Building near-real-time MODIS data fusion workflow to support agricultural decision-making applications

Li Lin, Liping Di, Chen Zhang, Liying Guo, Junmei Tang, Eugene Yu, Md Shahinoor Rahman, Haoteng Zhao, Zhiqi Yu, Ziheng Sun, Juozas Gaigalas

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

WaterSmart project is an NSF funded projected seeks water consumption reduction using satellite observations. In order to fit the fine temporal resolution requirement, satellites are required to have a high revisit cycle. MODIS is an ideal platform for monitoring the ground thanks to its daily coverage while the spatial resolution is too coarse. Research has demonstrated the possibility to improve the spatial resolution of MODIS using the Landsat 8 images. This research is aimed to establish a workflow to adapt the data fusion algorithm to achieve automatically processing at real-time in order to support short-term decision making.

Original languageEnglish
Title of host publication2019 8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728121161
DOIs
Publication statusPublished - Jul 2019
Externally publishedYes
Event8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019 - Istanbul, Turkey
Duration: Jul 16 2019Jul 19 2019

Publication series

Name2019 8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019

Conference

Conference8th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2019
Country/TerritoryTurkey
CityIstanbul
Period7/16/197/19/19

Keywords

  • Agriculture
  • Data fusion
  • MODIS
  • Remote sensing
  • Web service

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Soil Science
  • Information Systems
  • Management, Monitoring, Policy and Law
  • Development
  • Dentistry (miscellaneous)

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