Remote Sensing Data Collection
Remote Sensing Data Collection is a method of Sensor Data Acquisition that involves the systematic gathering of geospatial information about an object or phenomenon from a distance, typically using satellite or aerial sensors, without direct physical contact.
264
Publications
11.2K
Citations
1.2K
Authors
547
Institutions
Publications per year
2017–2026
121
Parents
264
B. Lobitz, Louisa R. Beck, Anwar Huq et al. · Proceedings of the National Academy of Sciences · 2000 · 427 citations · Full text
Deep-learning-based information mining from ocean remote-sensing imagery
Xiaofeng Li, Bin Liu, Gang Zheng et al. · National Science Review · 2020 · 395 citations · Full text
The 50-year Landsat collection 2 archive
Christopher J. Crawford, David P. Roy, Saeed Arab et al. · Science of Remote Sensing · 2023 · 244 citations · Full text
1–5 of 264
1.2K
2
h-index
2
h-index
2
h-index
2
h-index
2
h-index
1–5 of 1.2K
547

Chinese Academy of Sciences
Beijing, China
14 h-index
57 publications
4.7K citations

Centre National de la Recherche Scientifique
Paris, France
8 h-index
18 publications
664 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
7 h-index
16 publications
461 citations

Beijing Normal University
Beijing, China
7 h-index
28 publications
793 citations
University of Chinese Academy of Sciences
Beijing, China
6 h-index
14 publications
289 citations
Jet Propulsion Laboratory
Pasadena, United States
4 h-index
4 publications
315 citations

UNSW Sydney
Sydney, Australia
4 h-index
6 publications
507 citations
University of Maryland, College Park
College Park, United States
4 h-index
12 publications
3.6K citations
1–8 of 547
23 publications · 785 citations
17
h-index
18 publications · 885 citations
13
h-index
7 publications · 193 citations
8
h-index
7 publications · 318 citations
7
h-index
6 publications · 130 citations
6
h-index
1–5