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  • 1
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    Geological classification of Volcano Teide by hyperspectral and multispectral satellite data (2012)
    Taylor & Francis
    Details
    Publication Date: 2012-10-30
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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    PAPER CURRENT
  • 2
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    The 2011 Tohoku (Japan) Tsunami Inundation and Liquefaction Investigated Through Optical, Thermal, and SAR Data (2013)
    Institute of Electrical and Electronics Engineers
    Details
    Publication Date: 2013-03-01
    Print ISSN: 1545-598X
    Electronic ISSN: 1558-0571
    Topics: Architecture, Civil Engineering, Surveying , Geography , Geosciences
    Published by Institute of Electrical and Electronics Engineers
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  • 3
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    The effects of vegetation coverage, topography and coastal orientation on the 2011 Tohoku-Oki (Japan) tsunami inundation investigated by satellite data (2012)
    Details
    Publication Date: 2017-04-04
    Description: We have studied the inland disastrous evidences of the tsunami triggered by the earthquake (M 9.0) occurred on March 11th, 2011 (at 05:46:23 UTC) offshore the coast of Honshu island (Japan). This large earthquake has been generated along the subduction plate boundary between the Pacific and the North America plates. The followed destructive tsunami caused casualties and severe damages along the coastline of most of Honshu Island. The dataset used in this work is composed of data in the visible spectral range, provided by ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer) and Hyperion sensors, while for the microwave we have taken advantage of the active sensors such as Synthetics Aperture Radar (SAR). The large amount of data available from different sensors onboard of different satellite missions have allowed to sample the gradual tsunami inundation receding during the days soon after it occurred. Unsupervised and supervised algorithms have been applied for land cover classification purposes, identifying and mapping the extent of the effects caused by the tsunami on the different land cover classes present on the scene nearby the Sendai coast. The change classes, which have been identified, are in particular the stressed vegetation, the structural/house damage, the flooded areas, the debris, the sand deposits and boulders. The synoptic view, which is peculiar of remote sensing satellite data, DTM analysis and the information extracted from such a broad spectral range data have allowed an analysis of the tsunami characteristics phenomenon, such as the minimum inundation distance and the minimum run-up, respect to physical characters of the coastal area, such as topography, vegetation coverage and coastal orientation. This study would contribute to the definition of the susceptible level of the coastal region to get devastated by tsunami wave.
    Description: Published
    Description: ESA ESRIN, Frascati (ITALY)
    Description: 1.10. TTC - Telerilevamento
    Description: restricted
    Keywords: ASTER Hyperion SAR Tsunami Earthquake classification change detection
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 4
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    The 2011 Tohoku-Oki (Japan) tsunami inundation and liquefaction investigated through optical, thermal and SAR data (2012)
    IEEE / Institute of Electrical and Electronics Engineers Incorporated
    Details
    Publication Date: 2017-04-04
    Description: We studied the disastrous effects of the tsunami triggered by the Mw 9.0 earthquake that occurred on 11 March 2011 offshore the Honshu island (Japan). The tsunami caused a huge amount of casualties and severe damage along most of the eastern coastline of the island. The dataset used is composed of images from ASTER (visible and thermal) and ENVISAT SAR sensors. The processing and the analysis of data from different sources were performed in order to obtain the tsunami inundation map of the Sendai coastal area, to analyze inland factors driving the tsunami inundation, and to detect the liquefaction effects in the Chiba bay area as well. The obtained inundation line, with a maximum value of about 6 km, has been jointly analyzed with DEM providing the run-up values, which are generally below 21 m in the ca. 60-km-long study area of Sendai. The analysis highlights that the coastal topography influences the inundation process: high-relief zones record the lowest inundation distances, while within the plain the waves entered inland for at least 4 km. We did not observe significant direct effects of the vegetation cover on the inland water penetration along the whole investigated area, nor of the different orientation of the coastline. Moreover, from SAR coherence and intensity correlation a wide area of subsidence is mapped at Chiba bay, which is reasonably related to strong ground shaking and pervasive liquefaction.
    Description: Published
    Description: 347-351
    Description: 1.10. TTC - Telerilevamento
    Description: JCR Journal
    Description: restricted
    Keywords: 2011 Japan tsunami ; wave inundation ; liquefaction ; SAR, Optical and Thermal data ; 04. Solid Earth::04.06. Seismology::04.06.06. Surveys, measurements, and monitoring
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 5
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    The effects of vegetation coverage, topography and coastal orientation on the 2011 Tohoku-Oki (Japan) tsunami inundation investigated by satellite data (2012)
    Details
    Publication Date: 2017-04-03
    Description: We have studied the disastrous effects of the tsunami triggered by the earthquake (M 9.0) occurred on March 11th, 2011 offshore the Honshu island (Japan). The tsunami caused a huge amount of casualties and severe damages along the coastline of most of the island. The dataset used is composed of data in the visible and thermal spectral range provided by ASTER sensors, and in the microwave range from the active SAR sensors by ENVISAT mission. The processing and the analysis of this large amount of data from different sensors was performed in order to obtain the tsunami inundation map of the Sendai coastal area. Unsupervised and supervised classification algorithms have been applied to provide land cover change detection maps. The identified classes are: stressed vegetation, infrastructure and structure damage, flooded and debris areas. A maximum value of the inundation, about 6 km, is found in the central portion of the Sendai plain and the distance drops to about 1 km at the edges of the plain. The maximum inundation line has been jointly analyzed with the ASTER DTM providing the run-up, values ranging from a minimum of few meters to a maximum of 35m. We point out that the high-relief and the slope gradient are the main inland factors influencing the inundation distance in the study sector, while the vegetation cover and the coastal strike do not significantly affect run-up and wave inundation.
