نتایج جستجو برای: hyperspectral remote sensing
تعداد نتایج: 200437 فیلتر نتایج به سال:
1. Introduction The quality standards for transportation infrastructure have evolved considerably over the last three decades. The data accuracy requirements to support road management have decreased from tens of meters to a few decimeters with annual update rates. Roads are prioritized for maintenance and treatment as a result of pavement inspections. The cost of frequent, comprehensive inspec...
Rapid advancement in remote sensing open new avenues to explore the hyperspectral Hyperion imagery pre-processing techniques, analysis and application for land use mapping. The hyperspectral data consists of 242 bands out of which 196 calibrated/useful bands are available for hyperspectral applications. Atmospheric correction applied to the hyperspectral calibrated bands make the data more usef...
Hyperspectral imaging is a new technique in remote sensing which generates hundreds of images (at different wavelength channels) for the same area on the surface of the Earth. Each pixel collected by a hyperspectral remote sensing instrument is in fact a spectral signature of the underlying materials. Many algorithms attempt to find pure spectral signatures in the image data, called endmembers,...
This paper uses the Special Issue of the International Journal of Remote Sensing on Remote Sensing of the Coastal Marine Environment to highlight recent advances in knowledge of remote sensing of the coastal zone and to define a series of priorities where future research into the application should be addressed. Advances were identified in the benefit of high spatial and spectral resolution dat...
An increasingly common requirement in remote sensing is the integration of hyperspectral data collected simultaneously from different sensors (and fore-optics) operating across different wavelength ranges. Data from one module are often relied on to correct information in the other, such as aerosol optical thickness (AOT) and columnar water vapor (CWV). This paper describes problems associated ...
Forest management is an important and complex process, which has significant implications on the environment (e.g. protection of biological diversity, climate mitigation) and the economy (e.g. estimation of timber volume for commercial usage). An efficient management requires a very detailed knowledge of forest attributes such as species composition, trees stem volume, height, etc. Hyperspectra...
A strong positive correlation between vegetation canopy bidirectional reflectance factor (BRF) in the near infrared (NIR) spectral region and foliar mass-based nitrogen concentration (%N) has been reported in some temperate and boreal forests. This relationship, if true, would indicate an additional role for nitrogen in the climate system via its influence on surface albedo and may offer a simp...
Information of spatial and temporal variations of soil quality (soil properties) is required for various purposes of sustainable agriculture development and management. Traditionally, soil quality characterization is done by in situ point soil sampling and subsequent laboratory analysis. Such methodology has limitation for assessing the spatial variability of soil quality. Various researchers i...
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