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/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

IX-B8, 2012 n results. M-C project under 299. MODIS Land locument (Version :h, 2008. MOD09 Land Processes Department of Dakota School of DIS Reprojection a Shimoda, 2010. n using MODIS The 31th Asian im, pp.PS01-10-1- Fukue, 2011. LASSIFICATION ; PRODUCTS. In: Remote Sensing . GLOBAL LAND )DIS SURFACE The 32nd Asian _241 8-23-20-1-5. 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 SEDIMENT YIELD ESTIMATION AND PRIORITIZATION OF WATERSHED USING REMOTE SENSING AND GIS Sreenivasulu Vemu, Udaya Bhaskar Pinnamaneni Department of Civil Engineering, INT University, Kakinada, Andhra Pradesh, India-533003 vemusree @ gmail.com Commission VIII/8: Land KEYWORDS: Soil Erosion, USLE, Sediment yield, GIS, Remote sensing. ABSTRACT: Soil erosion is the greatest destroyer of land resources in Indravati catchment. It carries the highest amount of sediment compared to other catchment in India. This catchment spreading an area of 41,285 square km is drained by river Indravati, which is one of the northern tributaries of the river Godavari in its lower reach. In the present study, USLE is used to estimate sediment yield at the outlet of river Indravati catchment. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined. From the model output predictions, it is found that average erosion rate predicted is 18.00 tons/ha/year and sediment yield at the out let of the catchment is 22.31 Million tons per year. The predicted sediment yield verified with the observed data. The Indravathi basin is divided into 424 sub-watersheds and prioritization of all 424 sub-watersheds is carried out according to soil loss intensity for soil conservation purpose. Generated soil loss map will be useful to soil conservationist and decision makers for watershed management. Overall 19.71 % of the area is undergoing high erosion rates which are a major contributor to the sediment yield (78.04 %) in the catchment. This area represents high-priority area for management in order to reduce soil losses, which are mostly found in upstream of the catchment. It is indicated that the areas of high soil erosion can be accounted for in terms of steep unstable terrain, and the occurrence of highly erodible soils and low vegetation cover. 1. INTRODUCTION Land degradation due to water erosion and deterioration of water quality by point source and non-point source are some of the main problems in most of the watersheds in India. In addition to losses of soil, many other problems are created by soil erosion: siltation of reservoirs, canals and rivers; deposition of unfertile material on cultivated lands; harmful effects on water-supply, fishing, power generation; and destruction of fertile agricultural land. According to Ministry of Irrigation in India, as much as 175 Mha ie. 53 % of geographical area is subjected to serious environmental degradation. Nearly 60 % of the cultural area is suffering from the effects of erosion, taking the toll of the land at the rate of 5 to 7 Mha each year (Balakrishna, 1986). Study on global soil loss has indicated that soil loss rate in the U.S. is 16 t/ha/yr, in Europe it ranges between 10 — 20 t/ha/yr, while in Asia, Africa and South America, between 20 and 40 t/ha/yr (Pimentel et. al., 1993). In assessing soil erosion, researchers always confront with the problem of selecting the appropriate model to use in a given area (Meijerink and Lieshout 1996). It is always important to adopt a suitable model that can be applied to the critical conditions of an area (Chisci and Morgan 1988). Some models are area-specific and may not perform well in other areas, since they are designed with a specific application in mind (Shrestha 2000). Therefore, selection of a proper model suitable for an area should be the first step in erosion modeling. Numerous soil erosion models have been developed over the past 50 years, globally. All the erosion models are developed by taking the existing models into consideration. In a few instances, many significant components of existing models are incorporated to new models. The new model may be adapted to fit other application or to take advantage of new technologies. In either case the refinement of older models and the formulation of new models rely on the foundational physical process of soil erosion and the historical development of modeling efforts. The Universal Soil Loss Equation (USLE), in its original and modified forms, is the most widely used model to estimate soil loss from watersheds (Rao et al, 1994). That the various parameters of USLE can be derived from rainfall distribution, soil characteristics, topographic parameters, vegetative cover and information on conservation support (erosion control) practice are often available in the form of maps or can be mapped through collection of data from possible sources. Due to geographic nature of these factors USLE can easily be modeled into GIS (Jain 1994). The USLE model applications in the grid environment with GIS would allow us to analyze soil erosion in much more detail since the process has a spatially distributed character (Ashish Pandey et al. 2007). The GIS and Remote Sensing (RS) provide spatial input data to the model, while the Universal Soil Loss Equation (USLE) can be used to predict the sediment yield from the watershed. In the present study, USLE is used to estimate potential soil erosion from Indravati catchment. Both magnitude and spatial distribution of potential soil erosion in the catchment is determined. An ArcGIS package is used in developing digital data and another GIS package Integrated Land and Water Information Systems (ILWIS) is used for processing remote sensing data. ILWIS is also used in spatial data analysis to determine magnitude and spatial distribution of potential soil erosion.

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