From remotely‐sensed solar‐induced chlorophyll fluorescence to ecosystem structure, function, and service: Part II—Harnessing data
Although our observing capabilities of solar‐induced chlorophyll fluorescence (SIF) have
been growing rapidly, the quality and consistency of SIF datasets are still in an active stage …
been growing rapidly, the quality and consistency of SIF datasets are still in an active stage …
The physiological basis for estimating photosynthesis from Chla fluorescence
Solar‐induced Chl fluorescence (SIF) offers the potential to curb large uncertainties in the
estimation of photosynthesis across biomes and climates, and at different spatiotemporal …
estimation of photosynthesis across biomes and climates, and at different spatiotemporal …
Attributing differences of solar-induced chlorophyll fluorescence (SIF)-gross primary production (GPP) relationships between two C4 crops: corn and miscanthus
There remains limited information to characterize the solar-induced chlorophyll fluorescence
(SIF)-gross primary production (GPP) relationship in C4 cropping systems. The annual C4 …
(SIF)-gross primary production (GPP) relationship in C4 cropping systems. The annual C4 …
Partitioning eddy covariance CO2 fluxes into ecosystem respiration and gross primary productivity through a new hybrid four sub-deep neural network
A data-driven model is commonly employed for partitioning eddy covariance (EC) CO 2
fluxes (NEE) into ecosystem respiration (ER) and gross primary productivity (GPP) fluxes …
fluxes (NEE) into ecosystem respiration (ER) and gross primary productivity (GPP) fluxes …
Two for one: Partitioning CO2 fluxes and understanding the relationship between solar-induced chlorophyll fluorescence and gross primary productivity using …
Accurately partitioning net ecosystem exchange (NEE) into ecosystem respiration (ER) and
gross primary productivity (GPP) is critical for understanding the terrestrial carbon cycle. The …
gross primary productivity (GPP) is critical for understanding the terrestrial carbon cycle. The …
Modeling gross primary production and transpiration from sun-induced chlorophyll fluorescence using a mechanistic light-response approach
Q Beauclaire, S De Cannière, F Jonard… - Remote Sensing of …, 2024 - Elsevier
Sun-induced chlorophyll fluorescence (SIF) is a promising optical remote sensing signal
which is directly linked to photosynthesis, allowing for the monitoring of gross primary …
which is directly linked to photosynthesis, allowing for the monitoring of gross primary …
[HTML][HTML] 森林植被不同尺度的碳水过程及耦合机制研究进展
余新晓， 武昱鑫， 贾国栋 - 水土保持学报, 2023 - stbcxb.cnjournals.com
目的陆地生态系统中的碳循环和水循环是陆地生态系统物质和能量循环的核心, 也是连接地圈,
生物圈和大气层的纽带. 森林植被是陆地生态系统的重要组成部分, 是表征陆地碳 …
生物圈和大气层的纽带. 森林植被是陆地生态系统的重要组成部分, 是表征陆地碳 …
A data-driven approach to partitioning net ecosystem exchange using a deep state space model
Describing ecosystem carbon fluxes is essential for deepening the understanding of the
Earth system. However, partitioning net ecosystem exchange (NEE), ie the sum of …
Earth system. However, partitioning net ecosystem exchange (NEE), ie the sum of …
Reconstruction of US Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network
YAO Jianen, LIU Haiqiu, Y Man, F Jinying, C Xiu… - Smart …, 2024 - smartag.net.cn
Objective SIF (Solar Induced Fluorescence) data obtained from satellites suffer from issues
such as low spatial and temporal resolution, and discrete footprint because of the limitations …
such as low spatial and temporal resolution, and discrete footprint because of the limitations …
On Using Near-surface Remote Sensing Observation for Evaluation Gross Primary Productivity and Net Ecosystem CO2 Partitioning
Remotely sensed vegetation indices (VIs) are empirically related with gross primary
productivity (GPP) in various spatio-temporal scales. The uncertainties in GPP-VI …
productivity (GPP) in various spatio-temporal scales. The uncertainties in GPP-VI …