Validation of Indian National DEM from Cartosat-1 Data

Muralikrishnan, S.; Pillai, A. M. G.; Narender, B.; Reddy, Shashivardhan; Venkataraman, V.; Dadhwal, V. K.

doi:10.1007/s12524-012-0212-9

Cited by 70 publications

(23 citation statements)

References 8 publications

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“…The results qualify Indian DEM for using it operationally which is equivalent and better than the other publicly available DEMs like SRTM and ASTERDEM (Muralikrishnan et al 2013). Strahler (1952) interpreted the shapes of the hypsometric curves by analyzing numerous drainage basins and classified the basins as young (convex upward curves), mature (S-shaped hypsometric curves which is concave upwards at high elevations and convex downwards at low elevations) and peneplain or distorted (concave upward curves).…”

Section: Introductionmentioning

confidence: 80%

“…Cartosat-1 stereo datasets are proved in high accuracy compared to SRTM and ASTERDEM (Muralikrishnan et al 2013) and tile extent/spatial extent of 1°9 1°from X in 77-78 E and Y in 13-14 N is used to achieve drainage network. The extracted stream network, slope, drainage density, and basin are projected to the regional projection (WGS_1984_UTM_Zone_43 N).…”

Section: Materials and Methodologymentioning

confidence: 99%

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Evaluation of morphometric parameters derived from Cartosat-1 DEM using remote sensing and GIS techniques for Budigere Amanikere watershed, Dakshina Pinakini Basin, Karnataka, India

Dikpal

Prasad

Satish³

2017

Appl Water Sci

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The quantitative analysis of drainage system is an important aspect of characterization of watersheds. Using watershed as a basin unit in morphometric analysis is the most logical choice because all hydrological and geomorphic processes occur within the watershed. The Budigere Amanikere watershed a tributary of Dakshina Pinakini River has been selected for case illustration. Geoinformatics module consisting of ArcGIS 10.3v and Cartosat-1 Digital Elevation Model (DEM) version 1 of resolution 1 arc Sec (*32 m) data obtained from Bhuvan is effectively used. Sheet and gully erosion are identified in parts of the study area. Slope in the watershed indicating moderate to least runoff and negligible soil loss condition. Third and fourth-order sub-watershed analysis is carried out. Mean bifurcation ratio (R b ) 3.6 specify there is no dominant influence of geology and structures, low drainage density (D d ) 1.12 and low stream frequency (F s ) 1.17 implies highly infiltration subsoil material and low runoff, infiltration number (I f )1.3 implies higher infiltration capacity, coarse drainage texture (T) 3.40 shows high permeable subsoil, length of overland flow (L g ) 0.45 indicates under very less structural disturbances, less runoff conditions, constant of channel maintenance (C) 0.9 indicates higher permeability of subsoil, elongation ratio (R e ) 0.58, circularity ratio (R c ) 0.75 and form factor (R f ) 0.26 signifies sub-circular to more elongated basin with high infiltration with low runoff. It was observed from the hypsometric curves and hypsometric integral values of the watershed along with their sub basins that the drainage system is attaining a mature stage of geomorphic development. Additionally, Hypsometric curve and hypsometric integral value proves that the infiltration capacity is high as well as runoff is low in the watershed. Thus, these mormometric analyses can be used as an estimator of erosion status of watersheds leading to prioritization for taking up soil and water conservation measures.Keywords Morphometry Á Cartosat-1DEM Á Budigere Amanikere watershed Á Dakshina Pinakini Á Hypsometric curve and hypsometric integral and RS and GIS

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Section: Introductionmentioning

confidence: 80%

Section: Materials and Methodologymentioning

confidence: 99%

Evaluation of morphometric parameters derived from Cartosat-1 DEM using remote sensing and GIS techniques for Budigere Amanikere watershed, Dakshina Pinakini Basin, Karnataka, India

