Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/128906
Title: Assessment of Forest Degradation Using Multitemporal and Multisensor Very High Resolution Satellite Imagery
Authors: Marcello, J. 
Eugenio, F. 
Rodriguez-Esparragon, D. 
Marques, F.
UNESCO Clasification: 33 Ciencias tecnológicas
Keywords: Defoliation
Laurel Forest
Planet
Vegetation Indices
Worldview
Issue Date: 2023
Journal: International Geoscience And Remote Sensing Symposium (IGARSS)
Conference: 2023 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2023 
Abstract: The reliable detection of vegetation disease and plant stress are challenges in forest ecosystems. To address this problem, remote sensing existing methods of detection mostly rely on vegetation indices, however, in dense forest, the spectral saturation must be considered to select the most appropriate index. In this work, after a revision of the state of the art, a total of 20 vegetation indices were preliminary selected to perform a thorough statistical analysis with the aim to identify the disease and devitalization phenomena in a complex laurel forest. Multisensor very high resolution imagery, from the same month, with a time difference of a decade have been used. A robust methodology has been implemented to generate accurate vigor maps and to identify the forest areas that have experienced a degradation in plant health after 10 years.
URI: http://hdl.handle.net/10553/128906
ISBN: 9798350320107
ISSN: 2153-6996
DOI: 10.1109/IGARSS52108.2023.10282547
Source: Igarss 2023 - 2023 IEEE International Geoscience And Remote Sensing Symposium [ISSN 2153-6996], p. 3233-3236, (2023)
Appears in Collections:Actas de congresos
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