Hochschulschrift
Quantitative Mapping of Soil Property Based on Laboratory and Airborne Hyperspectral Data Using Machine Learning
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Dresden, Technische Universität Dresden, Dissertation, 2018
- Keyword
-
Soils
Property
- Event
-
Veröffentlichung
- (where)
-
Dresden
- (who)
-
Technische Universität Dresden
- (when)
-
2019
- Creator
- Contributor
-
Buchroithner, Manfred
Csaplovics, Elmar
Häusler, Hermann
- URN
-
urn:nbn:de:bsz:14-qucosa2-331941
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Liu, Lanfa
- Buchroithner, Manfred
- Csaplovics, Elmar
- Häusler, Hermann
- Technische Universität Dresden
Time of origin
- 2019
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Mapping leaf area index in a mixed temperate forest using Fenix airborne hyperspectral data and Gaussian processes regression
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Airborne navigation and gravimetry ensemble & laboratory : ANGEL ; introduction and first airborne tests
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Component Decomposition-Based Hyperspectral Resolution Enhancement for Mineral Mapping
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