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

M. Imran; N. Din

doi:10.1007/s12517-021-07023-4

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

M. Imran
, N. Din

Research output: Contribution to a Journal (Peer & Non Peer) › Article › peer-review

32 Citations (Scopus)

Original language	English
Journal	Arabian Journal of Geosciences
DOIs	https://doi.org/10.1007/s12517-021-07023-4
Publication status	Published - 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 13 Climate Action

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10.1007/s12517-021-07023-4

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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",

author = "M. Imran and N. Din",

year = "2021",

doi = "10.1007/s12517-021-07023-4",

language = "English",

journal = "Arabian Journal of Geosciences",

issn = "1866-7511",

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AU - Imran, M.

AU - Din, N.

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

UN SDGs

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