2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
ABSTRACT Very recently, it has been observed that GNSS-R can provide a significant contribution t... more ABSTRACT Very recently, it has been observed that GNSS-R can provide a significant contribution to agricultural and forestry applications, since the use of GNSS signals as sources of opportunity enables bistatic radar measurements at L-band, which showed to be sensitive to soil moisture and vegetation parameters. This perspective has been investigated in two experimental activities funded by the European Space Agency: the LEiMON and GRASS campaigns. This work has been carried out with the aim of interpreting the data collected during the two campaigns over land. This requires to model the coherent component associated to the mean surface, but at the same time the diffuse incoherent component due to roughness at wavelength scale. In presence of vegetation, both components must be taken into account. The paper presents the approach followed to develop a simulator of GNSS-R data over land, aiming to support potential applications of GNSS-R for soil moisture and biomass retrieval.
The accuracy achievable in the surface soil moisture measurement of rough bare and vegetated soil... more The accuracy achievable in the surface soil moisture measurement of rough bare and vegetated soils, typical of the Italian landscape, has been investigated by using microwave experimental data collected by means of a multi-band sensor package (L, X, Ka and infrared bands). The thickness of soil that mainly affects the emission at the three microwave frequencies has been assessed. The
IEEE Transactions on Geoscience and Remote Sensing, 1992
... Paolo Ferrazzoli, Leila Guerriero, Simonetta Paloscia, Paolo Pampaloni, Member, ZEEE, Domenic... more ... Paolo Ferrazzoli, Leila Guerriero, Simonetta Paloscia, Paolo Pampaloni, Member, ZEEE, Domenico Solimini ... This work was P. Ferrazzoli, L. Guerriero, and D. Solimini are with the Dipartimento di S. Paloscia and P. Pampaloni are with CNR IROE, 50127 Firenze, Italy. ...
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
ABSTRACT The main objective of this paper is to assess the capability of a soil moisture (SMC) al... more ABSTRACT The main objective of this paper is to assess the capability of a soil moisture (SMC) algorithm adapted to the GMES Sentinel-1 characteristics, developed within the framework of an ESA project (SMAD-1). The SMC product shall be generated from Sentinel-1 data in near-real-time and delivered to the GMES services within 3 hours from observations. Two different complementary approaches were proposed: the first approach was based on Artificial Neural Networks (ANN), which represented the best compromise between retrieval accuracy and processing time, thus being compliant with the timeliness requirements. The second approach was based on a Bayesian Multi-temporal method, allowing an increase of the retrieval accuracy, especially in case of few ancillary data available, at the cost of computational efficiency, taking advantage of the frequent revisit time achieved by Sentinel-1. The algorithm was validated in several test areas in Italy, US and Australia, and finally in Spain by performing a 'blind' validation.
ABSTRACT this paper we discuss some significant aspects of two single scattering models, represen... more ABSTRACT this paper we discuss some significant aspects of two single scattering models, representative of the two classes considered, and present theoretical simulations which are in concordance with the experimental results
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)
This paper presents the results obtained during the airborne IROE-STAAARTE campaign in 1997 on th... more This paper presents the results obtained during the airborne IROE-STAAARTE campaign in 1997 on the agricultural site “Les Alpilles” (France). The radiometric measurements were carried out using the French airplane ARAT equipped with two microwave IROE radiometers at C- and X- bands (6.8 and 10 GHz) and one infrared sensor (8-14 micron). Using two frequency data it was possible to
2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 2014
In this paper an overview of experimental and theoretical investigations concerning snow cover by... more In this paper an overview of experimental and theoretical investigations concerning snow cover by using both active and passive microwave sensors will be presented. In particular, the effects of multi-layer structure of snowpack and its temporal evolution on backscattering and emission have been investigated by model simulations based on the Dense Medium Radiative Transfer (DMRT). The implemented model has been validated using both X-band Cosmo SkyMed acquisitions and multifrequency microwave radiometric data collected in the winters between 2007 and 2011 on a test area located in the Eastern part of the Italian Alps, and corresponding direct measurements of the main snow parameters. The effect of snow parameters on microwave backscattering at X-band and emission at X-, Ku-and Ka-bands has been analyzed by comparing experimental data and model simulations performed with a multi-layer version of the DMRT-QCA model. The study has been focused on the effect of layering structure of snowpack typical of the Alpine regions. It has been observed that the multi-layer model is generally able to account for the effects of complex stratigraphy, reproducing the measured backscattering and emission with a higher accuracy than the single layer one.
IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998
This paper presents the Alpilles-ReSeDA project, which aims at improving methods for interpreting... more This paper presents the Alpilles-ReSeDA project, which aims at improving methods for interpreting remote sensing data for a better evaluation of soil and vegetation functioning (primary production, crop yield, energy balance and water budget). The proposed approach is based on the assimilation of remote sensing data into soil and vegetation functioning models. It emphasizes the multi-temporal, multi-spectral and multi-angular properties of space observations.
