Evaluation of Sentinel-2 vegetation indices for prediction of LAI, fAPAR and fCover of winter wheat in Bulgaria
Author:
Affiliation:
1. Department of Remote Sensing and GIS, Space Research and Technology Institute at Bulgarian Academy of Sciences, Sofia, Bulgaria
Publisher
Informa UK Limited
Subject
Applied Mathematics,Atmospheric Science,Computers in Earth Sciences,General Environmental Science
Link
https://www.tandfonline.com/doi/pdf/10.1080/22797254.2020.1839359
Reference64 articles.
1. AHDB. (2018). Wheat growth guide. In AHDB Cereals & Oilseeds (Agriculture and Horticulture Development Board). https://cereals.ahdb.org.uk/media/185687/g66-wheat-growth-guide.pdf
2. Neural network estimation of LAI, fAPAR, fCover and LAI×Cab, from top of canopy MERIS reflectance data: Principles and validation
3. Estimation of Biophysical Variables from Satellite Observations
4. LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION
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