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Cited by 28Soil Moisture and Remote SensingRemote Sensing in AgricultureAdvanced Image Fusion Techniques

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Simple yet efficient downscaling of land surface temperatures by suitably integrating kernel- and fusion-based methods

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Dong, Pan, Zhan, Wenfeng, Wang, Chenguang, Jiang, Sida, Du, Huilin, Liu, Zihan, Chen, Yangyi, Li, Long, Wang, Shasha, Ji, Yingying·2023·ISPRS Journal of Photogrammetry and Remote Sensing
DOI 10.1016/j.isprsjprs.2023.10.011
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Research works printed but not linked: 65

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Metadata

Authors
Dong, P., Zhan, W., Wang, C., Jiang, S., Du, H., Liu, Z., Chen, Y., Li, L., Wang, S., & Ji, Y.
Affiliations
  • Nanjing University (CN)
  • Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application (CN)
  • Anhui University (CN)
Corresponding author
Zhan, Wenfeng
ORCID
Venue
ISPRS Journal of Photogrammetry and Remote Sensing
Publisher
Elsevier BV
Published
2023-11
Volume
205
Pages
317-333
ISSN
0924-2716 (ISSN-L)
DOI
10.1016/j.isprsjprs.2023.10.011
OpenAlex
W4387801121
Cited by
28
References
1
Citations by year
2026: 11 · 2025: 10 · 2024: 7
FWCI
2.21
Type
journal article
Language
en
Open access
Licence
Locations
ISPRS Journal of Photogrammetry and Remote Sensing (acceptedVersion)
Funders
  • U.S. Geological Survey
  • National Natural Science Foundation of China (42171306)
  • National Aeronautics and Space Administration
Topics
  • Physical Sciences › Environmental Science › Environmental Engineering › Soil Moisture and Remote Sensing
  • Physical Sciences › Environmental Science › Ecology › Remote Sensing in Agriculture
  • Physical Sciences › Engineering › Media Technology › Advanced Image Fusion Techniques
Keywords
MODIS LST, Landsat imagery, regression models

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