digital elevation model (dem) is increasingly used these days as an effective tool to extract elevation data in quantitative environmental and land management studies. the improvement of sensors and land resource satellites has made it possible to generate dem from remotely sensed data. dems which are produced from these data are applied not only in the two dimensional (2d) but also in the thre...

The comparison between aerial photographs and satellite images, with regard to their performance, is strongly actual: in fact, advantages and defects of both are well known. In the past , low spatial resolution of satellite images was a limit in cartographical applications : now, the recent orbital platform are improving the data quality and, at the same time, make very large ground coverage po...

Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM), one of onboard sensors carried by Advanced Land Observing Satellite (ALOS), was designed to generate worldwide topographic data with its optical stereoscopic observation. It has an exclusive ability to perform a triplet stereo observation which views forward, nadir, and backward along the satellite track in 2.5 m ground resoluti...

The term ―feature‖ in Remote Sensing Image (RSI) takes its specific definition from the objective and scope of the study by the analyst. In spatial data mining using remote sensing satellite data, features mainly indicate objects constituting natural resources such as land, water and sea. This may broadly encompass vegetation, land condition, water quality, extent and types of vegetation and co...

an important factor in sustainable agriculture and economic management is to calculate areas under different crops that the inputs of agriculture connect to this topic. planning of agricultural mechanization, fertilizer and pesticide requirements, pests and diseases control, estimates of agricultural production, income and tax and financial planning, all linked to the cultivated areas and estim...

A nonparametric Bayesian classification, based on a recently published very fast algorithm for multivariate density estimation is proposed. The classifier is applied to the problem of land cover type recognition of remote sensing data. A 7 channel satellite image of a region of North Bulgaria is used as input data. The procedure of object recording at a distance, forming the image by recording ...

SUMMARY One of the main parameter for urban heat island mapping is the land cover information. Satellite data were used to map the land cover over the study area, CyberJaya. Remotely sensed data were processed using pixel based and object based image processing techniques. Most traditional classification approaches are based exclusively on the digital number of the pixel itself. Thereby only th...