Estimation of crop parameters using multi-temporal optical and radar polarimetric satellite data
This paper is concerned with the estimation of wheat and rapeseed crops parameters (height, leaf area index and dry biomass), during their whole vegetation cycle, using satellite time series both acquired in optical and microwave domains. Crop monitoring at a fine scale represents an important stake from an environmental point of view as it provides essential information to combine increase of production and sustainable management of agricultural landscapes. The aim of this paper is to compare the potential of optical and SAR parameters (backscattering coefficients and polarimetric parameters) for crop parameters estimation. Satellite (Formosat-2, Spot-4/5 and Radarsat-2) and ground data were acquired during the MCM'10 experiment conducted by the CESBIO laboratory in 2010. A vegetation index was derived from the optical images: the NDVI and backscattering coefficients and polarimetric parameters were computed from Radarsat-2 images. Results of this study show the high interest of using SAR parameters (backscattering coefficients and polarimetric parameters) for crop parameters estimation during the whole vegetation cycle instead of using optical vegetation index. Polarimetric parameters do not improve wheat parameters estimation (e.g. backscattering coefficient σ° VV corresponds to the best parameter for wheat height estimation (r² = 0.60)) but show their high potential for rapeseed height and dry biomass monitoring (i.e. Shannon Entropy polarimetry (SEp ; r² = 0.70) and Radar Vegetation Index (RVI ; r² = 0.80) respectively).
Main Authors: | Betbeder, Julie, Fieuzal, Remy, Philippets, Yannick, Ferro-Famil, Laurent, Baup, Frederic |
---|---|
Format: | conference_item biblioteca |
Language: | eng |
Published: |
SPIE
|
Online Access: | http://agritrop.cirad.fr/595160/ http://agritrop.cirad.fr/595160/1/betbederetal_SPIE2015.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Contribution of multitemporal polarimetric synthetic aperture radar data for monitoring winter wheat and rapeseed crops
by: Betbeder, Julie, et al. -
Combined use of agro-meteorological model and multi-temporal satellite data (optical and radar) for monitoring corn biophysical parameters
by: Ameline, Maël, et al. -
Estimation of soybean yield from assimilated optical and radar data into a simplified agrometeorological model
by: Baup, Frederic, et al. -
Assimilation of LAI and dry biomass data from optical and SAR images into an agro-meteorological model to estimate soybean yield
by: Betbeder, Julie, et al. -
Polarimetric parameters associated to commercial optical fibers
by: Velarde-Escobar,O. J., et al.
Published: (2014)