Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach-Reference-Cited by-同舟云学术

Land use/land cover and change detection mapping in Rahuri watershed area (MS), India using the google earth engine and machine learning approach

Published:2022-06-16 Issue:26 Volume:37 Page:13860-13880
ISSN:1010-6049
Container-title:Geocarto International
language:en
Short-container-title:Geocarto International

Author:

Pande Chaitanya B.¹^ORCID

Affiliation:

1. Department of Remote Sensing Center for Advanced Agriculture Science and Technology on Climate-Smart Agriculture and Water Management, MPKV, Rahuri, Maharashtra, India

Publisher

Informa UK Limited

Subject

Water Science and Technology,Geography, Planning and Development

Link

https://www.tandfonline.com/doi/pdf/10.1080/10106049.2022.2086622

Reference48 articles.

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3. Bagging predictors

4. Breiman L. 2001. Random forests. Vol. 45. Berkeley: Journal of Machine Learning. https://link.springer.com/content/pdf/10.1023%2FA%3A1010933404324.pdf.

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