GLOBAL ANALYSIS OF THE RELATIONSHIP BETWEEN PRECIPITATION AND VEGETATION DYNAMICS DERIVED FROM NOAA/AVHRR-NDVI

Material type: 文書・図像類

Author: Runtunuwu, Eleonoraほか

Publisher: 千葉大学環境リモートセンシング研究センター

Publication date: 2002

Material Format: Digital

Capacity, size, etc.: -

NDC: 517

View All

Notes on use

Note (General)：: type:text研究概要:The present study attempts to investigate relation between precipitation and vegetation dynamics derived from NOAA/AVHRR-Normalized Diff...

Search by Bookstore

Holdings of Libraries in Japan

This page shows libraries in Japan other than the National Diet Library that hold the material.

List of Cooperating Institutions and Databases

Please contact your local library for information on how to use materials or whether it is possible to request materials from the holding libraries.

other

Chiba University Repository for Access to Outcomes from Research
Digital
You can check the holdings of institutions and databases with which Institutional Repositories DataBase(IRDB)(Institutional Repository) is linked at the site of Institutional Repositories DataBase(IRDB)(Institutional Repository).
Chiba University Repository for Access to Outcomes from Research

Search by Bookstore

Bibliographic Record

You can check the details of this material, its authority (keywords that refer to materials on the same subject, author's name, etc.), etc.

Digital

Material Type: 文書・図像類
Title: GLOBAL ANALYSIS OF THE RELATIONSHIP BETWEEN PRECIPITATION AND VEGETATION DYNAMICS DERIVED FROM NOAA/AVHRR-NDVI
Author/Editor: Runtunuwu, Eleonora
近藤, 昭彦
Author Heading: Runtunuwu, Eleonora
近藤, 昭彦
Publication, Distribution, etc.: 千葉大学環境リモートセンシング研究センター
Publication Date: 2002
Publication Date (W3CDTF): 2002
Periodical title: 水文過程のリモートセンシングとその応用に関するワークショップ (共同利用研究会報告集)
Pages: 93-100
Text Language Code: eng
Subject Heading: 450
NDC: 517
Target Audience: 一般
Note (General): type:text
研究概要:The present study attempts to investigate relation between precipitation and vegetation dynamics derived from NOAA/AVHRR-Normalized Difference Vegetation Index (NDVI) data. The study examines the relationships between precipitation and NDVI data on annual and time series monthly data using both linear and non-linear regression and correlation analysis. The study demonstrates there is a good corresponding between NDVI and precipitation based on either the mean annual integrated or seasonal data. Therefore, we accepted these relationships could become an indicator in studies of global environmental changes.
Access Restrictions: 限定公開
Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）
https://irdb.nii.ac.jp
Original Data Provider (Database): 千葉大学 : 千葉大学学術成果リポジトリ