 Abstract— Satellite Remote sensing with repetitive and pan viewing and multispectral capabilities, is a powerful tool for mapping and monitoring the ecological changes. Analysis of the remote sensing data is faced with a number of challenges ranging from type of sensors, number of sensors, spectral responses of satellite sensors, resolutions in different domains and qualitative and quantitati...

In Part I of this paper, an operational fully automated Landsat-like image spectral rule-based decision-tree classifier (LSRC), suitable for mapping radiometrically calibrated sevenband Landsat-4/-5 Thematic Mapper (TM) and Landsat-7 Enhanced TM+ (ETM+) spaceborne images [eventually synthesized from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Moderate Reso...

Image resampling is frequently employed in geometric correction as a part of preprocessing of a remotely sensed image. The resampled images will have a noticeable change in image quality, which may have an adverse impact on the accuracy of subsequent image analysis for information extraction. Information of edges is very important, especially in high spatial resolution imagery. The present stud...

* Corresponding author. **This research is supported by the Russian Foundation of Basic Research (grants 03-01-00812, 04-07-90350) and Presidium of Far-East Branch Russian Academy of Sciences. Abstract This paper is devoted to description of some experience in reception and processing satellite information of the Chinese meteorological satellites FengYun. Geostationary satellite FY-2B is an ana...

estimation of vegetation cover attributes, such as the leaf area index (lai), is an important step in identifying the amount of water use for some plants. the goal of this study is to investigate the feasibility of using irs liss-iii data to retrieve lai. to get a lai retrieval model based on reflectance and vegetation index, detailed field data were collected in the study area of eastern iran....

Clustering is an unsupervised classification that aims to classify an image into homogeneous regions. We have proposed a hierarchical content based image clustering algorithm to automatically cluster the remote sensing satellite image. The performance evaluation of this algorithm is done with reference to the LISS 4 sensor imagery of IRS-P6 satellite. Centroid of the clusters is uniformly distr...

In general, built-up areas or populated places are significantly changing within the revision interval of a GIS (Geographic Information System) or map. In this paper we present a method by means of which built-up areas are extracted from panchromatic satellite images of SPOT and IRS-1C and which makes use of the available information about built-up areas in the GIS. The method has been develope...