This study developed a "continuum-removal MSAM" method to extract minerals from HyMap hyperspectral data in southern Namibia. The method accurately identified hydrothermally altered and mica group minerals when validated against a reference Cuprite map. Mineral index maps showed distributions consistent with field surveys and analyses. Combining HyMap and ASTER data helped locate pegmatites, indicated by variations in a silicon dioxide content index. The method provides a tool for mineral exploration in southern Namibia.
This talk summarizes the use of imaging spectroscopy to map minerals in various environments, including Cuprite, Nevada, Mars, the Moon, and post-9/11 at the World Trade Center site. Imaging spectroscopy can identify minerals like kaolinite, olivine, and buddingtonite and map their distributions. It revealed fire locations and temperatures after 9/11. Advances in algorithms and sensors continue to improve mineral and material mapping abilities.
This document provides an overview of 21cm cosmology. It discusses how the 21cm hydrogen line can be used to map out the high redshift universe and study cosmological phenomena like dark energy and gravity waves. Observational efforts so far include first detections using the GBT telescope as well as future planned surveys using instruments like CHIME, HERA and SKA that aim to map out the hydrogen distribution during the epoch of reionization and beyond. Intensity mapping is presented as a technique to study large scale structure without resolving individual galaxies.
The document discusses water resource management in the Sana'a Basin of Yemen. It describes the LIMES Project which aims to develop remote sensing applications to monitor water resources in water-scarce regions. It then provides details on the geo-scientific characteristics of the Sana'a Basin, including its climate, geology, hydrogeology, and rapid groundwater depletion. The document outlines the satellite data and other sources used to analyze land use, evapotranspiration, precipitation, effective rainfall, and net groundwater use for agriculture in the basin.
Sudha radhika to upload in slide share [compatibility mode]radhikasabareesh
1) The document proposes using wavelet analysis as an effective tool for detecting wind damage from satellite images by identifying changes to damaged building structures.
2) It describes past research on disaster detection from aerial/satellite images for earthquakes, wildfires, floods, and landslides. For wind damage, past research used statistical analysis of image pixel values.
3) The proposed methodology extracts building structures from pre- and post-disaster satellite images, analyzes pixel radiance data and edge features using conventional and wavelet-based methods, and classifies damage levels using an artificial neural network trained on these extracted features.
This document summarizes a study that used Chandrayaan-1 Hyperspectral Imager (HySI) data to perform mineral mapping of Mare Cresium on the lunar surface. Band strength, band curve, and band tilt parameters were derived from HySI data and used to create a false color composite image to identify different lunar minerals. Analysis of reflectance spectra from various locations revealed the presence of high-calcium pyroxene and/or olivine, low-calcium pyroxene, and space-weathered rock. The study demonstrated the potential of hyperspectral data for detailed mineral mapping of the Moon.
This talk summarizes the use of imaging spectroscopy to map minerals in various environments, including Cuprite, Nevada, Mars, the Moon, and post-9/11 at the World Trade Center site. Imaging spectroscopy can identify minerals like kaolinite, olivine, and buddingtonite and map their distributions. It revealed fire locations and temperatures after 9/11. Advances in algorithms and sensors continue to improve mineral and material mapping abilities.
This document provides an overview of 21cm cosmology. It discusses how the 21cm hydrogen line can be used to map out the high redshift universe and study cosmological phenomena like dark energy and gravity waves. Observational efforts so far include first detections using the GBT telescope as well as future planned surveys using instruments like CHIME, HERA and SKA that aim to map out the hydrogen distribution during the epoch of reionization and beyond. Intensity mapping is presented as a technique to study large scale structure without resolving individual galaxies.
The document discusses water resource management in the Sana'a Basin of Yemen. It describes the LIMES Project which aims to develop remote sensing applications to monitor water resources in water-scarce regions. It then provides details on the geo-scientific characteristics of the Sana'a Basin, including its climate, geology, hydrogeology, and rapid groundwater depletion. The document outlines the satellite data and other sources used to analyze land use, evapotranspiration, precipitation, effective rainfall, and net groundwater use for agriculture in the basin.
Sudha radhika to upload in slide share [compatibility mode]radhikasabareesh
1) The document proposes using wavelet analysis as an effective tool for detecting wind damage from satellite images by identifying changes to damaged building structures.
2) It describes past research on disaster detection from aerial/satellite images for earthquakes, wildfires, floods, and landslides. For wind damage, past research used statistical analysis of image pixel values.
3) The proposed methodology extracts building structures from pre- and post-disaster satellite images, analyzes pixel radiance data and edge features using conventional and wavelet-based methods, and classifies damage levels using an artificial neural network trained on these extracted features.
This document summarizes a study that used Chandrayaan-1 Hyperspectral Imager (HySI) data to perform mineral mapping of Mare Cresium on the lunar surface. Band strength, band curve, and band tilt parameters were derived from HySI data and used to create a false color composite image to identify different lunar minerals. Analysis of reflectance spectra from various locations revealed the presence of high-calcium pyroxene and/or olivine, low-calcium pyroxene, and space-weathered rock. The study demonstrated the potential of hyperspectral data for detailed mineral mapping of the Moon.
