Mineral Identification from Orbit: Initial Results from the Shuttle Multispectral Infrared Radiometer

Goetz, Alexander; Rowan, Lawrence C.; Kingston, Marguerite J.

doi:10.1126/science.218.4576.1020

Cited by 53 publications

(28 citation statements)

References 3 publications

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“…Several approaches to extract information from high spectral resolution image data have been reported, processing spectral information on a pixel by pixel basis, including binary encoding (Goetz et al, 1982), spectral unmixing (Adams et al, 1986), relative absorption band depth mapping (Crowley et al, 1989), waveform characterization (Okada and Iwashita, 1992), classification (Cetin et al, 1993), spectral angle mapping (SAM; Kruse et al, 1993), decorrelation stretching (Abrams and Hook, 1995), probability density function (Nedeljkovic and Pendock, 1996), constrained energy minimization (CEM; Farrand and Harsanyi, 1997), cross correlogram spectral matching (Van der Meer and Bakker, 1997), back propagation neural network (BNN; Yang et al, 1999), and geophysical inversion (Van der Meer, 2000). These methods all use imaging spectrometer data corrected to reflectance and quantitatively test the similarity of unknown imaged spectra with known spectra measured in the field or laboratory or extracted from the image data at locations of known ground truth.…”

Section: Imaging Spectrometrymentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

110

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Remote sensing, as a direct adjunct to field, lithologic and structural mapping, and more recently, GIS have played an important role in the study of mineralized areas. A review on the application of remote sensing in mineral resource mapping is attempted here. It involves understanding the application of remote sensing in lithologic, structural and alteration mapping. Remote sensing becomes an important tool for locating mineral deposits, in its own right, when the primary and secondary processes of mineralization result in the formation of spectral anomalies. Reconnaissance lithologic mapping is usually the first step of mineral resource mapping. This is complimented with structural mapping, as mineral deposits usually occur along or adjacent to geologic structures, and alteration mapping, as mineral deposits are commonly associated with hydrothermal alteration of the surrounding rocks. In addition to these, understanding the use of hyperspectral remote sensing is crucial as hyperspectral data can help identify and thematically map regions of exploration interest by using the distinct absorption features of most minerals. Finally coming to the exploration stage, GIS forms the perfect tool in integrating and analyzing various georeferenced geoscience data in selecting the best sites of mineral deposits or rather good candidates for further exploration.

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Section: Imaging Spectrometrymentioning

confidence: 99%

Application of remote sensing and GIS in mineral resource mapping-An overview

Rajesh

2004

Journal of Mineralogical and Petrological Sciences

110

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“…From that first shuttle flight they obtained 70 minutes of cloud free data which demonstrated the value of spectroscopy from space. In [5], they showed for the first time that Kaolinite and Carbonatecontaining materials could be identified from space, demonstrating the potential for narrowband spectral imaging systems on future orbital platforms.…”

Section: Introductionmentioning

confidence: 99%

“…Since the late 1970s he has led interdisciplinary environmental applications of spectroscopy to understand and study the earth-including fundamental research in applications for geology [5][6][7][8], soils [9], atmospheric properties [10,11], and plant/vegetation studies [12,13], the instruments to measure the spectral properties from laboratory, field, airborne and satellite instruments [14,15], and finally, the software to analyze the data and perform the atmospheric corrections.…”

Section: Introductionmentioning

confidence: 99%

A Review of the Contributions of Alexander F.H. Goetz to Imaging Spectroscopy

Ustin

McDonald²,

Schaepman

2006

2006 IEEE International Symposium on Geoscience and Remote Sensing

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All aspects of the science and engineering of imaging spectrometry have been advanced by the work of Dr. Alexander F.H. Goetz over the past 30 years. Dr. Goetz's pioneering efforts were among the first to realize that it was feasible to obtain laboratory like spectra from space that would quantify earth materials based on biogeochemistry. He has made fundamental contributions to developing high spectral resolution field spectrometers and airborne imaging spectrometers, and to the image processing software and atmospheric correction software needed to analyze the data. These parallel developments in core technologies have made imaging spectroscopy available to a wide range of users of varying user expertise and disciplines, thus enabling the current state of rapid advances in the use of this data. Abstract-All aspects of the science and engineering of imaging spectrometry have been advanced by the work of Dr. Alexander F.H. Goetz over the past 30 years. Dr. Goetz's pioneering efforts were among the first to realize that it was feasible to obtain laboratory like spectra from space that would quantify earth materials based on biogeochemistry. He has made fundamental contributions to developing high spectral resolution field spectrometers and airborne imaging spectrometers, and to the image processing software and atmospheric correction software needed to analyze the data. These parallel developments in core technologies have made imaging spectroscopy available to a wide range of users of varying user expertise and disciplines, thus enabling the current state of rapid advances in the use of this data.

