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An overview of global leaf area index (LAI): Methods, products, validation, and applications
Leaf area index (LAI) is a critical vegetation structural variable and is essential in the
feedback of vegetation to the climate system. The advancement of the global Earth …
feedback of vegetation to the climate system. The advancement of the global Earth …
Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products
This paper provides a review and summary status of the research underway by the NASA
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …
Terra Aqua Suomi-NPP Land Discipline Team to provide continuity of global land data …
[HTML][HTML] UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background
The high proportion of soil background pixels in UAV remote sensing images is an important
reason for the uncertainty of high-precision leaf area index (LAI) estimation at early growth …
reason for the uncertainty of high-precision leaf area index (LAI) estimation at early growth …
Global estimation of biophysical variables from Google Earth Engine platform
This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI),
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation …
Fraction of Absorbed Photosynthetically Active Radiation (FAPAR), Fraction Vegetation …
[HTML][HTML] Recent advances in using Chinese Earth observation satellites for remote sensing of vegetation
Z Zhang, L Lu, Y Zhao, Y Wang, D Wei, X Wu… - ISPRS Journal of …, 2023 - Elsevier
Vegetation is an important component of the Earth system as it supports other terrestrial
biological activities through photosynthetic production. The biophysical and biochemical …
biological activities through photosynthetic production. The biophysical and biochemical …
Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA
Evapotranspiration (ET) is a key hydrologic variable linking the Earth's water, carbon and
energy cycles. At large spatial scales, remote sensing-based (RS) models are often used to …
energy cycles. At large spatial scales, remote sensing-based (RS) models are often used to …
[HTML][HTML] Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data
The new-generation satellite imaging spectrometers provide an unprecedented data stream
to be processed into quantifiable vegetation traits. Hybrid models have gained widespread …
to be processed into quantifiable vegetation traits. Hybrid models have gained widespread …
Sensor-independent LAI/FPAR CDR: reconstructing a global sensor-independent climate data record of MODIS and VIIRS LAI/FPAR from 2000 to 2022
Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) are critical
biophysical parameters for the characterization of terrestrial ecosystems. Long-term global …
biophysical parameters for the characterization of terrestrial ecosystems. Long-term global …
The potential of satellite FPAR product for GPP estimation: An indirect evaluation using solar-induced chlorophyll fluorescence
Satellite remotely sensed fraction of photosynthetically active radiation (FPAR) products are
widely used in land-surface monitoring and modeling, especially for estimating global …
widely used in land-surface monitoring and modeling, especially for estimating global …
Performance stability of the MODIS and VIIRS LAI algorithms inferred from analysis of long time series of products
The science teams of Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible
Infrared Imager Radiometer Suite (VIIRS) have been supporting various global climate …
Infrared Imager Radiometer Suite (VIIRS) have been supporting various global climate …