SNUEI

Detecting plant physiological changes under stress using sun-induced chlorophyll fluorescence from mid-spectral resolution imagery

2025 · Remote Sensing of Environment

저자

Wonseok Choi, 류영렬 (Youngryel Ryu), Hyungsuk Kimm, Anirudh Belwalkar, T. Poblete, Insu Yeon, Jae-Hyun Ryu, Kyung­-Do Lee, Pablo J. Zarco‐Tejada

연구주제

Remote Sensing in Agriculture · Photosynthetic Processes and Mechanisms

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 yield plant stress detection 태양유도 엽록소 형광(SIF)

항공 원격탐사 드론 원격탐사

키워드 (OpenAlex)

solar-induced chlorophyll fluorescence SIF retrieval plant stress detection airborne remote sensing UAV imagery stripe noise precision agriculture

초록

Sun-induced chlorophyll fluorescence (SIF) serves as a valuable indicator for remote sensing of plant physiology. Recent studies have shown that far-red SIF at 761 nm (hereafter SIF) from mid spectral resolution (SR) imagers (3–7 nm full width half maximum (FWHM)) derived reliable fluorescence emission in relative levels. Such mid SR based SIF (SIF MS ; the subscript MS refers to mid SR basis) has been extensively utilized for assessing fluorescence variability in precision agriculture and plant stress detection across various platforms. However, the uncertainties regarding the ability of SIF MS to detect physiological SIF yield (ΦF) remain inadequately investigated. Here, we evaluated various retrieval techniques (i.e., Fraunhofer line depth (FLD), its variant methods, and spectral fitting method (SFM)) under theoretical condition (SCOPE simulation), stress condition (DCMU experiment at…

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

태양유도 엽록소 형광(SIF)

방법 2

항공 원격탐사 · 드론 원격탐사