- Article
(1541 KB) - Metadata XML
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Download
Articles | Volume XLVIII-4/W6-2022
https://doi.org/10.5194/isprs-archives-XLVIII-4-W6-2022-465-2023
© Author(s) 2023. This work is distributed under the Creative Commons Attribution 4.0 License.
20 Feb 2023
| 20 Feb 2023
USING MACHINE LEARNING CLASSIFIERS AND REGRESSION MODELS FOR ESTIMATING THE STAND AGES OF FALCATA PLANTATIONS FROM SENTINEL DATA
Viewed
Total article views: 954 (including HTML, PDF, and XML)
Views and downloads (calculated since 20 Feb 2023)
Cumulative views and downloads
(calculated since 20 Feb 2023)
Viewed (geographical distribution)
Total article views: 915 (including HTML, PDF, and XML)
Thereof 915 with geography defined
and 0 with unknown origin.
| Country | # | % |
|---|
Cited
Latest update: 15 Aug 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