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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">ojapps</journal-id>
      <journal-title-group>
        <journal-title>Open Journal of Applied Sciences</journal-title>
      </journal-title-group>
      <issn pub-type="epub">2165-3925</issn>
      <issn pub-type="ppub">2165-3917</issn>
      <publisher>
        <publisher-name>Scientific Research Publishing</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.4236/ojapps.2025.1512248</article-id>
      <article-id pub-id-type="publisher-id">ojapps-147834</article-id>
      <article-categories>
        <subj-group>
          <subject>Article</subject>
        </subj-group>
        <subj-group>
          <subject>Biomedical</subject>
          <subject>Life Sciences</subject>
          <subject>Chemistry</subject>
          <subject>Materials Science</subject>
          <subject>Computer Science</subject>
          <subject>Communications</subject>
          <subject>Engineering</subject>
          <subject>Physics</subject>
          <subject>Mathematics</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Mapping Land Use and the Impacts of Hydro-Agricultural Developments in the Kabaline Sub-Watershed, Lower Casamance (Senegal)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0000-0001-5087-6009</contrib-id>
          <name name-style="western">
            <surname>Sambou</surname>
            <given-names>Hyacinthe</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0007-1428-6061</contrib-id>
          <name name-style="western">
            <surname>Drame</surname>
            <given-names>Fode Amata</given-names>
          </name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <contrib-id contrib-id-type="orcid">0009-0005-7068-4051</contrib-id>
          <name name-style="western">
            <surname>Faye</surname>
            <given-names>Cheikh Sadibou</given-names>
          </name>
          <xref ref-type="aff" rid="aff2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="aff1"><label>1</label> Institute of Environmental Sciences, Cheikh Anta Diop University, Dakar, Senegal </aff>
      <aff id="aff2"><label>2</label> Civil Engineering Department, Thiès Polytechnic School (EPT), Thiès, Senegal </aff>
      <author-notes>
        <fn fn-type="conflict" id="fn-conflict">
          <p>The authors declare no conflicts of interest regarding the publication of this paper.</p>
        </fn>
      </author-notes>
      <pub-date pub-type="epub">
        <day>27</day>
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <pub-date pub-type="collection">
        <month>11</month>
        <year>2025</year>
      </pub-date>
      <volume>15</volume>
      <issue>12</issue>
      <fpage>3828</fpage>
      <lpage>3842</lpage>
      <history>
        <date date-type="received">
          <day>01</day>
          <month>11</month>
          <year>2025</year>
        </date>
        <date date-type="accepted">
          <day>05</day>
          <month>12</month>
          <year>2025</year>
        </date>
        <date date-type="published">
          <day>08</day>
          <month>12</month>
          <year>2025</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>© 2025 by the authors and Scientific Research Publishing Inc.</copyright-statement>
        <copyright-year>2025</copyright-year>
        <license license-type="open-access">
          <license-p> This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">https://creativecommons.org/licenses/by/4.0/</ext-link> ). </license-p>
        </license>
      </permissions>
      <self-uri content-type="doi" xlink:href="https://doi.org/10.4236/ojapps.2025.1512248">https://doi.org/10.4236/ojapps.2025.1512248</self-uri>
      <abstract>
        <p>In Lower Casamance, rice cultivation is developing in lowlands and valleys. It is mainly rain-fed. Rice plays a major role in dietary habits. It is a symbol in cultural activities. However, rice cultivation faces many constraints, such as rainfall deficits, but above all, soil salinization and acidification. This study focuses on analyzing changes in land use and the impacts caused by hydro-agricultural developments in the Kabaline sub-watershed. The methodology used is based on diachronic mapping through the processing of Landsat satellite images from 1984, 2006, and 2024, combined with field surveys. The results of satellite image processing showed a significant increase in the area of dense dry forests between 1984 and 2024. In contrast, a sharp decline in the area of wooded savannas and plateau fields was observed. Furthermore, the creation of change maps revealed that between 1984 and 2024, 768.59 hectares of wooded savannahs became dense dry forests. However, 101.76 hectares of plateau fields and 74.45 hectares of dense dry forests became wooded savannas between 1984 and 2024. Lowland fields increased in size between 2000 and 2024. This trend is the result of hydro-agricultural developments carried out in the sub-watershed since 1992. These results show that state authorities must encourage this type of development and involve local communities more closely in the management and conservation of these structures in order to intensify rice cultivation, which is the primary objective of these developments.</p>
      </abstract>
      <kwd-group kwd-group-type="author-generated" xml:lang="en">
        <kwd>Impacts</kwd>
        <kwd>Hydro-Agricultural Developments</kwd>
        <kwd>Cartography</kwd>
        <kwd>Sub-Watershed</kwd>
        <kwd>Lower Casamance</kwd>
      </kwd-group>
    </article-meta>
  </front>
  <body>
    <sec id="sec1">
      <title>1. Introduction</title>
