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Land cover in Cambodia (2015-2023)
The Cambodia national Land Cover time series (2015-2023) was derived from the Biophysical M&E Dashboard tool, being used by USAID/Cambodia to track performance and report on lan...
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Forest cover in Cambodia (2015-2023)
Through the implementation of USAID's Supporting Forests and Biodiversity (USAID SFB) ensuring ecological stability and biological productivity for landscape management and cons...
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Land cover in Vietnam 2015 - 2018
Landcover dataset 2015 - 2018 in Vietnam is a data set processed from remote sensing images of JAXA space center Japan. The dataset used PALSAR-2 / ScanSAR and MODIS / NDVI mult...
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Dataset on forest types, its management and governance in Vietnam
The dataset is intended to represent the location and information of land cover change detections. This data is the result of a collaborative project between the UN-REDD Vietnam...
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Forest cover in Cambodia (2015-2018)
This forest cover is extracted from the Forest Monitoring System (https://rlcms-servir.adpc.net/en/forest-monitor/) which is developed by SERVIR-Mekong and the Global Land Anal...
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GISTDA Forest Monitoring System (Thailand)
This is the list of web map services layers which is available from GISDTA Forest Monitoring System. Those layers are permanent forests, national parks, forest area, and burning...
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Thailand Forest Cover 2020
This is the forest cover dataset Thailand from the Royal Forest Department, the Ministry of Natural Resources and Environment (MoNRE).
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Thailand Permanent Forest
This dataset indicated Permanent Forest of Thailand
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Hansen Forest Cover Loss 2000-2019: Thailand, Vietnam, Laos, Cambodia, Myanmar
This update of gross forest cover loss includes new 2019 loss-year and multispectral imagery layers. Relative to the version 1.0 product our method has been modified in numerous...
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Regional Land Cover
The dataset contains a raster version of the GlobCover land cover map produced for the year 2009, clipped to the Greater Mekong Region. The land cover image is derived from the ...
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Hansen Forest Cover Gain 2000-2012: Thailand, Vietnam, Laos, Cambodia, Myanmar
Forest gain during the period 2000–2012, defined as the inverse of loss, or a non-forest to forest change entirely within the study period. Encoded as either 1 (gain) or 0 (no g...
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Hansen Tree Cover 2000: Thailand, Vietnam, Laos, Cambodia, Myanmar
A dataset visualising tree cover across the Greater Mekong Subregion at 30 x 30m resolution. For the purpose of this study, “tree cover” was defined as all vegetation taller tha...
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Land cover in Cambodia (2012- 2016)
The land cover is extracted from the Regional Land Cover Monitoring System (https://rlcms-servir.adpc.net/en/landcover/) which is developed by SERVIR-Mekong. The primitives are ...
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Land cover of Vietnam 2009
Dataset is polygon data with geospatial referecing. Land cover maps use as input observations from the 300m MERIS sensor on board the ENVISAT satellite mission. Maps cover perio...
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Land cover in Vietnam 2013
Land cover 2013 is the version 3 in the series of land cover analyse of GLCNMO (The Global Land Cover by National Mapping Organizations) products. The data covers whole globe. ...
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Forest cover in Cambodia (1973-2014)
This dataset shows forest cover in Cambodia in 1973, 1989, 2000, 2004, 2009 and 2014. Geographic data is encoded in the WGS 84, Zone 48 North coordinate reference system. Data w...
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Thailand Total Forest Loss (2000-2018)
This Global Forest Watch's dataset uses a >=30% canopy cover threshold as a default for all statistics.
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Forest Cover in the Lower Mekong Region 2000-2015
Forest Cover by country in the lower Mekong region (1990-2015)
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Tree cover data from Global Forest Watch
This file contains tabular data on tree cover, loss, and gain produced by the University of Maryland/Google. For more information on each data set, please visit data.globalfores...
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General Administration Department (GAD) 2016-2017 - Module 6 Forestry Business, Commercial Forestry Sector Section
This is the Commercial Forestry section from Module 6 Forestry Business in the General Administration Department 2016-2017 data.