- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Kleve, Hochschule Rhein-Waal, Bachelorarbeit, 2017
- Klassifikation
-
Pflanzen (Botanik)
- Ereignis
-
Veröffentlichung
- (wo)
-
Kleve
- (wer)
-
Hochschule Rhein-Waal
- (wann)
-
2018
- Urheber
-
Prüm, Moritz
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:hbz:1383-opus4-2247
- Rechteinformation
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:55 MEZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Prüm, Moritz
- Becker, Rolf
- Zimmer, Frank
- Hochschule Rhein-Waal
Entstanden
- 2018
Ähnliche Objekte (12)
Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
Automatic UAV-borne Monitoring of Inland Waters with Hyperspectral Sensors
Monitoring of the biophysical status of vegetation : using multi-angular, hyperspectral remote sensing for the optimization of a physically based SVAT model
Monitoring of the Biophysical Status of Vegetation : Using Multi-angular, Hyperspectral Remote Sensing for the Optimization of a Physically-based SVAT Mode
Hyperspectral image processing
Die Scanner
Die Scanner
Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California
EnGeoMAP 2.0 : automated hyperspectral mineral identification for the German EnMAP space mission
Automated Condition Monitoring for Industrial Robot Gears
Astros Scanner Auswertung
Das Scanner-Handbuch
Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
Automatic UAV-borne Monitoring of Inland Waters with Hyperspectral Sensors
Monitoring of the biophysical status of vegetation : using multi-angular, hyperspectral remote sensing for the optimization of a physically based SVAT model
Monitoring of the Biophysical Status of Vegetation : Using Multi-angular, Hyperspectral Remote Sensing for the Optimization of a Physically-based SVAT Mode
Hyperspectral image processing
Die Scanner
Die Scanner
Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California
EnGeoMAP 2.0 : automated hyperspectral mineral identification for the German EnMAP space mission
Automated Condition Monitoring for Industrial Robot Gears
Astros Scanner Auswertung
Das Scanner-Handbuch
Crop Growth Monitoring by Hyperspectral and Microwave Remote Sensing
Automatic UAV-borne Monitoring of Inland Waters with Hyperspectral Sensors
Monitoring of the biophysical status of vegetation : using multi-angular, hyperspectral remote sensing for the optimization of a physically based SVAT model
Monitoring of the Biophysical Status of Vegetation : Using Multi-angular, Hyperspectral Remote Sensing for the Optimization of a Physically-based SVAT Mode
Hyperspectral image processing
Die Scanner
Die Scanner
Brightness gradient-corrected hyperspectral image mosaics for fractional vegetation cover mapping in northern California
EnGeoMAP 2.0 : automated hyperspectral mineral identification for the German EnMAP space mission
Automated Condition Monitoring for Industrial Robot Gears
Astros Scanner Auswertung