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 …
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 …
Hyperspectral remote sensing data analysis and future challenges
JM Bioucas-Dias, A Plaza… - … and remote sensing …, 2013 - ieeexplore.ieee.org
Hyperspectral remote sensing technology has advanced significantly in the past two
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …
decades. Current sensors onboard airborne and spaceborne platforms cover large areas of …
Estimation of crop LAI using hyperspectral vegetation indices and a hybrid inversion method
Leaf area index (LAI) is an important indicator of crop growth. In this paper, a hybrid
inversion method was developed to estimate the LAI values of crops. Based on PROSAIL …
inversion method was developed to estimate the LAI values of crops. Based on PROSAIL …
A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation
MC Anderson, JM Norman… - Journal of …, 2007 - Wiley Online Library
Due to the influence of evaporation on land‐surface temperature, thermal remote sensing
data provide valuable information regarding the surface moisture status. The Atmosphere …
data provide valuable information regarding the surface moisture status. The Atmosphere …
LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm
This article describes the algorithmic principles used to generate LAI, fAPAR and fCover
estimates from VEGETATION observations. These biophysical variables are produced …
estimates from VEGETATION observations. These biophysical variables are produced …
The application of artificial neural networks to the analysis of remotely sensed data
Artificial neural networks (ANNs) have become a popular tool in the analysis of remotely
sensed data. Although significant progress has been made in image classification based …
sensed data. Although significant progress has been made in image classification based …
Fractional vegetation cover estimation algorithm for Chinese GF-1 wide field view data
Wide field view (WFV) sensor on board the Chinese GF-1, the first satellite of the China High-
resolution Earth Observation System, is acquiring multi-spectral data with decametric spatial …
resolution Earth Observation System, is acquiring multi-spectral data with decametric spatial …
Multitemporal and multiresolution leaf area index retrieval for operational local rice crop monitoring
M Campos-Taberner, FJ García-Haro… - Remote Sensing of …, 2016 - Elsevier
This paper presents an operational chain for high-resolution leaf area index (LAI) retrieval
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …
from multiresolution satellite data specifically developed for Mediterranean rice areas. The …
Neural network estimation of LAI, fAPAR, fCover and LAI× Cab, from top of canopy MERIS reflectance data: Principles and validation
A neural network is developed to operationally estimate biophysical variables over land
surfaces from the observations of the ENVISAT-MERIS instrument: the leaf area index (LAI) …
surfaces from the observations of the ENVISAT-MERIS instrument: the leaf area index (LAI) …