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)
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.
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NTIS 성과DB(2020–24)에서 DOI 매칭 없음
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