The document presents a methodology for prototyping an albedo algorithm for GOES-R using MODIS data. It uses an optimization approach that incorporates atmospheric radiative transfer modeling and land surface BRDF modeling to estimate surface albedo, spectral reflectance, and aerosol optical depth from MODIS TOA reflectance observations. The estimates were validated against ground measurements and other satellite products, showing good agreement within F&PS requirements for albedo accuracy and reflectance precision. Future work will include additional validations and improving diurnal albedo estimation using geostationary data.
This document summarizes Toru Tamaki's presentation on scattering in computer graphics (CG) and computer vision (CV). It discusses reflection models including diffuse/specular reflection and bidirectional reflectance distribution functions (BRDFs). It also covers subsurface scattering within materials, models for subsurface scattering including diffuse approximation and plane-parallel approximation, and measuring scattering properties including single and multiple scattering. Examples of subsurface scattering rendering from past CG papers are shown.
This document summarizes scattering in computer graphics and computer vision, including:
- Types of scattering such as diffuse reflection, specular reflection, BRDF, subsurface scattering, single scattering, and multiple scattering.
- Models for subsurface scattering including diffuse approximation, plane-parallel approximation, and Donner's empirical BSSRDF model.
- Techniques for measuring scattering properties like BRDF and rendering effects of scattering in participating media and subsurface scattering.
The document summarizes the status of the Geostationary Ocean Color Imager (GOCI) satellite. GOCI was launched in 2010 as part of the Communication, Ocean and Meteorological Satellite (COMS) from Korea. The document discusses GOCI's technical specifications, data products, applications for monitoring ocean color and coastal environments, as well as international cooperation on algorithm development and data validation. GOCI has proven effective for real-time monitoring of ocean conditions and events like algal blooms, suspended sediments, volcanic eruptions and more.
The document summarizes exploration work conducted on Banded Iron Formations (BIF) in the Nkout and Ngoa Hills region of SW Cameroon. Geological mapping and sampling of BIF occurrences identified four main types based on macroscopic characteristics and chemical analyses. Soil sampling over a grid at Nkout Hill identified spatial correlations between concentrations of elements like Fe, S, La, and Sc and the local geology and topography. Higher gold values from the soil samples were concentrated in the eastern part of the grid. The document concludes the BIF lenses at Nkout and Ngoa Hills warrant further evaluation as potential iron deposits.
WE2.L09 - ICESAT LIDAR AND GLOBAL DIGITAL ELEVATION MODELS: APPLICATIONS TO D...grssieee
The document summarizes research analyzing differences between elevations measured by the ICESat satellite laser altimeter and the Shuttle Radar Topography Mission (SRTM) digital elevation model over Australia. The analysis found a mean elevation difference of approximately -2 meters, with SRTM biased high relative to ICESat. It also revealed undulating elevation errors in SRTM at the 100s of km scale. The differences were reproducible across ICESat observation periods, indicating they were characteristic of SRTM rather than ICESat.
09h10 stv2 paulo vasconcelos 22 08 flamengoslides-mci
This document provides an overview of 40Ar/39Ar geochronology methods, challenges, and applications. It discusses:
- Justifications for using 40Ar/39Ar to date mafic igneous rocks given suitable minerals and sample size requirements.
- Methodological approaches including sample preparation, irradiation, mass spectrometry, and testing results using standards.
- Difficulties posed by alteration and approaches to overcome them such as comparing untreated and acid-treated aliquots.
- Successful studies dating mafic magmatism in Australia, Brazil, and altered volcanic rocks both onshore and offshore.
- Current projects and developments including improving dating of hydrothermally altered samples.
The document discusses using ASTER satellite imagery and GIS for mineral exploration. It provides details on two case studies: 1) identifying gold deposits in Nevada using ASTER data integrated into a geodatabase, and 2) mapping alteration zones in India using ASTER shortwave infrared bands. The case studies demonstrate how ASTER imagery can be processed and analyzed using GIS and techniques like principal component analysis to produce geological maps and identify target areas for further mineral exploration.
- The document discusses using hyperspectral remote sensing for mineral mapping. It provides background on how minerals have unique spectral signatures and defines hyperspectral imagery as image cubes with spatial and spectral data.
- Two case studies are summarized that demonstrate using techniques like atmospheric correction, MNF transformation, and spectral analysis tools like SAM and MTMF on Hyperion satellite imagery to map minerals in areas of India and Pakistan. Key minerals identified include grossularite, calcite, pyrite, andradite, and dolomite.
- The methodology involves preprocessing the hyperspectral cube, identifying endmembers, and then classifying and mapping minerals present based on their spectral properties and signatures in the imagery.
The document discusses applications of multi-scale spectral sensing techniques for mineral and hydrocarbon exploration and production. It provides examples of using field and laboratory-based spectrometers and hyperspectral imaging to map minerals in drill cores and mine faces. Specific cases examine iron, gold, and rare earth element deposits. Spectroscopic data is used to identify mineral distributions and compositions for ore control and process optimization.
The use of geoinformatics in mineral exploration and exploitationMarguerite Walsh
The document discusses the use of geoinformatics, including remote sensing techniques, in mineral exploration and exploitation. It provides several case studies demonstrating how different remote sensing data and techniques can be used to map surface geology and identify potential mineral deposits. These include using Landsat and ASTER satellite imagery to map surficial mineralogy across large areas, detect hydrothermal alteration zones indicating gold mineralization, and identify geothermal anomalies. Integrating remote sensing data with other spatial datasets in a GIS provides additional insights. Future opportunities discussed include the increasing use of unmanned aerial vehicles and the upcoming Sentinel-2 satellite mission.
