Prediction of crop biophysical variables with panel data techniques and radar remote sensing imagery
Sign Up to like & getrecommendations! Published in 2021 at "Biosystems Engineering"
DOI: 10.1016/j.biosystemseng.2021.02.014
Abstract: Since the late 1970s, remote sensing techniques have been proven to be suitable for characterizing and monitoring plants and crops. In particular, synthetic aperture radar (SAR) missions contribute considerably to this prediction effort. However, the… read more here.
Keywords: crop; biophysical variables; remote sensing; panel data ... See more keywords
Active learning regularization increases clear sky retrieval rates for vegetation biophysical variables using Sentinel-2 data
Sign Up to like & getrecommendations! Published in 2021 at "Remote Sensing of Environment"
DOI: 10.1016/j.rse.2020.112241
Abstract: Abstract For typical cloud conditions, a clear sky retrieval rate (CSRR) >67% is required to meet the Global Climate Observing System temporal interval requirement of 10 days when mapping canopy biophysical variables (‘variables’). Physically based algorithms… read more here.
Keywords: sl2p; active learning; variables using; clear sky ... See more keywords
Can biophysical parameters derived from Sentinel-2 space-borne sensor improve land cover characterisation in semi-arid regions?
Sign Up to like & getrecommendations! Published in 2019 at "Geocarto International"
DOI: 10.1080/10106049.2019.1695956
Abstract: Abstract We explore the potential contribution of Sentinel-2 (S2) wavebands and biophysical parameters, i.e. Leaf Area Index (LAI), Chlorophyll content (Cab), Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction of Vegetation Cover (FVC) and Canopy… read more here.
Keywords: semi arid; land; cover; biophysical parameters ... See more keywords