XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

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Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/5: Energy and Solid Earth]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: IDENTIFICATION OF GEOMORPHIC SIGNATURES OF NEOTECTONIC ACTIVITY USING DEM IN THE PRECAMBRIAN TERRAIN OF WESTERN GHATS, INDIA K. S. Jayappa, Vipin Joseph Markose, Nagaraju M.

Document type:: Multivolume work

Structure type:: Chapter

regenerativer Dissertation, ulation and r]. Stuttgart : & Eicker, U., 1 Analysis of er Park, ISES g Our Future. Research e.K. Dec. 2010) ( "Germany's 0.html — (29 IDENTIFICATION OF GEOMORPHIC SIGNATURES OF NEOTECTONIC ACTIVITY USING DEM IN THE PRECAMBRIAN TERRAIN OF WESTERN GHATS, INDIA K. S. Jayappa *, Vipin Joseph Markose, Nagaraju M. Dept. of Marine Geology, Mangalore University Mangalagangothri, Karnataka, India — 574 199 ksjayappa@yahoo.com Working Group VIII/S KEY WORDS: DEM, Geomorphology, GIS, Identification, Geology, Stream length gradient (SL) index ABSTRACT: To assess the relative tectonic activity classes, five geomorphic indices such as stream-gradient index (SL), drainage basin asymmetry (Af), hypsometric integral (Hi), valley floor width — valley height ratio (Vf) and drainage basin shape (Bs) of ninety- four sub-basins of Valapattanam river basin have been analysed by applying the standard formulae. Relative tectonic activity classes (lat) obtained by the average (S/n) of different classes of geomorphic indices have been classified into three groups. Group I shows high tectonic activity with values of S/n < 2; group II shows moderate tectonic activity with S/n > 2 to < 2.5; and group III shows low tectonic activity with values of S/n > 2.5. Field evidences such as deep valleys, sudden changes in the river course and waterfalls at fault planes clearly agree with the values and classes of tectonic geomorphic indices. 1. INTRODICTION Digital Elevation Model (DEM) supported morphometric analysis of landscape represents an active field of research in many geomorphological applications which aim to model surface processes. Landscapes in tectonically active areas result from a complex integration of the effects of vertical and horizontal motions of crustal blocks and erosion or deposition by surface processes (Burbank and Anderson, 2001). As a consequence, geomorphic investigation in regions of active tectonics is a powerful tool for studies of tectonic geomorphology (Azor et al., 2002). Significant improvement in spatial and spectral resolutions of satellite data, image processing techniques and advancement in computing resources have enabled the geomorphologists to carry out more quantitative and precise analysis of morphometric, morphotectonic and geomorphic indices. In recent studies related to morphotectonics, a mixture of geomorphologic and morphometric analyses of landforms and topographic analyses are utilized to obtain active tectonics (Della Seta et al., 2008). Perez-Pena et al. (2010) have used geomorphic indices and drainage pattern analysis for evaluating the Quaternary tectonic activity in the Sierra Nevada mountain range of SE Spain. Geomorphic indices computed by using GIS, are used for evaluating the geomorphic anomalies and tectonic activity (Dehbozorgi et al, 2010). Font et al. (2010) have used SL analysis for detecting the impact of differential uplift on drainage systems using DEM to understand landforms in relation to the tectonics of Normandy intra plate area of NW France. The objective of the preset study is to analyze various geomorphic indices and their influence on neotectonic activity of the Valapattanam river basin using SRTM DEM in GIS environment. 2. STUDY AREA The Valapattanam river basin extending from 14°59°49.46” to 15712°58.85” N latitudes and 74°17°2.32” to 74°36’46.35” E * Corresponding author. longitudes in Kannur district of northern Kerala, India forms the study area (Figure 1). Valapattanam river originates in the Brahmagiri Ghat reserve forest in Karnataka at an altitude of 900- 1350 m above mean sea level and drains into Kannur district of Kerala state. Major tributaries of this river are the Sreekantapuram river, Bavalipuzha, Venipuzha, and Aralam puzha. The total drainage area of this river basin is 1867 sq.km., of which 546 sq.km is outside the Kerala state. The basin is nearly level surface near the coast, undulating in the midland and steep sided hills and mountain in the east. The basin forms the Pre-Cambrian terrains of southern India occupied by hornbInde- biotite gneisses and hornblende diopside granulite which constitute the litho-units of migmatite complex. 3. METHDOLOGY SRTM images were downloaded from GLCF website (http://glcfumiacs.umd.edu) is used to extract the drainage networks and sub-basins of the area. After creating the DEM, errors such as sinks and peaks were removed using ‘fill sinks’ option available in ArcGIS hydro tools and created a Hydro DEM. Flow direction i.e. the direction in which water will flow out of the pixel to the eight surrounding pixels (Fairfield and Leymarie, 1991) was calculated for each pixel using the Hydro DEM as an input. In order to generate a drainage network, it is necessary to determine the ultimate flow path of every cell on the landscape grid. Flow accumulation was used to generate a drainage network, based on the direction of flow of each cell. The Stream Definition function takes a flow accumulation grid as input and creates a Stream Grid for a user defined threshold of 50. This threshold value represents the minimum upstream drainage area (threshold area) necessary to maintain a stream. Using smaller threshold value will include more tributaries in stream networks than using a larger threshold value. The stream grid will have a value of ‘“1’’ for all the cells in the input grid that have a value greater than the given threshold. All other cells in the Stream Grid contain no data. Stream links, where streams join together, were calculated using stream segmentation

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