This document discusses the use of Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) to monitor ground deformation using satellite radar data. It provides examples of PSInSAR being used to detect subsidence near an underground salt mine in Poland and to monitor construction projects in Delft, Netherlands. The techniques ability to detect millimeter changes in structures and compensate for atmospheric and orbital errors is highlighted.
Radar data from ALOS, Radarsat-2 and TerraSAR-X satellites were used to monitor agricultural surfaces as part of the MCM Experiment. The objectives were to develop new approaches for high resolution surface monitoring using optical, thermal and radar data and to improve estimates of crop biophysical parameters. Ground measurements were made quasi-synchronously with satellite acquisitions. Preliminary results showed potential for soil moisture estimation and vegetation monitoring using different frequencies, with X-band showing higher potential for soil moisture mapping. Further analysis of multi-sensor data and modeling is needed to fully characterize capabilities for agriculture applications.
This document discusses a study that used hyperspectral remote sensing to map different classes of hematite ore in the Bailadila iron ore mining region of India. Hyperspectral data from the Hyperion sensor was processed and atmospherically corrected. Spectra extracted from the imagery were validated using field spectra collected on site. Spectral analysis showed correlations between iron oxide concentration and the depth and width of near-infrared absorption features in the spectra. Different hematite ore classes including gray hematite, blue hematite, and banded hematite quartzite were distinguished based on their spectral signatures. Overall accuracy of the mineral mapping was 88.2%.
1. The document describes a method for remote sensing of the Earth using satellite imagery to detect minerals. Infrared signals from minerals are captured in satellite images and then processed.
2. Images are resonance processed using test wafers that are exposed to radiation along with the satellite images. This allows signals from specific minerals to be filtered and visualized.
3. Objects are then detected on x-ray film after chemical processing and visualized on a map. Deposit parameters like coordinates, depths and sizes are then analyzed and included in a report for the customer.
1. The document describes a method for remote sensing of the Earth using satellite imagery to detect minerals. Infrared signals from minerals are captured in satellite images and then processed.
2. Images are resonance processed using test wafers that are exposed to radiation along with the satellite images. This allows signals from specific minerals to be filtered and visualized.
3. Objects are then detected on x-ray film after chemical processing and visualized on a map. Deposit parameters like coordinates, depths and sizes are then analyzed and reported to customers.
This document provides information on various remote sensing platforms and Earth observing satellites. It discusses balloons, helicopters, airplanes and satellites as remote sensing platforms. It then describes different types of satellite orbits and provides details on several major Earth observing satellites including their sensors and specifications. These satellites include Landsat, SPOT, Ikonos, AVHRR, Radarsat, GOES, Meteosat, and some Indian, Japanese, European and Russian satellites.
Characterisation of Alteration types and Mineral mapping using Shortwave Infr...Hanna Junttila
Abstract and presentation given by Khano Mushiana at MINSA Symposium.
The understanding of alteration mineral assemblages is important for the exploration of
hydrothermal ore deposits, therefore a rapid mineral detection technique such as Hyperspectral imaging is fundamental for mineral exploration. The hyperspectral cameras that are available for mineral detection are: Visible Near Infrared (0.4- 1 um), Short-wave Infrared (1-2.5 um), Mid-wave infrared (3-6) and Long-wave Infrared (6-14 um).
This document discusses how Interferometric Synthetic Aperture Radar (InSAR) works to measure ground deformation. It explains that InSAR uses the phase difference between two SAR images of the same area taken at different times to detect millimeter-scale changes in the distance to ground targets. It provides examples of how InSAR has been used to measure subsidence from earthquakes and other natural hazards. The document also notes some limitations of InSAR related to decorrelation from changes on the ground surface and in the atmosphere between image acquisitions.
Remote sensing techniques can be used to identify mineral deposits. Landsat satellites have collected imagery since the 1970s that is useful for mineral exploration. Spectral bands can recognize hydrothermally altered rocks associated with ore deposits due to their distinct reflectance properties compared to unaltered rocks. At the Goldfield, Nevada mining district, Landsat imagery has been used to map hydrothermal alteration minerals like alunite and clays using ratio images of spectral bands 5 and 7, and 3 and 1, that highlight altered rock areas correlating with known deposits. Classification algorithms can further analyze imagery to automatically categorize altered and unaltered rock types to aid exploration.
1. The document describes an innovative technology for remote sensing of the Earth using satellite imagery. Infrared signals containing information about mineral structures are captured in analog satellite images and then processed.
2. Test wafers containing mineral samples are used as resonators to filter the infrared signals from the satellite images. The detected objects are then visualized and their contours transferred onto maps.
3. Key steps include radiation-chemical processing of the images around the test wafers, chemical processing of exposed x-ray film to develop the detected objects, and using high-tension pulses to visualize and map the contours. Analytic data is then processed to characterize the detected deposits.
TH2.L09.4 - CHARACTERISTIC ANALYSIS OF VEHICLE TARGET IN QUAD-POL RADARSAT-2...grssieee
1) The document analyzes the characteristic backscattering properties of vehicle targets in quad-polarimetric Radarsat-2 SAR images.
2) Experiments at different incidence angles and azimuth angles found significant differences in the radar cross section and polarization components of vehicle targets.
3) Polarization decomposition analysis showed double bounce scattering is an important characteristic for detecting trucks on roads, and vehicles are best detected when oriented parallel to the SAR flight direction.