    Description: Published
    Description: Frascati (Rome), Italy
    Description: 1.10. TTC - Telerilevamento
    Description: restricted
    Keywords: 2011 Tohoku-Oki Tsunami, Satellite Data, Topography ; 04. Solid Earth::04.04. Geology::04.04.11. Instruments and techniques
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: Poster session
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  • 6
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    Multi-resolution spectral analysis of wildfire potassium emission signatures using laboratory, airborne and spaceborne remote sensing (2012)
    Elsevier Inc NY Journals
    Details
    Publication Date: 2020-02-24
    Description: Thermal remote sensing studies of actively burning wildfires are usually based on the detection of Planckian energy emissions in the MIR (3–5 μm), LWIR (8–14 μm) and/or SWIR (1.0–2.5 μm) spectral regions. However, vegetation also contains a series of trace elements which present unique narrowband spectral emission lines in the visible and near infrared wavelength range when the biomass is heated to high temperatures during the process of flaming combustion. These spectral lines can be discriminated by detector systems that are less costly than the longer wavelength, actively cooled instruments more typically used in EO-based active fire studies. The main trace element resulting in the appearance of spectral emission lines appears to be potassium (K), with features at 766.5 nm and 769.9 nm. Here we study K-emission line spectral signature in laboratory scale fires using a field spectrometer, at a series of moderately-sized woodland and shrubland fires using airborne imagery from a new compact hyperspectral imager (HYPER–SIM.GA) operating at a relatively fine spectral sampling interval (1.2 nm), and at large open wildfires using the EO-1 satellite's Hyperion sensor. We derive a metric based on band differencing of the spectral signal both close to and outside of the K-line region in order to quantify the magnitude of the K-emission signature, and find that variations in this metric appear to track quite well with the commonly used measures of fire radiometric temperature and fire radiative power (FRP). We find that substantial flaming activity is required to generate a potassium emission signature, but that once present this can be detected using airborne remote sensing even through a substantial smoke layer that apparently obscures fire across the remainder of the VIS spectral range. Being specific to flaming combustion, detection of the K-emission line signature could prove useful in refining estimates of the gases released in open wildfires, since trace gas emission factors can vary substantially between flaming and smouldering stages. Finally, we demonstrate the first identification of the K-emission line signature from space using the EO-1 Hyperion instrument, but find it detectable only in certain instances. We conclude that a finer spectral and spatial resolution than that offered by Hyperion is required for improved detection performance. Nevertheless, our results point to the potential effectiveness of airborne and spaceborne K-emission signature detection as a complement to the more common thermal remote sensing approaches to wildfire detection and analysis. Sensors targeting this application should consider careful placement of the measurement wavelengths around the location of the K-line wavelengths, in part to minimise influences from the nearby oxygen A-band features.
    Description: Published
    Description: 1811–1823
    Description: JCR Journal
    Description: restricted
    Keywords: Potassium emission ; 05. General::05.04. Instrumentation and techniques of general interest::05.04.99. General or miscellaneous
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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  • 7
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    Estimation of Signal to Noise Ratio for Unsupervised Hyperspectral Images (2011)
    Istituto Nazionale di Geofisica e Vulcanologia
    Details
    Publication Date: 2017-04-04
    Description: Hyperspectral sensors have become a standard technology used in the techniques of observation by satellite and aerial platform for observing the terrestrial ecosystem with particular interest in the detection and identification of minerals, vegetation, materials and artificial environments. The detection of real materials depends on the coverage spectral resolution and signal to noise ratio of the spectrometer itself, as well as the density of the material and the absorption characteristics for the material in the region of wavelength measured. The signal to noise ratio in particular is one of the parameters that need to be estimated to establish the quality of images acquired by these systems. In this contribution a method to estimate the Signal to Noise Ratio (SNR) for unsupervised hyperspectral images has been investigated. The method uses the computation of local means and local standard deviations of small homogeneous blocks in order to define respectively the average signal and the mean noise of the images. If the noise may be considered mainly addictive the local standard deviation may be considered as the mean noise of image. This method uses all the spatial information contained in the image scene giving a representative SNR of entire image. The technique has been engineered in IDL environment and applied to hyperspectral data of HYPER-SIMGA sensor, developed in the frame of AIRFIRE Project for wildfire detection by airborne remote sensing data. The SNR results point out that HYPER-SIMGA SWIR images are quite noisy and the spectral range that has to be taken into account for data analysis is from 1000 to 1700 nm.
    Description: Published
    Description: 1-18
    Description: 1.10. TTC - Telerilevamento
    Description: N/A or not JCR
    Description: open
    Keywords: Hypespectral SNR ; 05. General::05.01. Computational geophysics::05.01.01. Data processing ; 05. General::05.01. Computational geophysics::05.01.04. Statistical analysis
    Repository Name: Istituto Nazionale di Geofisica e Vulcanologia (INGV)
    Type: article
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