Effect of soil property change on soil moisture profile estimation through data fusion

Ajla Kulaglic, Burak Berk Ustundag

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

1 Citation (Scopus)

Abstract

Crop yield is strongly correlated to soil moisture and its variation with respect to phenological stage of the plant. For this reason spatial and temporal distribution of soil moisture is substantial for agricultural planning, irrigation and water resource management. A soil profile estimation model where agro-meteorological and remote sensing data sets are fused by wavelet neural network is developed for large scale multi sensor agricultural monitoring network in Turkey (TARBIL). Temporal rain, parcel based evapotranspiration, amount of irrigation together with fractional vegetation cover have been used as inputs of multiple-input time-delay wavelet neural network for spatiotemporal multi-depth soil moisture profile estimation. An error source in soil moisture estimation is discontinuity in soil property change. Meanwhile additional estimation on z-axis for profile data is also effective in complexity of the problem. In this study, we have investigated effect of some physical and chemical property changes and proposed possible improvements on the soil profile estimation model.

Original languageEnglish
Title of host publication2015 4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages178-182
Number of pages5
ISBN (Electronic)9781467380874
DOIs
Publication statusPublished - 9 Sept 2015
Event4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015 - Istanbul, Turkey
Duration: 20 Jul 201524 Jul 2015

Publication series

Name2015 4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015

Conference

Conference4th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2015
Country/TerritoryTurkey
CityIstanbul
Period20/07/1524/07/15

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

Keywords

  • Data Fusion
  • Fractional Vegetation Cover
  • Landsat8
  • NDVI
  • Remote Sensing
  • Soil Classification
  • Soil Moisture
  • Soil Moisture Estimation
  • TARBIL
  • Time Series Data
  • Wavelet Neural Networks

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