The document presents a methodology for prototyping an albedo algorithm for GOES-R using MODIS data. It uses an optimization approach that incorporates atmospheric radiative transfer modeling and land surface BRDF modeling to estimate surface albedo, spectral reflectance, and aerosol optical depth from MODIS TOA reflectance observations. The estimates were validated against ground measurements and other satellite products, showing good agreement within F&PS requirements for albedo accuracy and reflectance precision. Future work will include additional validations and improving diurnal albedo estimation using geostationary data.
This document summarizes Toru Tamaki's presentation on scattering in computer graphics (CG) and computer vision (CV). It discusses reflection models including diffuse/specular reflection and bidirectional reflectance distribution functions (BRDFs). It also covers subsurface scattering within materials, models for subsurface scattering including diffuse approximation and plane-parallel approximation, and measuring scattering properties including single and multiple scattering. Examples of subsurface scattering rendering from past CG papers are shown.
This document summarizes scattering in computer graphics and computer vision, including:
- Types of scattering such as diffuse reflection, specular reflection, BRDF, subsurface scattering, single scattering, and multiple scattering.
- Models for subsurface scattering including diffuse approximation, plane-parallel approximation, and Donner's empirical BSSRDF model.
- Techniques for measuring scattering properties like BRDF and rendering effects of scattering in participating media and subsurface scattering.
The document summarizes the status of the Geostationary Ocean Color Imager (GOCI) satellite. GOCI was launched in 2010 as part of the Communication, Ocean and Meteorological Satellite (COMS) from Korea. The document discusses GOCI's technical specifications, data products, applications for monitoring ocean color and coastal environments, as well as international cooperation on algorithm development and data validation. GOCI has proven effective for real-time monitoring of ocean conditions and events like algal blooms, suspended sediments, volcanic eruptions and more.
The document summarizes exploration work conducted on Banded Iron Formations (BIF) in the Nkout and Ngoa Hills region of SW Cameroon. Geological mapping and sampling of BIF occurrences identified four main types based on macroscopic characteristics and chemical analyses. Soil sampling over a grid at Nkout Hill identified spatial correlations between concentrations of elements like Fe, S, La, and Sc and the local geology and topography. Higher gold values from the soil samples were concentrated in the eastern part of the grid. The document concludes the BIF lenses at Nkout and Ngoa Hills warrant further evaluation as potential iron deposits.
WE2.L09 - ICESAT LIDAR AND GLOBAL DIGITAL ELEVATION MODELS: APPLICATIONS TO D...grssieee
The document summarizes research analyzing differences between elevations measured by the ICESat satellite laser altimeter and the Shuttle Radar Topography Mission (SRTM) digital elevation model over Australia. The analysis found a mean elevation difference of approximately -2 meters, with SRTM biased high relative to ICESat. It also revealed undulating elevation errors in SRTM at the 100s of km scale. The differences were reproducible across ICESat observation periods, indicating they were characteristic of SRTM rather than ICESat.
09h10 stv2 paulo vasconcelos 22 08 flamengoslides-mci
This document provides an overview of 40Ar/39Ar geochronology methods, challenges, and applications. It discusses:
- Justifications for using 40Ar/39Ar to date mafic igneous rocks given suitable minerals and sample size requirements.
- Methodological approaches including sample preparation, irradiation, mass spectrometry, and testing results using standards.
- Difficulties posed by alteration and approaches to overcome them such as comparing untreated and acid-treated aliquots.
- Successful studies dating mafic magmatism in Australia, Brazil, and altered volcanic rocks both onshore and offshore.
- Current projects and developments including improving dating of hydrothermally altered samples.
The document discusses using ASTER satellite imagery and GIS for mineral exploration. It provides details on two case studies: 1) identifying gold deposits in Nevada using ASTER data integrated into a geodatabase, and 2) mapping alteration zones in India using ASTER shortwave infrared bands. The case studies demonstrate how ASTER imagery can be processed and analyzed using GIS and techniques like principal component analysis to produce geological maps and identify target areas for further mineral exploration.
- The document discusses using hyperspectral remote sensing for mineral mapping. It provides background on how minerals have unique spectral signatures and defines hyperspectral imagery as image cubes with spatial and spectral data.
- Two case studies are summarized that demonstrate using techniques like atmospheric correction, MNF transformation, and spectral analysis tools like SAM and MTMF on Hyperion satellite imagery to map minerals in areas of India and Pakistan. Key minerals identified include grossularite, calcite, pyrite, andradite, and dolomite.
- The methodology involves preprocessing the hyperspectral cube, identifying endmembers, and then classifying and mapping minerals present based on their spectral properties and signatures in the imagery.
The document discusses applications of multi-scale spectral sensing techniques for mineral and hydrocarbon exploration and production. It provides examples of using field and laboratory-based spectrometers and hyperspectral imaging to map minerals in drill cores and mine faces. Specific cases examine iron, gold, and rare earth element deposits. Spectroscopic data is used to identify mineral distributions and compositions for ore control and process optimization.
The use of geoinformatics in mineral exploration and exploitationMarguerite Walsh
The document discusses the use of geoinformatics, including remote sensing techniques, in mineral exploration and exploitation. It provides several case studies demonstrating how different remote sensing data and techniques can be used to map surface geology and identify potential mineral deposits. These include using Landsat and ASTER satellite imagery to map surficial mineralogy across large areas, detect hydrothermal alteration zones indicating gold mineralization, and identify geothermal anomalies. Integrating remote sensing data with other spatial datasets in a GIS provides additional insights. Future opportunities discussed include the increasing use of unmanned aerial vehicles and the upcoming Sentinel-2 satellite mission.
