Multitemporal C-band radar measurements on wheat fields

Inst. di Radioastronomia, Consiglio Nazionale delle Ricerche, Matera, Italy
IEEE Transactions on Geoscience and Remote Sensing (Impact Factor: 3.47). 08/2003; DOI: 10.1109/TGRS.2003.813531
Source: IEEE Xplore

ABSTRACT This paper investigates the relationship between C-band backscatter measurements and wheat biomass and the underlying soil moisture content. It aims to define strategies for retrieval algorithms with a view to using satellite C-band synthetic aperture radar (SAR) data to monitor wheat growth. The study is based on a ground-based scatterometer experiment conducted on a wheat field at the Matera site in Italy during the 2001 growing season. From March to June 2001, eight C-band scatterometer acquisitions at horizontal-horizontal and vertical-vertical polarization, with incidence angles ranging from 23° to 60°, were taken. At the same time, soil moisture, wheat biomass, and canopy structure were collected. The paper describes the experiment and investigates the radar sensitivity to biophysical parameters at different polarizations and incidence angles, and at different wheat phenological stages. Based on the experimental results, the retrieval of wheat biomass and soil moisture content using Advanced Synthetic Aperture Radar data is discussed.

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    ABSTRACT: The objective of this paper is to investigate the use of HH/VV backscatter ratio, derived from data acquired by the Advanced Synthetic Aperture Radar (ASAR) system at high incidence angles (i.e. swaths I5-I7), to discriminate wheat from other crops. The wheat classification is obtained by applying an optimal threshold derived from the statistical distribution of the co-polarized backscatter ratio. The classification is firstly applied to fields monitored during the experimental campaign, then it is extended to the entire study area and compared with a classification obtained from multi-temporal SPOT images. The experimental data set consists of a temporal series of 7 ASAR AP and 3 SPOT images acquired in 2006 over an agricultural site located in the Capitanata plain, close to the Foggia town (Southern Italy). The analysis shows that it is possible to obtain classification accuracies in the wheat and non-wheat discrimination higher than 85% under two conditions: 1) ASAR AP data must be acquired during the heading phenological stage (e.g. from the end of April to end of May); 2) the HH and VV backscatter need to be estimated at field scale (corresponding to an estimated number of looks higher than 65).
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    ABSTRACT: This paper measures backscattering coefficients of wheat fields using L, S, C, X-bands scatterometer system during a wheat growth period. The system has full-polarizations (vv, vh, hv, hh) and can view in various incidence angles (from 0° to 90°) and azimuth angles (from 0° to 360°). The wheat field locates at Qionglai County of China is measured during the 2011 growing season. From November 2010 to May 2011, twelve experimental acquisitions (ground and radar data) are carried out over the test field located in a flat area. At the same time, wheat biomass, canopy structure, LAI, soil parameters and related eco-physiological canopy variables are collected. The temporal variations of each band at selected incidence angles have been analysis during the wheat growing season. The correlation coefficients have been computed between the measured and model estimated values of σ0. The results show that the backscattering coefficient is sensitive to the biomass and LAI.
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International; 01/2012
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    ABSTRACT: This paper investigates the S-band backscattering variation of wheat in its four growing seasons, with the purpose of providing a reliable method for wheat identification and monitoring using satellite S-band synthetic aperture radar (SAR) data. The study is based on the tower-based scatteromerer experiment conducted on the wheat fields at the remote sensing test site of Institute of remote sensing applications Chinese academy of sciences. During the entire growing season, we carried out four experiments and got a great amount of backscatter data including the HH and VV polarization. Synchronously, a wide range of plant parameters, such as biomass, soil moisture and canopy height were measured. This paper describes these experiments and analyzes wheat temporal backscattering variation at S-band with corresponding ground parameters.
    Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International; 01/2012


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