Exploiting Sentinel-1 data time-series for crop classification and harvest date detection-Reference-Cited by-同舟云学术

Exploiting Sentinel-1 data time-series for crop classification and harvest date detection

Published:2021-08-30 Issue:19 Volume:42 Page:7313-7331
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Amherdt Sebastián¹,Di Leo Néstor Cristian²,Balbarani Sebastián³,Pereira Ayelen¹,Cornero Cecilia¹,Pacino María Cristina¹

Affiliation:

1. Área de Geodinámica y Geofísica, Facultad de Ciencias Exactas, Ingeniería y Agrimensura, Universidad Nacional de Rosario-CONICET, Rosario, Santa Fe, Argentina

2. Centro de Estudios Territoriales, Facultad de Ciencias Agrarias, Universidad Nacional de Rosario, Instituto de Investigaciones en Ciencias Agrarias de Rosario (IICAR), CONICET, Zavalla, Argentina

3. Departamento de Agrimensura, Facultad de Ingeniería, Universidad de Buenos Aires & Facultad de Ingeniería del Ejército, Universidad de la Defensa Nacional, Ciudad Autónoma de Buenos Aires, Argentina

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1957176

Reference53 articles.

1. Single and double crop systems in the Argentine Pampas: Environmental determinants of annual grain yield

2. A new method for crop classification combining time series of radar images and crop phenology information

3. Remote Sensing and Cropping Practices: A Review

4. Maize Leaf Area Index Retrieval from Synthetic Quad Pol SAR Time Series Using the Water Cloud Model

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