Creating a global dataset of crop type through the time series analysis of NDVI

• YOROZU Kazuaki

  京都大学大学院工学研究科都市環境工学専攻

• TANAKA Kenji

  京都大学防災研究所水資源研究センター

• IKEBUCHI Shuichi

  京都大学防災研究所水資源研究センター

Bibliographic Information

Other Title

• NDVI時系列解析による全球作物分類図の作成

Abstract

SiBUC (Simple Biosphere including Urban Canopy) is one of the participants of the Second Global Soil Wetness Project (GSWP2). It uses mosaic approach to incorporate all kind of land-use into LSS. As for farmland, 4 types of crops are considered; spring wheat, winter wheat, corn, and soybean. Not a small part of the world's cropland is irrigated. In order to estimate global soil moisture field as accurately as possible, it is necessary to prepare some parameters which the irrigation scheme needs. The purpose in this study are to prepare a global dataset of crop type and cropping calendar with 1-degree resolution. Through the time series analysis of NDVI, farmland is classified into 4 types and global distribution of cropping calendar (seeding, harvesting, etc.) is produced. In this study, the original index is introduced: Normalized NDVI.

Journal

• PROCEEDINGS OF HYDRAULIC ENGINEERING

  PROCEEDINGS OF HYDRAULIC ENGINEERING 49 379-384, 2005

  Japan Society of Civil Engineers

Keywords

• SiBUC
• GSWP2
• irrigation
• NDVI
• global dataset of crop type

Details

• CRID: 1390001205170758272
• NII Article ID: 130003842147
• DOI: 10.2208/prohe.49.379
• ISSN: 18849172
• ISSN: 09167374
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
  • KAKEN
• Abstract License Flag: Disallowed