Boro Rice Model for HAOR Region of Bangladesh Based on Modis NDVI Images

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

研究成果: Conference contribution

抜粋

Remote sensing satellite images have not been thoroughly studied in agricultural sector of Bangladesh.This study demonstrates a rice model using the vegetation index (VI) NDVI (Normalized Difference Vegetation Index) for predicting Boro rice areas in the Haor region of Bangladesh. Existing rice models are not compatible for the latest version of MODIS data. A new rice model with a better range of NDVI (Normalized Difference Vegetation Index) threshold has been proposed for MODIS version 6 and 5 data which provides better results of Boro rice area calculation also when evaluated with ground truth area the error rate reduced from 8.85% to 7.58% on version 5 and from 27.70% to 4.98% on version 6 estimation respectively.

元の言語English
ホスト出版物のタイトル2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings
出版者Institute of Electrical and Electronics Engineers Inc.
ページ7326-7329
ページ数4
ISBN(電子版)9781538691540
DOI
出版物ステータスPublished - 2019 7
イベント39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Yokohama, Japan
継続期間: 2019 7 282019 8 2

出版物シリーズ

名前International Geoscience and Remote Sensing Symposium (IGARSS)

Conference

Conference39th IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019
Japan
Yokohama
期間19/7/2819/8/2

ASJC Scopus subject areas

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

フィンガープリント Boro Rice Model for HAOR Region of Bangladesh Based on Modis NDVI Images' の研究トピックを掘り下げます。これらはともに一意のフィンガープリントを構成します。

  • これを引用

    Kalpoma, K. A., Nawar Arony, N., Chowdhury, A., Nowshin, M., & Kudoh, J. I. (2019). Boro Rice Model for HAOR Region of Bangladesh Based on Modis NDVI Images. : 2019 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2019 - Proceedings (pp. 7326-7329). [8899013] (International Geoscience and Remote Sensing Symposium (IGARSS)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IGARSS.2019.8899013