Detection of change of seasonal variation of vegetation index obtained by satellite images

• TANASE Kimikazu

  Kochi Univerisity

• HONDA Rie

  Kochi Univerisity

Bibliographic Information

Other Title

• 衛星画像から得られた植生指標の季節変動のモデリングによる局所的変動検知の試み

Abstract

Statisitcal modelling method for seasonal change of vegetation indices is developed. The seasonal change of vegetation indices is modelled by segmented logistic functions and their parameters are determined by Maximum a posterior method by using their prior probability. Furthermore, obtained parameters are clustered by using k-means. Change of the vegetation at a specific point is detected by the discrepancy between most frequent cluster ID and the cluster ID of a specific year.

Journal

• Proceedings of the Annual Conference of JSAI

  Proceedings of the Annual Conference of JSAI JSAI2021 (0), 2Xin519-2Xin519, 2021

  The Japanese Society for Artificial Intelligence

Keywords

• satellite Image
• modelling of spatio-temporal change
• vegetation index
• modeling
• distributed computing

Details

• CRID: 1390569845478504448
• NII Article ID: 130008051673
• DOI: 10.11517/pjsai.jsai2021.0_2xin519
• Text Lang: ja
• Data Source:
  • JaLC
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed