Study of the vegetation index-meteorological factor correlation adjusted by accumulated growing degree days

Lingjun Kang, Liping Di, Eugene Yu, Li Lin, Ranjay Shrestha, Yang Xu, Md Shahinoor Rahman

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

1 Citation (Scopus)

Abstract

In previous studies, the correlation between the vegetation index and meteorological factors were investigated with in intervals defined by the day-of-year. Compared with the day-of-year, the accumulated growing degree days (AGDD) more effectively reflect vegetation growing stage, which serves as important references in agricultural management and disaster prediction. From this end, it is also worth to investigate vegetation-meteorological factor correlation within intervals defined by the AGDD. In this paper, pixel-wise VCI-meteorological factor (i.e. precipitation and temperature) correlation was analyzed in grass/pasture land by different intervals adjusted by the AGDD. According to results, variances of VCI-meteorological factor correlation were unveiled across different intervals. Summarily, the temperature serves as the dominant factor on VCI dynamics before the heating accumulation necessary for grass growing is achieved. Within these intervals, the precipitation is weakly correlated with the VCI. As excessive heating is received after necessary heating condition is met, the precipitation replaces the temperature as the controlling factor and shows increasingly positive correlation with the VCI. Within the same intervals, VCI-temperature correlation coefficient decreases to negative level. The work in this paper is helpful to better understand intra-annual variances of VCI-meteorological factor correlation. Results from this paper will also serve as the reference for agricultural practices and management.

Original languageEnglish
Title of host publication2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781509023509
DOIs
Publication statusPublished - Sept 26 2016
Externally publishedYes
Event5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016 - Tianjin, China
Duration: Jul 18 2016Jul 20 2016

Publication series

Name2016 5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016

Conference

Conference5th International Conference on Agro-Geoinformatics, Agro-Geoinformatics 2016
Country/TerritoryChina
CityTianjin
Period7/18/167/20/16

Keywords

  • accumulated growing degree days
  • precipitation
  • temperature
  • vegetation condition index

ASJC Scopus subject areas

  • Agronomy and Crop Science
  • Computers in Earth Sciences

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