- Article
(1096 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLIII-B4-2022
https://doi.org/10.5194/isprs-archives-XLIII-B4-2022-17-2022
© Author(s) 2022. This work is distributed under the Creative Commons Attribution 4.0 License.
01 Jun 2022
| 01 Jun 2022
AN ARTIFICIAL INTELLIGENCE-BASED SOLUTION FOR THE CLASSIFICATION OF OAK DECLINE POTENTIAL
Viewed
Total article views: 947 (including HTML, PDF, and XML)
Views and downloads (calculated since 01 Jun 2022)
Cumulative views and downloads
(calculated since 01 Jun 2022)
Viewed (geographical distribution)
Total article views: 929 (including HTML, PDF, and XML)
Thereof 929 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 13 Jun 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