Evapotranspiration Everywhere, All the Time: Towards a Unified View From Earth Observation
2026 · Global Change Biology
저자
Joshua B. Fisher, Martha C. Anderson, Diego G. Miralles, Kaniska Mallick, Paul Stoy, 류영렬 (Youngryel Ryu), Wim G. M. Bastiaanssen
연구주제
Remote Sensing in Agriculture · Plant Water Relations and Carbon Dynamics
NTIS 과학기술표준분류
에너지/자원만에너지·환경·원자력 확장
가장 가까운 분류(농림수산식품 > 농업·식품 기계·설비 > 농업·식품 생산 자동화·로봇)가 에너지·환경·원자력 확장 범위 밖이다.
AI 연구 키워드·방법
증발산 water cycle
키워드 (OpenAlex)
evapotranspiration water cycle Earth observation satellite remote sensing eddy covariance flux tower spatiotemporal resolution machine learning
초록
Scientists want to know everything, everywhere, and all the time. This is particularly true in Earth science, where we seek to understand processes that span from the molecular to the planetary scale in how the world works, how it affects us, and how we impact it-especially the water cycle. Evapotranspiration (ET) was the last component to be measured in closing the water cycle: for decades, closing the water budget meant adding up all the measurable components, then inferring ET as the residual. Early measurements relied on water loss from pans and weighing lysimeters, followed by sensors inserted into plants to monitor sap flow and leaf chambers capturing transpiration. Scaling up to ecosystems became possible through eddy-covariance flux towers and further across landscapes through proximal sensing with drones, aircraft, and, ultimately, with satellites. While enormous progress has be…
이 논문을 지원한 국가R&D 과제 (NTIS 성과)
NTIS 성과DB(2020–24)에서 DOI 매칭 없음
인접 그래프
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