XXII ISPRS Congress 2012: Technical Commission VIII

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

Bibliographic data

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/8: Land]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: SEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS Sreenivasulu Vemu, Udaya Bhaskar Pinnamaneni

Document type:: Multivolume work

Structure type:: Chapter

2. STUDY AREA The Indravati is one of the northern tributaries of the Godavari in its lower reach. The Indravati catchment lies between latitudes 18 27' N to 20 41' N and longitudes 80° 05" E to 83° 07° E (Figure 1). The river Indravati rises at an altitude of about 914 m near Thuamal Rampur village in the Kalahandi district of Orissa on the western slopes of the Eastern Ghats and joins Godavari at an altitude of about 125 m. The main river flows for a length of about 477 Km. The Indravati basin with a catchment area of 41285 Km? constitutes 13.32 % of the total Godavari basin. The basin has high hills, deep valleys and large plateaus. The mean annual rainfall in of this area is about 1288 mm, most of which occurs between May and September. Average potential evaporation rates are 6.5 mm per day, while average minimum and maximum temperature are 13°C and 39 ‘C respectively. There are no major irrigation projects existing in the study area. The major land covers in the catchment are forest (68 %), followed by agriculture (22 96). Agriculture is the main occupation of the people in the area. Basin-sub basin map of India Godavari Basin XC NS 60 km Figure 1. Location map of Indravati Catchment 3. METHODOLOGY 3.1 Soil Erosion Model - USLE Techniques for prediction of soil loss have evolved over the years. The most widely used equation for soil loss prediction of the catchment is the Universal Soil Loss Equation (USLE). The USLE equation computes average annual soil loss (A) which is a product of five different factors that affect soil loss, and is given by: A-RKLSCP (1) International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August - 01 September 2012, Melbourne, Australia Where, À = average annual soil loss in tons per hectare, R = rainfall-runoff erosivity factor (MJ/ha.mm/h), K = soil erodibility factor (t.ha.h/ha/MJ/mm), LS = topographic or slope length/steepness factor, C = cover and cropping-management factor, P = supporting practices (land use) factor. All of the factors are dimensionless, with the exception of R and K. The preparation of spatial data base for this model is explained below. 3.1.1 Rainfall Erosivity Factor (R): The erosivity factor R is often determined from rainfall intensity if such data are available. In majority of cases rainfall intensity data are very rare, consequently attempts have been made to determine erosivity from daily rainfall data (Jain er al., 2001). In River Indravati catchment, no station has rainfall intensity data. Therefore R is determined using mean annual rainfall as recommended by Morgan and Davidson (1991). The expression is given below. R=P*05 Q) Where, P = mean annual rainfall in mm and R = rainfall erosivity factor in MJ/ha.mm/h. A 20-year time series of monthly girded average precipitation dataset from the Climatic Research Unit -Average Climatology 2.0 (CRU-CL 2.0) (http-//Www.cru.uea.ac.uk/cru/data/tmc.htm) from 1982 to 2002 is used in preparing R factor layer. Inverse distance method, which is very fast and efficient weighted average interpolation method in ILWIS, is used to show spatial distribution of mean R factor values in Indravati catchment. 3.1.2 Soil Erodibility Factor (K): The soil erodibility factor (K) represents both susceptibility of soil to erosion and the amount and rate of runoff, as measured under standard plot condition. In the study area no detailed soil map in the large scale is available. The soil map prepared by National Atlas and Thematic Mapping Organization, Department of Science and Technology, Government of India on 1: 2 Million scale is used to prepare K factor. 3.1.3 Slope length and steepness factor (LS): The topography affects the runoff characteristics and transport processes of sediment on a watershed scale. A 90 m resolution DEM from the Shuttle Radar Topography Mission (SRTM) is downloaded from ftp;//eOmss21u.ecs.nasa.gov/srtm/ , and gaps of no data is filled with coarser Gtopo 30 DEM (http/pdaac.usgs.gov/etopo30/hvdro/index.asp).This rectified 90 m resolution DEM is used to prepare the LS factor as discussed below. Slope Length Factor (L); Mc Cool et al. (1987) presented the following relationship to compute the slope length or L factor: L = (W22.1)" (3) where L = slope length factor; À = field slope length (m); m = dimensionless exponent that depends on slope steepness, being 0.5 for slopes exceeding 5 percent, 0.4 for 4 percent slopes and 0.3 for slopes less than 3 percent. A grid size of 100 m is used as field slope length (4). Similar assumption of field slope Inte length Fistik Slope the s] equati NN where The sl 3.1.4 C fac Lands http:;// is pos can b veget: values Soil B where NDVI to giv Pis suppo ratio « with s a very factor 325 The r syster that « water: Wher sedim water on s rough etc. S; area | differ at the and - reasoi Wher

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