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Accuracy and consistency of the machine learning models for predicting carbon stock in different carbon pools using satellite-based predictor variables

Crossref DOI link: https://doi.org/10.1007/s12145-025-01744-w

Published Online: 2025-02-04

Published Print: 2025-06

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bera, Dipankar https://orcid.org/0000-0003-3665-2812
Chatterjee, Nilanjana Das

Dhiman, Vivek

Ghosh, Subrata

Dinda, Santanu
Funding

Funding for this research was provided by:

Council of Scientific and Industrial Research (CSIR), Government of India (09/599/ (0083)/2019-EMR-I)
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Text and Data Mining valid from 2025-02-04

Version of Record valid from 2025-02-04
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Article History

Received: 25 September 2024

Accepted: 24 January 2025

First Online: 4 February 2025

Declarations

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: All authors have read, understood, and have complied as applicable with the statement on “Ethical responsibilities of Authors” as found in the instructions for Authors.

: The authors declare no competing interests.

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