Choosing rationally the spatial resolution for remote sensing requires a formal relation between the size of support and some measure of the information content. The local variance in the image has been used to help choose an appropriate spatial resolution. Here we choose spatial resolutions to map continuous variation in properties, such as biomass, using the variogram. The experimental variogram can be separated into components of underlying spatially dependent variation and measurement error. The spatially dependent component can be deregularized to a punctual support, and then regularized to any spatial resolution. The regularized variogram summarizes the information attainable by imaging at that spatial resolution because information e...
The spatial resolution determines the number of data and amount of information in a remotely sensed ...
Satellite remote sensing is an invaluable tool to monitor agricultural resources. However, spatial p...
The prime objective of this study was to propose and test a method to identify the optimal spatial r...
Extraction of information from remotely sensed images would greatly benefit from increased use of sp...
A measurement may be thought of as comprising the true or underlying value of a property (informatio...
Previously, researchers have regularized (increased the spatial resolution of) remotely sensed image...
Prior to acquiring remotely sensed imagery with which to map land cover investigators may wish to se...
The support is a geostatistical term used to describe the size, geometry and orientation of the spac...
Recently, the variogram has been used to represent the spatial dependence in remotely sensed data ob...
Recently, the variogram has been used to represent the spatial dependence in remotely sensed data ob...
Abstract—Remote sensing provides multiscale image data to monitoring the earth surface. The spatial ...
The resolution of remotely sensed data is becoming increasingly fine, and there are now many sources...
Super-resolution mapping (SRM) is a recently developed research task in the field of remotely sensed...
Spatial structure information characterized from remotely sensed imagery can be used in various appl...
The spatial structures displayed by remote sensing imagery are essential information characterizing ...
The spatial resolution determines the number of data and amount of information in a remotely sensed ...
Satellite remote sensing is an invaluable tool to monitor agricultural resources. However, spatial p...
The prime objective of this study was to propose and test a method to identify the optimal spatial r...
Extraction of information from remotely sensed images would greatly benefit from increased use of sp...
A measurement may be thought of as comprising the true or underlying value of a property (informatio...
Previously, researchers have regularized (increased the spatial resolution of) remotely sensed image...
Prior to acquiring remotely sensed imagery with which to map land cover investigators may wish to se...
The support is a geostatistical term used to describe the size, geometry and orientation of the spac...
Recently, the variogram has been used to represent the spatial dependence in remotely sensed data ob...
Recently, the variogram has been used to represent the spatial dependence in remotely sensed data ob...
Abstract—Remote sensing provides multiscale image data to monitoring the earth surface. The spatial ...
The resolution of remotely sensed data is becoming increasingly fine, and there are now many sources...
Super-resolution mapping (SRM) is a recently developed research task in the field of remotely sensed...
Spatial structure information characterized from remotely sensed imagery can be used in various appl...
The spatial structures displayed by remote sensing imagery are essential information characterizing ...
The spatial resolution determines the number of data and amount of information in a remotely sensed ...
Satellite remote sensing is an invaluable tool to monitor agricultural resources. However, spatial p...
The prime objective of this study was to propose and test a method to identify the optimal spatial r...