Skip to main content
Log in

A survey of natural aggregate properties and characteristics important in remote sensing and airborne geophysics

  • Articles
  • Published:
Nonrenewable Resources Aims and scope Submit manuscript

Abstract

Natural aggregate is vital to the construction industry. Although natural aggregate is a high volume/low value commodity that is abundant, new sources are becoming increasingly difficult to find and develop because of rigid industry specifications, political considerations, development and transportation costs, and environmental concerns. There are two primary sources of natural aggregate: (1) exposed or near-surface bedrock that can be crushed, and (2) deposits of sand and gravel. Remote sensing and airborne geophysics detect surface and near-surface phenomena, and may be useful for detecting and mapping potential aggregate sources; however, before a methodology for applying these techniques can be developed, it is necessary to understand the type, distribution, physical properties, and characteristics of natural aggregate deposits.

The distribution of potential aggregate sources is closely tied to local geologic history. Conventional exploration for natural aggregate deposits has been largely a ground-based operation, although aerial photographs and topographic maps have been extensively used to target possible deposits. Today, the exploration process also considers factors such as the availability of the land, space and water supply for processing, political and environmental factors, and distance from the market; exploration and planning cannot be separated.

There are many physical properties and characteristics by which to judge aggregate material for specific applications; most of these properties and characteristics pertain only to individual aggregate particles. The application of remote sensing and airborne geophysical measurements to detecting and mapping potential aggregate sources, however, is based on intrinsic bulk physical properties and extrinsic characteristics of the deposits that can be directly measured, mathematically derived from measurement, or interpreted with remote sensing and geophysical data.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Abrams, M.J., 1980, Lithologic mapping,in Siegal, B.S., and Gillespie, A.R., eds., Remote sensing in geology: New York, John Wiley and Sons, p. 381–418.

    Google Scholar 

  • American Society for Testing and Materials, 1980, Annual book of ASTM standards, pt. 14, Concrete and mineral aggregates: Philadelphia, Pa., 878 p.

  • Barksdale, R.D., ed., 1991, The aggregate handbook: Washington, D.C., national Stone Association, 16 chapters numbered separately.

    Google Scholar 

  • Beaumont, T.E., 1979, Remote sensing for the location and mapping of engineering construction materials in developing countries: Quarterly Journal of Engineering Geology, v. 12, no. 3, p. 147–158.

    Google Scholar 

  • Belcher, D.J., 1945, The engineering significance of soil patterns: Photogrammetric Engineering, v. 11, no. 2, p. 115–148.

    Google Scholar 

  • Blodget, H.W., Andre, C.G., Marcell, Richard, and Minor, T.B., 1984, Multispectral thermal infrared satellite data for geologic applications: Proceedings, International Symposium on Remote Sensing of Environment, Third Thematic Conference, Remote Sensing for Exploration Geology, Ann Arbor, Michigan, Environmental Research Institute of Michigan, p. 917–928.

    Google Scholar 

  • Bottge, R.G., McDivitt, J.F., and McCarl, H.N., 1965a, Prospecting for natural aggregates, Part 1: Rock products, v. 68, no. 5, p. 108–153.

    Google Scholar 

  • —, 1965b, Prospecting for natural aggregates, Part 2: Rock products, v. 68, no. 6, p. 93–95.

    Google Scholar 

  • Buettner, K.J.K., and Kern, C.D., 1965, The determination of infrared emissivities of terrestrial surfaces: Journal of Geophysical Research, v. 70, p. 1,329–1,338.

    Google Scholar 

  • Cady, J.W., 1989, Geologic implication of topographic, gravity, and aeromagnetic data in the Northern Yukon-Koyukuk Province and its borderlands, Alaska: Journal of Geophysical Research, v. 94, no. B11, p. 15,821–15,841.

    Google Scholar 

  • Carr, D.D., and Blakely, R.F., 1966, Temperature variation at a depth of 30 cm in clay till and outwash sand and gravel: Proceedings, 4th Symposium on Remote Sensing of Environment, p. 203–214.

  • Carr, D.D., and Webb, W.M., 1967, Sand and gravel exploration by thermal sensing of soil,in Angeno, E.E., and Hardy, R.G., eds., Proceedings of the Third Forum on Geology of Industrial Minerals, State Geological Survey of Kansas Special Distribution Publication 34, p. 32–38.

  • Carslaw, H.S., and Jaeger, J.C., 1959, Conduction of heat in solids (2nd ed.): New York, Oxford University Press, 497 p.

