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A review of the status of satellite remote sensing and image processing techniques for map** natural hazards and disasters
In the event of a natural disaster, remote sensing is a valuable source of spatial information
and its utility has been proven on many occasions around the world. However, there are …
and its utility has been proven on many occasions around the world. However, there are …
Remote-sensing image analysis and geostatistics
The random function theory forms the basis of geostatistics and allows modelling of the
uncertainty associated with spatial estimation and simulation. Remote sensing involves …
uncertainty associated with spatial estimation and simulation. Remote sensing involves …
Remote sensing and earthquake damage assessment: Experiences, limits, and perspectives
In this paper, a survey of the techniques and data sets used to evaluate earthquake
damages using remote sensing data is presented. After a few preliminary definitions about …
damages using remote sensing data is presented. After a few preliminary definitions about …
Building-damage detection using pre-and post-seismic high-resolution satellite stereo imagery: A case study of the May 2008 Wenchuan earthquake
To address the disadvantage of traditional methods providing only two-dimensional (2D)
damage change of the collapsed buildings, this paper presents an approach for the …
damage change of the collapsed buildings, this paper presents an approach for the …
[PDF][PDF] Impacts of land cover data quality on regional climate simulations
The land surface influences local, regional and global climate across many time scales.
Accurate representation of land surfaces is an important factor for climate modelling studies …
Accurate representation of land surfaces is an important factor for climate modelling studies …
Extraction of urban building damage using spectral, height and corner information from VHR satellite images and airborne LiDAR data
Earth observation-based damage assessment has been widely studied in recent years.
Considering that the height and spatial variability of buildings change significantly in …
Considering that the height and spatial variability of buildings change significantly in …
Remote sensing contributing to assess earthquake risk: from a literature review towards a roadmap
Remote sensing data and methods are widely deployed in order to contribute to the
assessment of numerous components of earthquake risk. While for earthquake hazard …
assessment of numerous components of earthquake risk. While for earthquake hazard …
Definition of a comprehensive set of texture semivariogram features and their evaluation for object-oriented image classification
In this paper, a comprehensive set of texture features extracted from the experimental
semivariogram of specific image objects is proposed and described, and their usefulness for …
semivariogram of specific image objects is proposed and described, and their usefulness for …
Spatial interpolation of climatic variables using land surface temperature and modified inverse distance weighting
Accurate spatial interpolation (SI) of climate data is vital for the management and
supervision of natural resources and agriculture. Owing to the lack of an adequate number …
supervision of natural resources and agriculture. Owing to the lack of an adequate number …
Characterizing spatial representativeness of flux tower eddy-covariance measurements across the Canadian Carbon Program Network using remote sensing and …
We describe a pragmatic approach for evaluating the spatial representativeness of flux
tower measurements based on footprint climatology modeling analyses of land cover and …
tower measurements based on footprint climatology modeling analyses of land cover and …