Cropland and Crop Type Classification with Sentinel-1 and Sentinel-2 Time Series Using Google Earth Engine for Agricultural Monitoring in Ethiopia

Cropland monitoring is important for ensuring food security in the context of global climate change and population growth. Freely available satellite data allow for the monitoring of large areas, while cloud-processing platforms enable a wide user community to apply remote sensing techniques. Remote...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Christina Eisfelder, Bruno Boemke, Ursula Gessner, Patrick Sogno, Genanaw Alemu, Rahel Hailu, Christian Mesmer, Juliane Huth
Format:	Article
Language:	English
Published:	MDPI AG 2024-02-01
Subjects:	cropland crop types Ethiopia Google Earth Engine LULC multispectral data
Online Access:	https://www.mdpi.com/2072-4292/16/5/866