International Journal of Geosciences

International Journal of Geosciences

ISSN Print: 2156-8359
ISSN Online: 2156-8367
www.scirp.net/journal/ijg
E-mail: [email protected]
"Rubber Tree Distribution Mapping in Northeast Thailand"
written by Zhe Li, Jefferson M. Fox,
published by International Journal of Geosciences, Vol.2 No.4, 2011
has been cited by the following article(s):
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[2] Identification of rubber plantations in southwestern China based on multi-source remote sensing data and phenology windows
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[3] Rubber expansion and age-class mapping in the state of Tripura (India) 1990–2021 using multi-year and multi-sensor data
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[4] Remote sensing for mango and rubber mapping and characterization for carbon stock estimation—Case Study of Malihabad Tehsil (UP) and West Tripura District …
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[5] Bare Land Referenced Algorithm from Hyper-Temporal Data (BRAH) for Land Use and Land Cover Age Estimation
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[6] Semi-Automatic Classification of Rotating Crops in Northern Thailand by Using Temporal LANDSAT Images
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[7] Transformative Interventions Towards Socio-Economic and Environmental Sustainability of Smallholder Rubber
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[8] 海南岛西部植胶区水质状况及其评价.
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[9] Synergistic Use of Sentinel-1 and Sentinel-2 to Map Natural Forest and Acacia Plantation and Stand Ages in North-Central Vietnam
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[10] Application of Optical Remote Sensing in Rubber Plantations: A Systematic Review
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[11] Latest 30-m map of mature rubber plantations in Mainland Southeast Asia and Yunnan province of China: Spatial patterns and geographical characteristics
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[12] Biomass supply chain for power generation in southern part of Thailand
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[13] Using machine learning algorithm and landsat time series to identify establishment year of para rubber plantations: A case study in Thalang district, Phuket Island …
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[14] Sentinel-2 red-edge spectral indices (RESI) suitability for mapping rubber boom in Luang Namtha Province, northern Lao PDR
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[15] A renormalized modified normalized burn ratio (RMNBR) index for detecting mature rubber plantations with Landsat-8 OLI in Xishuangbanna, China
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[16] Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification
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[17] Simulating land use for protecting food crop areas in northeast Thailand using GIS and Dyna-CLUE
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[18] Is the phenology-based algorithm for mapping deciduous rubber plantations applicable in an emerging region of northern Laos?
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[19] Automatic Classification of Pararubber Trees in Thailand from LANDSAT-8 Images using Neural Networks Method
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[20] Rubber production in Continental Southeast Asia: its potentialities and limitations
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[21] Mapping rubber stand ages in Luangnamtha district (Northern Laos) using NDVI and LSWI from Landsat images
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[22] The role of physiography and land suitability in the distribution of rubber plantation in Tripura
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[23] The viability of remote sensing for extracting rubber smallholding information: A case study in Malaysia
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[24] Monitoring rubber plantation expansion using Landsat data time series and a Shapelet-based approach
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[25] The household economics of rubber intercropping during the immature period in Northeast Thailand
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[26] Expansion dynamics of deciduous rubber plantations in Xishuangbanna, China during 2000–2010
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[27] Stand age estimation of rubber (Hevea brasiliensis) plantations using an integrated pixel-and object-based tree growth model and annual Landsat time series
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[28] Identifying Establishment Year and Pre-Conversion Land Cover of Rubber Plantations on Hainan Island, China Using Landsat Data during 1987–2015
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[29] Climate change impact assessment on the potential rubber cultivating area in the Greater Mekong Subregion
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[30] An Evaluation of EO-1 Hyperion Data for Estimating Age of Rubber Plantation
