New Era of Cartosat Satellites for Large Scale Mapping
Important considerations for large scale mapping from satellite images are information content and geometric fidelity. Cartosat series of satellites with stereo mapping capability have become the mainstay towards large scale mapping for urban and rural applications. Algorithms for processing of high...
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| Veröffentlicht in: | Photogrammetric engineering and remote sensing 2010-09, Vol.76 (9), p.1031-1040 |
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| creator | Radhadevi, P.V. Solanki, S.S. Nagasubramanian, V. Mahapatra, Archana Reddy, D. Sudheer Jyothi, M.V. Sumanth, Krishna Saibaba, J. Varadan, Geeta |
| description | Important considerations for large scale mapping from satellite images are information content and geometric fidelity. Cartosat series of satellites with stereo mapping capability have become the mainstay towards large scale mapping for urban and rural applications. Algorithms for
processing of high-resolution Indian remote sensing satellite data has been developed at ADRIN and is used for operational generation of data products. Variations in the sensor model with respect to the viewing geometries of Cartosat-1 and Cartosat-2 are explained in the paper. Finally, an
assessment of the mapping potential of the satellites is discussed. The geometric accuracy achieved from Cartosat-1 and Cartosat-2 images over the same checkpoints are compared. DEM, geometric accuracy, and capability for topographic feature capture are good enough for making 1:10 000 and
1:7 000 scale maps from Cartosat-1 and Cartosat-2, respectively. Based on the error estimation and analysis, it is concluded that if the strict photogrammetric processing model and ground control points are employed, high-resolution satellite imagery can be used for the generation and update
of topographic maps of scale 1:10 000 and larger. |
| doi_str_mv | 10.14358/PERS.76.9.1031 |
| format | Article |
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processing of high-resolution Indian remote sensing satellite data has been developed at ADRIN and is used for operational generation of data products. Variations in the sensor model with respect to the viewing geometries of Cartosat-1 and Cartosat-2 are explained in the paper. Finally, an
assessment of the mapping potential of the satellites is discussed. The geometric accuracy achieved from Cartosat-1 and Cartosat-2 images over the same checkpoints are compared. DEM, geometric accuracy, and capability for topographic feature capture are good enough for making 1:10 000 and
1:7 000 scale maps from Cartosat-1 and Cartosat-2, respectively. Based on the error estimation and analysis, it is concluded that if the strict photogrammetric processing model and ground control points are employed, high-resolution satellite imagery can be used for the generation and update
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processing of high-resolution Indian remote sensing satellite data has been developed at ADRIN and is used for operational generation of data products. Variations in the sensor model with respect to the viewing geometries of Cartosat-1 and Cartosat-2 are explained in the paper. Finally, an
assessment of the mapping potential of the satellites is discussed. The geometric accuracy achieved from Cartosat-1 and Cartosat-2 images over the same checkpoints are compared. DEM, geometric accuracy, and capability for topographic feature capture are good enough for making 1:10 000 and
1:7 000 scale maps from Cartosat-1 and Cartosat-2, respectively. Based on the error estimation and analysis, it is concluded that if the strict photogrammetric processing model and ground control points are employed, high-resolution satellite imagery can be used for the generation and update
of topographic maps of scale 1:10 000 and larger.</description><subject>Applied geophysics</subject><subject>Areal geology</subject><subject>Areal geology. Maps</subject><subject>Assessments</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Geologic maps, cartography</subject><subject>Geometric accuracy</subject><subject>Grounds</subject><subject>Indian</subject><subject>Internal geophysics</subject><subject>Mapping</subject><subject>Remote sensing</subject><subject>Satellites</subject><issn>0099-1112</issn><issn>2374-8079</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp1Uctu2zAQJIoGqJv03KsuRU5y-JBE8pgY7gNwmiBOz4s1H4YMWVJIOkHz9aViI7fysNzDzOzOLCFfGZ2zStTq6n75sJ7LZq7njAr2gcy4kFWpqNQfyYxSrUvGGP9EPse4oxlRMzkjzW_3UiwDFoMvFhjSEDEVa0yu69rkYuGHUKwwbF2xNti54hbHse23F-TMYxfdl9N_Tv58Xz4ufparux-_Fter0lSyTiWzygqsReWwEnZj0dvKs8poqygabp2tfUZwo2vdsI2zG26MQYcbToVCI87J5VF3DMPTwcUE-zaavBz2bjhEUHUjldBUZeTVEWnCEGNwHsbQ7jH8BUbhLSCYAgLZgIYpoMz4dtLGmL35gL1p4zuNCya5bkTG3Rxx2bfrE8JuOIQ-uwaMY8gElwuneQx9e3nCsaEacqJTM4nc_UekNSed6UTTheBZNr3OipxRxfPyvNJgncdDlyBhgO0rRCH-AfnEldA</recordid><startdate>20100901</startdate><enddate>20100901</enddate><creator>Radhadevi, P.V.