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An Improved Generalized Hierarchical Estimation Framework with Geostatistics for Mapping Forest Parameters and Its Uncertainty: A Case Study of Forest Canopy Height
forest up-scaling regression kriging uncertainty LiDAR
2023/12/1
Forest canopy height is an essential parameter in estimating forest aboveground biomass (AGB), growing stock volume (GSV), and carbon storage, and it can provide necessary information in forest manage...
UNCERTAINTY VISUALIZATION APPROACHES FOR 3D MODELS OF CASTLES RESTITUTED FROM ARCHEOLOGICAL KNOWLEDGE
Restitution Uncertainty visualization Archeological knowledge
2019/3/2
In the cultural heritage field, several specialists like archaeologists, architects, geomaticians, historians, etc. are used to work together. With the upcoming technologies allowing to capture effici...
IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA
ALS Digital Elevation Model DoD Volume estimation landslide airborne sensor
2018/4/18
The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landsli...
UNCERTAINTY IN LANDSLIDES VOLUME ESTIMATION USING DEMs GENERATED BY AIRBORNE LASER SCANNER AND PHOTOGRAMMETRY DATA
ALS Digital Elevation Model DoD Volume estimation landslide airborne sensor
2018/5/8
The purpose of this paper is to identify an approach able to estimate the uncertainty related to the measure of terrain volume generated after a landslide. The survey of the area interested of landsli...
UNCERTAINTY ASSESSMENT AND WEIGHT MAP GENERATION FOR EFFICIENT FUSION OF TANDEM-X AND CARTOSAT-1 DEMS
Accuracy assessment Data fusion Predicted weight map Artificial Neural Network TanDEM-X DEM Cartosat-1 DEM
2017/7/13
Recently, with InSAR data provided by the German TanDEM-X mission, a new global, high-resolution Digital Elevation Model (DEM) has been produced by the German Aerospace Center (DLR) with unprecedented...
Optimal allocation of production resources under uncertainty:Application of the muliticriteria approach
farm-level production planning goal programming mathematical programming risk aversion risk modelling
2017/2/21
Analysing economic efficiency of farm production always faces a problem of insufficient information. This is particularly true when the analysis is performed on the reference farm where estimates are ...
UNCERTAINTY ASSESSMENT OF GLOBELAND30 LAND COVER DATA SET OVER CENTRAL ASIA
GlobeLand30 land cover remote sensing accuracy Central Asia
2016/12/1
GlobeLand30, the world’s first 30m-resolution global land cover data set, has recently been issued for research on global change at a fine resolution. Given the accuracy of GlobeLand30 data may show s...
Influence of rainfall data on the uncertainty of flood simulation
calibration GLUE method model quality rainfall-runoff model
2016/8/2
The aim of this paper was to determine the influence of factors related to rainfall data on the uncertainty flood simulation. The calculations were based on a synthetic unit hydrograph NRCS-UH. Simula...
UNCERTAINTY PROPAGATION FOR TERRESTRIAL MOBILE LASER SCANNER
Mobile mapping Laser scanner Uncertainty propagation Error ellipsoid
2016/7/27
Laser scanners are used more and more in mobile mapping systems. They provide 3D point clouds that are used for object reconstruction and registration of the system. For both of those applications, un...
STUDY ON MODELING AND VISUALIZING THE POSITIONAL UNCERTAINTY OF REMOTE SENSING IMAGE
uncertainty remote sensing geometric correction
2016/7/8
It is inevitable to bring about uncertainty during the process of data acquisition. The traditional method to evaluate the geometric positioning accuracy is usually by the statistical method and repre...
Model Uncertainty and Policy Choice:A Plea for Integrated Subjectivism
models decision theory subjectivism climate science economics policy
2016/6/13
A question at the intersection of scientific modeling and public choice is how to deal with uncertainty about model predictions. This "high-level" uncertainty is necessarily value-laden, and thus must...
Comparison of Uncertainty Between Traditional and Alternative Methods for Food Microbiological Analysis
Traditional and Alternative Food Microbiological Analysis
2016/6/2
The objectives highlighted in the present study were to determine the estimates of measurement uncertainty associated with microbiological analysis in food samples performing a gage repeatability and ...
Stem cells are defined by capacities for both self-renewal and differentiation. Many different entities satisfy this working definition. Explicating the stem cell concept reveals it to be relational a...
Segmentation of remotely sensed images based on the uncertainty of multispectral classification
Segmentation remotely sensed images uncertainty multispectral classification
2016/5/20
Since the launch of high-resolution sensors, the use of satellite images as a major source of spatial information has been the subject of extensive research in a broad range of applications. In partic...