Dikpal

Prasad

Satish³

2017

Appl Water Sci

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“…The historical data set used for the study is Hexagon KH9 stereo pair from the mapping camera with a spatial resolution of 20 feet and acquired on 19 November 1973. The reference data includes CartoDEM with 10 m spacing (Muralikrishnan et al, 2013) for height control and Cartosat-1 orthoimages with a spatial resolution of 2.5 m for planimetric control in photogrammetric processing of Hexagon data. This reference data was generated from Cartosat-1 stereo pairs acquired in the month of December 2011.…”

Section: Study Area and Data Usedmentioning

confidence: 99%

Photogrammetric processing of hexagon stereo data for change detection studies

Padmanabha

Reddy

Narender

et al. 2014

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Hexagon satellite data acquired as a part of USA Corona program has been declassified and is accessible to general public. This image data was acquired in high resolution much before the launch of civilian satellites. However the non availability of interior and exterior orientation parameters is the main bottle neck in photogrammetric processing of this data. In the present study, an attempt was made to orient and adjust Hexagon stereo pair through Rigorous Sensor Model (RSM) and Rational Function Models (RFM). The study area is part of Western Ghats in India. For rigorous sensor modelling an arbitrary camera file is generated based on the information available in the literature and few assumptions. A terrain dependent RFM was generated for the stereo data using Cartosat-1 reference data. The model accuracy achieved for both RSM and RFM was better than one pixel. DEM and orthoimage were generated with a spacing of 50 m and Ground Sampling Distance (GSD) of 6 m to carry out the change detection with a special emphasis on water bodies with reference to recent Cartosat-1 data. About 72 new water bodies covering an area of 2300 hectares (23 sq. km) were identified in Cartosat-1 orthoimage that were not present in Hexagon data. The image data from various Corona programs like Hexagon provide a rich source of information for temporal studies. However photogrammetric processing of the data is a bit tedious due to lack of information about internal sensor geometry.

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“…By using a three-linear-array of stereo cameras, the Japanese advanced land observation satellite (ALOS) satellite can implement global mapping with planimetric and vertical accuracies, reaching 8 and 10 m, respectively, without GCPs [3][4][5]. The Indian Cartosat stereo satellite can achieve 7.3 and 4.7 m planimetric and vertical accuracy, respectively, without GCPs, which satisfies the requirements of 1:50,000 mapping [6]. The satellites of the IKONOS and Worldview series, launched by the United States, can achieve stereo mapping with an accuracy of around 10 m, again without the use of GCPs.…”

Section: Introductionmentioning

confidence: 99%

Vertical Accuracy Simulation of Stereo Mapping Using a Small Matrix Charge-Coupled Device

2017

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At present, without ground control points (GCPs), the positioning accuracy of remote sensing images often fails to meet the growing requirements for mapping accuracy. Multi-load synergy to improve accuracy without GCPs by eliminating the impact of stereo accuracy, which is caused by on-orbit measurement error, is urgently needed to improve large-scale mapping. In this study, we analyzed error sources in stereo imaging mode and found that vertical accuracy depends on the relative accuracy of attitude during symmetric stereoscopic mapping. With the assistance of small matrix charge-coupled device (CCD) images and the block adjustment method, relative accuracy of attitude was improved, allowing for the improvement in vertical accuracy without GCPs. The simulation results show that vertical accuracy in symmetric stereo mode is not affected by attitude system error. After the restoration of imaging attitude processed by a sequence of matrix CCD images, the relative accuracy of the attitude increased, and the accuracy of the elevation without GCPs improved significantly. The results demonstrate the feasibility of small matrix CCD-assisted stereo mapping.

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Validation of Indian National DEM from Cartosat-1 Data

Cited by 70 publications

References 8 publications

Evaluation of morphometric parameters derived from Cartosat-1 DEM using remote sensing and GIS techniques for Budigere Amanikere watershed, Dakshina Pinakini Basin, Karnataka, India

Evaluation of morphometric parameters derived from Cartosat-1 DEM using remote sensing and GIS techniques for Budigere Amanikere watershed, Dakshina Pinakini Basin, Karnataka, India

Photogrammetric processing of hexagon stereo data for change detection studies

Vertical Accuracy Simulation of Stereo Mapping Using a Small Matrix Charge-Coupled Device

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