SNUEI

A practical approach for estimating the escape ratio of near-infrared solar-induced chlorophyll fluorescence

2019 · Remote Sensing of Environment

저자

Yelu Zeng, Grayson Badgley, Benjamin Dechant, 류영렬 (Youngryel Ryu), Min Chen, Joseph A. Berry

연구주제

Remote Sensing in Agriculture · Photosynthetic Processes and Mechanisms · Remote Sensing and LiDAR Applications

NTIS 과학기술표준분류

에너지/자원만에너지·환경·원자력 확장

가장 가까운 분류(농림수산식품 > 농업환경생태 > 농업 생태)가 에너지·환경·원자력 확장 범위 밖이다.

AI 연구 키워드·방법

fluorescence escape ratio 식생 근적외선 반사율(NIRv) 태양유도 엽록소 형광(SIF)

복사전달 모델링

키워드 (OpenAlex)

solar-induced chlorophyll fluorescence near-infrared reflectance bidirectional reflectance factor gross primary productivity fraction of absorbed photosynthetically active radiation fluorescence yield radiative transfer

초록

Solar-induced chlorophyll fluorescence (SIF) has emerged as a leading approach for remote sensing of gross primary productivity (GPP). While SIF has an intrinsic, underlying relationship with canopy light capture and light use efficiency, these physiological relationships are obscured by the fact that satellites observe a small and variable fraction of total emitted canopy SIF. Upon emission, most SIF photons are reabsorbed or scattered within the canopy, preventing their observation remotely. The complexities of the radiative transfer process, which vary across time and space, limit our ability to reliably infer physiological processes from SIF observations. Here, we propose an approach for estimating the fraction of total emitted near-infrared SIF (760 nm) photons that escape the canopy by combining the near-infrared reflectance of vegetation (NIRV) and the fraction of absorbed photosy…

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

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교수 1

류영렬

연구주제 1

Remote Sensing in Agriculture

키워드 2

태양유도 엽록소 형광(SIF) · 식생 근적외선 반사율(NIRv)

방법 1

복사전달 모델링