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[31] COMBINATION OF ALOS PALSAR AND LANDSAT 5 IMAGERY FOR RUBBER TREE MAPPING
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[32] Extracting distribution and expansion of rubber plantations from Landsat imagery using the C5. 0 decision tree method
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[33] Hierarchical classification approach for mapping rubber tree growth using per-pixel and object-oriented classifiers with SPOT-5 imagery
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[34] Mapping rubber trees based on phenological analysis of Landsat time series datasets
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[35] A Hybrid Approach to Improve Classification Accuracy of Mapping Perennial Crops in Bảo Lâm District, Lâm Đồng Province
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[36] Monitoring and mapping of the extent of industrial forests in Malaysia
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[37] Spatiotemporal changes of global rubber production during 1961-2013
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[38] Estimating Leaf Area Index of Rubber Tree Plantation Using Worldview-2 Imagery
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[39] INFLUENCE OF SEEDLING ESTABLISHMENT TECHNIQUES AND IRRIGATION SYSTEMS ON GROWTH, WATER USE EFFICIENCY AND NUTRIENT …
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[40] Policy-driven rubber plantation and its driving factors: a case of smallholders in northeast Thailand
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[41] Advancing Ecohealth in Southeast Asia and China: Lessons from the Field Building Leadership Initiative
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[42] Pushing the Limits: The Pattern and Dynamics of Rubber Monoculture Expansion in Xishuangbanna, SW China
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[43] STAND AGE MODEL FOR MAPPING SPATIAL DISTRIBUTION OF RUBBER TREE USING REMOTELY SENSED DATA IN KEDAH, MALAYSIA
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[44] Review of remote sensing monitoring and socioeconomic and environmental impacts of rubber plantation expansion in Laos in the geoeconomic context
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[45] 地缘经济背景下的老挝橡胶林地扩张监测及其影响研究综述
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[46] Mapping tropical forests and deciduous rubber plantations in Hainan Island, China by integrating PALSAR 25-m and multi-temporal Landsat images
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[47] 1961-2013 年全球橡胶生产时空演变特征
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[48] Mapping rubber tree plantations using a Landsat-based phenological algorithm in Xishuangbanna, southwest China
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[49] Estimating Aboveground Biomass of Rubber Tree Using Remote Sensing in Phuket Province, Thailand
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[50] Mapping Deciduous Rubber Plantation Areas and Stand Ages with PALSAR and Landsat Images
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[51] Cross-border forest disturbance and the role of natural rubber in mainland Southeast Asia using annual Landsat time series
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[52] Mapping Rubber Tree Stand Age using Pléiades Satellite Imagery: A Case Study in Talang District, Phuket, Thailand
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[53] 中老缅泰交界地区土地利用变化信息挖掘与国别对比
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[54] Índices de vegetação em seringais, outras culturas arbóreas e remanescentes florestais no noroeste do Estado de São Paulo.
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[55] Information Detecting and Inter-national Comparison of Land Use Changes in the Border Region of China, Laos, Myanmar and Thailand
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[56] SPATIO-TEMPORAL ANALYSIS OF RUBBER AREA AND ITS ASSOCIATION WITH SOIL AND TOPOGRAPHY IN KANYAKUMARI DISTRICT
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[57] Initial results of the spatial distribution of rubber trees in Peninsular Malaysia using remotely sensed data for biomass estimate
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[58] Object-oriented classification of rubber plantations from Landsat satellite imagery
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[59] 中南半岛森林覆被变化研究进展
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[60] Progress of research on forest land cover change in the Indo-China Peninsula
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[61] Mapping deciduous rubber plantations through integration of PALSAR and multi-temporal Landsat imagery
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[62] RUBBER TREE EXPANSION IN FOREST RESERVE AND PADDY FIELD ACROSS THE GREATER MEKONG SUB-REGION, NORTHEAST THAILAND BASED ON REMOTELY SENSED IMAGERY
C MONGKOLSAWAT, W PUTKLANG - negistda.kku.ac.th, 2012
[63] Assessing Thaichote satellite data in support of mapping rubber tree plantation in Northeast Thailand
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[64] An Application of THEOS Data to Rubber Plantation Areas in Mukdahan Province, Northeast Thailand
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