Application of remote sensing techniques in locating dry and irrigated farmland parcels

Selver Senturk*, Serdar Bagis, Burak Berk Ustundag

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Citations (Scopus)

Abstract

For structuring national irrigation policies and determining the exact yield production shares separately generated from irrigated and unirrigated farmland practices fast and simple to employ methods are of great importance. In this work, through utilizing entire satellite image frames, with no masking or cropping any parts out, a local, parcel-based Normalized Difference Vegetation Index (NDVI) and Normalized Difference Moisture Index (NDMI) means and variance techniques' mapping abilities were investigated. This was the preliminary stage in the delineation of irrigated and non-irrigated parcels. Although, even at this phase we obtained mapping results with reasonably high precision, a further process was performed using Land Surface Temperature (LST) data retrieved from Landsat 8 satellite images. LST tuning up produced irrigated areas to be mapped with accuracy rates escalating above 89%. The results obtained suggest that the NDVI, NDMI means and variance approach coupled up along with LST data holds the capacity to assist in building up trustworthy agrarian statistics for TARBIL project and in formation of a robust Agricultural Geographic Information System on national basis.

Original languageEnglish
Title of host publication2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479941575
DOIs
Publication statusPublished - 25 Sept 2014
Event2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014 - Beijing, China
Duration: 11 Aug 201414 Aug 2014

Publication series

Name2014 The 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014

Conference

Conference2014 3rd International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2014
Country/TerritoryChina
CityBeijing
Period11/08/1414/08/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

Keywords

  • Landsat-8
  • LST
  • mapping dry and irrigated parcels
  • NDMI
  • NDVI
  • Remote sensing
  • TARBIL project

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