This document discusses the use of Persistent Scatterer Interferometric Synthetic Aperture Radar (PSInSAR) to monitor ground deformation using satellite radar data. It provides examples of PSInSAR being used to detect subsidence near an underground salt mine in Poland and to monitor construction projects in Delft, Netherlands. The techniques ability to detect millimeter changes in structures and compensate for atmospheric and orbital errors is highlighted.
Radar data from ALOS, Radarsat-2 and TerraSAR-X satellites were used to monitor agricultural surfaces as part of the MCM Experiment. The objectives were to develop new approaches for high resolution surface monitoring using optical, thermal and radar data and to improve estimates of crop biophysical parameters. Ground measurements were made quasi-synchronously with satellite acquisitions. Preliminary results showed potential for soil moisture estimation and vegetation monitoring using different frequencies, with X-band showing higher potential for soil moisture mapping. Further analysis of multi-sensor data and modeling is needed to fully characterize capabilities for agriculture applications.
This document discusses a study that used hyperspectral remote sensing to map different classes of hematite ore in the Bailadila iron ore mining region of India. Hyperspectral data from the Hyperion sensor was processed and atmospherically corrected. Spectra extracted from the imagery were validated using field spectra collected on site. Spectral analysis showed correlations between iron oxide concentration and the depth and width of near-infrared absorption features in the spectra. Different hematite ore classes including gray hematite, blue hematite, and banded hematite quartzite were distinguished based on their spectral signatures. Overall accuracy of the mineral mapping was 88.2%.
1. The document describes a method for remote sensing of the Earth using satellite imagery to detect minerals. Infrared signals from minerals are captured in satellite images and then processed.
2. Images are resonance processed using test wafers that are exposed to radiation along with the satellite images. This allows signals from specific minerals to be filtered and visualized.
3. Objects are then detected on x-ray film after chemical processing and visualized on a map. Deposit parameters like coordinates, depths and sizes are then analyzed and included in a report for the customer.
1. The document describes a method for remote sensing of the Earth using satellite imagery to detect minerals. Infrared signals from minerals are captured in satellite images and then processed.
2. Images are resonance processed using test wafers that are exposed to radiation along with the satellite images. This allows signals from specific minerals to be filtered and visualized.
3. Objects are then detected on x-ray film after chemical processing and visualized on a map. Deposit parameters like coordinates, depths and sizes are then analyzed and reported to customers.
This document provides information on various remote sensing platforms and Earth observing satellites. It discusses balloons, helicopters, airplanes and satellites as remote sensing platforms. It then describes different types of satellite orbits and provides details on several major Earth observing satellites including their sensors and specifications. These satellites include Landsat, SPOT, Ikonos, AVHRR, Radarsat, GOES, Meteosat, and some Indian, Japanese, European and Russian satellites.
Characterisation of Alteration types and Mineral mapping using Shortwave Infr...Hanna Junttila
Abstract and presentation given by Khano Mushiana at MINSA Symposium.
The understanding of alteration mineral assemblages is important for the exploration of
hydrothermal ore deposits, therefore a rapid mineral detection technique such as Hyperspectral imaging is fundamental for mineral exploration. The hyperspectral cameras that are available for mineral detection are: Visible Near Infrared (0.4- 1 um), Short-wave Infrared (1-2.5 um), Mid-wave infrared (3-6) and Long-wave Infrared (6-14 um).
This document discusses how Interferometric Synthetic Aperture Radar (InSAR) works to measure ground deformation. It explains that InSAR uses the phase difference between two SAR images of the same area taken at different times to detect millimeter-scale changes in the distance to ground targets. It provides examples of how InSAR has been used to measure subsidence from earthquakes and other natural hazards. The document also notes some limitations of InSAR related to decorrelation from changes on the ground surface and in the atmosphere between image acquisitions.
Remote sensing techniques can be used to identify mineral deposits. Landsat satellites have collected imagery since the 1970s that is useful for mineral exploration. Spectral bands can recognize hydrothermally altered rocks associated with ore deposits due to their distinct reflectance properties compared to unaltered rocks. At the Goldfield, Nevada mining district, Landsat imagery has been used to map hydrothermal alteration minerals like alunite and clays using ratio images of spectral bands 5 and 7, and 3 and 1, that highlight altered rock areas correlating with known deposits. Classification algorithms can further analyze imagery to automatically categorize altered and unaltered rock types to aid exploration.
1. The document describes an innovative technology for remote sensing of the Earth using satellite imagery. Infrared signals containing information about mineral structures are captured in analog satellite images and then processed.
2. Test wafers containing mineral samples are used as resonators to filter the infrared signals from the satellite images. The detected objects are then visualized and their contours transferred onto maps.
3. Key steps include radiation-chemical processing of the images around the test wafers, chemical processing of exposed x-ray film to develop the detected objects, and using high-tension pulses to visualize and map the contours. Analytic data is then processed to characterize the detected deposits.
TH2.L09.4 - CHARACTERISTIC ANALYSIS OF VEHICLE TARGET IN QUAD-POL RADARSAT-2...grssieee
1) The document analyzes the characteristic backscattering properties of vehicle targets in quad-polarimetric Radarsat-2 SAR images.
