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Investigation of rainfall-runoff modelling of the Van Lake catchment by using remote sensing and GIS integration

  • Istanbul Technical University

Research output: Contribution to journalConference articlepeer-review

8 Citations (Scopus)

Abstract

The aim of this study is to determine runoff depth of the Van Lake basin by using remote sensing and geographic information system (GIS) integration. While determining the results we used various data sets such as Landsat satellite image, 1:25000 standard topographic map, and soil map data. Standard 1:25000 topographic maps were used to derive digital elevation model. Sub-basin area and physical characteristics of the study area such as slope and aspect maps were determined with the help of DEM into GIS as layers. Digital Elevation Model was used to determine basin model through Hec-GeoHMS. Landsat image was classified by using digital image techniques and integrated into GIS with hydrological soil map. Soil Conservation Curve Number method was used to determine curve numbers and runoff depth distribution of the basin area. We show that remote sensing and GIS technology are suitable for analysis of the runoff depth distribution of the basin area. The proposed method can be applied to predict for ungaged watersheds, flood, and other water resource applications.

Original languageEnglish
Pages (from-to)268-271
Number of pages4
JournalInternational Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences - ISPRS Archives
Volume35
Publication statusPublished - 2004
Event20th ISPRS Congress on Technical Commission VII - Istanbul, Turkey
Duration: 12 Jul 200423 Jul 2004

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 15 - Life on Land
    SDG 15 Life on Land

Keywords

  • DEM
  • GIS
  • Landsat TM
  • Remote sensing
  • Runoff depth
  • SCS curve number

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