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

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 using data...

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Detalles Bibliográficos
Autores principales: Kraatz, S., Rose, S., Cosh, M.H., Torbick, N., Huang, X., Siqueira, P.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900998/
https://www.ncbi.nlm.nih.gov/pubmed/33681415
http://dx.doi.org/10.1029/2020EA001363

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7900998/
https://www.ncbi.nlm.nih.gov/pubmed/33681415
http://dx.doi.org/10.1029/2020EA001363

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