2) Experiments at different incidence angles and azimuth angles found significant differences in the radar cross section and polarization components of vehicle targets.
3) Polarization decomposition analysis showed double bounce scattering is an important characteristic for detecting trucks on roads, and vehicles are best detected when oriented parallel to the SAR flight direction.
TH2.L09.4 - CHARACTERISTIC ANALYSIS OF VEHICLE TARGET IN QUAD-POL RADARSAT-2...grssieee
This document analyzes the characteristic analysis of vehicle targets in quad-polarized Radarsat-2 SAR images. It discusses experiments analyzing differences in backscatter based on incidence angle, azimuth angle, and truck configuration. The results show incidence angle has the largest impact on backscatter characteristics. Polarization decomposition helps verify target characteristics, with double bounce being important for trucks. Vehicles are best detected when parallel to the SAR flight direction. Prior geographic constraints can aid vehicle detection on roads in SAR imagery.
This document provides an overview of various remote sensing and GIS-based techniques used for mineral exploration applications in Africa. It discusses 10 techniques: 1) image processing of satellite data, 2) filtering geophysical data, 3) surface modeling, 4) spatial selection rules and proximity analyses, 5) determining anomalous assay data, 6) estimating resource volumes, 7) resource modeling and drillhole planning, 8) data visualization through fly-throughs, 9) regional context analysis, and 10) considering geological history. Examples are given for each technique to demonstrate how they can be applied to improve mineral exploration efforts. The document emphasizes how data visualization and spatial analysis tools can provide insight into geological datasets.
Integrated horizontal-scan remote sensing for landslide imaging and evaluationteraelement
An example of hyperspectral imaging and LIDAR integration for the detection of landslide parameters (presented at Geological Remote Sensing Group meeting in London, 2011).
remote sensing mineral exploration.pptxomkarkadekar2
This document discusses the use of hyperspectral remote sensing for geological mapping and mineral exploration. It explains that hyperspectral sensors provide more detailed spectral information than multispectral sensors by collecting over 100 spectral bands. This allows for the identification of alteration minerals and lithologies by analyzing their diagnostic absorption features. Methods for processing hyperspectral data include linear and non-linear spectral unmixing to separate mixed pixel spectra into individual mineral components. Challenges include addressing atmospheric effects, topographic variations and developing representative spectral libraries for specific geological terrains.
This document provides an overview of the history and development of remote sensing from satellites. It discusses early satellite and manned spacecraft imaging from the 1960s with limited coverage. Meteorological satellites in the 1960s showed potential for remote sensing. Landsat, beginning in 1972, was the first satellite system designed for land remote sensing with global coverage and repeated visits. It included improvements over generations in spatial, spectral, and radiometric resolution. Other satellite systems discussed include SPOT, IKONOS, and instruments onboard the Terra satellite.
SEGMENTATION OF POLARIMETRIC SAR DATA WITH A MULTI-TEXTURE PRODUCT MODELgrssieee
1) The document describes a segmentation algorithm for polarimetric SAR (PolSAR) data that can model both scalar-texture and multi-texture scattering.
2) The algorithm uses log-cumulants and hypothesis testing to determine whether a scalar-texture or dual-texture model best fits the data within each segment.
3) The algorithm is tested on simulated multi-texture PolSAR data and is shown to accurately segment the classes and estimate their texture parameters. However, when applied to real data sets, the algorithm only finds the simpler scalar-texture case.
TWO-POINT STATISTIC OF POLARIMETRIC SAR DATA TWO-POINT STATISTIC OF POLARIMET...grssieee
This document discusses using wavelet transforms to analyze two-point statistics of polarimetric synthetic aperture radar (PolSAR) data. It introduces wavelet variance and kurtosis as metrics that can be applied to PolSAR data transformed using a wavelet frame. It then provides an example of applying this analysis to ALOS PALSAR data over Hawaii's Papau Seamount to characterize sea surface features.
THE SENTINEL-1 MISSION AND ITS APPLICATION CAPABILITIESgrssieee
The Sentinel-1 mission is part of the GMES program and consists of two satellites to provide C-band SAR data for emergency response, marine and land monitoring, and other applications. The satellites operate in a near-polar orbit with a 12 day repeat cycle. The main acquisition mode is an interferometric wide swath mode with 5m range and 20m azimuth resolution over a 250km swath. Sentinel-1 will support operational services and create a long-term SAR data archive.
The document summarizes the status of the GMES Space Component program. It describes the Sentinel satellite missions for monitoring land, ocean, atmosphere and emergency situations. The Sentinels will provide long-term data continuity as well as improved coverage compared to existing missions. Sentinel data will be freely and openly available to both operational users and the science community. The program is on track, with the first Sentinel launches beginning in 2013.
PROGRESSES OF DEVELOPMENT OF CFOSAT SCATTEROMETERgrssieee
The document describes the progress of the development of CFOSAT SCAT, a Ku-band scatterometer onboard the Chinese-French Oceanography Satellite (CFOSAT). CFOSAT will measure global ocean surface winds and waves to improve weather forecasting, ocean dynamics modeling, climate research, and understanding of surface processes. The SCAT instrument is a rotating fan-beam radar scatterometer that will retrieve wind vectors using measurements of backscatter at incidence angles from 26 to 46 degrees. It has a wide swath of over 1000km and specifications are designed to achieve high-precision wind measurements globally. System details including parameters and the operation mode are provided.
