- Article
(1375 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLVIII-5/W3-2025
https://doi.org/10.5194/isprs-archives-XLVIII-5-W3-2025-1-2025
© Author(s) 2025. This work is distributed under the Creative Commons Attribution 4.0 License.
12 Nov 2025
| 12 Nov 2025
Application of Machine Learning Methods for Hydrothermal Alteration Zoning using Remote Sensing Data: a Case Study of the Koldar Massif
Viewed
Total article views: 227 (including HTML, PDF, and XML)
Views and downloads (calculated since 12 Nov 2025)
Cumulative views and downloads
(calculated since 12 Nov 2025)
Viewed (geographical distribution)
Total article views: 234 (including HTML, PDF, and XML)
Thereof 234 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Latest update: 15 Jan 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