      <p>Earth observation from space is becoming an increasingly indispensable tool in the development of a multitude of scientific disciplines. This technique makes it possible to track the dynamic changes and transformations undergone by the Earth through diachronic analyses [<xref ref-type="bibr" rid="B1">1</xref>][<xref ref-type="bibr" rid="B2">2</xref>]. Indeed, thanks to new information and communication technologies, the last two decades have seen an unprecedented boom in scientific work in Earth monitoring.</p>
      <p>Lower Casamance, located in southern Senegal in the Ziguinchor region, covers an area of 7339 km<sup>2</sup> (<xref ref-type="fig" rid="fig1">Figure 1</xref>). In terms of climate, it belongs to the South Sudanese coastal domain [<xref ref-type="bibr" rid="B3">3</xref>]. It is considered one of the rainiest regions in the country with very rich agricultural land. In addition, Lower Casamance is crisscrossed by numerous rivers and valleys (the Casamance River and its tributaries) with a concentration of surface and underground water flows, thus favoring the cultivation of these depressions. It has long been self-sufficient in rice. However, for several decades, the region has been subject to soil salinization and acidification, exacerbated by climate variability, marked since 1968 by a significant decrease in rainfall and a change in the water regime, as well as a reduction in the flow of the Casamance River and its tributaries [<xref ref-type="bibr" rid="B4">4</xref>][<xref ref-type="bibr" rid="B5">5</xref>]. Some of its valleys are also marked by a profound invasion of seawater inland due to the low slopes. According to the National Institute of Pedology [<xref ref-type="bibr" rid="B6">6</xref>], 73% of Senegal’s saline soils are located in the alluvial valleys of the Casamance and Senegal rivers. However, the Diola society of Casamance, the main player in lowland rice cultivation, demonstrates remarkable expertise in the development of rice fields compared to other rice-growing societies [<xref ref-type="bibr" rid="B7">7</xref>][<xref ref-type="bibr" rid="B8">8</xref>]. This has affected agricultural activities, which are the main sources of income and food for the population. To address this phenomenon, water management is seen as a strategy for securing rice production, resulting in the development of small, traditionally designed hydro-agricultural structures. Numerous small anti-salt structures have been installed throughout the Ziguinchor region. The purpose of these hydraulic structures is to recover and make profitable some of these valleys affected by salinization and rainfall deficit in order to intensify rice production. The salinization of lowlands and valleys and the construction of small anti-salt structures in Lower Casamance have attracted the interest of many researchers since the 1960s, including [<xref ref-type="bibr" rid="B9">9</xref>]-[<xref ref-type="bibr" rid="B14">14</xref>]. However, given the extent of salinization and acidification of agricultural land, the impact of small, traditionally designed hydro-agricultural structures appeared to be limited.</p>
      <p>This led to the construction of more modernized anti-salt micro-dams in the area starting in the 1990s, in the hope of substantially slowing down the salinization of rice-growing land. However, the proliferation of these types of structures has led to changes in ecosystems, which in turn have led to changes in land use around the structures. Numerous studies have been conducted in the area to explain the phenomenon of salinization and identify the different types of saline soils [<xref ref-type="bibr" rid="B15">15</xref>]-[<xref ref-type="bibr" rid="B17">17</xref>] and the dynamics of agricultural landscapes on agricultural activities [<xref ref-type="bibr" rid="B18">18</xref>][<xref ref-type="bibr" rid="B19">19</xref>]. There has been little research into changes in land occupation and use around anti-salt structures in the area. Today, the planning and monitoring of rice-growing areas is a constant concern for those involved in water resource management and for producers for whom rice plays a major role in their diet and in certain cultural rituals. In order to understand the dynamics of land use change around anti-salt structures and analyze their impact on rice farming, we undertook this study in Lower Casamance, an area characterized by a predominance of rice cultivation (more than 80%). Rice farming, the main activity in the area, is influenced by climatic hazards that cause significant changes. Space-based remote sensing offers opportunities for continuous observation of the Earth’s surface. Thanks to remote sensing, it is possible to create databases that provide information on the state of natural ecosystems and their evolution. In Sudanian regions undergoing rapid socio-environmental change [<xref ref-type="bibr" rid="B20">20</xref>][<xref ref-type="bibr" rid="B21">21</xref>], monitoring land use is essential for establishing a diagnosis and better understanding the causes of vegetation change and its consequences.</p>
      <p>It is a suitable tool for understanding spatio-temporal changes in land use [<xref ref-type="bibr" rid="B22">22</xref>]. The availability of Landsat satellite images provides an opportunity to characterize the evolution of the soil in this sub-watershed. However, the heavy reliance on spectral characteristics is one of the main reasons for the unreliability of the classified map [<xref ref-type="bibr" rid="B23">23</xref>]. To overcome this constraint specific to remote sensing, we used field data to improve the accuracy of classification and the reliability of land cover maps obtained from Landsat data from 1984, 2000, and 2025. This topic has become essential in most cartographic inventories and environmental monitoring [<xref ref-type="bibr" rid="B24">24</xref>]. Unable to study changes in land use and occupation around saltwater barriers across all production systems in Lower Casamance, this study focuses on analyzing changes in occupation and the impacts caused by hydro-agricultural developments. It centers on the Kabaline sub-watershed.</p>
