Results 1 to 10 of about 544 (160)

Study of the Remote Sensing Model of FAPAR over Rugged Terrains [PDF]

Remote Sensing, 2016
Mountainous areas with rugged terrains are widely distributed around the world. Remotely sensed values of the fraction of absorbed photosynthetically active radiation (FAPAR) suffer from the effect of rugged terrain. In this study, the effect of rugged terrain was incorporated into the FAPAR model based on recollision probability (FAPAR-P), which was ...
Jingjing Peng, Wenjie Fan, Xihan Mu
exaly   +5 more sources

Accuracy assessment on the number of flux terms needed to estimate in situ fAPAR

International Journal of Applied Earth Observation and Geoinformation, 2020
The fraction of Absorbed Photosynthetically Active Radiation (fAPAR) is a crucial variable for assessing global carbon balances and currently, there is an urgent need for reference data to validate satellite-derived fAPAR products. However, it is well-known that fAPAR ground measurements are associated with considerable uncertainties.
Philip Marzahn, Arturo Sanchez-Azofeifa, Birgitta Putzenlechner   +2 more
exaly   +6 more sources

Can We Use Satellite-Based FAPAR to Detect Drought?

Sensors, 2019
Drought in Australia has widespread impacts on agriculture and ecosystems. Satellite-based Fraction of Absorbed Photosynthetically Active Radiation (FAPAR) has great potential to monitor and assess drought impacts on vegetation greenness and health. Various FAPAR products based on satellite observations have been generated and made available to the ...
Zheng Duan, Jian Peng, Ralf Ludwig
exaly   +6 more sources

Scaling of FAPAR from the Field to the Satellite [PDF]

Remote Sensing, 2016
The fraction of absorbed photosynthetically active radiation (FAPAR) is a critical biophysical parameter in eco-environmental studies. Scaling of FAPAR from the field observation to the satellite pixel is essential for validating remote sensing FAPAR product and for further modeling applications.
Yiting Wang, Donghui Xie, Song Liu, Ronghai Hu, Yahui Li, Guangjian Yan   +5 more
openaire   +3 more sources

IAM-FIRE: A Climate Emulator-Based Framework to Project Wildfire Impacts and Risks for Integrated Assessment Models. [PDF]

Glob Chang Biol
Current models can overestimate how much carbon forests can store if they ignore the growing threat of wildfires. To solve this, we develop a new tool called IAM‐FIRE to predict global wildfires and associated carbon emissions through the year 2100. The results show how future fire impacts depend on human choices. If we rapidly cut emissions and ensure
Rouhette T, Van de Ven DJ, Narayan K, Tebaldi C, Perkins O, Haas O, Escobar N.   +6 more
europepmc   +2 more sources

An eco-evolutionary optimality model explains the acclimated temperature response of photosynthesis. [PDF]

New Phytol
Summary The optimal temperature of photosynthesis (Topt) generally increases with plant growth temperature. Changes in Topt are associated with changes in the maximum carboxylation capacity at 25°C (Vcmax25) and the maximum electron transport rate at 25°C (Jmax25). The ratio between Jmax25 and Vcmax25 declines with warming.
Gan W, Alizadeh N, Best M, Vidale PL, Prentice IC, Harrison SP.   +5 more
europepmc   +2 more sources

Global Assessment of Environmental and Plant-Trait Influences on Root: Shoot Biomass Ratios. [PDF]

Glob Chang Biol
We assembled a large global dataset by combining several previous compilations to test eco‐evolutionary optimality (EEO) hypotheses about how plants allocate carbon above‐ and below‐ground (root: shoot biomass ratios). Our analysis shows how carbon allocation in woody and herbaceous plants responds to environmental conditions and plant traits.
Ding R, Nóbrega RLB, Prentice IC.
europepmc   +2 more sources

Cross-ECV consistency at global scale: LAI and FAPAR changes.

Remote Sens Environ, 2021
A framework is proposed for assessing the physical consistency between two terrestrial Essential Climate Variables (ECVs) products retrieved from Earth Observation at global scale. The methodology assessed the level of agreement between the temporal variations of Leaf Area Index (LAI) and Fraction of Absorbed Photosynthetically Active Radiation (FAPAR).
Mota B, Gobron N, Morgan O, Cappucci F, Lanconelli C, Robustelli M.   +5 more
europepmc   +3 more sources

Mapping the density of giant trees in the Amazon. [PDF]

New Phytol
Summary Tall trees (height ≥ 60 m) are keystone elements of tropical forests, strongly influencing biodiversity, carbon storage, and ecosystem resilience. Yet, their density and spatial distribution remain poorly quantified, especially in remote Amazonian regions, limiting our understanding of their ecological roles and contribution to forest–climate ...
de Lima RB, da Silva DAS, Nunes MH, Bittencourt PRL, Groenendyk P, de Oliveira CP, Granato-Souza D, Caraciolo Ferreira RL, Aleixo da Silva JA, Aguirre-Gutiérrez J, Jackson T, de Matos Filho JR, Aparício PDS, da Silva JPG, de Toledo JJ, Guedes MC, de Almeida DRA, Higuchi N, Wagner FH, Ometto JP, Görgens EB.   +20 more
europepmc   +2 more sources

A Simple Harmonic Model for FAPAR Temporal Dynamics in the Wetlands of the Volga-Akhtuba Floodplain [PDF]

Remote Sensing, 2016
The paper reports a technique used to construct a reference time series for the fraction of absorbed photosynthetically-active radiation (FAPAR) based on remotely-sensed data in the largest Russian arid wetland territory. For the arid Volga-Akhtuba wetlands, FAPAR appears to be an informative spectral index for estimating plant cover health and its ...
Alexander Kozlov, Maria Kozlova, Nikolai Skorik   +2 more
openaire   +3 more sources