SNUEI

Inconsistencies of interannual variability and trends in long‐term satellite leaf area index products

2017 · Global Change Biology

저자

Chongya Jiang, 류영렬 (Youngryel Ryu), Hongliang Fang, Ranga B. Myneni, Martin Claverie, Zaichun Zhu

연구주제

Remote Sensing in Agriculture · Remote Sensing and LiDAR Applications · Atmospheric aerosols and clouds

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

지원 과제·AI 키워드로 잡을 근거가 없어 분류하지 않았다.

AI 연구 키워드·방법

엽면적지수(LAI) satellite product consistency

위성 원격탐사

키워드 (OpenAlex)

leaf area index interannual variability long-term trends product consistency glass MODIS MERIS sensor degradation

초록

Abstract Understanding the long‐term performance of global satellite leaf area index (LAI) products is important for global change research. However, few effort has been devoted to evaluating the long‐term time‐series consistencies of LAI products. This study compared four long‐term LAI products (GLASS, GLOBMAP, LAI3g, and TCDR) in terms of trends, interannual variabilities, and uncertainty variations from 1982 through 2011. This study also used four ancillary LAI products (GEOV1, MERIS, MODIS C5, and MODIS C6) from 2003 through 2011 to help clarify the performances of the four long‐term LAI products. In general, there were marked discrepancies between the four long‐term LAI products. During the pre‐MODIS period (1982–1999), both linear trends and interannual variabilities of global mean LAI followed the order GLASS>LAI3g>TCDR>GLOBMAP. The GLASS linear trend and interannual variability w…

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NTIS 성과DB(2020–24)에서 DOI 매칭 없음

인접 그래프

노드 hover = 이웃 강조 · 1회 클릭 = 고정 · 고정된 노드 다시 클릭 = 페이지 이동

이 문서와 연결된 페이지

교수 1

류영렬

연구주제 1

Remote Sensing in Agriculture

키워드 1

엽면적지수(LAI)

방법 1

위성 원격탐사