Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification

Mapping Plantations in Myanmar by Fusing Landsat-8, Sentinel-2 and Sentinel-1 Data along with Systematic Error Quantification

Forests in Southeast Asia are experiencing some of the highest rates of deforestation and degradation in the world, with natural forest species being replaced by cropland and plantation monoculture. In this work, we have developed an innovative method to accurately map rubber and palm oil plantation...

Full description

Bibliographic Details
Main Authors: Ate Poortinga, Karis Tenneson, Aurélie Shapiro, Quyen Nquyen, Khun San Aung, Farrukh Chishtie, David Saah
Format: Article
Language:English
Published: MDPI AG 2019-04-01
Series:Remote Sensing
Subjects:
landsat
sentinel
SAR
plantations
myanmar
rubber
palm oil
land cover mapping
uncertainty
error quantification
Google Earth Engine
Online Access:https://www.mdpi.com/2072-4292/11/7/831

Similar Items

Similar Items