Prototyping a Generic Algorithm for Crop Parameter Retrieval across the Season Using Radiative Transfer Model Inversion and Sentinel-2 Satellite Observations
In this study, Sentinel-2 data were used for the retrieval of three key biophysical parameters of crops: leaf area index (LAI), leaf chlorophyll content (LCC), and leaf water content (LWC) for dominant crop types in the Czech Republic, including winter wheat (<i>Triticum aestivum</i>), s...
Main Authors: | Jiří Tomíček, Jan Mišurec, Petr Lukeš |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-09-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | https://www.mdpi.com/2072-4292/13/18/3659 |
Similar Items
-
Retrieval of Harmonized LAI Product of Agricultural Crops from Landsat OLI and Sentinel-2 MSI Time Series
by: Jiří Tomíček, et al.
Published: (2022-12-01) -
Leaf pigment retrieval using the PROSAIL model: Influence of uncertainty in prior canopy-structure information
by: Jia Sun, et al.
Published: (2022-10-01) -
Retrieving Crop Leaf Chlorophyll Content Using an Improved Look-Up-Table Approach by Combining Multiple Canopy Structures and Soil Backgrounds
by: Xiaojin Qian, et al.
Published: (2020-07-01) -
Retrieving and Validating Leaf and Canopy Chlorophyll Content at Moderate Resolution: A Multiscale Analysis with the Sentinel-3 OLCI Sensor
by: Charlotte De Grave, et al.
Published: (2021-04-01) -
Estimating Crop Biophysical Parameters Using Machine Learning Algorithms and Sentinel-2 Imagery
by: Mahlatse Kganyago, et al.
Published: (2021-10-01)