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Predicting Spatial and Decadal LULC Changes in the Singrauli District of Madhya Pradesh Through Artificial Neural Network Models Using Geospatial Technology

Crossref DOI link: https://doi.org/10.1007/s12524-022-01641-5

Published Online: 2022-12-31

Published Print: 2023-03

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

Authors

Kumari, Maya https://orcid.org/0000-0001-7479-2803
Sarma, Kiranmay

Sharma, Richa
License Information

Text and Data Mining valid from 2022-12-31

Version of Record valid from 2022-12-31
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Article History

Received: 27 April 2021

Accepted: 1 December 2022

First Online: 31 December 2022

Declarations

:

: The authors declare that they have no conflict of interest.

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