    </sec>
    <sec id="sec2">
      <title>2. Materials and Methods</title>
      <sec id="sec2dot1">
        <title>2.1. Presentation of the Study Area</title>
        <p>The Kabaline sub-basin is located in the Tendouck district, Bignona department. It is situated between the municipalities of Balingor and Diégoune, between 16˚22'00" and 16˚25'30" west longitude and 12˚45'30" and 12˚48'30" north latitude (<xref ref-type="fig" rid="fig1">Figure 1</xref>). The flat terrain consists of vast plains and large valleys suitable for agriculture and livestock farming. The geomorphology is characterized by plateau soils, ferralitic and ferruginous soils, rich hydromorphic soils near estuaries and along watercourses, clayey lowland soils used for rice cultivation, and poor halomorphic soils characterized by high salinity, which are unsuitable for agricultural activities [<xref ref-type="bibr" rid="B25">25</xref>]. Climate According to [<xref ref-type="bibr" rid="B3">3</xref>], it belongs to the South Sudanese coastal climate zone. Its location in this zone gives it particular characteristics. It is the rainiest area in Senegal [<xref ref-type="bibr" rid="B26">26</xref>]. Average annual rainfall is 1500 mm. The high rainfall is one of the main features that makes this region suitable for agriculture, particularly flooded rice cultivation. Temperatures vary between 38˚C and 22˚C. The forest area consists of dense, open forests and gallery forests located mainly in the southern part, wooded and tree-covered savannas, mangroves, and palm groves that colonize the riverine and maritime zone. Most dense dry forests are traditionally protected sites because they are sacred places, which gives them special protected status. There are also rattan groves [<xref ref-type="bibr" rid="B27">27</xref>].</p>
        <fig id="fig1">
          <label>Figure 1</label>
          <graphic xlink:href="https://html.scirp.org/file/2313490-rId19.jpeg?20251208022220" />
        </fig>
        <p><bold>Figure 1</bold><bold>.</bold> Map of the study area location.</p>
      </sec>
      <sec id="sec2dot2">
        <title>2.2. Satellite Data Collection</title>
        <p>This study required the use of three (03) satellite images from Landsat Thematic Mapper (TM) sensors for the 1984 image, Enhanced Thematic Mapper Plus (ETM+) for the 2000 image, and Operational Land Imager (OLI) for the 2025 image. The year 1984 was characterized by a rainfall deficit in the study area (a continuation of the drought period of the 1970s). It was also a year in which the fight against salinization of rice fields was mainly carried out using traditional anti-salt structures. The year 2000 marked the end of the drought. It also marked the advent of more or less modernized anti-salt structures. Then, in 2025, rainfall gradually returned to normal levels. Similarly, this year was chosen not only because it was when the field missions took place, but also to allow sufficient time to assess the long-term effects of developments that began in the 1990s. All images used in this study were taken during the dry season in December for all satellite images from 1984, 2000, and 2025. The dry season was chosen because cloud cover is lowest during this period. Furthermore, as the study took into account the inventory of herbaceous plant species in rice fields, December appears to be the most appropriate month. In addition, using images from the same season in a study of changes helps to reduce seasonal effects [<xref ref-type="bibr" rid="B28">28</xref>].</p>
      </sec>
      <sec id="sec2dot3">
        <title>2.3. Mapping of Land Use Units</title>
        <p>Mapping the spatiotemporal dynamics of land use in the Kabaline sub-watershed in Lower Casamance began with the development of land use maps. The sub-watershed is entirely covered by the Landsat 205-51 scene. For each image, color composites were created by combining the OLI 6/5/4 and TM/ETM+ 5/4/3 bands, corresponding respectively to the mid-infrared, near-infrared, and red spectral bands after extraction of the study area from the scene. Based on the color compositions, 180 points were selected from the images according to their spectral signature, and their geographical coordinates were recorded. In addition, three field missions were conducted (prospecting mission, classification verification mission, and classification validation mission). The first consisted of visually checking the land use classes in the field. This task was carried out after acquiring satellite data in order to determine the units corresponding to the areas identified on the color compositions. These different land use units were referenced and described in the field based on physical criteria such as stratification, land use types, structure, and plant species.</p>
        <p>During field missions, the first task was to visually verify land cover classes in the field. Thus, based on the reflectance of the different strata that make up the satellite images, a supervised classification using the maximum likelihood algorithm was performed according to the different strata [<xref ref-type="bibr" rid="B29">29</xref>]. The classification quality was estimated using a confusion matrix [<xref ref-type="bibr" rid="B30">30</xref>][<xref ref-type="bibr" rid="B31">31</xref>]. The overall accuracies obtained were 88%, 89%, and 93% for the 1984, 2000, and 2024 satellite images, respectively. However, slight confusion was noted between hillside fields and ponds on the one hand, and mudflats and ponds on the other. </p>
