Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops

Balenzano, Anna; Mattia, F.; Satalino, G.; Davidson, Malcolm

doi:10.1109/jstars.2010.2052916

Cited by 232 publications

(146 citation statements)

References 31 publications

Supporting

Mentioning

127

Contrasting

Order By: Relevance

“…In Figure 5c, following a relatively low level at Stage A, the volume scattering ratio in total scattering (Volume/Total) kept increasing in both Stage B and Stage C. However, the increase stopped and a saturation effect arose at Stage D. At this stage, volume scattering accounted for almost the total scattering, reaching up to 96%. This was consistent with previous reports [29][30][31]41], which indicated that oilseed rape was dominated by volume scattering due to its heterogeneous canopy. Then at the ripening stage (Stage E), the Volume/Total decreased slightly due to the vegetation drying.…”

Section: Temporal Behavior Of the Polarimetric Response During The Crsupporting

confidence: 94%

“…Although Kim et al [44,45] obtained a near-continuous season-long monitoring, they used a ground-based scatterometer and they focused on rice or wheat crops. In addition, the temporal behavior of oilseed rape was investigated in some researches [27,[29][30][31], but these were only limited to analysis of simple backscattering coefficients (or their ratio), rather than polarimetric signatures.…”

Section: Discussionmentioning

confidence: 99%

“…Moreover, the microwave response of the oilseed rape crop during the growing season is much more complex with respect e.g., to rice paddies, which have a smooth underlying water surface. Previous studies revealed that the oilseed rape canopy has a strong volume scattering contribution due to its heterogeneous structure [29][30][31]. Specific studies aimed at the investigation of the temporal behavior of oilseed rape polarimetric response during the growing season are, however, currently unavailable.…”

Section: Background and Rationalementioning

confidence: 99%

See 2 more Smart Citations

Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring

Yang

Chen

et al. 2014

Remote Sensing

View full text Add to dashboard Cite

Spatial monitoring of the sowing date plays an important role in crop yield estimation at the regional scale. The feasibility of using polarimetric synthetic aperture radar (SAR) data for early season monitoring of the sowing dates of oilseed rape (Brassica napus L.) fields is explored in this paper. Polarimetric SAR responses of six parameters, relying on polarization decomposition methods, were investigated as a function of days after sowing (DAS) during the entire growing season, by means of five consecutive Radarsat-2 images. A near-continuous temporal evolution of these parameters was observed, based on 88 oilseed rape fields. It provided a solid basis for determining the suitable temporal window and the best polarimetric parameters for sowing date monitoring. A high sensitivity of all polarimetric parameters to the DAS at different growing stages was shown. Simple linear models could be calibrated to estimate sowing dates at early growth OPEN ACCESS

show abstract

Section: Temporal Behavior Of the Polarimetric Response During The Crsupporting

confidence: 94%

Section: Discussionmentioning

confidence: 99%

Section: Background and Rationalementioning

confidence: 99%

See 1 more Smart Citation

Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring

Yang

Chen

et al. 2014

Remote Sensing

View full text Add to dashboard Cite

show abstract

“…A number of approaches have been proposed, and different results have been obtained with different model parameters, such as vegetation cover and soil surface roughness [9][10][11]. These roughness and vegetation contribution from the retrieval procedure.…”

Section: Introductionmentioning

confidence: 99%

The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China

et al. 2015

View full text Add to dashboard Cite

Abstract:The potential use of TerraSAR-X and Radarsat-2 data for soil moisture retrieval over bare agricultural areas was investigated using both empirical and semi-empirical approaches. For the empirical approach, the Support Vector Regression (SVR) model was used with two cases: (1) using only one C-band or X-band image; and (2) using a pair of C-band and X-band images jointly. For the semi-empirical approach, the modified Dubois model based on C-band and X-band SAR data was developed to estimate soil moisture content. The experiments were implemented over two bare agricultural areas, and in-situ measurements were carried out to assess the methods. The results showed that the TerraSAR-X and Radarsat-2 are suitable remote sensing tools for the estimation of surface soil moisture, with an accuracy of about 3 vol % (root mean square error, RMSE) over bare agricultural areas. Compared with the results obtained by Radarsat-2 data, TerraSAR-X data gives a slight improvement in estimating soil moisture. The accuracy of the soil moisture estimation was improved further when the two bands SAR data were used (RMSE of about 2.2 vol %) instead of only one. Moreover, the modified Dubois model showed comparable accuracy to the empirical model independent of the surface roughness.

show abstract

“…In [26][27][28][29][30][31][32][33][34][35], the capability of ASAR backscattering to estimate the surface soil moisture has been demonstrated.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites

et al. 2014

View full text Add to dashboard Cite

Abstract:In the framework of the European Space Agency Climate Change Initiative, a global, almost daily, soil moisture (SM) product is being developed from passive and active satellite microwave sensors, at a coarse spatial resolution. This study contributes to its validation by using finer spatial resolution ASAR Wide Swath and in situ soil moisture data taken over three sites in Ireland, from 2007 to 2009. This is the first time a comparison has been carried out between three sets of independent observations from different sensors at very different spatial resolutions for such a long time series. Furthermore, the SM spatial distribution has been investigated at the ASAR scale within each Essential Climate Variable (ECV) pixel, without adopting any particular model or using a densely distributed network of in situ stations. This approach facilitated an understanding of the extent to which geophysical factors, such as soil texture, terrain composition and altitude, affect the retrieved ECV SM product values in temperate grasslands. Temporal and spatial variability analysis provided high levels of correlation (p < 0.025) and low errors between the three datasets, leading to confidence in the new ECV SM global product, despite limitations in its ability to track the driest and wettest conditions.

show abstract

Dense Temporal Series of C- and L-band SAR Data for Soil Moisture Retrieval Over Agricultural Crops

Cited by 232 publications

References 31 publications

Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring

Temporal Polarimetric Behavior of Oilseed Rape (Brassica napus L.) at C-Band for Early Season Sowing Date Monitoring

The Potential Use of Multi-Band SAR Data for Soil Moisture Retrieval over Bare Agricultural Areas: Hebei, China

Evaluation of a Global Soil Moisture Product from Finer Spatial Resolution SAR Data and Ground Measurements at Irish Sites

Contact Info

Product

Resources

About