2013 IEEE International Geoscience and Remote Sensing Symposium - IGARSS, 2013
ABSTRACT Very recently, it has been observed that GNSS-R can provide a significant contribution t... more ABSTRACT Very recently, it has been observed that GNSS-R can provide a significant contribution to agricultural and forestry applications, since the use of GNSS signals as sources of opportunity enables bistatic radar measurements at L-band, which showed to be sensitive to soil moisture and vegetation parameters. This perspective has been investigated in two experimental activities funded by the European Space Agency: the LEiMON and GRASS campaigns. This work has been carried out with the aim of interpreting the data collected during the two campaigns over land. This requires to model the coherent component associated to the mean surface, but at the same time the diffuse incoherent component due to roughness at wavelength scale. In presence of vegetation, both components must be taken into account. The paper presents the approach followed to develop a simulator of GNSS-R data over land, aiming to support potential applications of GNSS-R for soil moisture and biomass retrieval.
The accuracy achievable in the surface soil moisture measurement of rough bare and vegetated soil... more The accuracy achievable in the surface soil moisture measurement of rough bare and vegetated soils, typical of the Italian landscape, has been investigated by using microwave experimental data collected by means of a multi-band sensor package (L, X, Ka and infrared bands). The thickness of soil that mainly affects the emission at the three microwave frequencies has been assessed. The
IEEE Transactions on Geoscience and Remote Sensing, 1992
... Paolo Ferrazzoli, Leila Guerriero, Simonetta Paloscia, Paolo Pampaloni, Member, ZEEE, Domenic... more ... Paolo Ferrazzoli, Leila Guerriero, Simonetta Paloscia, Paolo Pampaloni, Member, ZEEE, Domenico Solimini ... This work was P. Ferrazzoli, L. Guerriero, and D. Solimini are with the Dipartimento di S. Paloscia and P. Pampaloni are with CNR IROE, 50127 Firenze, Italy. ...
2012 IEEE International Geoscience and Remote Sensing Symposium, 2012
ABSTRACT The main objective of this paper is to assess the capability of a soil moisture (SMC) al... more ABSTRACT The main objective of this paper is to assess the capability of a soil moisture (SMC) algorithm adapted to the GMES Sentinel-1 characteristics, developed within the framework of an ESA project (SMAD-1). The SMC product shall be generated from Sentinel-1 data in near-real-time and delivered to the GMES services within 3 hours from observations. Two different complementary approaches were proposed: the first approach was based on Artificial Neural Networks (ANN), which represented the best compromise between retrieval accuracy and processing time, thus being compliant with the timeliness requirements. The second approach was based on a Bayesian Multi-temporal method, allowing an increase of the retrieval accuracy, especially in case of few ancillary data available, at the cost of computational efficiency, taking advantage of the frequent revisit time achieved by Sentinel-1. The algorithm was validated in several test areas in Italy, US and Australia, and finally in Spain by performing a 'blind' validation.
ABSTRACT this paper we discuss some significant aspects of two single scattering models, represen... more ABSTRACT this paper we discuss some significant aspects of two single scattering models, representative of the two classes considered, and present theoretical simulations which are in concordance with the experimental results
IEEE 1999 International Geoscience and Remote Sensing Symposium. IGARSS'99 (Cat. No.99CH36293)
This paper presents the results obtained during the airborne IROE-STAAARTE campaign in 1997 on th... more This paper presents the results obtained during the airborne IROE-STAAARTE campaign in 1997 on the agricultural site “Les Alpilles” (France). The radiometric measurements were carried out using the French airplane ARAT equipped with two microwave IROE radiometers at C- and X- bands (6.8 and 10 GHz) and one infrared sensor (8-14 micron). Using two frequency data it was possible to
2014 XXXIth URSI General Assembly and Scientific Symposium (URSI GASS), 2014
In this paper an overview of experimental and theoretical investigations concerning snow cover by... more In this paper an overview of experimental and theoretical investigations concerning snow cover by using both active and passive microwave sensors will be presented. In particular, the effects of multi-layer structure of snowpack and its temporal evolution on backscattering and emission have been investigated by model simulations based on the Dense Medium Radiative Transfer (DMRT). The implemented model has been validated using both X-band Cosmo SkyMed acquisitions and multifrequency microwave radiometric data collected in the winters between 2007 and 2011 on a test area located in the Eastern part of the Italian Alps, and corresponding direct measurements of the main snow parameters. The effect of snow parameters on microwave backscattering at X-band and emission at X-, Ku-and Ka-bands has been analyzed by comparing experimental data and model simulations performed with a multi-layer version of the DMRT-QCA model. The study has been focused on the effect of layering structure of snowpack typical of the Alpine regions. It has been observed that the multi-layer model is generally able to account for the effects of complex stratigraphy, reproducing the measured backscattering and emission with a higher accuracy than the single layer one.
IGARSS '98. Sensing and Managing the Environment. 1998 IEEE International Geoscience and Remote Sensing. Symposium Proceedings. (Cat. No.98CH36174), 1998
This paper presents the Alpilles-ReSeDA project, which aims at improving methods for interpreting... more This paper presents the Alpilles-ReSeDA project, which aims at improving methods for interpreting remote sensing data for a better evaluation of soil and vegetation functioning (primary production, crop yield, energy balance and water budget). The proposed approach is based on the assimilation of remote sensing data into soil and vegetation functioning models. It emphasizes the multi-temporal, multi-spectral and multi-angular properties of space observations.
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