SNUEI

Retrieval of seasonal dynamics of forest understory reflectance from semiarid to boreal forests using MODIS BRDF data

2016 · Journal of Geophysical Research Biogeosciences

저자

Jan Písek, Jing M. Chen, Hideki Kobayashi, Miina Rautiainen, Michael E. Schaepman, Arnon Karnieli, Michael Sprinstin, 류영렬 (Youngryel Ryu), Maris Nikopensius, Kairi Raabe

연구주제

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

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

가장 가까운 분류(건설/교통 > 국토정책 및 계획 > 도시계획)가 에너지·환경·원자력 확장 범위 밖이다.

AI 연구 키워드·방법

bidirectional reflectance distribution function boreal forest forest understory reflectance 정규식생지수(NDVI)

위성 원격탐사

키워드 (OpenAlex)

seasonal dynamics latitudinal gradient semi-arid forests boreal forest open forest

초록

Abstract Spatial and temporal patterns of forest background (understory) reflectance are crucial for retrieving biophysical parameters of forest canopies (overstory) and subsequently for ecosystem modeling. In this communication, we retrieved seasonal courses of understory normalized difference vegetation index (NDVI) from multiangular Moderate Resolution Imaging Spectroradiometer bidirectional reflectance distribution function (MODIS BRDF)/albedo data. We compared satellite‐based seasonal courses of understory NDVI to understory NDVI values measured in different types of forests distributed along a wide latitudinal gradient (65.12°N–31.35°N). Our results indicated that the retrieval method performs well particularly over open forests of different types. We also demonstrated the limitations of the method for closed canopies, where the understory signal retrieval is much attenuated.

이 논문을 지원한 국가R&D 과제 (NTIS 성과)

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

정규식생지수(NDVI)

방법 1

위성 원격탐사