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 …
[HTML][HTML] Global data sets of vegetation leaf area index (LAI) 3g and fraction of photosynthetically active radiation (FPAR) 3g derived from global inventory modeling …
Long-term global data sets of vegetation Leaf Area Index (LAI) and Fraction of
Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical to monitoring …
Photosynthetically Active Radiation absorbed by vegetation (FPAR) are critical to monitoring …
Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance
Z **ao, S Liang, J Wang, Y **ang… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
Leaf area index (LAI) is an important vegetation biophysical variable and has been widely
used for crop growth monitoring and yield estimation, land-surface process simulation, and …
used for crop growth monitoring and yield estimation, land-surface process simulation, and …
Evaluation of MODIS LAI/FPAR product collection 6. Part 2: Validation and intercomparison
The aim of this paper is to assess the latest version of the MODIS LAI/FPAR product
(MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through …
(MOD15A2H), namely Collection 6 (C6). We comprehensively evaluate this product through …
GEOV1: LAI, FAPAR essential climate variables and FCOVER global time series capitalizing over existing products. Part 2: Validation and intercomparison with …
This paper describes the scientific validation of the first version of global biophysical
products (ie, leaf area index, fraction of absorbed photosynthetically active radiation and …
products (ie, leaf area index, fraction of absorbed photosynthetically active radiation and …
Using linear regression, random forests, and support vector machine with unmanned aerial vehicle multispectral images to predict canopy nitrogen weight in corn
The optimization of crop nitrogen fertilization to accurately predict and match the nitrogen (N)
supply to the crop N demand is the subject of intense research due to the environmental and …
supply to the crop N demand is the subject of intense research due to the environmental and …
Validation and intercomparison of global Leaf Area Index products derived from remote sensing data
This study investigates the performances of four major global Leaf Area Index (LAI) products
at 1/11.2° spatial sampling and a monthly time step: ECOCLIMAP climatology …
at 1/11.2° spatial sampling and a monthly time step: ECOCLIMAP climatology …
[HTML][HTML] Estimating fractional cover of tundra vegetation at multiple scales using unmanned aerial systems and optical satellite data
Fractional cover of green vegetation (FCover) is a key variable when observing Arctic
vegetation under a changing climate. Vegetation changes over large areas are traditionally …
vegetation under a changing climate. Vegetation changes over large areas are traditionally …
[HTML][HTML] How can UAV bridge the gap between ground and satellite observations for quantifying the biomass of desert shrub community?
P Mao, J Ding, B Jiang, L Qin, GY Qiu - ISPRS Journal of Photogrammetry …, 2022 - Elsevier
Accurate estimation of the shrub above-ground biomass (AGB) is an essential basis for
determining carbon storage and monitoring desertification risk in arid ecosystems. However …
determining carbon storage and monitoring desertification risk in arid ecosystems. However …
Methodology comparison for canopy structure parameters extraction from digital hemispherical photography in boreal forests
The retrieval of canopy architectural parameters using off-the-shelf digital cameras with fish-
eye lens is investigated. The technique used takes advantage of the sensor's linear …
eye lens is investigated. The technique used takes advantage of the sensor's linear …