</creator><creator>Solanki, S.S.</creator><creator>Nagasubramanian, V.</creator><creator>Mahapatra, Archana</creator><creator>Reddy, D. Sudheer</creator><creator>Jyothi, M.V.</creator><creator>Sumanth, Krishna</creator><creator>Saibaba, J.</creator><creator>Varadan, Geeta</creator><general>American Society for Photogrammetry and Remote Sensing</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>8FD</scope><scope>FR3</scope><scope>H8D</scope><scope>KR7</scope><scope>L7M</scope></search><sort><creationdate>20100901</creationdate><title>New Era of Cartosat Satellites for Large Scale Mapping</title><author>Radhadevi, P.V. ; Solanki, S.S. ; Nagasubramanian, V. ; Mahapatra, Archana ; Reddy, D. Sudheer ; Jyothi, M.V. ; Sumanth, Krishna ; Saibaba, J. ; Varadan, Geeta</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c475t-1d8d3a534ea43dbdafd4f14c9d80ac2ded5f8d32c95961bedb2cccaeab2038ac3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Applied geophysics</topic><topic>Areal geology</topic><topic>Areal geology. Maps</topic><topic>Assessments</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Geologic maps, cartography</topic><topic>Geometric accuracy</topic><topic>Grounds</topic><topic>Indian</topic><topic>Internal geophysics</topic><topic>Mapping</topic><topic>Remote sensing</topic><topic>Satellites</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Radhadevi, P.V.</creatorcontrib><creatorcontrib>Solanki, S.S.</creatorcontrib><creatorcontrib>Nagasubramanian, V.</creatorcontrib><creatorcontrib>Mahapatra, Archana</creatorcontrib><creatorcontrib>Reddy, D. Sudheer</creatorcontrib><creatorcontrib>Jyothi, M.V.</creatorcontrib><creatorcontrib>Sumanth, Krishna</creatorcontrib><creatorcontrib>Saibaba, J.</creatorcontrib><creatorcontrib>Varadan, Geeta</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Aerospace Database</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>Photogrammetric engineering and remote sensing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Radhadevi, P.V.</au><au>Solanki, S.S.</au><au>Nagasubramanian, V.</au><au>Mahapatra, Archana</au><au>Reddy, D. Sudheer</au><au>Jyothi, M.V.</au><au>Sumanth, Krishna</au><au>Saibaba, J.</au><au>Varadan, Geeta</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>New Era of Cartosat Satellites for Large Scale Mapping</atitle><jtitle>Photogrammetric engineering and remote sensing</jtitle><date>2010-09-01</date><risdate>2010</risdate><volume>76</volume><issue>9</issue><spage>1031</spage><epage>1040</epage><pages>1031-1040</pages><issn>0099-1112</issn><eissn>2374-8079</eissn><coden>PERSDV</coden><abstract>Important considerations for large scale mapping from satellite images are information content and geometric fidelity. Cartosat series of satellites with stereo mapping capability have become the mainstay towards large scale mapping for urban and rural applications. Algorithms for
processing of high-resolution Indian remote sensing satellite data has been developed at ADRIN and is used for operational generation of data products. Variations in the sensor model with respect to the viewing geometries of Cartosat-1 and Cartosat-2 are explained in the paper. Finally, an
assessment of the mapping potential of the satellites is discussed. The geometric accuracy achieved from Cartosat-1 and Cartosat-2 images over the same checkpoints are compared. DEM, geometric accuracy, and capability for topographic feature capture are good enough for making 1:10 000 and
1:7 000 scale maps from Cartosat-1 and Cartosat-2, respectively. Based on the error estimation and analysis, it is concluded that if the strict photogrammetric processing model and ground control points are employed, high-resolution satellite imagery can be used for the generation and update
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| issn | 0099-1112 2374-8079 |
| language | eng |
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| source | IngentaConnect; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals |
| subjects | Applied geophysics Areal geology Areal geology. Maps Assessments Earth sciences Earth, ocean, space Exact sciences and technology Geologic maps, cartography Geometric accuracy Grounds Indian Internal geophysics Mapping Remote sensing Satellites |
| title | New Era of Cartosat Satellites for Large Scale Mapping |
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