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Estimation of forest carbon storage is a critical challenge for understanding the global carbon cycle because it dominates the dynamics of the terrestrial carbon cycle. Light Detection and Ranging (Li...
As a developing country, China is now undergoing a quick process of urbanization. Therefore, understand ing and managing the urban environment is a prerequisite for addressing sustainability, which is...
The aim of this study is calculation of sea surface currents (SSCs) which are estimated from satellite data sets and processed with the variance component estimation (VCE) algorithm to check role of e...
A METHOD OF DIRECTLY ESTIMATING STEMWOOD VOLUME FROM GLAS WAVEFORM PARAMETERS     Lidar  Satellite  Vegetation  Forestry  Inventory       font style='font-size:12px;'> 2015/11/10
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...
Currently the UAV (Unmanned Aerial Vehicle) have become an alternative for different engineering applications, especially in surveying, one of these applications is the calculation of volumes of stock...
The mapping of nearshore bathymetry based on spaceborne radiometers is commonly used for QC ocean colour products in littoral waters. However, the accuracy of these estimates is relatively poor with r...
Surface longwave radiation budget components, including surface upwelling longwave radiation (SULR), surface downwelling longwave radiation (SDLR), and surface net longwave radiation (SNLR), are imp...
Sun and sensor geometry cause directional effects in remotely sensed reflectance data which can influence the estimation of biophysical and biochemical variables. Previous studies have indicated that...
The purpose of the present study is the validation of the ASTER images through the indirect estimation of several parameters of dry crops cover. Since 1999 the Department of Geography of the Universi...
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an alternative to the well known RANSAC strategy. GOODSAC’s search for a prop...
This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas...
GOODSAC is a paradigm for estimation of model parameters given measurements that are contaminated by outliers. Thus, it is an alternative to the well known RANSAC strategy. GOODSAC’s search for a prop...
This paper describes an algorithm in order to derive DTMs (Digital Terrain Models) from correlation DSMs (Digital Surface Models) and above-ground (buildings and vegetation) masks in dense urban areas...
We used multi-sensor, multi-frequency and multi-polarization SAR data for biophysical parameter retrieval in plantation forests of Northern Japan. The statistical relationships with different biophys...
Information on the structural complexity of forest stands is required to inform conservation priorities that guide the sustainable management of private native vegetation for multiple objectives of l...

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