Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data
This paper presents an empirical model for classifying frozen/unfrozen soils in the entire Bras d’Henri River watershed (167 km2) near Quebec City (Quebec, Canada). It was developed to produce frozen soil maps under snow cover using RADARSAT-1 fine mode images and in situ data during three winters....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2011-01-01
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| Series: | Applied and Environmental Soil Science |
| Online Access: | http://dx.doi.org/10.1155/2011/193237 |
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| _version_ | 1832564412048736256 |
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| author | Jalal Khaldoune Eric Van Bochove Monique Bernier Michel C. Nolin |
| author_facet | Jalal Khaldoune Eric Van Bochove Monique Bernier Michel C. Nolin |
| author_sort | Jalal Khaldoune |
| collection | DOAJ |
| description | This paper presents an empirical model for classifying frozen/unfrozen soils in the entire Bras d’Henri River watershed (167 km2) near Quebec City (Quebec, Canada). It was developed to produce frozen soil maps under snow cover using RADARSAT-1 fine mode images and in situ data during three winters. Twelve RADARSAT-1 images were analyzed from fall 2003 to spring 2006 to discern the intra- and interannual variability of frozen soil characteristics. Regression models were developed for each soil group (parent material-drainage-soil type) and land cover to establish a threshold for frozen soil from the backscattering coefficients (HH polarization). Tilled fields showed higher backscattering signal (+3 dB) than the untilled fields. The overall classification accuracy was 87% for frozen soils and 94% for unfrozen soils. With respect to land use, that is, tilled versus untilled fields, an overall accuracy of 89% was obtained for the tilled fields and 92% for the untilled fields. Results show that this new mapping approach using RADARSAT-1 images can provide estimates of surface soil status (frozen/unfrozen) at the watershed scale in agricultural areas. |
| format | Article |
| id | doaj-art-87584d5bbe674a78acd68942f81c9d59 |
| institution | Kabale University |
| issn | 1687-7667 1687-7675 |
| language | English |
| publishDate | 2011-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Applied and Environmental Soil Science |
| spelling | doaj-art-87584d5bbe674a78acd68942f81c9d592025-02-03T01:11:04ZengWileyApplied and Environmental Soil Science1687-76671687-76752011-01-01201110.1155/2011/193237193237Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing DataJalal Khaldoune0Eric Van Bochove1Monique Bernier2Michel C. Nolin3Institut National de la Recherche Scientifique—Eau, Terre et Environnement (INRS-ETE), 490 rue de la Couronne, QC, G1K 9A9, CanadaAgriculture and Agri-Food Canada, Soils and Crops Research and Development Centre, 2560 Hochelaga Boulevard, QC, G1V 2J3, CanadaInstitut National de la Recherche Scientifique—Eau, Terre et Environnement (INRS-ETE), 490 rue de la Couronne, QC, G1K 9A9, CanadaAgriculture and Agri-Food Canada, Soils and Crops Research and Development Centre, 2560 Hochelaga Boulevard, QC, G1V 2J3, CanadaThis paper presents an empirical model for classifying frozen/unfrozen soils in the entire Bras d’Henri River watershed (167 km2) near Quebec City (Quebec, Canada). It was developed to produce frozen soil maps under snow cover using RADARSAT-1 fine mode images and in situ data during three winters. Twelve RADARSAT-1 images were analyzed from fall 2003 to spring 2006 to discern the intra- and interannual variability of frozen soil characteristics. Regression models were developed for each soil group (parent material-drainage-soil type) and land cover to establish a threshold for frozen soil from the backscattering coefficients (HH polarization). Tilled fields showed higher backscattering signal (+3 dB) than the untilled fields. The overall classification accuracy was 87% for frozen soils and 94% for unfrozen soils. With respect to land use, that is, tilled versus untilled fields, an overall accuracy of 89% was obtained for the tilled fields and 92% for the untilled fields. Results show that this new mapping approach using RADARSAT-1 images can provide estimates of surface soil status (frozen/unfrozen) at the watershed scale in agricultural areas.http://dx.doi.org/10.1155/2011/193237 |
| spellingShingle | Jalal Khaldoune Eric Van Bochove Monique Bernier Michel C. Nolin Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data Applied and Environmental Soil Science |
| title | Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data |
| title_full | Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data |
| title_fullStr | Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data |
| title_full_unstemmed | Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data |
| title_short | Mapping Agricultural Frozen Soil on the Watershed Scale Using Remote Sensing Data |
| title_sort | mapping agricultural frozen soil on the watershed scale using remote sensing data |
| url | http://dx.doi.org/10.1155/2011/193237 |
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