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NextGEOSS Biodiversity Pilot: Generating Remote Sensing enabled- Essential Biodiversity Variables using high-resolution data: poster

Authors :
Neinavaz, E.
Skidmore, A.K.
Darvishzadeh, R.
Nieuwenhuis, W.
Department of Natural Resources
Faculty of Geo-Information Science and Earth Observation
UT-I-ITC-FORAGES
Source :
EuroGEOSS Workshop 2019
Publication Year :
2019

Abstract

The poster summarizes the implementation of the Innovative Pilot on Biodiversity; WP 6.2.1 developed within NextGEOSS project. The pilot focuses on generating remote sensing –enabled essential biodiversity variables (RS-enabled EBVs) by means of high- resolution satellite data using an empirical approach. From the RS-enabled EBVs, which were initially proposed to be derived from high-resolution satellite data, leaf area index (LAI) was selected as one of the most important vegetation biophysical parameters as well as the EBVs. Sentinel-2 data (Level-2A product) was used and further LAI was retrieved using the relationship between LAI and Enhanced Vegetation Index

Details

Language :
English
Database :
OpenAIRE
Journal :
EuroGEOSS Workshop 2019
Accession number :
edsair.narcis........7a0a61cf89b69b75acb544a52f3d1a38