Inferring Grassland Drought Stress with Unsupervised Learning from Airborne Hyperspectral VNIR Imagery
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
In: Remote sensing, Band 13, Ausgabe 10, 2021
- Event
-
Veröffentlichung
- (where)
-
Berlin
- (who)
-
Humboldt-Universität zu Berlin
- (when)
-
2021
- Creator
-
Hermanns, Floris
Pohl, Felix
Rebmann, Corinna
Schulz, Gundula
Werban, Ulrike
Lausch, Angela
- DOI
-
10.3390/rs13101885
- URN
-
urn:nbn:de:kobv:11-110-18452/23837-0
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:47 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.
Associated
- Hermanns, Floris
- Pohl, Felix
- Rebmann, Corinna
- Schulz, Gundula
- Werban, Ulrike
- Lausch, Angela
- Humboldt-Universität zu Berlin
Time of origin
- 2021
Other Objects (12)
Mapping canopy chlorophyll content in a temperate forest using airborne hyperspectral data
Quality assessment for hyperspectral airborne systems : from data up to land-products
Quantitative estimation of clay minerals in airborne hyperspectral data using a calibration field
Use of airborne hyperspectral data and height information to support urban micro climate characterisation
Quantitative mapping of soil property based on laboratory and airborne hyperspectral data using machine learning
Quantitative Mapping of Soil Property Based on Laboratory and Airborne Hyperspectral Data Using Machine Learning
Inferring from language
Inferring infant intentionality
Physically based fusion of airborne hyperspectral and lidar data : towards a holistic structural and spectral object characterization
Hyperspectral image processing
"AIRBORNE"
"AIRBORNE"
Mapping canopy chlorophyll content in a temperate forest using airborne hyperspectral data
Quality assessment for hyperspectral airborne systems : from data up to land-products
Quantitative estimation of clay minerals in airborne hyperspectral data using a calibration field
Use of airborne hyperspectral data and height information to support urban micro climate characterisation
Quantitative mapping of soil property based on laboratory and airborne hyperspectral data using machine learning
Quantitative Mapping of Soil Property Based on Laboratory and Airborne Hyperspectral Data Using Machine Learning
Inferring from language
Inferring infant intentionality
Physically based fusion of airborne hyperspectral and lidar data : towards a holistic structural and spectral object characterization
Hyperspectral image processing
"AIRBORNE"
"AIRBORNE"
Mapping canopy chlorophyll content in a temperate forest using airborne hyperspectral data
Quality assessment for hyperspectral airborne systems : from data up to land-products
Quantitative estimation of clay minerals in airborne hyperspectral data using a calibration field
Use of airborne hyperspectral data and height information to support urban micro climate characterisation
Quantitative mapping of soil property based on laboratory and airborne hyperspectral data using machine learning
Quantitative Mapping of Soil Property Based on Laboratory and Airborne Hyperspectral Data Using Machine Learning
Inferring from language
Inferring infant intentionality
Physically based fusion of airborne hyperspectral and lidar data : towards a holistic structural and spectral object characterization
Hyperspectral image processing
"AIRBORNE"