Creating a global dataset of crop type with 1-kilometer through the time series analysis of NDVI and spectral reflectance

DOI

Bibliographic Information

Other Title
  • NDVI 及び分光反射率の時系列解析による全球1 kmメッシュ作物分類図の作成

Abstract

The understanding of the global distribution of irrigation water requirement and its response to climate variability is fundamental for stable supply of water for agriculture and sustainable water management. The SiBUC (Simple Biosphere including Urban Canopy) model is one of the models that have the irrigation scheme. In order to utilize the SiBUC model accurately, it is necessary to prepare some parameters which the irrigation scheme needs. The purpose in this study is to prepare a global dataset of crop type with 1-kilometer resolution. Through the time series analysis of NDVI and spectral reflectance, farmland is classified into 5 types.

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Keywords

Details 詳細情報について

  • CRID
    1390001205713619584
  • NII Article ID
    130004628119
  • DOI
    10.11520/jshwr.23.0.37.0
  • Text Lang
    ja
  • Data Source
    • JaLC
    • CiNii Articles
  • Abstract License Flag
    Disallowed

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