    Google Scholar 

  • Chilar, J., Somerfeld, T., and Paterson, B., 1977, Soil water estimation in fallow fields from airborne thermal scanner measurements: Canadian Journal of Remote Sensing, v. 5, no. 1, p. 18–32.

    Google Scholar 

  • Clark, R.N., Gallagher, A.J., and Swayze, G.A., 1990, Material absorption band depth mapping of imaging spectrometer data using a complete band shape least-squares fit with library reference spectra: Proceedings of the 2nd Airborne Visible Infrared Imaging Spectrometer (AVIRIS) Workshop, Jet Propulsion Laboratory, Publication 90-54, p. 176–186.

  • Colwell, R.N., ed., 1983, Manual of remote sensing (2nd ed.): Falls Church, Va., American Society of Photogrammetry, 2,440 p.

    Google Scholar 

  • Culley, R.W., 1973, Use of airborne resistivity surveys for gravel location: Canadian Mining and Metallurgical Bulletin, v. 66, no. 773, p. 70–74.

    Google Scholar 

  • Culley, R.W., 1974, Evaluation of an airborne resistivity system (E-Phase) for gravel location: Saskatchewan Department of Highways, Technical Report 21, 41 p.

  • Daily, M.I., Farr, T., Elachi, C., and Schaber, G., 1979, Geologic interpretation from composited radar and Landsat imagery: Photogrammetric Engineering and Remote Sensing, v. 45, p. 1,109–1,116.

    Google Scholar 

  • Dobrin, M.B., 1960, Introduction to geophysical prospecting: New York, McGraw-Hill, 446 p.

    Google Scholar 

  • Dunn, J.R., 1991, Chapter 4—Geology and exploration,in Barksdale, R.D., ed., The aggregate handbook: Washington, D.C., National Stone Association, p. 4-2–4-45.

    Google Scholar 

  • Duval, J.S., in press, Profiles of gamma-ray and magnetic data for aerial surveys over parts of the western United States from 108 to 126 degrees west longitude and 34 to 49 degrees north latitude: U.S. Geological Survey Digital Data Series DDS.

  • Edwards, W.A.D., and Chao, D.K., 1989, Bibliographic index and overview of aggregate resource publications: Alberta Research Council Internal Report, 93 p.

  • Edwards, W.A.D., and Richardson, R.J.H., 1989, Remote sensing techniques used for sand and gravel exploration by the Alberta Geological Survey: Proceedings, Seventh Thematic Conference on Remote Sensing for Exploration Geology, Calgary, Alberta, Environmental Research Institute of Michigan, p. 151–165.

  • Fraser, D.C., 1978, Resistivity mapping with an airborne multicoil electromagnetic system: Geophysics, v. 43, no. 1, p. 14–172.

    Google Scholar 

  • Gary, Margaret, McAfee, Robert, jr., and Wolf, C.L., 1972, Glossary of geology: Washington, D.C., American Geological Institute, 857 p.

    Google Scholar 

  • George, H., Dusseault, M.B., and Keslik, A.B., 1986, Exploration for buried aggregates by remote sensing techniques—An assessment: Ontario Geological Survey Miscellaneous Paper 130, p. 155–160.

  • Goetz, A.F.H., Vane, Gregg, Solomon, J.E., and Rock, B.N., 1985, Imaging spectrometry for earth remote sensing: Science, v. 228, p. 1,147–1,153.

    Google Scholar 

  • Gorecki, R.C., Schmidt, B.J., and Smith, D.G., 1989, The application of satellite remote sensing to aggregate exploration in northwestern Alberta: Proceedings, Seventh Thematic Conference on Remote Sensing for Exploration Geology, Calgary, Alberta, Canada, Environmental Research Institute of Michigan, v. II, p. 701–712.

    Google Scholar 

  • Grant, F.S., and West, G.F., 1965, Interpretation theory in applied geophysics: McGraw-Hill, 584 p.

  • Grauch, V.J.S., Blakely, R.J., Blank, H.R., Oliver, H.W., Plouff, Donald, and Ponce, D.A., 1988, Geophysical delineation of granitic plutions in Nevada: U.S. Geological Survey Open-File Report 88-11, 7 p., 2 plates (1∶1,000,000).

  • Heilman, J.L., and Moore, D.G., 1981, HCMM detection of high soil moisture areas: Remote Sensing of Environment, v. 11, p. 73–78.

    Google Scholar 

  • Henry, C.J., 1989, Exploration for construction materials for Botswana roads: Proceedings, Seventh Thematic Conference on Remote Sensing for Exploration Geology, Calgary, Alberta, Canada, Environmental Research Institute of Michigan, v. I, p. 603–614.

