Science Service System

Summary of Proposal LAN0021

TitleCrop Monitoring Using Dual Polarization X-Band SAR Data
Investigator Lopez-Sanchez, Juan M - University of Alicante, DFISTS, EPS
Team Members
Mr. Ballester-Berman, J. David - University of Alicante, DFISTS, EPS
Mr. Rodríguez Pérez, Antonio José - Empresa Pública de Desarrollo Agrario y Pesquero, DAP
Dr. Gómez-Dans, José Luis - Empresa Pública de Desarrollo Agrario y Pesquero, DAP
Mr. Vicente-Guijalba, Fernando - University of Alicante, DFISTS, EPS
SummaryOBJECTIVES & METHOD Since this pre-launch AO does not include the experimental quad-pol mode of TerraSAR-X, this project is focused on the exploitation of the co-polarized and cross-polarized signals, which are measured in the dual-pol mode. A number of signal derived parameters will be tested in relation with the bio- and geophysical parameters of interest in crop monitoring. Among others, the following observables will be computed and analysed: VV power (sigma0), HV power (sigma0), HV/VV ratio and HV-VV phase difference. Monitoring parameters that will be analysed using the requested radar data are: emergence time, phenology, crop density (and cover density), crop height and architecture, soil parameters, Leaf Area Index (LAI). Crop types to be studied & available ground-truth: cereals and rice a) Cereals Extensive areas of cereal are common in Andalucía. These can be divided in irrigated or non-irrigated. The former are more intensive, and cover a smaller area, while the latter are more extensive, and cover a larger extension. Due to the influence of climate on the non-irrigated crops, their monitoring is more important than that of irrigated crops. The larger areas make remote sensing a useful and economic tool for monitoring large extents. The municipalities of Carmona and Ecija (province of Sevilla, Spain) have an extension of close to 170000 Ha of declared non-irrigated cereals. These two areas are located on flat terrain, with a variety of field extensions. Since this area is approx. a rectangle 95x70 km, some specific areas matched to one track (orbit) of TerraSAR-X will be selected if the project is accepted. Currently, DAP has detailed information on the location of the crops based on CAP declarations, meteorological station data, development stage, crop density and height, and could arrange for in situ architectural and soil parameters, as well as LAI measurements to coincide with satellite data acquisitions. In addition to ground truth, a number of investigations using medium and high resolution optical data are being carried out, as well as their assimilation to agrometeorological models. Cereals are sown around October-November, and collection starts around May, and extends towards July, depending on the cereal. b) Rice Rice is an important crop in Andalucía, covering a compact area located towards the mouth of the Guadalquivir River. Due to its economic importance and punctual location, a wealth of information about crop productivity, development stage and applied treatments, is available. Conclusions obtained with this test region would form an interesting first step towards a generalization of the use of these techniques to other areas of the world. Monitoring rice requires an assessment of crop emergence, and a monitoring of the development of the plant throughtout its development. The small size of most paddies, and the need to map emergence timely results in a need for high spatial and temporal resolution. Rice is sown in Andalucía between May and June, and the crop is collected between September and October (there is also a small probability on some years of collection towards the beginning of November). A rather dense temporal sampling towards the beginning of growing season, to accurately map emergence and initial development stages would be beneficial, with requirements dropping off towards the end of the season. DATA REQUIREMENTS Stripmap mode images Dual polarization: VV/HV All images of the same orbit and ground location during the following dates: a) Cereals: September-August b) Rice: April-November DELIVERABLES 1- Maps of crop and soil parameters. 2- Models and algorithms adapted to different crops, for detecting significant crop parameters. 3- Plan of application to commercial use.

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