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Advances in Remote Sensing for Global Forest Monitoring

Objektkategorie:
Elektronische Ressource
Verlag:
MDPI - Multidisciplinary Digital Publishing Institute
Veröffentlichungsort:
Basel, Switzerland
Entstehungszeit:
2021
Umfang, Illustration, Format:
1 Online-Ressource (352 p.)
Sprache:
Englisch
Bereitstellende Institution:
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
Objekttext:
English
Universität Erfurt
Forschungsbibliothek Gotha
Schloss Friedenstein
Schlossplatz 1
99867 Gotha
+49 361 737-5540
bibliothek.gotha(at)uni-erfurt.de
Datensatz angelegt am:
2023-04-13
Zuletzt geändert am:
2022-03-10
In Portal übernommen am:
2023-04-13