DEVELOPMENT OF ALGORITHMS AND PRODUCTS FOR SUPPORTING THE ITALIAN HYPERSPECTR...grssieee
The document describes the SAP4PRISMA project which aims to develop algorithms and products to support the Italian hyperspectral PRISMA Earth observation mission. The project will focus on data processing, quality assessment, classification methods, and generating level 3 and 4 products for applications like land monitoring, agriculture, and hazard monitoring. It will include the generation of "PRISMA-like" synthetic test data to support algorithm development and validation. The research will be carried out across multiple work packages focusing on topics like data quality, classification methods, calibration/validation, and developing applicative products.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
1) The EO-1 Hyperion instrument has collected over 65,000 scenes over its 12-year mission to study land and coastal ecosystems using imaging spectroscopy.
2) Studies using Hyperion data have identified spectral indices related to chlorophyll that correlate with carbon flux measurements at different sites, including a Zambian woodland and North Carolina forest sites.
3) Time series of Hyperion data at flux tower sites show seasonal changes in these spectral indices that match patterns in ecosystem carbon uptake and release.
EO-1/HYPERION: NEARING TWELVE YEARS OF SUCCESSFUL MISSION SCIENCE OPERATION A...grssieee
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110727Oshigami.pdf
1. WE4.T06: Geology and Solid Earth V, Wednesday, July 27, 16:00 - 16:20 , #1725
Mineral index maps
of the southern Namibia
using HyMap and ASTER data
Shoko Oshigami1*, Tatsumi Uezato1, Yasushi Yamaguchi1,
Yessy Arvelyna2, Atsushi Momose2, Yuu Kawakami2,
Taro Yajima2, Shuichi Miyatake2, Anna Nguno3
1Nagoya University
2Japan Oil, Gas and Metals National Corporation
3Geological Survey of Namibia, Ministry of Mines and Energy
2. Introductions
• Objectives
– An development of rock and mineral identification method using
hyper-spectral sensor data
– Extraction of hydrothermally-altered minerals and pegmatite in
southern Namibia
• Hydrothermally-altered minerals (alunite, dickite, kaolinite,
pyrophyllite)
– having diagnostic absorption features in shortwave infrared
(SWIR) regions
• Pegmatite
– rich in mica group minerals (muscovite, lepidolite) and quartz
– Mica group also has diagnostic absorption features in the SWIR
regions
3. Data
• HyMap reflectance data
– 32 bands in the SWIR
regions: band 95 (1.95
mm) –band 126 (2.48 mm) Sensor HyMap ASTER
(SWIR) (TIR)
• ASTER surface Area Southern Cuprite
emissivity (2B04) data Namibia
– 2 bands in thermal Spatial 5 3.5 90
infrared (TIR) regions: resolution
band 12 (8.9-9.3 mm), (m)
band 13 (10.3-11.0 mm)
Spectral ~16 ~700
resolution
• Reference spectra (nm)
– The USGS Digital
Spectral Library
4. Data processing flows
ASTER surface
HyMap reflectance data USGS reference spectra
emissivity data
band 13/ band 12
Continuum removal
[Ninomiya and Fu, 2002]
Modified Spectral Angle Mapper SiO2 content index map
(MSAM)
Color composite map of mineral indices
“Continuum-removal MSAM” method
5. Modified Spectral Angle
Mapper (MSAM)
• SAM measures the degree of
similarity between reference (T1)
and image spectra (T2) by
calculating the angle between these
spectra (q), treating them as vectors
in n-dimension [Kruse et al., 1993]
• Instead of T1 and T2, MSAM uses
the difference vectors (T1’, T2’)
which are derived by subtracting the
average image vector (Tfl) from T1
or T2 [Kodama et al., 2010].
• MSAM has an advantage over SAM
because it is insensitive to the grain
Basic concept of SAM and MSAM
size [Kodama et al., 2010].
methods [Fig. 5 in Kodama et al.,
2010].
6. Continuum removal
Continuum-removal spectrum
• “Continuum” means a convex
background of the reflectance
spectra
• Removing of continuum is
effective for mineral identifications
[e.g., Green and Graig, 1985;
Yamaguchi and Lyon, 1986]
continuum
• The ratio of original reflectance
spectrum to the continuum is
defined as a continuum-removal
spectrum.
• We applied MSAM to continuum-
removal HyMap spectra using USGS reference spectrum of
continuum-removal reference alunite and its continuum,
spectra. continuum-removal spectrum.
7. Validation
• Test site
– Cuprite, Nevada, USA
• Method
– Comparing our mineral index
maps with the reference map
• Reference map
– Mineral map derived by using
AVIRIS data and “Tricorder”
software tool
[Clark and Swayze, 1996]
• Test minerals
– Alunite, calcite, chlorite, dickite,
kaolinite, montmorillonite, high-
and low-Al muscovite,
pyrophyllite
8. Color composite maps of
Alunite : Calcite : Chlorite
Continuum removal + MSAM MSAM
Background: HyMap band 5 (0.4982 mm) image
9. Color composite maps of
Dickite : Kaolinite : Montmorillonite
Continuum removal + MSAM MSAM
Background: HyMap band 5 (0.4982 mm) image
10. Color composite maps of
Low- : High-Al muscovite :
Pyrophyllite
Continuum removal + MSAM MSAM
Background: HyMap band 5 (0.4982 mm) image
11. Threshold of each index
Index Threshold • Lepidolite
– Determined by examining the
Alunite 0.6 features in the reflectance
Calcite 0.6 spectra of extracted image
pixels corresponding to each
Chlorite 0.6 threshold value
Dickite 0.8
• Others
Kaolinite 0.7
– Determined by comparing with
Lepidolite 0.7 the reference mineral map of
Cuprite [Clark and Swayze,
Montmorillonite 0.7 1996]
High-Al Muscovite 0.7
• Assumption
Low-Al Muscovite 0.7 – Threshold values of mineral
indices determined in Cuprite
Pyrophyllite 0.7 region are also applicable to
southern Namibia region.