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“…Airborne imaging spectrometers have been developed which can provide images of the Earth's surface in which each pixel contains a complete reflectance spectrum over a broad spectral region in hundreds of contiguous spectral bands . Spaceborne spectrometers have been demonstrated (Goetz et al, 1982) and imaging spectrometers will soon be operational on satellites to be launched by the NASA and the European Space Agency. Eventually, it may be possible to use data from such systems in physically-based plant growth models, since imaging spectrometry offers the possibility of measuring directly the biochemical (e.g., lignin and cellulose) composition of plant canopies (Curran, 1989).…”

Section: 34mentioning

confidence: 99%

Linking remote sensing, land cover and disease

Curran

Atkinson

Foody

et al. 2000

Remote Sensing and Geographical Information Systems in Epidemiology

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References List of Tables List of Figures 3 AbstractLand cover is a critical variable in epidemiology and can be characterised remotely. A framework is used to describe both the links between land cover and radiation recorded by a remotely sensed image and the links between land cover and the disease carried by vectors. The framework is then used to explore the issues involved when moving from remotely sensed imagery to land cover and then to vector density/disease risk.This exploration highlights the rôle of land cover; the need to develop a sound knowledge of each link in the predictive sequence; the problematic mismatch between the spatial units of the remotely sensed and epidemiological data and the challenges and opportunities posed by adding a temporal mismatch between the remotely sensed and epidemiological data. The paper concludes with a call for both greater understanding of the physical components of the proposed framework and the utilisation of optimised statistical tools as prerequisites to progress in this field.4 IntroductionThe application of remote sensing to epidemiology is based on the development of a logical sequence that links measures of radiation made by a sensor on board an aircraft, or more usually a satellite, to measures of a disease and its vector (e.g ., Crombie et al., 1999). At its most general, a sequence could be: (i) remotely sensed data can be used to provide information on land cover (e.g., different vegetation types or classes of vegetation amount) and thereby habitat (Innes and Koch, 1998), (ii) the spatial distribution of vector-borne disease z is related to the habitat of that vector (Pavlovsky, 1966) and (iii) therefore, remotely sensed data can be used to provide information on the spatial distribution of vector-borne disease z (Hay et al., 1997).In certain circumstances the first two propositions can be well-founded. For example, where remotely sensed data and disease data are both related to climate (Hugh-Jones, 1991a;Thomson et al., 1996;Hay et al., 1996;1998a). When this is the case researchers have sought to use remote sensing as a direct and instrumental tool (Curran, 1987) to predict and map the location of some of the major diseases affecting human health (Bailey and Linthicum, 1989;Hay et al., 1997;1998b;Malone et al., 1997;Connor, 1999)."Satellite (sensor) images can pinpoint the breeding grounds of the mosquitoes that cause malaria, pick out the tsetse fly's favourite haunts and perhaps even identify places where there is a risk of cholera" (K. Kleiner, 1995, p.9).In support of such predictions research has been undertaken in different environments, for different diseases and vectors and with various combinations of imagery and ancillary data (Hugh-Jones and O'Neil, 1986;Hay et al., 1997;Estrada-Peña, 1998). Some thirty years of experience (Cline, 1970) have shown that while the remote sensing of disease is certainly viable (Linthicum et al., 1987;Hugh-Jones, 1991a;Rogers and Williams, 1993) it will not be a robust and reliable epidemiological technique unt...

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Mineral Identification from Orbit: Initial Results from the Shuttle Multispectral Infrared Radiometer

Abstract: A shuttle-borne radiometer containing ten channels in the reflective infrared has demonstrated that direct identification of carbonates and hydroxyl-bearing minerals is possible by remote measurement from Earth orbit.

Cited by 53 publications

References 3 publications

Application of remote sensing and GIS in mineral resource mapping-An overview

Application of remote sensing and GIS in mineral resource mapping-An overview

A Review of the Contributions of Alexander F.H. Goetz to Imaging Spectroscopy

Linking remote sensing, land cover and disease

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