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This research was conducted to derive forest sample plot inventory parameters from terrestrial LiDAR (T-LiDAR) for estimating above ground biomass (AGB)/carbon stocks in primary tropical rain forest. ...
The estimation of dendrometric parameters has become an important issue for the agricultural planning and management. Since the classical field measurements are time consuming and inefficient, Airborn...
Annual cycle parameters (ACP) provide a global climatology of annual land surface temperature (LST) based on daily 1 km MODIS observations. These are based on a simple model of the annual temperature ...
Soil moisture is important to enable the growth of vegetation in the way that it also conditions the development of plant population. Additionally, its assessment is important in hydrology and agronom...
Soil expansiveness is a major problem that need due attention in geotechnical investigations. It can detrimentally influence performance and life time of lightweight engineering infrastructures. For t...
When we estimate the land surface variables by remote sensing model inversion, a priori knowledge is needed for given the initial values of the model parameters to be retrieved. In this paper, based o...
In this paper, we analyze synthetic aperture radar (SAR) interferograms derived from Envisat radar data. Use of interferograms from both ascending and descending satellite passes enables usto indicate...
Vegetation spatial structure including plant height, biomass, vertical and horizontal heterogeneity, is an important factor influencing the exchanges of matter and energy between landscape and atmosph...
The work reports validation of numerical weather forecasts (NWF), QuikSCAT-based wind speed and AMSR-E sea surface temperature (SST) for the surface atmospheric boundary layer in the Indian sector of ...
In this paper, our recent research mainly focuses on the application of the drought monitoring using the cloud parameters method for the drought monitoring of China. In order to apply this method for ...
The main purpose of this study was to assess the effect of ecosystem classification systems at various scales on environmental parameters using remote sensing techniques. The processes included applyi...
Virtually all segmentation methods require parameter tuning, quite a difficult task, mostly performed manually through a troublesome trial-and-error process. To overcome this difficulty, an earlier ...
Methods of estimating stemwood volume from ICESat/ GLAS lidar waveforms are explored for a mixed temperate forest, the Forest of Dean, Gloucestershire, UK. Previous methods have used maximum canopy he...
The objective of this study is to test the feasibility of nation-wide medium footprint airborne laser scanning (ALS) data forderivation of forest parameters. The comparison of canopy closure as one im...
This paper describes a model for the consistent estimation of building parameters that is a part of a method for automatic building reconstruction from airborne laser scanner (ALS) data. The adjustmen...

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