Advances in Remote Sensing for Global Forest Monitoring
Object category:
Elektronische Ressource
Person/Institution:
Publisher:
MDPI - Multidisciplinary Digital Publishing Institute
Place of publication:
Basel, Switzerland
Date:
2021
Extent, illustration, format:
1 Online-Ressource (352 p.)
Language:
Englisch
Providing institution:
Additional information
Abstract:
The topics of the book cover forest parameter estimation, methods to assess land cover and change, forest disturbances and degradation, and forest soil drought estimations. Airborne laser scanner data, aerial images, as well as data from passive and active sensors of different spatial, spectral and temporal resolutions have been utilized. Parametric and non-parametric methods including machine and deep learning methods have been employed. Uncertainty estimation is a key topic in each study. In total, 15 articles are included, of which one is a review article dealing with methods employed in remote sensing aided greenhouse gas inventories, and one is the Editorial summary presenting a short review of each article
Object text:
English
Access and usage options
Contact
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Administrative details
Created:
2023-04-13
Last changed:
2022-03-10
Added to portal:
2023-04-13
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