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Advanced studies in strip pair processing of Cartosat-1 data / P.K. Srivastava in Photogrammetric record, vol 23 n° 123 (September - November 2008)  

Public [article]  inPhotogrammetric record > vol 23 n° 123 (September - November 2008) . - pp 289 - 304 Titre : Advanced studies in strip pair processing of Cartosat-1 data Type de document : Article/Communication Auteurs : P.K. Srivastava, Auteur ; T. Srinivasan, Auteur ; Amit Gupta, Auteur ; et al., Auteur Année de publication : 2008 Conférence : ISPRS 2007, High-Resolution Earth Imaging for Geospatial Information workshop 29/05/2007 01/06/2007 Hanovre Allemagne Article en page(s) : pp 289 - 304 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Photogrammétrie spatiale [Termes IGN] compensation par bloc [Termes IGN] image Cartosat-1 [Termes IGN] modèle numérique de surface [Termes IGN] orthoimage [Termes IGN] point d'appui [Termes IGN] qualité d'image [Termes IGN] restauration d'image [Termes IGN] spatiotriangulation [Termes IGN] tâche image d'un point [Termes IGN] variabilité Résumé : (Auteur) With the launch of the Indian remote sensing satellite Cartosat-1, an along-track stereoscopic imaging mission of the Indian Space Research Organisation (ISRO), new possibilities for operational availability of high-resolution stereo-imagery from space for the remote sensing and cartography user communities have emerged. The high-resolution stereo data beamed from twin cameras on board the Cartosat-1 mission facilitates topographic mapping up to 1:25 000 scale. The primary advantage of the Cartosat-1 mission is seen in the generation of digital elevation models (DEMs) and the production of ortho-images in an operational set-up. This also facilitates 3D terrain visualisation for very large tracts of land. Stereo Strip Triangulation (SST) is a software system developed and perfected at the Space Applications Centre of ISRO for operational generation of secondary control and appropriate DEMs for subsequent use in the generation of ortho-images. This system has been in use for almost 2 years at the National Remote Sensing Agency in Hyderabad, India, and has generated a wealth of data for use in topographic mapping. An initiative to generate a database of seamless, homogeneous DEMs and associated ortho-image tiles at country level has been undertaken by ISRO. This data-set has been named CartoDEM. The Cartosat-1 data processing team has completed the design and testing of software for the generation of the CartoDEM. This software system has undergone detailed evaluation and currently is in the final stage of development of the operational procedures required to make maximum use of the capabilities of the Cartosat-1 sensors. A data dissemination software system is currently under development. As part of the large-scale evaluation exercises to finalise the specifications of CartoDEM, it is established that with the 2·5 m ground resolution, a base-to-height ratio of 0·62 and with capability to register conjugate points in the stereopair to sub-pixel level, DEMs can be generated at 0·3 arc second intervals, with a height accuracy of 3 to 4 m, over tracts of undulating land mass up to 15 000 km2 with the use of 10 to 20 ground control points. The Cartosat-1 data processing and evaluation team regularly monitors the radiometric quality of images. As part of the radiometric characterisation of sensors, the team computed point spread functions (PSFs) for the two cameras of Cartosat-1. Special filters based on the PSFs then work to improve the radiometric quality of the images. Initial results from these exercises show good promise in image restoration based on PSFs for Cartosat-1. This paper presents a summary of activities and exercises related to (i) Stereo Strip Triangulation, (ii) CartoDEM, (iii) image quality improvement using the PSF-based image restoration and (iv) block adjustment exercises using a COTS software package. Also reported are the results of post-launch experiments, study and evaluation of DEMs vis-à-vis ortho-images from Cartosat-1. Copyright RS&PS + Blackwell Publishing Numéro de notice : A2008-394 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1111/j.1477-9730.2008.00491.x En ligne : https://doi.org/10.1111/j.1477-9730.2008.00491.x Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=29387 [article]

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Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain / P.K. Srivastava in International Journal of Remote Sensing IJRS, vol 27 n°18 - 19 - 20 (October 2006)  

Public [article]  inInternational Journal of Remote Sensing IJRS > vol 27 n°18 - 19 - 20 (October 2006) . - pp 4599 - 4620 Titre : Groundwater assessment through an integrated approach using remote sensing, GIS and resistivity techniques: a case study from a hard rock terrain Type de document : Article/Communication Auteurs : P.K. Srivastava, Auteur ; A.K. Bhattacharya, Auteur Année de publication : 2006 Article en page(s) : pp 4599 - 4620 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Applications de télédétection [Termes IGN] eau souterraine [Termes IGN] ERDAS Imagine [Termes IGN] géomorphologie locale [Termes IGN] gradient de pente [Termes IGN] hydrogéologie [Termes IGN] image IRS-LISS [Termes IGN] image Landsat-ETM+ [Termes IGN] image Landsat-TM [Termes IGN] Inde [Termes IGN] MNS SRTM [Termes IGN] modèle numérique de surface [Termes IGN] système d'information géographique Résumé : (Auteur) Satellite data have been widely used in conjunction with Geographic Information System (GIS) techniques in groundwater resource management. Satellite data are useful for extracting various thematic maps required for groundwater assessment. In this study, Indian Remote Sensing (IRS) 1D LISS III and Landsat Thematic Mapper (TM)/Enhanced TM (ETM+) digital data, and digital elevation models (DEMs) from the Shuttle Radar Topography Mission (SRTM) along with other collateral data were analysed to create various thematic maps (geomorphology, landuse, lithology, lineament, soil, drainage density, river gradient and slope maps) required for groundwater modelling in a hard rock terrain of Bargarh district, Orissa, India. These thematic maps were assigned suitable weights and different rankings to the individual classes within each thematic map using Saaty's Analytical Hierarchy Process (AHP). A raster-based empirical GIS model was developed for integrating the thematic maps to locate suitable groundwater prospective zones. The integrated thematic maps were in turn used to compute the Groundwater Potential Index (GWPI). GWPI values calculated in the study area were found to vary from 0.175 to 0.940. These GWPI values have been classified into various classes: very poor (0.8). A final map showing very poor to excellent groundwater prospective zones was prepared. The results thus obtained were subsequently cross-checked with resistivity survey and pumping test data. Very poor GWPI zones show low yields of 0.5 lps from weathered granite of resistivity 20–100 ? m and thickness 0.5–6 m, while excellent GWPI zones show high yields of 5–7 lps from highly fractured granite of resistivity 100–300 ? m and thickness 14–31 m. The results obtained from integration of the various thematic maps on the GIS platform produced a good match with the resistivity and pumping test data. Copyright Taylor & Francis Numéro de notice : A2006-470 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/01431160600554983 En ligne : https://doi.org/10.1080/01431160600554983 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=28194 [article]

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