Geospatially mapping carbon stock for mountainous forest classes using InVEST model and Sentinel-2 data: a case of Bagrote valley in the Karakoram range

Title
Geospatially mapping carbon stock for mountainous forest classes using InVEST model and Sentinel-2 data: a case of Bagrote valley in the Karakoram range
Authors
Keywords
-
Journal
Arabian Journal of Geosciences
Volume 14, Issue 9, Pages -
Publisher
Springer Science and Business Media LLC
Online
2021-04-21
DOI
10.1007/s12517-021-07023-4

Ask authors/readers for more resources

Reprint

Contact the author

Discover Peeref hubs

Discuss science. Find collaborators. Network.

Join a conversation

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started