Very High Resolution (VHR) satellite images offer a great potential for the extraction of landuse and land-cover related information for urban areas. The available techniques are diverse and need to be further examined before operational use is possible. In this paper we applied two pixel-by-pixel classification techniques and the object-oriented image analysis approach (eCognition) for a land-...

Population estimation was carried out using high-resolution (20 metres) multispectral satellite data (SPOT) in the Kowloon metropolitan area of Hong Kong, which is characterised by high population density and multipurpose high-rise buildings. The smallest areal unit for census data Tertiary Planning Unit (TPU) -was used to aggregate population. With the aid of a raster GIS (IDRISI) and a vector...

The use of remote sensing to monitor rapidly growing cities is challenging due to the dynamics of the landscape. Mapping of these land cover changes calls for an integrated algorithm that can detect both when and where changes occur but also which land covers are involved in the land conversion. The proposed method aims at improving the global observation of cities by taking into account simult...

Land surface temperature (LST) is an essential factor in many areas like global climate change studies, urban land use/land cover, geo-/biophysical and also a key input for climate models. LANDSAT 8, the latest satellite from LANDSAT series, has given lot of possibilities to study the land processes using remote sensing. In this study an attempt has been made to estimate LST over Chittoor distr...

Several techniques exist for remote sensing (RS) image classification, which includes supervised and unsupervised approaches. Classified maps are the main product of remote sensing image classification. Accuracy assessment of these classified maps is one of the foremost and important tasks of RS image classification technique. Without accuracy assessment the quality of map or output produced wo...

Background: Satellite images are being used in many fields of research mainly for monitoring the remote areas for analyzing the environmental conditions, land and water resource monitoring etc., these images are affected by clouds and electromagnetic radiation which results in poor perception of image. Objective: To analyze the satellite image, improvement in the resolution of the image and als...

Panchromatic (PAN) satellite imagery has been used successfully in different applications such as topographic mapping and terrain modelling. Nevertheless, PAN imagery is still one of the less used digital sources for land-change studies except few processes where the high-resolution of the PAN images is used to improve the visualization quality of the multi-spectral images. This research aimed ...