    Google Scholar 

  • Holmes, Arthur, 1965, Principles of geology: New York, Roland Press, 1,288 p.

    Google Scholar 

  • Hoover, D.B., Heran, W.D., and Hill, P.L. 1992, The geophysical expression of selected mineral deposit models: U.S. Geological Survey Open-File Report 92-557, 129 p.

  • Hunt, G.L., 1980, Chapter 2, Electromagnetic radiation—The communication link in remote sensing,in Siegal, B.S., and Gillespie, A.R., eds., Remote sensing in geology: New York, John Wiley and Sons, p. 5–45.

    Google Scholar 

  • Huntley, D., 1978, On the detection of shallow aquifers using thermal infrared imagery: Water Resources Research, v. 14, p. 1,075–1,083.

    Google Scholar 

  • Idso, S.B., Schmugge, T.J., Jackson, R.D., and Reginato, R.J., 1975, The utility of surface temperature measurements for the remote sensing of soil water status: Journal of Geophysical Research, v. 80, p. 3,044–3,049.

    Google Scholar 

  • Jackson, R.D., Cihlar, J., Estes, J.E., Heilman, J.L., Ralke, A., Kanemasu, E.T., Millard, J., Price, J.C., Wiegand, C., 1978, Soil moisture estimation using reflected solar and emitted thermal radiation: Chapter 4, Soil Moisture Workshop, NASA Conference Publication 2073, 219 p.

  • Janza, F.J., ed., 1975, Chapter 4, Interaction mechanisms—Manual of remote sensing: American Society of Photogrammetry, p. 75–179.

  • Johnson, G.R., 1983, Rock property measurements and analysis of selected igneous, sedimentary, and metamorphic rocks from world-wide localities: U.S. Geological Survey Open-File Report 83-736, 36 p.

  • Kahle, A.B., 1977, A simple thermal model of the Earth's surface for geologic mapping by remote sensing: Journal of Geophysical Research, v. 82, p. 1,673–1,680.

    Google Scholar 

  • Kahle, A.B., and Goetz, A.F.H., 1983, Mineralogic information from a new airborne thermal infrared multispectral scanner: Science, v. 222, p. 24–27.

    Google Scholar 

  • Keller, G.V., and Frischknecht, F.C., 1966, Electrical methods in geophysical prospecting: Pergamon Press, 523 p.

  • Kilmer, V.J., ed., 1982, Handbook of soils and climate in agriculture: CRC Press, Inc., 144 p.

  • Krumbein, W.C., and Sloss, L.L., 1963, Stratigraphy and sedimentation: San Francisco, W.H. Freeman and Company, 660 p.

    Google Scholar 

  • Langer, W.H., 1988, Natural aggregates of the conterminous United States: U.S. Geological Survey Bulletin 1594, 33 p.

  • Langer, W.H., and Glanzman, V.M., 1993, Natural aggregate-Building America's future: U.S. Geological Survey Circular 1110, 39 p.

  • Lillisand, T.M., and Kiefer, R.W., 1979, Remote sensing and image processing: New York, John Wiley and Sons, 396 p.

    Google Scholar 

  • Link, L.E., 1979, Thermal modeling of battlefield scene components: Miscellaneous Paper EL-79-5, U.S. Army Engineer Waterways Experiment Station, CE, Vicksburg, Mississippi.

  • Livo, K.E., Clark, R.N., and Knepper, D.H., Jr., 1993, SPVIEW-Spectral plot program for accessing the USGS digital spectral library database with MS-DOS personal computers: U.S. Geological Survey Open-File Report 93-593, 42 p.

  • Lyon, R.J.P., 1965, Analysis of rocks by spectral infrared emission (8–25 μm): Economic Geology, v. 60, p. 715–736.

    Google Scholar 

  • Lyon, R.J.P., and Honey, F.R., 1991, Extraction of thermal exitance spectra (TIR) from Geoscan Mk II scanner imagery—Spectra derived from airborne (mobile) and ground (stationary) imagery compared with spectra from direct exitance spectrometry: Proceedings, Eighth Thematic Conference on Geologic Remote Sensing, Ann Arbor, Michigan, Environmental Research Institute of Michigan, p. 117–130.

  • Lyon, R.J.P., and Patterson, J.W., 1966, Infrared spectral signatures—A field geological tool: Proceedings, Fourth Symposium on Remote Sensing of Environment, Ann Arbor, Michigan, University of Michigan, p. 215–230.

