Forest Change and Its Effect on Biomass in Yok Don National Park in Central Highlands of Vietnam Using Ground Data and Geospatial Techniques

Advances in Remote Sensing

ISSN Print: 2169-267X
ISSN Online: 2169-2688
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"Forest Change and Its Effect on Biomass in Yok Don National Park in Central Highlands of Vietnam Using Ground Data and Geospatial Techniques"
written by Nguyen Viet Luong, Ryutaro Tateishi, Nguyen Thanh Hoan, To Trong Tu,
published by Advances in Remote Sensing, Vol.4 No.2, 2015

has been cited by the following article(s):

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[1]	The Complex Reality of National Park Development under Authoritarianism: Yok Don and Chu Mom Ray, Vietnam
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[2]	MACHINE LEARNING PREDICTION OF TROPICAL FOREST ABOVE-GROUND BIOMASS ESTIMATION
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[3]	Effects of tree diversity and stand structure on above-ground carbon storage in evergreen broad-leaved and deciduous forests in Southeast Vietnam
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[4]	Allometric Equations for the Estimation of Biomass and Carbon in the Sub‐tropical Pine Forests of India
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[5]	The impacts of logging on carbon stocks, tree diversity and forest recovery in Vietnam
	2020

[6]	The potential for REDD+ to reduce forest degradation in Vietnam
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[7]	Logging intensity drives variability in carbon stocks in lowland forests in Vietnam
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[8]	Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam
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[9]	Mapping and Estimating Above Ground Biomass and Carbon Stock Using Sentinel Imagery in Yayu Forest, South West of Ethiopia
	2019

[10]	Aboveground biomass dynamics after a reforestation program in San Luis Potosí State
	2017

[11]	Dinámica de la biomasa aérea derivada de un programa de reforestación en San Luis Potosí
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[12]	Land cover mapping in Yok Don National Park, Central Highlands of Viet Nam using Landsat 8 OLI images
	2017

[13]	Large-Scale Carbon Stock Assessment in Tropical Dry Deciduous Forest of Sathanur Reserve Forest, Eastern Ghats, India
	2016

[14]	Large scale carbon stock assessment in tropical dry deciduous forest of sathanur reserve forest eastern ghats india
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[15]	Across the grain: Multi-scale map comparison and land change assessment
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[1]	Multi-sensor forest aboveground biomass estimation using GEDI, machine learning, and deep learning techniques Advances in Space Research, 2026 DOI:10.1016/j.asr.2025.12.032

[2]	Monitoring spatial-temporal dynamics of drought over Yok Don National Park using Temperature-soil Moisture Dryness Index (TMDI) Vietnam Journal of Earth Sciences, 2025 DOI:10.15625/2615-9783/22704

[3]	Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery and Deep Learning 2025 IEEE 4th International Conference on Computing and Machine Intelligence (ICMI), 2025 DOI:10.1109/ICMI65310.2025.11141095

[4]	Xây dựng bản đồ hiện trạng rừng phòng hộ Núi Cậu - Dầu Tiếng, tỉnh Bình Dương TẠP CHÍ KHOA HỌC VÀ CÔNG NGHỆ LÂM NGHIỆP, 2024 DOI:10.55250/Jo.vnuf.13.6.2024.093-104

[5]	Estimating Above Ground Forest Biomass Using High-Resolution NAIP Imagery, Machine Learning, and Google Earth Engine 2024 IEEE Asia-Pacific Conference on Geoscience, Electronics and Remote Sensing Technology (AGERS), 2024 DOI:10.1109/AGERS65212.2024.10932891

[6]	Tree diversity and species composition of tropical dry forests in Vietnam's Central Highlands Region Forestry Studies, 2021 DOI:10.2478/fsmu-2021-0013

[7]	Climate Impacts on Sustainable Natural Resource Management 2021 DOI:10.1002/9781119793403.ch6

[8]	The potential for REDD+ to reduce forest degradation in Vietnam Environmental Research Letters, 2020 DOI:10.1088/1748-9326/ab905a

[9]	Logging intensity drives variability in carbon stocks in lowland forests in Vietnam Forest Ecology and Management, 2020 DOI:10.1016/j.foreco.2020.117863

[10]	Forest aboveground biomass estimation using machine learning regression algorithm in Yok Don National Park, Vietnam Ecological Informatics, 2019 DOI:10.1016/j.ecoinf.2018.12.010

[11]	Across the grain: Multi-scale map comparison and land change assessment Ecological Indicators, 2016 DOI:10.1016/j.ecolind.2016.06.056

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