- Article
(1163 KB) - Metadata XML
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume X-1/W1-2023
https://doi.org/10.5194/isprs-annals-X-1-W1-2023-919-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
05 Dec 2023
| 05 Dec 2023
COMPARISON AND EVALUATION OF MACHINE-LEARNING-BASED SPATIAL DOWNSCALING APPROACHES ON SATELLITE-DERIVED PRECIPITATION DATA
Viewed
Total article views: 1,003 (including HTML, PDF, and XML)
Views and downloads (calculated since 05 Dec 2023)
Cumulative views and downloads
(calculated since 05 Dec 2023)
Viewed (geographical distribution)
Total article views: 975 (including HTML, PDF, and XML)
Thereof 975 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 03 Sep 2026
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org