Two Shifts for Crop Mapping: Leveraging Aggregate Crop Statistics to Improve Satellite-based Maps in New Regions

Crop type mapping at the field level is critical for a variety of applications in agricultural monitoring, and satellite imagery is becoming an increasingly abundant and useful raw input from which to create crop type maps. Still, in many regions crop type mapping with satellite data remains constra...

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Veröffentlicht in:	arXiv.org 2021-09
Hauptverfasser:	Kluger, Dan M, Wang, Sherrie, Lobell, David B
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Classifiers Computer Science - Computer Vision and Pattern Recognition Computer Science - Learning Discriminant analysis Mapping Methodology Satellite imagery Statistics - Applications Statistics - Machine Learning Training
Online-Zugang:	Volltext
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