Crossmark

Prediction and mapping of land degradation in the Batanghari watershed, Sumatra, Indonesia: utilizing multi-source geospatial data and machine learning modeling techniques

Crossref DOI link: https://doi.org/10.1007/s40808-023-01761-y

Published Online: 2023-03-19

Published Print: 2023-11

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

Authors

Yulianto, Fajar https://orcid.org/0000-0002-3084-6694
Raharjo, Puguh Dwi https://orcid.org/0000-0001-9043-4483
Pramono, Irfan Budi https://orcid.org/0000-0002-0049-5600
Setiawan, Muhammad Anggri

Chulafak, Galdita Aruba https://orcid.org/0000-0002-2875-5152
Nugroho, Gatot

Sakti, Anjar Dimara https://orcid.org/0000-0002-7379-1777
Nugroho, Sapto

Budhiman, Syarif https://orcid.org/0000-0002-0744-3838
Funding

Funding for this research was provided by:

National Research and Innovation Agency (BRIN) Indonesia (This study was funded by Program House of Management of Water)

National Research and Innovation Agency (BRIN) Indonesia (Lake Resources No. B-22/III/PR.03/1/2022)

National Research and Innovation Agency (BRIN) Indonesia (Research Organization for Earth Science)

National Research and Innovation Agency (BRIN) Indonesia (Maritime)

National Research and Innovation Agency (BRIN) Indonesia (National Research)

National Research and Innovation Agency (BRIN) Indonesia (Innovation Agency (BRIN) Indonesia.)
License Information

Text and Data Mining valid from 2023-03-19

Version of Record valid from 2023-03-19
More Information

Article History

Received: 17 October 2022

Accepted: 6 March 2023

First Online: 19 March 2023

Conflicts of Interest

: The authors declare no conflict of interest.

Document is current

Any future updates will be listed below