Soil Sensor Data Fusion
Soil Sensor Data Fusion is a data integration methodology that combines heterogeneous measurements from multiple soil sensors to produce a more accurate, consistent, and comprehensive representation of soil conditions than could be achieved by individual sensors alone.
56
Publications
3.1K
Citations
231
Authors
127
Institutions
Publications per year
2017–2026
44
56
Wolfgang Wagner, Wouter Dorigo, R. de Jeu et al. · ISPRS annals of the photogrammetry, remote sensing and spatial information sciences · 2012 · 320 citations · Full text
Ahmed Samir Abowarda, Liangliang Bai, Caijin Zhang et al. · Remote Sensing of Environment · 2021 · 286 citations
Natural Sciences, Earth Sciences, Water Resources Management +17
Ebrahim Babaeian, Sidike Paheding, Nahian Siddique et al. · Remote Sensing of Environment · 2021 · 178 citations
Thu Thủy Nguyễn, Tien Dat Pham, Chi Trung Nguyen et al. · The Science of The Total Environment · 2021 · 138 citations
1–5 of 56
231
8
h-index
6
h-index
5
h-index
3
h-index
3
h-index
1–5 of 231
127

Ghent University
Ghent, Belgium
8 h-index
20 publications
616 citations

Zhejiang University
Hangzhou, China
6 h-index
21 publications
1.6K citations

Chinese Academy of Sciences
Beijing, China
6 h-index
13 publications
896 citations
Wuhan University
Wuhan, China
5 h-index
14 publications
610 citations

Swedish University of Agricultural Sciences
Uppsala, Sweden
4 h-index
9 publications
428 citations
Institute of Soil Science
Nanjing, China
4 h-index
9 publications
609 citations
State Key Laboratory of Remote Sensing Science
Beijing, China
4 h-index
14 publications
1.4K citations

Agricultural Research Service
Washington, United States
3 h-index
5 publications
226 citations
1–8 of 127
11 publications · 687 citations
11
h-index
3 publications · 507 citations
3
h-index
3 publications · 110 citations
3
h-index
3 publications · 112 citations
3
h-index
SSSAJ · 2 publications · 42 citations
2
h-index
1–5