Geoscience and remote sensing

Advanced techniques using high resolution hyperspectral remote sensing data has recently evolved as an emerging tool with potential to aid mineral exploration. In this study, pertinently, five mosaicked scenes of Airborne Visible InfraRed Imaging Spectrometer-Next Generation (AVIRIS-NG) hyperspectral data of southeastern parts of the Aravalli Fold belt in Jahazpur area, Rajasthan, were processed. The exposed Proterozoic rocks in this area is of immense economic and scientific interest because of richness of poly-metallic mineral resources and their unique metallogenesis. Analysis of high resolution multispectral satellite image reveals that there are many prominent lineaments which acted as potential conduits of hydrothermal fluid emanation, some of which resulted in altering the country rock. This study takes cues from studying those altered minerals to enrich our knowledge base on mineralized zones. In this imaging spectroscopic study we have identified different hydrothermally al...

An improved model for the microwave brightness temperature seen from space over calm ocean is presented. This model can be divided into two sub-models, the atmospheric absorption model and the ocean surface emissivity model. An improved model for the absorption of the atmosphere near the 22 GHz water vapor line is

This paper explores how algorithms can effectively be applied on high-resolution (e.g. Quickbird) images and more recent hyperspectral images (e.g. AVIRIS) in the analysis and characterization of urban sprawl. Fusion of such datasets [1]; [2] provides a platform for robust and more accurate classification of urban environments, as the strengths of both datasets are combined to improve the accuracy of results. Multi-temporal image sets are interpreted to detect and quantify changes in the degree of spatial concentration (density), level of dispersion and patterns of urban landscape development along selected major transport routes in the Gauteng Global City Region, as an indicator of changes in urban sprawl [4]. Map density values are computed by dividing number of built-up area pixels to the total number of pixels in a kernel. This when applied to classified satellite imagery converts land cover classes to building density classes. Density classes were further grouped as low, medium...

Recently, indoor target localization became an area of interest due to its diverse applications. In indoor target localization, surrounding environment creates multipath components, which can be exploited to aid in localization process. A number of studies have been proposed to employ multipath exploitation in localizing indoor targets. However, their localization errors can still be improved. This study proposed a new localization model based on multipath exploitation techniques by using triangulation method. Ultra-wide band signals were resolved and associated using marginal antenna-based scheme. The estimate of the target location was then obtained using measured round-trip time delays. The location was determined by applying the simple trigonometry on the triangle in which real radar, virtual radars, and the target location are the vertices of the triangle in question. Simulation results show that the proposed method has improved the localization error over a wide range of timin...

ICER-3D is a progressive, wavelet-based compressor for hyperspectral images. ICER-3D is derived from the ICER image compressor. ICER-3D can provide loss- less and lossy compression, and incorporates an error-containment scheme to limit the effects of data loss during transmission. The three-dimensional wavelet decom- position structure used by ICER-3D exploits correlations in all three dimensions of hyperspectral data sets, while facilitating

Different optical data are available at JRC database, covering partly the same time period. The idea of this paper was to extract monthly mean data from the geoportal from different satellites for the same location in the open middle Adriatic Sea and compare them with each other and with the in-situ optically weighted monthly chlorophyll pigments. The correlation coefficients were calculated between various optical data retrieved from the satellites like Chlorophyll data from SeaWiFS, MODIS and MERIS diffuse attenuation coefficient, absorption coefficient, particulate backscattering coefficient and euphotic zone depth with the monthly in-situ chlorophyll and Secchi disk transparency.