Estimating Soil Moisture Using Optical and Radar Satellite Remote Sensing Data.
| Title: | Estimating Soil Moisture Using Optical and Radar Satellite Remote Sensing Data. |
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| Authors: | Natali, Stefano, Pellegrini, Loreto, Rossi, Gianluigi, Giordano, Ludovica, Iannetta, Massimo, Schino, Gabriele, Marini, Alberto, Nabil, Gasmi |
| Source: | Desertification & Risk Analysis Using High & Medium Resolution Satellite Data; 2009, p105-116, 12p |
| Abstract: | The purpose of this work is to investigate the possible use of MODIS and ENVISAT-ASAR Data to extract soil moisture (SM) field and validate the developed systems by means of in situ measurements. The main idea of this study concerns the advantages that could arise from a continuous and almost real time SM monitoring, permitted by wide-swath passive optical sensors that allow evaluating the dynamic evolution of different phenomena on a wide range of application fields: from hydrological monitoring and management to agricultural applications and so on. Observations provided by MODIS have no direct physical relation with soil water content. On the other hand, the relationship between Land Surface temperature (LST), NDVI and in situ measurements have shown many potentialities to indirectly retrieve SM information. The use of SAR data for validation purposes is envisaged but not yet applied. Calibration and validation phases are performed over a test site where in situ measurements are available. [ABSTRACT FROM AUTHOR] |
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| Database: | Complementary Index |
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| Items | – Name: Title Label: Title Group: Ti Data: Estimating Soil Moisture Using Optical and Radar Satellite Remote Sensing Data. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Natali%2C+Stefano%22">Natali, Stefano</searchLink><br /><searchLink fieldCode="AR" term="%22Pellegrini%2C+Loreto%22">Pellegrini, Loreto</searchLink><br /><searchLink fieldCode="AR" term="%22Rossi%2C+Gianluigi%22">Rossi, Gianluigi</searchLink><br /><searchLink fieldCode="AR" term="%22Giordano%2C+Ludovica%22">Giordano, Ludovica</searchLink><br /><searchLink fieldCode="AR" term="%22Iannetta%2C+Massimo%22">Iannetta, Massimo</searchLink><br /><searchLink fieldCode="AR" term="%22Schino%2C+Gabriele%22">Schino, Gabriele</searchLink><br /><searchLink fieldCode="AR" term="%22Marini%2C+Alberto%22">Marini, Alberto</searchLink><br /><searchLink fieldCode="AR" term="%22Nabil%2C+Gasmi%22">Nabil, Gasmi</searchLink> – Name: TitleSource Label: Source Group: Src Data: Desertification & Risk Analysis Using High & Medium Resolution Satellite Data; 2009, p105-116, 12p – Name: Abstract Label: Abstract Group: Ab Data: The purpose of this work is to investigate the possible use of MODIS and ENVISAT-ASAR Data to extract soil moisture (SM) field and validate the developed systems by means of in situ measurements. The main idea of this study concerns the advantages that could arise from a continuous and almost real time SM monitoring, permitted by wide-swath passive optical sensors that allow evaluating the dynamic evolution of different phenomena on a wide range of application fields: from hydrological monitoring and management to agricultural applications and so on. Observations provided by MODIS have no direct physical relation with soil water content. On the other hand, the relationship between Land Surface temperature (LST), NDVI and in situ measurements have shown many potentialities to indirectly retrieve SM information. The use of SAR data for validation purposes is envisaged but not yet applied. Calibration and validation phases are performed over a test site where in situ measurements are available. [ABSTRACT FROM AUTHOR] – Name: Abstract Label: Group: Ab Data: <i>Copyright of Desertification & Risk Analysis Using High & Medium Resolution Satellite Data is the property of Springer Nature / Books and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/978-1-4020-8937-4_9 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 12 StartPage: 105 Titles: – TitleFull: Estimating Soil Moisture Using Optical and Radar Satellite Remote Sensing Data. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Natali, Stefano – PersonEntity: Name: NameFull: Pellegrini, Loreto – PersonEntity: Name: NameFull: Rossi, Gianluigi – PersonEntity: Name: NameFull: Giordano, Ludovica – PersonEntity: Name: NameFull: Iannetta, Massimo – PersonEntity: Name: NameFull: Schino, Gabriele – PersonEntity: Name: NameFull: Marini, Alberto – PersonEntity: Name: NameFull: Nabil, Gasmi IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 01 Text: 2009 Type: published Y: 2009 Identifiers: – Type: isbn-print Value: 9781402089367 Titles: – TitleFull: Desertification & Risk Analysis Using High & Medium Resolution Satellite Data Type: main |
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