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Interferometric SAR for characterization of ravines as a function of their density, depth, and surface cover / R.S. Chatterjee in ISPRS Journal of photogrammetry and remote sensing, vol 64 n° 5 (September - October 2009)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 64 n° 5 (September - October 2009) . - pp 472 - 481 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 [article]

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Coal fire mapping from satellite thermal IR data: a case example in Jharia Coalfield, Jharkhand, India / R.S. Chatterjee in ISPRS Journal of photogrammetry and remote sensing, vol 60 n° 2 (April 2006)  

Public [article]  inISPRS Journal of photogrammetry and remote sensing > vol 60 n° 2 (April 2006) . - pp 113 - 128 Titre : Coal fire mapping from satellite thermal IR data: a case example in Jharia Coalfield, Jharkhand, India Type de document : Article/Communication Auteurs : R.S. Chatterjee, Auteur Année de publication : 2006 Article en page(s) : pp 113 - 128 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] bande infrarouge [Termes IGN] charbon [Termes IGN] exitance spectrale [Termes IGN] image Landsat-TM [Termes IGN] impact sur l'environnement [Termes IGN] incendie [Termes IGN] Inde [Termes IGN] pollution atmosphérique [Termes IGN] rayonnement infrarouge thermique [Termes IGN] température de surface Résumé : (Auteur) Coal fire has been found to be a serious problem worldwide in coal mining processes. Coal fire burns valuable coal reserve and prevents access to proven reserve in the affected area. Moreover, it leads to severe environmental degradation of the region by an overall increase of the ambient atmospheric temperature, by the emission of obnoxious gases (e.g., SO2, NO, CO, CH4) along fissures and cracks and by causing land subsidence and collapse. Jharia Coalfield, Jharkhand, India, is known for being the exclusive storehouse of prime coking coal as well as for hosting the maximum number of known coal fires among all the coalfields in the country. In this paper, some of the important issues of coal fire mapping from satellite thermal IR data have been addressed in particular reference to Jharia Coalfield. Namely, these are: retrieval of true spectral radiance from raw digital data using scene-specific calibration coefficients of the detectors, thermal emissivity of surface materials to obtain kinetic temperature at each ground resolution cell of satellite data, field-based modelling of pixel-integrated temperature for differentiating surface and subsurface fire pixels in Landsat TM thermal IR data, identification of surface coal fire locations from reflected IR data and lateral propagation of coal fire. Copyright ISPRS Numéro de notice : A2006-144 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1016/j.isprsjprs.2005.12.002 En ligne : https://doi.org/10.1016/j.isprsjprs.2005.12.002 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=27871 [article]

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