Estimating crop parameters using Sentinel-1 and 2 datasets and geospatial field data
Crop monitoring is essential for ensuring food security in a global context of population growth and climate change. Satellite images are commonly used to estimate crop parameters over large areas, and the freely available Synthetic Aperture Radar (SAR) Sentinel-1 (S-1) and optical Sentinel-2 (S-2)...
Main Authors: | Audrey Mercier, Julie Betbeder, Julien Denize, Jean-Luc Roger, Fabien Spicher, Jérôme Lacoux, David Roger, Jacques Baudry, Laurence Hubert-Moy |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-10-01
|
Series: | Data in Brief |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2352340921006909 |
Similar Items
-
Potential of C-band Synthetic Aperture Radar Sentinel-1 time-series for the monitoring of phenological cycles in a deciduous forest
by: Kamel Soudani, et al.
Published: (2021-12-01) -
Evaluating Hyperspectral Vegetation Indices for Leaf Area Index Estimation of Oryza sativa L. at Diverse Phenological Stages
by: Mairaj Din, et al.
Published: (2017-05-01) -
Spatio-Temporal LAI Modelling by Integrating Climate and MODIS LAI Data in a Mesoscale Catchment
by: Liya Sun, et al.
Published: (2017-02-01) -
Row Orientation and Canopy Position Affect Bud Differentiation, Leaf Area Index and Some Agronomical Traits of a Super High-Density Almond Orchard
by: Francesco Maldera, et al.
Published: (2021-01-01) -
Periodic Relations between Terrestrial Vegetation and Climate Factors across the Globe
by: Boyi Liang, et al.
Published: (2020-06-01)