12. Study area
• Porphyry copper
deposits
Hydrothermal
alteration
• Pegmatite-type
deposits
• Pegmatite-type
deposits
Mosaic image of ASTER Level 1B data (band 1).
[Groenewald et al., 1997; Becker et al., 1999]
13. Color composite map of
mineral indices: Haib
• Mineral index map
– Alunite was not extracted
in the whole study area
although its existence has
been expected in Haib
• Field survey (black arrow)
– Silicified and oxidized rock
• X-ray analysis of rock
sample (black arrow)
– Pyrophyllite > kaoline
(Dickite was not included on
1km the list of x-ray analysis)
Dickite : Kaolinite : Pyrophyllite
Background: HyMap band 5 (0.4982 mm) image
14. Color composite map of
mineral indices: Tantalite Valley
• Mineral index map
– low-Al muscovite areas
highest SiO2 content
– high-Al muscovite areas
slightly higher SiO2 content
• Field survey
– Pegmatite (black arrows)
– Silicified rock with quartz dykes
(white arrow)
• X-ray analysis of rock sample
– Sericite (black arrows)
1km – No data (white arrow)
Lepidolite : low-Al Muscovite : high-Al Muscovite
Background: SiO2 content index map
15. HyMap spectra of
(1) Hydrothermally-altered minerals
2.17 mm 2.33 mm
2.37 mm
2.21 mm
2.17 mm
2.33 mm
Dickite
2.21 mm
2.33 mm
Pyrophyllite
• Bold lines: HyMap spectra
• Thin lines: reference spectra
• Dotted lines: continuum-removal spectra
Kaolinite
16. HyMap spectra of
(2) Mica group minerals
2.19 mm 2.21 mm 2.34 mm
2.34 mm
Lepidolite
2.23 mm
2.36 mm
2.21 mm
Muscovite (high-Al)
• Bold lines: HyMap spectra
• Thin lines: reference spectra
• Dotted lines: continuum-removal spectra
Muscovite (Low-Al)
17. Summary
• We developed “continuum-removal MSAM” method using HyMap
reflectance data in the SWIR regions to extract minerals related to
hydrothermal alteration and pegmatite.
• Accuracy of this approach was confirmed by comparing our mineral index
maps to a previously published mineral map of Cuprite.
• The continuum-removal MSAM method successfully identified
hydrothermally-altered and mica group minerals in southern Namibia, and
the results are consistent with those of x-ray analyses and field survey.
• The spectral pattern of the extracted pixels is mostly consistent with each
reference spectrum.
• Combination of SiO2-content index from ASTER data and high-Al muscovite
index from HyMap data seems to be help for searching pegmatite.
This work is a part of mineral exploration renovating program conducted by Japan Oil, Gas and Metals
National Corporation (JOGMEC) and is fully funded by the Ministry of Economy, Trade and Industry,
Japan.
18. Continuum removal
• The way of “continuum”
determination
1. Calculating slopes of the lines
through band 95 and all other
bands (96 to 126). The band
with largest slope in a
positive direction is defined
as band A. 95 A
B
2. Calculating slopes of the lines
through band A and the 126
subsequent bands (A+1 to
126). The band with positively
largest slope is defined as
band B.
USGS reference spectrum of
3. Repeating this calculation
and connecting the bands 95, alunite and its continuum,
A, B, … , 126 derives continuum-removal spectra.
“continuum”.
19. SiO2 content index
• SiO2 content is possibly one indicator of pegmatite.
• In silicate rocks, absorption peak in thermal infrared (TIR) emissivity
spectra moves to longer wavelength as the rock type changes from
felsic to ultramafic [Walter and Salisbury, 1989].
• The emissivity in ASTER band 12 (8.9-9.3 mm) is lower than in band
13 (10.3-11.0 mm) for felsic rocks, and higher for ultramafic rocks.
• Using this spectral feature, SiO2 content index is defined as follows;
SiO2 content index = (ASTER) band 13/ band 12
[Ninomiya and Fu, 2002]
20. Color composite map of mineral
indices: Sandfontain-Ramansdrif
• Location
– Western part of Sandfontain-
Ramansdrif area close to Haib
area
• Mineral index map
– Low-Al muscovite areas
highest SiO2 content
– Lepidolite, high-Al muscovite
areas
slightly higher SiO2 content
• No field survey, no rock
1km sample
Lepidolite : Low-Al muscovite : High-Al muscovite
Background: SiO2 content index map
21. Color composite map of mineral
indices: Sandfontain-Ramansdrif
• Mica group minerals
are coexistent with
hydrothermally-
altered minerals.
1km
Dickite : Kaolinite : Pyrophyllite
Background: HyMap band 5 (0.4982 mm) image