Skip to content

5 datasets found

Topics: Forest cover reporting None: dataset

Filter Results

  • Tree Cover Loss (FORMA) Alerts - Humid Tropics

    en Lao People's Democratic Republic February 8, 2018 Source: Hammer, Dan, Robin Kraft, and David Wheeler. 2013. “FORMA Alerts.”... Deforestation drivers, Forest cover reporting, Forest policy and administration
    This data set is from Global Forest Watch and indicating satellite data of tree loss cover alerts (humid tropics) for the Lao PDR. These are known as Forest Monitoring for Actio...

  • Forest Cover Change in Myanmar 2002-2014

    en Myanmar May 11, 2021 Source: Deforestation drivers, Forest cover reporting
    This dataset indicates the forest cover change in Myanmar between 2002 to 2014. Land cover classes: Intact Forest (>80% canopy cover); Degraded Forest (10%-80% canopy cover); ...

  • Tree cover data from Global Forest Watch

    en Myanmar December 29, 2019 Source: http://www.globalforestwatch.org/country/MMR Environment and natural resources, Environmental and biodiversity protection, Forest cover, Forest cover reporting, Tree plantation
    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...

  • Land Use. Forest Area. Cambodia, Laos, Myanmar, Thailand & Vietnam (2000-2015)

    en Cambodia, Lao People's Democratic Republic, Myanmar, Thailand, Viet Nam June 30, 2018 Source: © FAO 2015 Land Use. Forest Area.... Forest cover, Forest cover reporting, Land classifications
    This dataset contains data from the FAOSTAT for the proportion of land use related to forests in Cambodia, Laos, Myanmar, Thailand & Vietnam. It covers the years from 2000 to 20...

  • Tree Cover Loss and Gain Area - Lao PDR

    en Lao People's Democratic Republic February 15, 2018 Source: Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A.... Dense forest, Forest cover reporting, Regenerated forest
    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...

You can also access this registry using the API (see API Docs).