Results 171 to 180 of about 5,055 (231)

Estimation of daily FAPAR from MODIS instantaneous observations at forest sites

Agricultural and Forest Meteorology, 2023
Yinghui Zhang, Hongliang Fang
exaly   +3 more sources

An Improved FAPAR-P Model for Cloudy Conditions

IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, 2023
The fraction of absorbed photosynthetically active radiation (FAPAR) is directly linked to the estimation of canopy gross primary production and is a key input parameter in terrestrial ecosystem models.
Yunzhu Tao, Naijie Peng, Siqi Yang, Qunchao He, Dechao Zhai, Huazhong Ren, Wenjie Fan   +6 more
semanticscholar   +2 more sources

Crop specific algorithms trained over ground measurements provide the best performance for GAI and fAPAR estimates from Landsat-8 observations

Remote Sensing of Environment, 2021
Estimation of Green Area Index (GAI) and fraction of Absorbed Photosynthetically Active Radiation (fAPAR) from decametric satellites was investigated in this study using a large database of ground measurements over croplands.
Fernando Camacho, Wenjuan Li, Marie Weiss   +2 more
exaly   +2 more sources

On the relationship between FAPAR and NDVI

Remote Sensing of Environment, 1994
Abstract The influence of pixel heterogeneity, background, atmospheric and bidirectional effects on the relationship between fraction of photosynthetically active radiation absorbed by the photosynthesizing tissue in a canopy (FAPAR) and normalized difference vegetation index (NDVI) is investigated using a three-dimensional model of radiation ...
Ranga B Myneni
exaly   +2 more sources

Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements

Remote Sensing of Environment, 2004
Abstract On global and regional scales, earth observation (EO)-based estimates of leaf area index (LAI) provide valuable input to climate and hydrologic modelling, while fraction of absorbed photosynthetically active radiation (fAPAR) is a key variable in the assessment of vegetation productivity and yield estimates. Validation of moderate resolution
Rasmus Fensholt, Inge Sandholt, Michael Schultz Rasmussen   +2 more
exaly   +2 more sources

Validation of Sentinel-2 fAPAR products using ground observations across three forest ecosystems

Remote Sensing of Environment, 2019
Accurate estimates of Essential Climate Variables (ECV) such as the fraction of Absorbed Photosynthetically Active Radiation (fAPAR) are essential for assessing global carbon balances.
Birgitta Putzenlechner, Saulo Castro, Ralf Kiese   +2 more
exaly   +2 more sources

On the bias of instantaneous FAPAR estimates in open-canopy forests

Agricultural and Forest Meteorology, 2010
Abstract Global products of the fraction of absorbed photosynthetically active radiation (FAPAR) are operationally available from a variety of space agencies. A proper validation of these products is essential and hinges on the acquisition of accurate ground-based FAPAR estimates of the vegetation contained within the field of view of the space ...
exaly   +2 more sources

A deep learning method for generating gap-free FAPAR time series from Landsat data

Remote Sensing of Environment
Gaofei Yin, Aleixandre Verger
exaly   +2 more sources

Remote Sensing of Seasonal Variation of Lai and Fapar in a Deciduous Broadleaf Forest

Social Science Research Network, 2023
Climate change is affecting the phenology of terrestrial ecosystems. In deciduous forests, phenology in leaf area index (LAI) is the primary driver of seasonal variation in the fraction of absorbed photosynthetically active radiation (fAPAR), which ...
Leticia X. Lee, T. G. Whitby, J. W. Munger, Sophia Stonebrook, M. Friedl   +4 more
semanticscholar   +1 more source

Simultaneous Estimation of LAI, PAR, FAPAR, and Surface Albedo at Multiple Spatial Scales From Top-of-Atmosphere Satellite Observations With Different Spatial Resolutions

IEEE Transactions on Geoscience and Remote Sensing, 2023
Current global land-surface parameter products are generally derived from surface reflectance data acquired by a single satellite sensor, which requires atmospheric corrections for top-of-atmosphere (TOA) reflectance data.
Juan Li, X. Zhan, Zhiqiang Xiao, Hanyu Shi, Jingyi Jiang   +4 more
semanticscholar   +1 more source