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Combining agricultural crop models and satellite observations: from field to regional scales
S Moulin, A Bondeau, R Delecolle - International Journal of …, 1998 - Taylor & Francis
This review article gives an overview of how satellite observations are used to feed or tune
crop models and improve their capability to predict crop yields in a region. Relations …
crop models and improve their capability to predict crop yields in a region. Relations …
Soil‐and plant‐based nitrogen‐fertilizer recommendations in arable farming
HW Olfs, K Blankenau, F Brentrup… - Journal of Plant …, 2005 - Wiley Online Library
Under‐as well as overfertilization with nitrogen (N) will result in economic loss for the farmer
due to reduced yields and quality of the products. Also from an ecological perspective, it is …
due to reduced yields and quality of the products. Also from an ecological perspective, it is …
Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
A growing number of studies have focused on evaluating spectral indices in terms of their
sensitivity to vegetation biophysical parameters, as well as to external factors affecting …
sensitivity to vegetation biophysical parameters, as well as to external factors affecting …
Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
NH Broge, E Leblanc - Remote sensing of environment, 2001 - Elsevier
Hyperspectral reflectance data representing a wide range of canopies were simulated using
the combined PROSPECT+ SAIL model. The simulations were used to study the stability of …
the combined PROSPECT+ SAIL model. The simulations were used to study the stability of …
Towards universal broad leaf chlorophyll indices using PROSPECT simulated database and hyperspectral reflectance measurements
Fifty-three leaves were randomly sampled on different deciduous tree species, representing
a wide range of chlorophyll contents, tree ages, and leaf structural features. Their reflectance …
a wide range of chlorophyll contents, tree ages, and leaf structural features. Their reflectance …
An assessment of satellite remotely-sensed land cover parameters in quantitatively describing the climatic effect of urbanization
TW Owen, TN Carlson, RR Gillies - International journal of remote …, 1998 - Taylor & Francis
The regional-scale climatic impact of urbanization is examined using two land cover
parameters, fractional vegetation cover (Fr) and surface moisture availability (M0). The …
parameters, fractional vegetation cover (Fr) and surface moisture availability (M0). The …
LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements
The study shows that leaf area index (LAI), leaf chlorophyll content (LCC) and canopy
chlorophyll content (CCC) can be mapped in a heterogeneous Mediterranean grassland …
chlorophyll content (CCC) can be mapped in a heterogeneous Mediterranean grassland …
Deriving green crop area index and canopy chlorophyll density of winter wheat from spectral reflectance data
NH Broge, JV Mortensen - Remote sensing of environment, 2002 - Elsevier
Spectral vegetation indices (VIs) are frequently used to estimate the amount of live green
canopy material. They have generally been developed as an attempt to reduce spectral …
canopy material. They have generally been developed as an attempt to reduce spectral …
A generalized soil-adjusted vegetation index
Operational monitoring of vegetative cover by remote sensing currently involves the
utilisation of vegetation indices (VIs), most of them being functions of the reflectance in red …
utilisation of vegetation indices (VIs), most of them being functions of the reflectance in red …
Estimation of green grass/herb biomass from airborne hyperspectral imagery using spectral indices and partial least squares regression
The main objective was to determine whether partial least squares (PLS) regression
improves grass/herb biomass estimation when compared with hyperspectral indices, that is …
improves grass/herb biomass estimation when compared with hyperspectral indices, that is …