Application of arcmap zonal statistic method and remote sensing imagery to analyze agriculture land uses and irrigation water needs

Chien Chen Lu, Chyan-Deng Jan

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Fousing on the agricultural lands controlled and managed by the Zhangtan Station of the Kaohsiung Irrigation Association, this study used FORMOSAT-II images and GIS system to differentiate and recognize the spatial and temporal usages of the agricultural lands through the pixel-by-pixel method as well as the zonal statistics method in ArcMap. With the use of the satellite images as well as their spectral responses, the agricultural land uses were classified into rice paddies, non-rice paddies, water bodies, and barren areas. The result shows that the use of NDVI can improve the accuracy of land-use classification from satellite images. The accuracy of land-use recognization by the ArcMap zonal statistics method is better than that by the pixel-by-pixel method. Effective and accurative classification of agricultural land uses is very helpful in effectively estimating the irrigation water requirements and the production of crops.

Original languageEnglish
Pages (from-to)1-15
Number of pages15
JournalJournal of Taiwan Agricultural Engineering
Volume57
Issue number2
Publication statusPublished - 2011 Jun 1

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Imagery (Psychotherapy)
Agriculture
Irrigation
Land use
irrigation water
remote sensing
agricultural land
Remote sensing
statistics
land use
Pixels
Statistics
agriculture
Water
paddies
Satellites
Body Water
water requirement
methodology
Geographic information systems

All Science Journal Classification (ASJC) codes

  • Agricultural and Biological Sciences(all)
  • Engineering(all)

Cite this

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