Comparative Study of Cartosat-DEM and SRTM-DEM on Elevation Data and Terrain Elements

2015 ◽  
Vol 4 (1) ◽  
pp. 1361-1366 ◽  
Author(s):  
Gajalakshmi K. ◽  
◽  
Anantharama V. ◽  
2012 ◽  
Vol 241-244 ◽  
pp. 342-346
Author(s):  
Shun Bao Liao

It was concluded by comparison of 60 sites of elevation data from SRTM-DEM and field measuring in Qinling-Dabashan area that there was a close correlation between them with a correlation coefficient of r2=0.9989 and a mean error of 18.22 meters. It was demonstrated that SRTM-DEM could present undulating terrain better in the region. The errors of SRTM-DEM in the region have nothing to do with slope, degree of shelter or terrain fragmentation. They belong to accidental errors but not systematic errors.


2009 ◽  
Vol 21 ◽  
pp. 81-84 ◽  
Author(s):  
G. Petersen ◽  
I. Lebed ◽  
N. Fohrer

Abstract. The SRTM DEM, a digital elevation model based on the Shuttle Radar Topography Mission of February 2000 is a source of elevation data with nearly worldwide coverage. It has proven its usefulness in various regions but problems persist for densely vegetated areas where, caused by the organic matter and water content of the vegetation, the radar signal is reflected at some level between the vegetation canopy and the ground level. This level varies with different types and densities of vegetation cover and has so far not been assessed for papyrus areas. The paper describes the approach and establishment of a correction factor for a pilot area in the Sudd swamps of southern Sudan based on comparison of SRTM reference levels and ground control points collected during field surveys between 2004 and 2006. Results show a correction factor between the sensed and the real surface of 4.66 m and a average penetration depth of the radar signal into the dense papyrus vegetation of 0.34 m.


2021 ◽  
Author(s):  
Er. Hirapara Paras ◽  
Parmar Sanjay ◽  
Ram Vaibhav

Watershed morphological analysis is momentous for controlling floods risk, forethought and management of the watershed area, as well as it is foremost useful to perceive catchment hydrology. Remote sensing and geographic information system are used in recent times as a tool for watershed delineation and its planning. Many types of input parameters generally use for watershed delineation such as Toposheet, ALOS, SRTM DEM, ASTER DEM and CARTOSAT DEM. Based on analysis SRTM DEM gives meticulous and clear results compared to other DEM files. Morphometric based prioritization of watershed was given in many research papers but an appropriate result of priority range was not given and this type of study confusing to evaluate the rank of priority based on its erosional behaviour. In many papers results of morphometric parameters were not indicate how to retaliate these results of morphometric parameters to a watershed. This paper deals with the implication of different values of morphometric parameters with adequate contextual information. This review paper can give useful information for the morphometric analysis of watersheds.


2008 ◽  
Vol 29 (1) ◽  
pp. 121-126 ◽  
Author(s):  
Eduardo García-Meléndez ◽  
Raquel Ribeiro ◽  
José Carlos Brito ◽  
Neftalí Sillero

Abstract Altitude is an important factor when explaining species distributions. However, many biogeographical studies register altitude directly through topographic maps; a time-consuming manual process prone to mistakes. Currently, GIS and DEMs allow this work to be done more efficiently. Two methods for registering altitude for locations of amphibians and reptiles in the Iberian Peninsula were compared in order to evaluate their efficiency and similarity: manually through topographic maps, and automatically with a GIS, where two DEMs were analysed: the SRTM DEM and a DEM generated through topographic maps. The SRTM altitudes were similar to those recorded by the manual method (only Rana perezi presented differences), whereas the other DEM had differences in almost all amphibians and three reptiles. The differences between both DEMs corresponded mostly to rivers and band effect of radar sensor. The GIS method was faster, efficient and no time was consumed in searching and correcting human errors.


2012 ◽  
Vol 40 (1) ◽  
pp. 55
Author(s):  
P. Wickramagamage ◽  
Nalin Wickramanayake ◽  
Kumuduni Kumarihamy ◽  
Evon Vidanapathirana ◽  
Magnus Larson

2020 ◽  
Author(s):  
Bruno Oliveira Ferreira de Souza ◽  
Éve‐Marie Frigon ◽  
Robert Tremblay‐Laliberté ◽  
Christian Casanova ◽  
Denis Boire

2001 ◽  
Vol 268 (6) ◽  
pp. 1739-1748
Author(s):  
Aitor Hierro ◽  
Jesus M. Arizmendi ◽  
Javier De Las Rivas ◽  
M. Angeles Urbaneja ◽  
Adelina Prado ◽  
...  

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