Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region

Rapid and Automated Approach for Early Crop Mapping Using Sentinel-1 and Sentinel-2 on Google Earth Engine; A Case of a Highly Heterogeneous and Fragmented Agricultural Region

Accurate and rapid crop type mapping is critical for agricultural sustainability. The growing trend of cloud-based geospatial platforms provides rapid processing tools and cloud storage for remote sensing data. In particular, a variety of remote sensing applications have made use of publicly accessi...

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Bibliographic Details
Main Authors: Hajar Saad El Imanni, Abderrazak El Harti, Mohammed Hssaisoune, Andrés Velastegui-Montoya, Amine Elbouzidi, Mohamed Addi, Lahcen El Iysaouy, Jaouad El Hachimi
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Journal of Imaging
Subjects:
crop type mapping
Sentinel-1
Sentinel-2
machine learning
Google Earth Engine
time-series
Online Access:https://www.mdpi.com/2313-433X/8/12/316

Internet

https://www.mdpi.com/2313-433X/8/12/316

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