Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping-Reference-Cited by-同舟云学术

Synthetic Aperture Radar (SAR) image processing for operational space-based agriculture mapping

Published:2020-06-30 Issue:18 Volume:41 Page:7112-7144
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Dingle Robertson Laura¹^ORCID,Davidson Andrew¹²^ORCID,McNairn Heather¹²^ORCID,Hosseini Mehdi²,Mitchell Scott²,De Abelleyra Diego³,Verón Santiago³⁴,Cosh Michael H.⁵

Affiliation:

1. Science and Technology Branch, Agriculture and Agri-Food Canada (AAFC) , Ottawa, Canada

2. Geomatics and Landscape Ecology Lab, Department of Geography and Environmental Studies, Carleton University , Colonel By Dr., Ottawa, Canada

3. Instituto De Clima Y Agua, Instituto Nacional De Tecnología Agropecuaria (INTA) , Hurlingham, Argentina

4. Facultad De Agronomía, Universidad De Buenos Aires and CONICET , Buenos Aires, Argentina

5. BARC-West, USDA-ARS Hydrology and Remote Sensing Laboratory , Beltsville, MD, USA

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2020.1754494

Reference77 articles.

1. LAND COVER MAPPING USING SENTINEL-1 SAR DATA

2. Towards fine resolution global maps of crop yields: Testing multiple methods and satellites in three countries

3. Mapping CORINE Land Cover from Sentinel-1A SAR and SRTM Digital Elevation Model Data using Random Forests

4. Synergy of multitemporal ERS-1 SAR and Landsat TM data for classification of agricultural crops

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

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