Detecting diurnal dynamics of cotton leaf inclination angle under water-salt stress
2026 · Remote Sensing of Environment
저자
Qing Li, Dalei Hao, Jan Písek, Zicheng Ji, Yanan Wei, 류영렬 (Youngryel Ryu), Jie Xu, Yangmin Feng, Shaozhong Kang, Yelu Zeng
연구주제
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
가장 가까운 분류(농림수산식품 > 식량작물과학 > 식량작물 생명공학)가 에너지·환경·원자력 확장 범위 밖이다.
AI 연구 키워드·방법
cotton leaf angle 식물 수분 스트레스 salt stress
키워드 (OpenAlex)
leaf angle diurnal dynamics cotton drought stress salt stress combined abiotic stress canopy structure UAV photogrammetry
초록
Leaf inclination angle (LIA) dynamics act as a rapid response mechanism to abiotic stress, regulating canopy energy balance and water use efficiency. While the adaptive value of diurnal LIA plasticity (e.g., paraheliotropism) is well-recognized in ecology, most current remote sensing algorithms and ecosystem models still treat canopy architecture as static and neglect stress-induced geometric adjustments. Furthermore, the diurnal dynamics of LIA under combined abiotic stresses, such as concurrent water deficit and salinity, still remain poorly understood. Recent advances in unmanned aerial vehicle (UAV) photogrammetry offer a promising approach for capturing LIA dynamics at high spatial and temporal resolution. However, accurately resolving fine scale, dynamic leaf movements in real environments using UAVs remains challenging. To address these gaps, we developed the Constraint-Assisted P…
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