      </sec>
      <sec id="sec2dot4">
        <title>2.4. Analysis of the Dynamics of Changes in Land Use in Different Areas from 1984 to 2024</title>
        <p>The analysis of the spatio-temporal dynamics of land cover units in the study area focused on the quantitative distribution of land cover units for each year (1984, 2000, and 2024) and their evolution during the study period. The spatio-temporal evolution of each land cover unit was assessed by determining the areas of different land cover types on the images processed for the dates on which they were taken [<xref ref-type="bibr" rid="B32">32</xref>]. Thus, histograms were created based on the surface areas of land use units. For the statistical analysis of land use dynamics, the rate of stability, regression, or progression of landscape units was first calculated from one year to the next. This calculation was performed using the formula applied by [<xref ref-type="bibr" rid="B33">33</xref>] to measure changes in area between two given dates. The variable considered here is area (A). Thus, for <italic>S</italic><sub>1</sub> and <italic>S</italic><sub>2</sub>, corresponding respectively to the area of a land use unit in 1984, 2006, and 2024, the rates of change in area are calculated using the following formula:</p>
        <disp-formula id="FD1">
          <mml:math>
            <mml:mrow>
              <mml:mi>T</mml:mi>
              <mml:mi>v</mml:mi>
              <mml:mo>
              </mml:mo>
              <mml:mrow>
                <mml:mo>(</mml:mo>
                <mml:mi>%</mml:mi>
                <mml:mo>)</mml:mo>
              </mml:mrow>
              <mml:mo>=</mml:mo>
              <mml:mfrac>
                <mml:mrow>
                  <mml:msub>
                    <mml:mi>S</mml:mi>
                    <mml:mn>2</mml:mn>
                  </mml:msub>
                </mml:mrow>
                <mml:mrow>
                  <mml:msub>
                    <mml:mi>S</mml:mi>
                    <mml:mn>1</mml:mn>
                  </mml:msub>
                </mml:mrow>
              </mml:mfrac>
              <mml:mo>−</mml:mo>
              <mml:mn>1</mml:mn>
              <mml:mo>∗</mml:mo>
              <mml:mn>100</mml:mn>
            </mml:mrow>
          </mml:math>
        </disp-formula>
        <p><italic>S</italic><sub>2</sub> − <italic>S</italic><sub>1</sub> = negative, we conclude that there has been a decline in vegetation cover from year 1 to year 2.</p>
        <p><italic>S</italic><sub>2</sub> − <italic>S</italic><sub>1</sub> = positive, we conclude that there has been an increase in vegetation cover from year 1 to year 2.</p>
        <p><italic>S</italic><sub>2</sub> − <italic>S</italic><sub>1</sub> = zero, we conclude that vegetation cover has remained stable from year 1 to year 2.</p>
      </sec>
    </sec>
    <sec id="sec3">
      <title>3. Results—Spatio-Temporal Dynamics of Land Use Units in the Kabaline Sub-Watershed between 1984 and 2024</title>
      <sec id="sec3dot1">
        <title>3.1. Land Use Status in 1984</title>
        <p>In 1984, land use mapping showed a predominance of vegetation cover, consisting mainly of dense dry forest and wooded savanna (<xref ref-type="fig" rid="fig2">Figure 2</xref>). At that time, dense forest covered 10.5% of the 287.5 ha sub-watershed. As for the wooded savanna, it covered 1580.7 hectares, representing 57.5% of the entire sub-watershed. In 1984, agricultural areas consisted of plateau rice fields and slopes covering a total area of 811 hectares, with 297 hectares and 514 hectares, respectively. Tans, water, and mudflats were the least represented land use types in 1984. These types covered 1 hectare, 2.1 hectares, and 17.7 hectares, respectively.</p>
        <fig id="fig2">
          <label>Figure 2</label>
          <graphic xlink:href="https://html.scirp.org/file/2313490-rId22.jpeg?20251208022221" />
        </fig>
        <p><bold>Figure 2</bold><bold>.</bold> Spatial evolution of land use units in the Kabaline sub-watershed between 1984 and 2024.</p>
      </sec>
      <sec id="sec3dot2">
        <title>3.2. Land Use Status in 2006</title>
        <p>In 2000, the area covered by wooded savannahs declined from 57.50% in 1984 to 50.60% in 2000 (<bold>Table 1</bold>) in the Kabaline sub-basin. At the same time, there has been an increase in the area of dense dry forests. From 10.50% in 1984, their area increased to 24% in 2000. In contrast, there has been a decline in the area of rice fields. Thus, plateau rice fields and hillside rice fields declined from 10.8% to 9.00% and from 18.1% to 8.1%, respectively, between 1984 and 2000. The construction of the anti-salt micro-dam in 2000 contributed significantly to the emergence of low-lying rice fields covering an area of 62.8 hectares (<xref ref-type="fig" rid="fig2">Figure 2</xref>). Similarly, in 2000, there was more than a twofold increase in built-up land and mudflats.</p>
        <p><bold>Table 1.</bold> Changes in land use units in the Kabaline sub-watershed between 1984 and 2024.</p>
        <table-wrap id="tbl1">
          <label>Table 1</label>
          <table>
            <tbody>
              <tr>
                <td rowspan="2">Land Use Units</td>
                <td colspan="2">1984</td>
                <td colspan="2">2000</td>
                <td colspan="2">2024</td>
              </tr>
              <tr>
                <td>Area (ha)</td>
                <td>%</td>
                <td>Area (ha)</td>
                <td>%</td>
                <td>Area (ha)</td>
                <td>%</td>
              </tr>
              <tr>
                <td>Habitat</td>
                <td>49.4</td>
                <td>1.8</td>
