Results 61 to 70 of about 372 (164)
Since 2021, two autonomous HYPERNETS (A new hyperspectral radiometer integrated in automated networks of water and land bidirectional reflectance measurements for satellite validation) stations are operated in contrasted French coastal waters: one in the
David Doxaran +3 more
doaj +1 more source
Comparison of cloud detection algorithms for Sentinel-2 imagery
Accurate, automated cloud and cloud shadow detection is a key component of the processing needed to prepare optical satellite imagery for scientific analysis.
Katelyn Tarrio +7 more
doaj +1 more source
This study develops a remote sensing methodology that integrates high‐resolution satellite imagery with field validation to map the Wahiba Dune Field of Oman. Findings reveal the sensitivity of contemporary geomorphic surfaces to local sediment dynamics and highlight the value of multi‐scale analysis in interpreting dune field evolution.
David Cousins +7 more
wiley +1 more source
ABSTRACT The role of plant diversity and biomass in ecosystem functioning and management is well recognized. However, the structural drivers of aboveground biomass (AGB) and their influence across savanna ecosystems remain understudied, particularly in semi‐arid regions.
Kangbéni Dimobe +4 more
wiley +1 more source
This study evaluates Pakistan's Billion Tree Afforestation Project in KPK province using Random Forest classification and Sentinel‐2 imagery, revealing a 4.97% increase in tree cover from 2015 to 2023. Hotspot analysis showed increased vegetation clustering, while an ANN model predicted NDVI with high accuracy, identifying soil moisture and ...
Kaleem Mehmood +8 more
wiley +1 more source
Abstract In West Africa, lakes and reservoirs play a vital role as they are critical resources for drinking water, livestock, irrigation, and fisheries. Given the scarcity of in‐situ data, satellite remote sensing is an important tool for monitoring lake volume changes in this region.
F. Girard +9 more
wiley +1 more source
SENTINEL-2 SEN2COR: L2A Processor for Users [PDF]
Sen2Cor is a Level-2A (L2A) processor which main purpose is to correct single-date Sentinel-2 Level-1C products from the effects of the atmosphere in order to deliver a Level-2A surface reflectance product. This paper provides a description of L2A products contents and format.
Louis, Jérôme +7 more
openaire +1 more source
Sen2Cor Version 3.0 Processor Applied to Landsat-8 Data: Implementation and Preliminary Results [PDF]
Sen2Cor (latest version 2.10) is the official ESA Sentinel-2 processor for the generation of the Level-2A Bottom-Of-Atmosphere reflectance products starting from Level-1C Top-Of-Atmosphere reflectance. In this work, we introduce Sen2Cor 3.0, an evolution of Sen2Cor 2.10 able to perform the processing of Landsat-8 Level-1 products in addition to ...
Pignatale, Francesco Cristiano +11 more
openaire +1 more source
The relationship between functional diversity (richness, evenness) and drought response (resistance, recovery, resilience) during the severe 2018 drought in Switzerland was analyzed using satellite‐derived data. The Sentinel‐2 data revealed that forests with greater canopy trait diversity showed higher resistance and resilience to drought.
Isabelle S. Helfenstein +5 more
wiley +1 more source
ABSTRACT In this study, the effects of algal blooms occurring in Izmir Bay in the summer of 2024 on marine ecosystems were investigated using remote sensing techniques on Google Earth Engine platform. The normalized difference chlorophyll index (NDCI) was calculated from January to the end of September and the chlorophyll‐a density was analyzed ...
Osman Salih Yılmaz +4 more
wiley +1 more source

