[article] | Titre : |
Interferometric SAR for characterization of ravines as a function of their density, depth, and surface cover |
| Type de document : |
Article/Communication |
| Auteurs : |
R.S. Chatterjee, Auteur ; S. Saha, Auteur ; Satish Kumar, Auteur ; et al., Auteur |
| Année de publication : |
2009 |
| Article en page(s) : |
pp 472 - 481 |
| Note générale : |
Bibliographie |
| Langues : |
Anglais (eng) |
| Descripteur : |
[Vedettes matières IGN] Traitement d'image radar et applications
[Termes IGN] bande C
[Termes IGN] caractérisation
[Termes IGN] érosion hydrique
[Termes IGN] image ERS-SAR
[Termes IGN] image radar moirée
[Termes IGN] Inde
[Termes IGN] interféromètrie par radar à antenne synthétique
[Termes IGN] profondeur
|
| Résumé : |
(Auteur) In recent years, the problem of ravine erosion with consequent loss of usable land has received much attention worldwide. The Chambal ravine zone in India is well known for being an extremely intricate, deeply incised network of ravines in a 10 km wide zone on the flanks of the Chambal River. It occupies an area of not, vert, similar0.5 million hectares at the expense of fertile agricultural land of the Chambal Valley. The broad grouping of the ravines considering their reclamation potential, as carried out by previous workers based on visual interpretation of optical remote sensing data, is mostly descriptive in nature. In the present study, characterization of the ravines as a function of their erosion potential expressed through ravine density, ravine depth, and ravine surface cover was made in quantitative terms exploiting the preferential characteristics of side-looking, long-wavelength, coherent SAR signal and precision measurements associated with the InSAR technique. The outlines of ravines appear remarkably prominent in SAR backscattered amplitude images due to the high sensitivity of the SAR signal to terrain ruggedness. Using local statistics-based meso and macro textural information of SAR backscattered amplitude images in 7*7 pixel windows (the pixel size being 20 m*20 m), the ravine-affected area has been classified into three density classes, namely low, moderate, and high density ravine classes. C-band InSAR digital elevation models (DEMs) of sparsely vegetated ravine areas essentially give the terrain height. From the pixel-by-pixel terrain height, the ravine depth was calculated by differencing the maximum and minimum terrain heights of the pixels in a 100 m distance range. Considering the vertical precision of the ERS InSAR DEMs of not, vert, similar5 m and ravine depth classification by previous workers [Sharma, H.S., 1968. Genesis and pattern of ravines of the Lower Chambal Valley, India. Special Issue. 21st International Geographical Union Congress 30(4), 14–24; Seth, S.P., Bhatnagar, R.K., Chauhan, S.S., 1969. Reclamability classification and nature of ravines of Chambal Command Areas. Journal of Soil and Water Conservation in India 17 (3–4), 39–44.], three depth classes, namely shallow (20 m) ravines, were made. Using the temporal decorrelation property of the close time interval InSAR data pair, namely the ERS SAR tandem pair, four ravine surface cover classes, namely barren land, grass/scrub/crop land, sparse vegetation, and wet land/dense vegetation, could be delineated, which was corroborated by the spectral signatures in the optical range and selective ground truths. Copyright ISPRS |
| Numéro de notice : |
A2009-400 |
| Affiliation des auteurs : |
non IGN |
| Thématique : |
IMAGERIE |
| Nature : |
Article |
| nature-HAL : |
ArtAvecCL-RevueIntern |
| DOI : |
10.1016/j.isprsjprs.2008.12.005 |
| En ligne : |
https://doi.org/10.1016/j.isprsjprs.2008.12.005 |
| Format de la ressource électronique : |
URL article |
| Permalink : |
https://documentation.ensg.eu/index.php?lvl=notice_display&id=30031 |
in ISPRS Journal of photogrammetry and remote sensing > vol 64 n° 5 (September - October 2009) . - pp 472 - 481
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Ajouter le résultat dans votre panierDiscrimination of agricultural crops in a tropical semi-arid region of Brazil based on L-band polarimetric airborne SAR data in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)
