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2019 Land Cover Map of Southeast Asia at 30 m Spatial Resolution with Changes Since 2010

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Abstract

Last few decades there are lots of changes in Southeast Asia land cover due to development, industrialization, increasing population, socio-economic activities, and food demands. This research work analysis the maximum likelihood supervised classification approach for Southeast Asia land cover mapping and changes at 30m resolution from 2010 to 2019 using Landsat 8 OLI (Operational Land Imager) satellite data. The resulted maps cover eight land cover classes as barren land, cultivated, developed (built-up area), forest, grassland, shrubland, water, and wetland in Myanmar, Laos, Vietnam, Thailand, Cambodia, and North Malaysia Southeast Asia countries with very high accurate informative information. The resulted maps and information in this paper are very useful to researchers, regional to a national and international level decision and policy makers for sustainable development, fortification of natural resources at the same time protection of fragile eco-environment in Southeast Asia so that they will utilize in future.

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CONFLICT OF INTEREST

The authors declare that they have no conflicts of interest.

Funding

This work was partially supported by the Ministry of education and science of the Russian Federation in the framework of the implementation of the Program of increasing the competitiveness of Samara University among the world’s leading scientific and educational centers for 2013–2020 years; by the Russian Foundation for Basic Research grants (# 15-29-03823, # 16-41-630761, # 17-01-00972, # 18-37-00418), in the framework of the state task #0026-2018-0102 “Optoinformation technologies for obtaining and processing hyperspectral data”.

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Correspondence to Mukesh Singh Boori, Komal Choudhary or Alexander Kupriyanov.

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Mukesh Singh Boori, Choudhary, K. & Kupriyanov, A. 2019 Land Cover Map of Southeast Asia at 30 m Spatial Resolution with Changes Since 2010. Opt. Mem. Neural Networks 29, 257–262 (2020). https://doi.org/10.3103/S1060992X20030091

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  • DOI: https://doi.org/10.3103/S1060992X20030091

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