Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data

Mapping Crop Types of Germany by Combining Temporal Statistical Metrics of Sentinel-1 and Sentinel-2 Time Series with LPIS Data

Nationwide and consistent information on agricultural land use forms an important basis for sustainable land management maintaining food security, (agro)biodiversity, and soil fertility, especially as German agriculture has shown high vulnerability to climate change. Sentinel-1 and Sentinel-2 satell...

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Bibliographic Details
Main Authors: Sarah Asam, Ursula Gessner, Roger Almengor González, Martina Wenzl, Jennifer Kriese, Claudia Kuenzer
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Remote Sensing
Subjects:
agriculture
random forest classification
multispectral data
radar data
spectral statistics
temporal statistics
Online Access:https://www.mdpi.com/2072-4292/14/13/2981

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