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Bhubaneshwar, India

Kumar T.,Space Applications Center | Panigrahy S.,Space Applications Center | Kumar P.,Odisha Space Applications Center | Parihar J.S.,Space Applications Center
Journal of Coastal Conservation | Year: 2013

The aim of the present work is to unveil the potential of some of the unexplored remote sensing techniques for mangrove studies. The paper deals with the classification of an Earth Observing-1 Hyperion image of the mangrove area of Bhitarkanika National Park, Odisha, India into mangrove floristic composition classes. Out of 196 calibrated bands of the image, 56 were found to be highly uncorrelated and contained maximum information; therefore, these 56 bands were used for classification. Amongst the three full-pixel classifiers tested in the investigation, Support Vector Machine produced the best results in terms of training pixel accuracy with overall precision of 96. 85 %, in comparison to about 70-72. 0 % for the other two classifiers. A total of five mangrove classes were obtained - pure or dominant class of Heritiera fomes, mixed class of H. fomes, mixed Excoecaria agallocha with Avicennia officinalis, mixed class of fringing Sonneratia apetala and class comprising of mangrove associates with salt resistant grasses. Post-classification field data also established the same. Pure or dominant classes of H. fomes occupied more than 50 % of the total mangrove vegetation in the forest blocks of the National Park. Spectral profile matching of image pixels with that of in-situ collected canopy reflectance profile revealed good match for H. fomes (pure or dominant stands). Red-edge index, which was a preferred criterion for matching was notably correlated in case of H. fomes and E. agallocha. The outcomes indicated the efficacy of hyperspectral canopy reflectance library for such kind of work. It is hoped that the methodology presented in this paper will prove to be useful and may be followed for producing mangrove floristic maps at finer levels. © 2012 Springer Science+Business Media Dordrecht. Source


Parida P.K.,Odisha Space Applications Center | Sanabada M.K.,Odisha Space Applications Center | Tripathi S.,Odisha Space Applications Center
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2014

Advancements in satellite sensor technology enabling capturing of geometrically accurate images of earth's surface coupled with DGPS/ETS and GIS technology holds the capability of large scale mapping of land resources at cadastral level. High Resolution Satellite Images depict field bunds distinctly. Thus plot parcels are to be delineated from cloud free ortho-images and obscured/difficult areas are to be surveyed using DGPS and ETS. The vector datasets thus derived through RS/DGPS/ETS survey are to be integrated in GIS environment to generate the base cadastral vector datasets for further settlement/title confirmation activities. The objective of this paper is to illustrate the efficacy of a hybrid methodology employed in Pitambarpur Sasana village under Digapahandi Tahasil of Ganjam district, as a pilot project, particularly in Odisha scenario where the land parcel size is very small. One of the significant observations of the study is matching of Cadastral map area i.e. 315.454 Acres, the image map area i.e. 314.887 Acres and RoR area i.e. 313.815 Acre. It was revealed that 79% of plots derived by high-tech survey method show acceptable level of accuracy despite the fact that the mode of area measurement by ground and automated method has significant variability. The variations are more in case of Government lands, Temple/Trust lands, Common Property Resources and plots near to river/nalas etc. The study indicates that the adopted technology can be extended to other districts and cadastral resurvey and updating work can be done for larger areas of the country using this methodology. Source


Kumar P.,Odisha Space Applications Center | Dash S.K.,Odisha Space Applications Center | Thakur R.R.,Odisha Space Applications Center | Jonna S.,Indian National Remote Sensing Centre | Tripathi S.,Odisha Space Applications Center
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives | Year: 2014

The state government is now focusing on decentralized planning and created administrative infrastructure for Gram Panchayat (Village Community) level planning in participatory way. The people are now opening up and started taking part in planning process at grass root level. In order to involve the people and make planning exercise more effective, National Remote Sensing Centre(ISRO), Dept. of Space(DOS) have begun activities using GIS and Communication Technology(Geo-Ict). Considering the potential of Geo-Ict a project titled "Space Based Information Support for Decentralized Planning (SIS-DP)" was launched by NRSC/ISRO under PC-NNRMS, DOS, Govt. of India. Odisha Space Applications Centre as a partner institution, have ful-filled the commitment of generating thematic information on 1:10K from High resolution satellite data (Ortho-Rectified Cartosat-1 & LISS-IV data) for the state of Odisha. Thematic information on Land use, Settlements, Infrastructure and drainage have been generated and started dissemination to the users. The attribute information available from line department have also been linked to spatial framework of the SIS-DP layers. In the present study Bolangir, a drought prone and backward district is taken up. Total 285 thematic maps have been prepared at Gram Panchayat level keeping a buffer of 1.5k.m to locally adjust any discrepancies in the boundary. User workshop and awareness campaigns were conducted and feed backs have been collected on Land Utilization Types (LUT). It is felt that extension of these services to the entire State have a strong bearing on improved strategy and planning process by the State. Source

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