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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Bibliografische gegevens

Hoofdauteurs:	Christina Eisfelder, Bruno Boemke, Ursula Gessner, Patrick Sogno, Genanaw Alemu, Rahel Hailu, Christian Mesmer, Juliane Huth
Formaat:	Artigo
Taal:	Inglês
Gepubliceerd in:	MDPI AG 2024-02-01
Reeks:	Remote Sensing
Onderwerpen:	cropland crop types Ethiopia Google Earth Engine LULC multispectral data
Online toegang:	https://www.mdpi.com/2072-4292/16/5/866
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