Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
planned imaging spectrometers, will unleash an unprecedented data stream. The …
planned imaging spectrometers, will unleash an unprecedented data stream. The …
Recent developments in estimating land surface biogeophysical variables from optical remote sensing
S Liang - Progress in Physical Geography, 2007 - journals.sagepub.com
Earth system models and many other applications require biogeophysical variables, and
remote sensing is the only means by which to estimate them at the appropriate spatial and …
remote sensing is the only means by which to estimate them at the appropriate spatial and …
Constructing a Bayesian network model for improving safety behavior of employees at workplaces
Introduction Unsafe behavior increases the risk of accident at workplaces and needs to be
managed properly. The aim of the present study was to provide a model for managing and …
managed properly. The aim of the present study was to provide a model for managing and …
Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup
Initiated in 1984, the Committee Earth Observing Satellites' Working Group on Calibration
and Validation (CEOS WGCV) pursues activities to coordinate, standardize and advance …
and Validation (CEOS WGCV) pursues activities to coordinate, standardize and advance …
Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat
C Atzberger, M Guérif, F Baret, W Werner - Computers and electronics in …, 2010 - Elsevier
Hyperspectral data sets contain useful information for characterizing vegetation canopies
not previously available from multi-spectral data sources. However, to make full use of the …
not previously available from multi-spectral data sources. However, to make full use of the …
Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models
The radiative transfer model (RTM) simulates forward spectral reflectance of vegetation and
is used to estimate physical parameters using backwards inversion. However, differentiation …
is used to estimate physical parameters using backwards inversion. However, differentiation …
Incorporation of first-order backscattered power in Water Cloud Model for improving the Leaf Area Index and Soil Moisture retrieval using dual-polarized Sentinel-1 …
The novel modification in the WCM (mWCM) is proposed in this study to simulate total
backscattering contribution and to improve Leaf Area Index (LAI) and Soil Moisture (SM) …
backscattering contribution and to improve Leaf Area Index (LAI) and Soil Moisture (SM) …
A Bayesian belief network analysis of factors influencing wildfire occurrence in Swaziland
WM Dlamini - Environmental Modelling & Software, 2010 - Elsevier
The impacts of wildfires on ecosystems and the factors contributing to their occurrence are
increasingly receiving global attention. Advances in satellite remote sensing and information …
increasingly receiving global attention. Advances in satellite remote sensing and information …
Real-time retrieval of Leaf Area Index from MODIS time series data
Z Xiao, S Liang, J Wang, B Jiang, X Li - Remote Sensing of Environment, 2011 - Elsevier
Real-time/near real-time inversion of land surface biogeophysical variables from satellite
observations is required to monitor rapid land surface changes, and provide the necessary …
observations is required to monitor rapid land surface changes, and provide the necessary …
Assessing multi-temporal Landsat 7 ETM+ images for estimating above-ground biomass in subtropical dry forests of Argentina
NI Gasparri, MG Parmuchi, J Bono… - Journal of Arid …, 2010 - Elsevier
Above-ground biomass (AGB) is important to estimate total carbon pools in forests, where it
has a key role in the global carbon cycle. We assessed correlations between spectral …
has a key role in the global carbon cycle. We assessed correlations between spectral …