Optical remote sensing and the retrieval of terrestrial vegetation bio-geophysical properties–A review

J Verrelst, G Camps-Valls, J Muñoz-Marí… - ISPRS Journal of …, 2015 - Elsevier
Forthcoming superspectral satellite missions dedicated to land monitoring, as well as
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 …

Constructing a Bayesian network model for improving safety behavior of employees at workplaces

I Mohammadfam, F Ghasemi, O Kalatpour… - Applied ergonomics, 2017 - Elsevier
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 …

Validation of global moderate-resolution LAI products: A framework proposed within the CEOS land product validation subgroup

JT Morisette, F Baret, JL Privette… - … on Geoscience and …, 2006 - ieeexplore.ieee.org
Initiated in 1984, the Committee Earth Observing Satellites' Working Group on Calibration
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 …

Inversion of rice canopy chlorophyll content and leaf area index based on coupling of radiative transfer and Bayesian network models

XQ Xu, JS Lu, N Zhang, TC Yang, JY He, X Yao… - ISPRS Journal of …, 2019 - Elsevier
The radiative transfer model (RTM) simulates forward spectral reflectance of vegetation and
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 …

SK Singh, R Prasad, PK Srivastava, SA Yadav… - Remote Sensing of …, 2023 - Elsevier
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) …

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 …

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 …

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 …