                <td>101.6</td>
                <td>3.7</td>
                <td>83.42</td>
                <td>3.03</td>
              </tr>
              <tr>
                <td>Water</td>
                <td>2.1</td>
                <td>0</td>
                <td>8.3</td>
                <td>0.3</td>
                <td>80.27</td>
                <td>2.92</td>
              </tr>
              <tr>
                <td>Hup Crop Land</td>
                <td>297</td>
                <td>10.8</td>
                <td>248.6</td>
                <td>9</td>
                <td>16.80</td>
                <td>0.61</td>
              </tr>
              <tr>
                <td>Forest</td>
                <td>287.5</td>
                <td>10.5</td>
                <td>659.1</td>
                <td>24</td>
                <td>1188.15</td>
                <td>43.21</td>
              </tr>
              <tr>
                <td>Medium Crop Land</td>
                <td>514</td>
                <td>18.1</td>
                <td>233.6</td>
                <td>8.5</td>
                <td>227.57</td>
                <td>8.28</td>
              </tr>
              <tr>
                <td>Low Crop Land</td>
                <td>0</td>
                <td>0</td>
                <td>62.8</td>
                <td>2.3</td>
                <td>82.70</td>
                <td>3.01</td>
              </tr>
              <tr>
                <td>Woody Savannah</td>
                <td>1580.7</td>
                <td>57.5</td>
                <td>1392.8</td>
                <td>50.6</td>
                <td>1065.94</td>
                <td>38.77</td>
              </tr>
              <tr>
                <td>Tan</td>
                <td>1</td>
                <td>0</td>
                <td>2</td>
                <td>0.1</td>
                <td>1.17</td>
                <td>0.04</td>
              </tr>
              <tr>
                <td>Mudflat</td>
                <td>17.7</td>
                <td>0.7</td>
                <td>40.6</td>
                <td>1.5</td>
                <td>3.44</td>
                <td>0.13</td>
              </tr>
              <tr>
                <td>Total</td>
                <td>2749.4</td>
                <td>100</td>
                <td>2749.4</td>
                <td>100</td>
                <td>2749.47</td>
                <td>100.00</td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
      </sec>
      <sec id="sec3dot3">
        <title>3.3. Land Use Status in 2024</title>
        <p>In 2024, the Kabaline sub-watershed is dominated by vegetation formations. Dense dry forests have increased significantly. Their area has grown from 659.1 hectares in 2000 to 1188.15 hectares in 2024, occupying 43.21% of the sub-watershed. However, a decline in the area of wooded savannas has been noted. From 1392.8 hectares in 2000, their area decreased to 1065.94 hectares in 2024. One of the most notable changes in 2024 is in the land use category of lowland rice fields. Their area decreased from 0.00% in 1984 to 3.01% in 2024. As for plateau rice fields, their area has decreased significantly from 9.00% in 2000 to 0.61% in 2024 (<bold>Table 1</bold>). Mudflats have virtually disappeared in 20224, leaving only a few entities. In summary, from 1984 to 2024, land use dynamics in the Kabaline sub-watershed reveal a steady increase in dense dry forests and a decline in wooded savannas and agricultural areas, except for lowland farming areas.</p>
        <p>The changes that have occurred in the different types of land use are illustrated by the transition matrices (<bold>Table 2</bold> and <xref ref-type="fig" rid="fig3">Figure 3</xref>). <xref ref-type="fig" rid="fig3">Figure 3</xref> shows that conversions are mainly located in the central part of the sub-watershed, while changes are more localized in the western part. Between 1984 and 2024, the type of land cover that remained most stable was waterways, at 100%. Meanwhile, wooded savanna was one of the land cover types that underwent the most change.</p>
        <p><bold>Table 2.</bold> Transition matrix for land use units between 1984 and 2024.</p>
        <table-wrap id="tbl2">
          <label>Table 2</label>
          <table>
            <tbody>
              <tr>
                <td>
                  <bold>1984-2024 (ha)</bold>
                </td>
                <td colspan="8">
                  <bold>LUC 1984</bold>
                </td>
                <td rowspan="2">
                  <bold>Total 2024(f)</bold>
                </td>
                <td rowspan="2">
                  <bold>Gain</bold>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>LUC 2024</bold>
                </td>
                <td>HCL</td>
                <td>WA</td>
                <td>FO</td>
                <td>HB</td>
                <td>MCL</td>
                <td>WS</td>
                <td>TA</td>
                <td>MU</td>
              </tr>
              <tr>
                <td>HCL</td>
                <td>178.71</td>
                <td>0.0</td>
                <td>0.72</td>
                <td>1.8</td>
                <td>44.34</td>
                <td>54.68</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>
                  <bold>280.25</bold>
                </td>
                <td>101.54</td>
              </tr>
              <tr>
                <td>WA</td>
                <td>0.0</td>
                <td>2.09</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>3.91</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>10.81</td>
                <td>
                  <bold>16.81</bold>
                </td>
                <td>14.72</td>
              </tr>
              <tr>
                <td>FO</td>
