Add to ORKGThe sampling of ground data cover has presented problems for many years. Investigators have found that they cannot afford the resources they require to achieve the precision that they desire. In a similar way, investigators today are finding that they cannot afford to process the vast volumes of data produced by remote sensing systems. It is thus likely that the image itself will need re-sampling. Thanks to regionalised variable theory there is now a means by which to optimise this sampling
The estimation of the proportion of land-cover and land-use classes is considered by exploiting remo...
The objective of this paper is to examine the applicability of two geostatistical approaches, ordina...
Sampling strategy of integrated ground data for remote sensing. — When the integration of ground dat...
Remote sensing investigations often involve sampling on the ground to estimate the mean of some prop...
In order to achieve wider acceptance among users of thematic maps derived from remote sensing data, ...
The efficiency of area sample designs is influenced by the number of sampling stages, the size of sa...
The support is a geostatistical term used to describe the size, geometry and orientation of the spac...
During time of fast development of computer and sensor technology, ground data sampling strategies h...
In planning a sampling regime, it is desirable that the sampling procedure should involve minimum es...
A major difficulty in remote sensing is handling the many data from sensors aboard aircraft and sate...
In the remote sensing survey of the country land, cost and accuracy are a pair of conflicts, for whi...
In geostatistics, spatial autocorrelation is utilized to estimate optimally local values from data s...
A geostatistical survey for soil requires rational choices regarding the sampling strategy. If the v...
In this paper, the MODIS remote sensing data, featured with low-cost, high-timely and moderate/low s...
This thesis presents statistical sampling scheme optimization for geo-environ-menta] purposes on the...
The estimation of the proportion of land-cover and land-use classes is considered by exploiting remo...
The objective of this paper is to examine the applicability of two geostatistical approaches, ordina...
Sampling strategy of integrated ground data for remote sensing. — When the integration of ground dat...
Remote sensing investigations often involve sampling on the ground to estimate the mean of some prop...
In order to achieve wider acceptance among users of thematic maps derived from remote sensing data, ...
The efficiency of area sample designs is influenced by the number of sampling stages, the size of sa...
The support is a geostatistical term used to describe the size, geometry and orientation of the spac...
During time of fast development of computer and sensor technology, ground data sampling strategies h...
In planning a sampling regime, it is desirable that the sampling procedure should involve minimum es...
A major difficulty in remote sensing is handling the many data from sensors aboard aircraft and sate...
In the remote sensing survey of the country land, cost and accuracy are a pair of conflicts, for whi...
In geostatistics, spatial autocorrelation is utilized to estimate optimally local values from data s...
A geostatistical survey for soil requires rational choices regarding the sampling strategy. If the v...
In this paper, the MODIS remote sensing data, featured with low-cost, high-timely and moderate/low s...
This thesis presents statistical sampling scheme optimization for geo-environ-menta] purposes on the...
The estimation of the proportion of land-cover and land-use classes is considered by exploiting remo...
The objective of this paper is to examine the applicability of two geostatistical approaches, ordina...
Sampling strategy of integrated ground data for remote sensing. — When the integration of ground dat...