Performance Evaluation of UAVSAR and Simulated NISAR Data for Crop/Noncrop Classification Over Stoneville, MS

Abstract Synthetic Aperture Radar (SAR) data are well‐suited for change detection over agricultural fields, owing to high spatiotemporal resolution and sensitivity to soil and vegetation. The goal of this work is to evaluate the science algorithm for the NASA ISRO SAR (NISAR) Cropland Area product u...

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Bibliographic Details
Main Authors: S. Kraatz, S. Rose, M.H. Cosh, N. Torbick, X. Huang, P. Siqueira
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-01-01
Series:Earth and Space Science
Subjects:
Online Access:https://doi.org/10.1029/2020EA001363