                <td>6.53</td>
                <td>0.0</td>
                <td>209.1</td>
                <td>0.33</td>
                <td>0.36</td>
                <td>768.59</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>
                  <bold>984.91</bold>
                </td>
                <td>775.81</td>
              </tr>
              <tr>
                <td>HB</td>
                <td>0.63</td>
                <td>0.0</td>
                <td>3.06</td>
                <td>45.92</td>
                <td>0.0</td>
                <td>40.81</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>
                  <bold>90.42</bold>
                </td>
                <td>44.5</td>
              </tr>
              <tr>
                <td>MCL</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.18</td>
                <td>0.0</td>
                <td>379.92</td>
                <td>6.84</td>
                <td>0.63</td>
                <td>0.0</td>
                <td>
                  <bold>387.57</bold>
                </td>
                <td>7.65</td>
              </tr>
              <tr>
                <td>LCL</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>81.76</td>
                <td>0.09</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>
                  <bold>81.85</bold>
                </td>
                <td>81.85</td>
              </tr>
              <tr>
                <td>WS</td>
                <td>101.76</td>
                <td>0.0</td>
                <td>74.45</td>
                <td>1.39</td>
                <td>0.0</td>
                <td>719.1</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>
                  <bold>896.7</bold>
                </td>
                <td>177.6</td>
              </tr>
              <tr>
                <td>TA</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>1.17</td>
                <td>0.0</td>
                <td>0.27</td>
                <td>0.0</td>
                <td>
                  <bold>1.44</bold>
                </td>
                <td>1.17</td>
              </tr>
              <tr>
                <td>MU</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>2.39</td>
                <td>0.0</td>
                <td>0.0</td>
                <td>6.91</td>
                <td>
                  <bold>9.3</bold>
                </td>
                <td>2.39</td>
              </tr>
              <tr>
                <td>
                  <bold>Total 1984(i)</bold>
                </td>
                <td>
                  <bold>287.63</bold>
                </td>
                <td>
                  <bold>2.09</bold>
                </td>
                <td>
                  <bold>287.51</bold>
                </td>
                <td>
                  <bold>49.44</bold>
                </td>
                <td>
                  <bold>513.85</bold>
                </td>
                <td>
                  <bold>1590.11</bold>
                </td>
                <td>
                  <bold>0.9</bold>
                </td>
                <td>
                  <bold>17.72</bold>
                </td>
                <td>
                  <bold>2749.25</bold>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>Perdue</bold>
                </td>
                <td>108.92</td>
                <td>0</td>
                <td>78.41</td>
                <td>3.52</td>
                <td>133.93</td>
                <td>871.01</td>
                <td>0.63</td>
                <td>10.81</td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>Total(f) - Total(i)</td>
                <td>−207.36</td>
                <td>14.72</td>
                <td>900.65</td>
                <td>33.97</td>
                <td>−286.50</td>
                <td>−524.18</td>
                <td>0.27</td>
                <td>−14.27</td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>
                  <bold>TC%</bold>
                </td>
                <td>
                  <bold>−72.09</bold>
                </td>
                <td>
                  <bold>705.93</bold>
                </td>
                <td>
                  <bold>313.27</bold>
                </td>
                <td>
                  <bold>68.71</bold>
                </td>
                <td>
                  <bold>−55.73</bold>
                </td>
                <td>
                  <bold>−32.96</bold>
                </td>
                <td>
                  <bold>30</bold>
                </td>
                <td>
                  <bold>−80.57</bold>
                </td>
                <td>
                </td>
                <td>
                </td>
              </tr>
              <tr>
                <td>TE Annual</td>
                <td>−1.80</td>
                <td>17.65</td>
                <td>7.83</td>
                <td>1.72</td>
                <td>−1.39</td>
                <td>−0.82</td>
                <td>0.75</td>
                <td>−2.01</td>
                <td>
                </td>
                <td>
                </td>
              </tr>
            </tbody>
          </table>
        </table-wrap>
        <p>HCL = Hup Crop Land; WA = Water; FO = Forest; HB = Habitat; MCL = Medium Crop Land; LCL = Low Crop Land; WS = Woody Savannah; TA = Tan; MU = Mudflat; TE = Annual Expansion Rate.</p>
        <fig id="fig3">
          <label>Figure 3</label>
          <graphic xlink:href="https://html.scirp.org/file/2313490-rId23.jpeg?20251208022221" />
        </fig>
        <p><bold>Figure 3</bold><bold>.</bold> Map of land use changes in the Kabaline sub-watershed between 1984 and 2024.</p>
