An overview of global leaf area index (LAI): Methods, products, validation, and applications

H Fang, F Baret, S Plummer… - Reviews of …, 2019 - Wiley Online Library
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 …

Continuity between NASA MODIS Collection 6.1 and VIIRS Collection 2 land products

MO Román, C Justice, I Paynter, PB Boucher… - Remote Sensing of …, 2024 - Elsevier
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 …

[HTML][HTML] UAV multispectral images for accurate estimation of the maize LAI considering the effect of soil background

S Liu, X **, Y Bai, W Wu, N Cui, M Cheng, Y Liu… - International Journal of …, 2023 - Elsevier
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 …

Global estimation of biophysical variables from Google Earth Engine platform

M Campos-Taberner, Á Moreno-Martínez… - Remote Sensing, 2018 - mdpi.com
This paper proposes a processing chain for the derivation of global Leaf Area Index (LAI),
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 …

Using SMAP Level-4 soil moisture to constrain MOD16 evapotranspiration over the contiguous USA

C Brust, JS Kimball, MP Maneta, K Jencso, M He… - Remote Sensing of …, 2021 - Elsevier
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 …

[HTML][HTML] Evaluating epistemic uncertainty estimation strategies in vegetation trait retrieval using hybrid models and imaging spectroscopy data

JL García-Soria, M Morata, K Berger… - Remote Sensing of …, 2024 - Elsevier
The new-generation satellite imaging spectrometers provide an unprecedented data stream
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

J Pu, K Yan, S Roy, Z Zhu, M Rautiainen… - Earth System …, 2023 - essd.copernicus.org
Leaf area index (LAI) and fraction of photosynthetically active radiation (FPAR) are critical
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

Z Zhang, Y Zhang, Y Zhang, N Gobron… - Remote Sensing of …, 2020 - Elsevier
Satellite remotely sensed fraction of photosynthetically active radiation (FPAR) products are
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

K Yan, J Pu, T Park, B Xu, Y Zeng, G Yan… - Remote Sensing of …, 2021 - Elsevier
The science teams of Moderate Resolution Imaging Spectroradiometer (MODIS) and Visible
Infrared Imager Radiometer Suite (VIIRS) have been supporting various global climate …