Ku- and C-band SAR for discriminating agricultural crop and soil conditions

Moran, M. Susan; Vidal, Alain; Troufleau, D.; Inoue, Yoshio; Mitchell, Taylor

doi:10.1109/36.655335

Cited by 82 publications

(36 citation statements)

References 17 publications

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“…For example, Moran et al [196] used a dual frequency approach of Ku-band (14.8 GHz) and C-band (5.3 GHz) SAR backscatter to estimate soil moisture. Using this approach, Kuband was used to estimate Leaf Area Index (LAI) for input into the water cloud model to facilitate measuring soil moisture using C-band (as C-band backscatter can be strongly attenuated by increasing LAI).…”

Section: Discussionmentioning

confidence: 99%

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

2009

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Abstract:The importance of land surface-atmosphere interactions, principally the effects of soil moisture, on hydrological, meteorological, and ecological processes has gained widespread recognition over recent decades. Its high spatial and temporal variability however, makes soil moisture a difficult parameter to measure and monitor effectively using traditional methods. Microwave remote sensing technology has demonstrated the potential to map and monitor relative soil moisture changes over large areas at regular intervals in time and also the opportunity of measuring, through inverse modelling, absolute soil moisture values. This ability has been demonstrated under a variety of topographic and land cover conditions using both active and passive microwave instruments. The purpose of this paper is to review the current status of soil moisture determination from active microwave remote sensing systems and to highlight the key areas of research that will have to be addressed to achieve routine use of the proposed retrieval approaches.

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Section: Discussionmentioning

confidence: 99%

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

2009

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“…There is empirical and theoretical evidence that SAR backscatter in combination with optical data (i.e., visible, through TIR wavelengths) may provide useful information about crop water stress [72,73]. At high frequencies ($13 GHz), field experiments have shown that the radar signal was particularly sensitive to such plant parameters as leaf area index, plant biomass, and percentage of vegetation cover.…”

Section: Discussionmentioning

confidence: 99%

Remote sensing in hydrology

Schmugge

Kustas

Ritchie

et al. 2002

Advances in Water Resources

479

268

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“…Recent studies have developed multi-sensor approaches for agricultural management purposes (irrigation surveys, agricultural soil management or natural grassland monitoring) by underscoring the importance of combining optical and radar images [26][27][28][29][30][31]. In microwave domain, the launch of Terra-SAR-X and Alos satellites has enabled the use of multifrequency radar signals to monitor crops such as sugarcane, corn and soybean, or agricultural surface parameters [32][33][34][35]. Those missions at X-and L-bands, supplement C-band data available from the nineties with the launch of ERS-1.…”

mentioning

confidence: 99%

Monitoring Wheat and Rapeseed by Using Synchronous Optical and Radar Satellite Data—From Temporal Signatures to Crop Parameters Estimation

Fieuzal¹,

Baup²,

Marais-Sicre³

2013

ARS

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This paper investigates the sensitivity of multi-temporal SAR data acquired at different frequencies (X-, C-and L-bands), polarizations (HH, VV, VH and HV) and incidence angles (from 24˚ to 53˚) during the growing season of two winter crops (rapeseed and wheat). This study was part of a multi-sensor crop-monitoring experiment that was performed from February to November 2010 (MCM'10). During the experiment, dense series of satellite data were acquired in microwave, optical and thermal domains (more than 150 images were provided by TerraSAR-X, Radarsat-2 Alos, Formosat-2, Spot-4/5 and Landsat-5/7) were synchronous with ground measurements over an agricultural area located in southwestern France, near Toulouse. An angular normalization of radar signals is first performed for each crop type at X-and C-bands by using a dense temporal satellite series and the complementarity provided by microwave and optical data. The results show that the angular sensitivity of radar backscatter decreases with the increase of the vegetation index (from 0.4 dB.˚− 1 over bare soils to 0.05 dB.˚− 1 for fully vegetated fields). Lower angular sensitivity is observed at X-band (compared to C-band), and for the cross-polarized signal. Analyses of the temporal signatures of the radar backscatter show a well-marked signal dynamic at X-, C-and L-bands, depending on the crops and theirs associated phenological stages. During the stems elongation of wheat while the NDVI increases of 0.2, a dynamic of 10 dB is observed at X-band and at C-band with VV polarization. Interesting behaviors are also observed during the crop senescence with an increase of several dB (depending on the sensor configuration), while the NDVI decreases of 0.5. Over rapeseed, cross-polarized backscatters offer promising dynamic of 6 dB during the seed development, while the NDVI saturates at maximum values. The use of radar signals, in complement of optical, for crop parameters monitoring is achieved in terms of leaf area index and crop height estimations. Over rapeseed, best correlations between crop parameters and radar signals are obtained at C-band, by combining co-and cross-polarized backscatters (R 2 > 0.61). Over wheat, best results are achieved by using X-band data (R 2 > 0.64).

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Ku- and C-band SAR for discriminating agricultural crop and soil conditions

Cited by 82 publications

References 17 publications

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

Soil Moisture Retrieval from Active Spaceborne Microwave Observations: An Evaluation of Current Techniques

Remote sensing in hydrology

Monitoring Wheat and Rapeseed by Using Synchronous Optical and Radar Satellite Data—From Temporal Signatures to Crop Parameters Estimation

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