        <p>During this same period, plant formations (dense dry forest and wooded savanna), although remaining the dominant formations in the landscape in 2024, underwent significant changes. Dense dry forests grew by 313.27%, representing an annual expansion rate of 7.83%, despite losing 74.45 hectares of their area to wooded savannah and 0.72 hectares to plateau fields between 1984 and 2024. The expansion of dense dry forests has been at the expense of other land cover types, mainly wooded savannas. Between 1984 and 2024, 768.59 hectares of wooded savannas and 6.53 hectares of plateau fields were converted into dense dry forests (<bold>Table 2</bold>). As for the wooded savanna, it declined by 32.96% between 1984 and 2024 (<bold>Table 2</bold>). This decline has benefited dense dry forests and plateau fields, with 768.59 hectares of land converted to dense dry forests and 54.68 hectares converted to plateau fields. In addition, 40.81 hectares of its area have also been converted into residential areas. Although 101.76 hectares of plateau fields and 74.45 hectares of dense dry forests have been converted and modified into wooded savannas, the overall trend is toward a decline in wooded savannas. Between 1984 and 2024, the areas of plateau fields and slopes declined by 72.09% and 55.73%, respectively. As a result, plateau fields have declined in favor of wooded savanna. During the study period, 101.76 hectares of plateau fields were converted to wooded savanna and 6.53 hectares to dense dry forest. At the same time, hillside fields have declined in favor of lowland fields, with 81.76 hectares of their area converted to lowland fields and 44.34 hectares to plateau fields.</p>
      </sec>
    </sec>
    <sec id="sec4">
      <title>4. Discussion</title>
      <p>The high cartographic accuracy achieved in this study can be explained by the good knowledge of the study area, but also by the small number of land cover classes used and the definition of homogeneous plots when selecting training sites [<xref ref-type="bibr" rid="B34">34</xref>]. However, the confusion noted between slope fields and tannes and between tannes and mudflats did not significantly affect the reliability of the classification, as it was only around 8.46% and 7.36%. The confusion between sloping fields and tannes could be explained by the fact that fields from which agricultural products are harvested appear as bare areas [<xref ref-type="bibr" rid="B29">29</xref>].</p>
      <p>The evolution of land use over the last forty years shows significant reforestation overall in the Kabaline sub-watershed in Lower Casamance, with an increase of 313.27% over forty years. This increase in forest areas in the study area has also been observed in central-western Burkina Faso [<xref ref-type="bibr" rid="B35">35</xref>], Benin [<xref ref-type="bibr" rid="B36">36</xref>], and Brazil [<xref ref-type="bibr" rid="B37">37</xref>]. This increase in forest area in the Kabaline sub-watershed could therefore be explained by the fact that dense dry forests have undergone fewer changes and conversions to other types of land use. Thus, several land use units have been converted back to dense dry forests. This is the case for wooded savannas, which have lost 768.59 hectares of their area in forty years to dense dry forests. The same is true for plateau fields, 6.53 hectares of which were converted to dense dry forests in 2024. In addition, this noticeable reforestation in the sub-basin could also be considered a positive impact of the construction of small anti-salt structures, which have helped to retain rainwater and reduce soil salinity. The protection of forest resources based on traditional social rules surrounding the “sacred” could also explain the reforestation of the sub-watershed. In fact, in the study area, the concept of sacredness goes beyond prohibitions based on legal laws. It carries the weight of a strict ban on cutting wood and even gathering it, which all citizens are required to respect, failing which they will face severe penalties. Contrary to our results, studies conducted by [<xref ref-type="bibr" rid="B34">34</xref>][<xref ref-type="bibr" rid="B38">38</xref>][<xref ref-type="bibr" rid="B39">39</xref>] and [<xref ref-type="bibr" rid="B40">40</xref>] have shown a regressive spatio-temporal dynamic of forest resources in the Sahelian and Sudanian zones of West Africa. Indeed, [<xref ref-type="bibr" rid="B34">34</xref>] showed drastic deforestation in the municipalities of Bantè, Glazoué, and Ouèssè in the Sudano-Guinean zone of Benin, while [<xref ref-type="bibr" rid="B38">38</xref>] in the Pama partial wildlife reserve and its surroundings (southeastern Burkina Faso) showed that vegetation has declined in favor of bare soil and rocky outcrops, while [<xref ref-type="bibr" rid="B39">39</xref>] demonstrated deforestation in favor of savannas in the natural grazing areas of transhumant herds in the municipalities of Banikoara and Karimama in Benin, and [<xref ref-type="bibr" rid="B40">40</xref>], whose study in the Agbo 1 classified forest in Côte d’Ivoire revealed a decline in forest cover in favor of agricultural areas.</p>
