Investigating abiotic sources of spectral variability from multitemporal hyperspectral airborne acquisitions over the French Guyana canopy

C Prieur, A Laybros, G Frati, D Schläpfer… - IEEE Journal of …, 2024 - ieeexplore.ieee.org
Classifiers trained on airborne hyperspectral imagery are proficient in identifying tree
species in hyperdiverse tropical rainforests. However, spectral fluctuations, influenced by …

Near-infrared radiance of vegetation is more sensitive than vegetation indices for monitoring NPP of winter wheat under water stress

W Zhao, L Liu, QJ ShenLin, J Yang… - IEEE Journal of Selected …, 2024 - ieeexplore.ieee.org
The quantification of NPP plays a crucial role in ensuring food security. Previous studies
have established a noteworthy correlation between the near-infrared radiance of vegetation …

Remote sensing data normalization

R Gens, JC Rosselló - Remote Sensing Handbook, Volume I, 2024 - taylorfrancis.com
The increasing access to remote sensing data from different platforms, acquired at different
spatial, spectral, and temporal resolutions, is continuously widening the scope of …

8 Remote Sensing Data

R Gens, JC Rosselló - Remote Sensing Handbook, Volume I …, 2024 - books.google.com
The increasing access to remote sensing data from different platforms, acquired at different
spatial, spectral, and temporal resolutions, is continuously widening the scope of …

Data Processing Considerations for Biodiversity Products Retrieval from Imaging Spectroscopy

M Vögtli - 2024 - zora.uzh.ch
Worldwide, biodiversity is threatened by drivers like habitat loss, over-exploitation, and
pollution. As a consequence, large numbers of plant and animal species are endangered or …

[引用][C] 274 Remote Sensing Data Normalization

R Gens, JC Rosselló - Remote Sensing Handbook, Volume I: Sensors …, 2016 - CRC Press