Regional-Scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification

Regional-Scale Forest Mapping over Fragmented Landscapes Using Global Forest Products and Landsat Time Series Classification

Satellite imagery of 25−30 m spatial resolution has been recognized as an effective tool for monitoring the spatial and temporal dynamics of forest cover at different scales. However, the precise mapping of forest cover over fragmented landscapes is complicated and requires special conside...

Full description

Bibliographic Details
Main Authors: Viktor Myroniuk, Mykola Kutia, Arbi J. Sarkissian, Andrii Bilous, Shuguang Liu
Format: Article
Language:English
Published: MDPI AG 2020-01-01
Series:Remote Sensing
Subjects:
flatland ukraine
forest cover map
forest mask
fragmented landscapes
global forest change
google earth engine
landsat imagery
random forest algorithm
Online Access:https://www.mdpi.com/2072-4292/12/1/187

Internet

https://www.mdpi.com/2072-4292/12/1/187

Similar Items