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We present an attempt to apply the spectral invariant approach to canopy scattering of a complex forest canopy. Spectral invariant theory describes a method of expressing photon scattering as a funct...
The concept of using spectral invariants to describe the scattering and absorption processes in a vegetation canopy has been developed for application to remote sensing studies in recent years. It ha...
validation of dtms beneath forest canopy derived from p-band polarimetric insar.
Biomass is one of the key biophysical variables of interest in vegetation studies and it can be defined in terms of fresh matter weight or dry matter weight. Biogeochemical processes, such as photosy...
The position of the inflexion point in the red edge (680 nm to 780 nm), termed the red-edge position (REP) has been used as a measure to estimate foliar chlorophyll or nitrogen content. In this study...
Remotely sensed images including LANDSAT, SPOT, NAIP orthoimagery, and LiDAR and relevant processing tools can be used to predict plant stomatal conductance (gs), leaf area index (LAI), and canopy tem...
Fire researchers and managers need accurate, reliable, and efficiently-obtained data for the development and application of crown fire behavior models. In particular, reliable estimates of critical ...
Active remote sensing technologies, including interferometric radar (InSAR) and airborne laser scanning (LIDAR) have the potential to provide accurate information relating to three-dimensional fores...
Lidar and digital stereo-photogrammetry techniques are being developed to improve on current methods used to map forest canopy height. Contrary to lidar, the latter technique is limited in that is d...
It has been demonstrated that the height of forest canopies can be measured with a good accuracy using small footprint lidars. This is essentially accomplished by subtracting the last return altitude ...
Previous studies have shown that canopy metrics from lidar data are highly correlated with aboveground biomass in a variety of closedcanopy forests, however the generality of these site-specific relat...
Remotely sensed images including LANDSAT, SPOT, NAIP orthoimagery, and LiDAR and relevant processing tools can be used to predict plant stomatal conductance (gs), leaf area index (LAI), and canopy tem...
Synthetic Aperture Radar (SAR) sensors have great potential for a wide range of agricultural applications, owing to their capability of all-weather observation. It is particularly useful in tropical r...
Full-waveform airborne laser scanning offers a great potential for various forestry applications. Especially applications requiring information on the vertical structure of the lower canopy parts bene...

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