Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/112162
Título: Multiplatform earth observation systems for the monitoring and conservation of vulnerable natural ecosystems
Autores/as: Eugenio González, Francisco 
Alfaro, M.
Martín Abasolo, Javier 
Marcello, J. 
Clasificación UNESCO: Investigación
Palabras clave: Airborne
Dron
Ecosystem
Hyperspectral
Multiplatform, et al.
Fecha de publicación: 2019
Editor/a: Institute of Electrical and Electronics Engineers (IEEE) 
Publicación seriada: IEEE International Geoscience and Remote Sensing Symposium proceedings 
Conferencia: 39th IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019) 
Resumen: Coastal and inner water lagoon ecosystems are essential due to their high biodiversity and primary production. However, they are extremely complex. Remote sensing can be very useful due to the spatial and spectral improvement of satellites and the availability of airborne or drone hyperspectral sensors. Unfortunately, the mapping of coastal and inner lakes areas is challenging due to the low SNR received at the sensor, as a consequence of the minimum reflectivity of the water surface and the atmospheric disturbances. In this context, the goal of this work is to obtain a robust image processing methodology to generate accurate water quality maps in shallow waters using multiplatform imagery: WorldView-2 (High Resolution Satellite Multispectral Sensor), AHS (Airborne Hyperspectral Scanner) and Pika-L (Drone Hyperspectral Scanner) images. Maspalomas (Gran Canaria, Spain) inner water lagoon ecosystems was studied due to its complexity and the presence of important chlorophyll concentration.
URI: http://hdl.handle.net/10553/112162
ISBN: 978-1-5386-9154-0
ISSN: 2153-7003
DOI: 10.1109/IGARSS.2019.8900425
Fuente: International Geoscience and Remote Sensing Symposium (IGARSS) [EISSN 2153-7003 ], v. 2019-July, p. 8230-8233, (Enero 2019)
Colección:Actas de congresos
Vista completa

Citas SCOPUSTM   

2
actualizado el 24-nov-2024

Citas de WEB OF SCIENCETM
Citations

4
actualizado el 24-nov-2024

Visitas

115
actualizado el 31-dic-2023

Google ScholarTM

Verifica

Altmetric


Comparte



Exporta metadatos



Los elementos en ULPGC accedaCRIS están protegidos por derechos de autor con todos los derechos reservados, a menos que se indique lo contrario.