Land Cover Changes Detection Based on Object-Based Image Classification Using the Google Earth Engine

Author:

Puligadda Pavan,Manne Suneetha,Raja Durga Ramdas

Publisher

Springer Nature Singapore

Reference25 articles.

1. Singh AI, Singh K (2021) Remote sensing and GIS based land use land cover analysis in Chandel district, Manipur, India. IOP Conf Ser Earth Environ Sci 889:012046

2. Casu F, Manunta M, Agram PS, Crippen RE (2017) Big remotely sensed data: tools, applications and experiences. Remote Sens Environ 202:1–2

3. Sathunuri K, Kumar R, Gogoi K (2022) Land use/land cover dynamics during 2001 and 2021 using Google Earth Engine and GIS in ramagundam coal mining area, a part of Pranhita Godavari Valley, Southern India. J Sci Res 66:63–68

4. Harpinder S, Aarti K, Litoria PK, Brijendra (2021) Land cover classification of Punjab state using Sentinel-2 data and machine learning within the Google Earth engine cloud platform. J Geomatics 15(2):166–173

5. Dubertret F, Le Tourneau F-M, Villarreal ML, Norman LM (2022) Monitoring “annual land use/land cover change in the Tucson Metropolitan area with Google Earth Engine (1986–2020).” Remote Sens 14:2127

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