      <p>Unlike dense dry forests, wooded savannas are the land cover type that has undergone the most change in the sub-watershed studied. They have experienced a decline in the area. This decline could be the result of several factors. Anthropization is one of the factors behind this phenomenon. Between 1984 and 2024, 40.81 hectares of wooded savannas were converted into residential areas. Similarly, 54.68 hectares of wooded savannas were converted into plateau fields and 6.84 hectares into slope fields in 2024. Land clearing to increase the area of agricultural fields is one of the factors explaining the decline in tree savanna vegetation cover. These results are similar to those of [<xref ref-type="bibr" rid="B35">35</xref>]. Indeed, several authors have reported that changes in landscape composition in the Sahelo-Sudanese, Sudanese, Sudano-Guinean, and Guinean zones are the result of rapid and progressive anthropization manifested by unsustainable agro-silvo-pastoral practices [<xref ref-type="bibr" rid="B41">41</xref>]-[<xref ref-type="bibr" rid="B43">43</xref>]. Furthermore, our results contradict those of [<xref ref-type="bibr" rid="B44">44</xref>] and [<xref ref-type="bibr" rid="B45">45</xref>], who observed savannization in the Sudanese zone of Côte d’Ivoire. At the same time, the areas of plateaus and slopes also declined between 1984 and 2024, by 72.09% and 55.73% respectively, representing an annual rate of decline of 1.80% and 1.39%. These results corroborate those of [<xref ref-type="bibr" rid="B46">46</xref>], who found that in the rural commune of Kaour from 1990 to 2024 (Sédhiou/Casamance region, Senegal), there was a 45.57% decline in agricultural land between 1990 and 2006. There are two possible reasons for the decline in plateau and hillside cultivation. The first is related to the salinization and acidification of agricultural land prior to the construction of anti-salt structures in the sub-watershed. This situation led to the abandonment of agricultural activities in these farming areas, resulting in their savannization and even reforestation. In fact, 101.76 hectares of plateau fields have been converted into wooded savannahs and 6.53 hectares into dense dry forests. The second reason is the change in land use that took place in the hillside fields between 1984 and 2024, with 81.76 hectares of land being converted into lowland fields. These results confirm our hypothesis that the installation of anti-salt structures in the Kabaline sub-watershed has sparked interest among farmers, particularly rice farmers who cultivate rice in low-lying areas, as evidenced by the increase in the area of low-lying crops. However, the 30 m resolution of the Landsat data used may be a limitation in the spatial analysis of rice-growing areas. Rice cultivation in the area is traditional, with ridges measuring a few centimeters in height that are often submerged. Under these conditions, these features are not easily detectable by Landsat images. Looking ahead, the overall impact of anti-salt micro-dams and land use dynamics on rice cultivation in the Kabaline sub-watershed is an urgent need for the region and must be studied and analyzed accurately using appropriate tools and techniques, such as drone images or very high spatial resolution images (like Pléiades).</p>
    </sec>
    <sec id="sec5">
      <title>5. Conclusions</title>
      <p>Monitoring land use in the developed sub-watershed is essential for policymakers, development actors, and scientists alike. This detailed study of the sub-watershed developed by anti-salt micro-dams aimed to analyze changes in land use and the impacts of hydro-agricultural developments in the Kabaline sub-watershed. Several lessons can be learned about landscape change. Water retention by the structures has become a reality in the sub-basin. Although water is not available on a permanent basis, it has enabled the resumption of agricultural activities, particularly rice cultivation in the lowlands. Rational management of this water will therefore offer opportunities to intensify and diversify agricultural production. Land use changed considerably between 1984 and 2024. The most striking observation is the decline in agricultural fields on the plateau. On the other hand, the most encouraging observation is the restoration of vegetation cover, particularly dense dry forests. Changes in land use showed significant variations from one class to another. The most significant changes are those observed in shrub savanna formations. More than half of the tree savanna areas have undergone changes, the most significant of which has been to the benefit of dense dry forests. The sub-watershed studied is an area that needs to be well understood in order to better exploit its agricultural potential.</p>
      <p>The results obtained in this research, particularly those concerning changes in land use through remote sensing, are of great importance for understanding the most decisive factors. This study is a first step in the process of identifying land use patterns in the sub-basins of Lower Casamance. The practical aspect of this study also opens up prospects for research on the analysis of changes in rice fields, interactions between farmers’ organizations, and climate impacts. Several avenues should therefore be explored to better enhance the value of hydro-agricultural structures in the Kabaline sub-basin. Therefore, we strongly recommend that a policy be put in place to preserve land that is not contaminated by salt. In addition, local populations should be involved from the design phase through to project completion, drawing on their knowledge of micro-dam salt management. This approach will make it possible to move beyond a sectoral and vertical approach, empower local populations in the management of structures after projects, and ensure the long-term maintenance and effectiveness of anti-salt structures.</p>
    </sec>
    <sec id="sec6">
      <title>Acknowledgements</title>
      <p>This research is the product of the work of three researchers from the Geomatics Research and Teaching Laboratory affiliated with the Institute of Environmental Sciences and the Ecole Polytechnique de Ties (Senegal). We would like to express our sincere gratitude to the anonymous reviewers and the editor-in-chief of the journal for their constructive and valuable comments.</p>
    </sec>
  </body>
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