3 research outputs found
Evaluation of MODIS data for mapping oil slicks - the deepwater horizon oil spill case
Moderate Resolution Imaging Spectroradiometer (MODIS) multispectral imagery is used for oil spills mapping as an integration to radar data. MODIS images of the northern Gulf of Mexico (USA) are analyzed to study the sea anomalies from visible to thermal infrared in order to detect a reported oil slick. A simple Fluorescence/Emissivity Index and RGB false color bands combination are applied to detect fluorescence and emissivity anomalies due to oil spills in particular sun glint conditions. A monitoring system of sea surface may be built using high temporal resolution imagery as MODIS data. Applying the proposed index and RGB bands combination, also suitable on night-time overpasses, it’s possible to further increase the availability of clouds free images using optical sensors
Multivariate Differencing Techniques for Land Cover Change Detection: the Normalized Difference Reflectance Approach
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Optimal spectral band configuration for forest land-cover classification of hyperspectral data: a study for the Italian-Canadian Joint Hyperspectral Mission
In 2006 the Italian and the Canadian Space Agencies started a collaboration to evaluate the feasibility of the Joint Hyperspectral Mission (JHM), a new mission for Earth Observation devoted to environmental applications. JHM was designed to operate with a 30 m resolution hyperspectral sensor able to collect 210 narrow spectral bands in the range of 400-2500 nm. This paper presents a study carried on for the Italian Space Agency during Phase A, aimed to suggest an optimal spectral setup for the land-cover key application. Just referring to the mapping of forest species, results on simulated JHM data suggested that an optimal configuration can be obtained using a 50 nm bandwidth