New Modis Vegetation Index for Boro Rice Model Using 3d Plot and K-NN: Bangladesh Haor Region Perspective

Kazi A. Kalpoma, Anik Chowdhury, Nowshin Nawar Arony, Mehjabin Nowshin, Jun Ichi Kudoh

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

Abstract

This paper demonstrates an approach to develop a prediction based model for forecasting Boro rice areas in the haor region of Bangladesh. Forecasting the rice areas can contribute in creating a centralized monitoring system for planning effi-cient storage and proper utilization methods. This leads to the development of proposing a new vegetation index (VI). The approach considers a new vegetation index combining NDVI (Normalized Difference Vegetation Index), EVI2 (Enhanced Vegetation Index 2) and OSAVI (Optimized Soil-Adjusted Vegetation Index) for latest version MODIS (version-6) data. The method will forecast total Boro rice areas at the beginning of the Boro season (Dec-Jan) which is more than 3 months earlier from harvesting time without using any ground truth data. 3 Dimensional plotting method and k-Nearest Neighbor classifier have been used on only sowing period (Dec-Jan) data to predict Boro rice pixels. Our new VI has achieved an accuracy of 72%, recall 0.7020, precision 0.4183 and F1 score 0.5175.

Original languageEnglish
Title of host publication2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages7322-7325
Number of pages4
ISBN (Electronic)9781538691540
DOIs
Publication statusPublished - 2019 Jul
Externally publishedYes
Event39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
Duration: 2019 Jul 282019 Aug 2

Publication series

NameInternational Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
CountryJapan
CityYokohama
Period19/7/2819/8/2

Keywords

  • Boro rice
  • Enhanced Vegetation Index (EVI)
  • Haor
  • MODIS
  • Normalized Vege-taion Index (NDVI)
  • Opti-mized Soil-Adjusted Vegetation Index (OSAVI)
  • Remote sensed satellite image
  • Vegetation Index (VI)

ASJC Scopus subject areas

  • Computer Science Applications
  • Earth and Planetary Sciences(all)

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