Radar-based Crop Classification
Radar-Based Crop Classification is a methodological framework within remote sensing that uses synthetic aperture radar (SAR) data to distinguish and categorize crop types based on their structural and dielectric properties, differentiated from optical approaches by its operational capability in all weather and light conditions.
240
Publications
12.1K
Citations
779
Authors
307
Institutions
Publications per year
2017–2026
129
Parents
240
1–5 of 240
779
16
h-index
10
h-index
Territoires, Environnement, Télédétection et Information Spatiale
7 publications · 533 citations
8
h-index
7
h-index
7
h-index
1–5 of 779
307
Agriculture and Agri-Food Canada
Ottawa, Canada
16 h-index
47 publications
2.6K citations
Centre d'Études Spatiales de la Biosphère
Toulouse, France
13 h-index
36 publications
2.5K citations

Chinese Academy of Sciences
Beijing, China
13 h-index
46 publications
2.7K citations
Indian Space Research Organisation
Bengaluru, India
11 h-index
26 publications
1.1K citations

Centre National de la Recherche Scientifique
Paris, France
10 h-index
27 publications
2.1K citations
University of Chinese Academy of Sciences
Beijing, China
9 h-index
21 publications
1.2K citations

Université de Montpellier
Montpellier, France
9 h-index
18 publications
1.9K citations
State Key Laboratory of Remote Sensing Science
Beijing, China
8 h-index
16 publications
1K citations
1–8 of 307
43 publications · 3K citations
31
h-index
28 publications · 1.2K citations
21
h-index
20 publications · 2.3K citations
19
h-index
16 publications · 542 citations
14
h-index
9 publications · 679 citations
10
h-index
1–5