  • MacDonald, M.C., 1991, Phenomenology and exploitation of enhanced thermal infrared multispectral scanner data (TIMS) for geologic mapping applications in the Pancake Mining District, Northern Nye County, Nevada: Proceedings, Eighth Thematic Conference on Geologic Remote Sensing, Denver, Colorado, Environmental Research Institute of Michigan, p. 701–707.

  • Marek, C.R., 1991, Chapter 3—Basic properties of aggregate,in Barksdale, R.D., ed., The aggregate handbook: Washington, D.C., National Stone Association, p. 3-2–3-67.

    Google Scholar 

  • McNeill, J.D., and Labson, V.F., 1991, Geological mapping using VLF radio fields,in Nabighian, M.N., ed., Electromagnetic methods in applied geophysics, v. 2, Part B: Society of Exploration Geophysicists, p. 521–640.

  • Meinzer, O.E., 1923, Outline of ground-water hydrology: U.S. Geological Survey Water-Supply Paper 494, 71 p.

  • Merifield, P.M., Hazen, R.S., and Evans, D.L., 1984, Discrimination of desert surficial materials for engineering/environmental geology applications utilizing coregistered Landsat MSS and Seasat SAR data: Proceedings, Third Thematic Conference, Remote Sensing for Exploration Geology, Colorado Springs, Colorado, Environmental Research Institute of Michigan, p. 487–496.

  • Middleton, R.S., 1977, Ground and airborne geophysical studies of sand and gravel in the Toronto region: Ontario Geological Survey Study GS18, 37 p.

  • Miller, S.H., and Watson, Kenneth, 1977, Evaluation of algorithms for geological thermal-inertia mapping: Proceedings, 11 th International Symposium on Remote Sensing of Environment, Environmental Research Institute of Michigan, p. 1,147–1,160.

  • National Aeronautics and Space Administration, 1991, EOS Reference Handbook: NASA Goddard Space Flight Center, 147 p.

  • Odum, J.K., and Miller, C.H., 1988, Geomorphic, seismic, and geotechnical evaluation of sand and gravel deposits in the Sheridan, Wyoming, area: U.S. Geological Survey Bulletin 1845, 32 p.

  • Paterson, N.R., and Ronka, V., 1971, Five years of surveying with the very low frequency-electromagnetic method: Geoexploration, v. 9, p. 7–26.

    Google Scholar 

  • Peterson, J.B., Goodrick, F.E., and Melhorn, W.N., 1975, Delineation of the boundaries of a buried pre-glacial valley with Landsat-1 data: Proceedings, NASA Earth Resources Survey Symposium, First Comprehensive Symposium on the Practical Application of Earth Resources Survey Data, Houston, Texas, NASA TM X-58168, v. I-A, p. 97–103.

    Google Scholar 

  • Phillips, J.D., Duval, J.S., and Ambroziak, R.A., 1993, National geophysical data grids—Gamma-ray, gravity, magnetic, and topographic data for the conterminous United States: U.S. Geological Survey Digital Data Series DDS-9, 1 CD-ROM.

  • Pratt, D.A., 1978, A study of the remote determination of thermal inertia for hydrogeological and geological mapping: University of Newcastle, N.S.W, Ph.D. thesis, 192 p.

  • Pratt, D.A., and Ellyett, C.D., 1979, The thermal-inertia approach to mapping of soil moisture and geology: Remote Sensing of Environment, v. 8, p. 151–168.

    Google Scholar 

  • Raines, G.L., and Canney, F.C., 1980, Chapter 12—Vegetation and geology,in Siegal, B.S., and Gillespie, A.R., eds., Remote sensing in geology: New York, John Wiley and Sons, p. 365–380.

    Google Scholar 

  • Ray, R.G., 1960, Aerial photographs in geologic interpretation and mapping: U.S. Geological Survey Professional Paper 373, 230 p.

  • Reeves, R.G., ed., 1975, Manual of remote sensing (first ed.): American Society of Photogrammetry, Falls Church, Va., 2,144 p.

    Google Scholar 

  • Sabins, F.F., 1984, Geologic mapping of Death Valley from Thematic Mapper, thermal infrared, and radar images: Proceedings, International Symposium on Remote Sensing of Environment, Third Thematic Conference, Remote Sensing for Exploration Geology, Ann Arbor, Michigan, Environmental Research Institute of Michigan, p. 139–152.

  • Schaber, G.G., Berlin, G.L., and Brown, W.E., Jr., 1976, Variations in surface roughness with Death Valley, California-Geologic evaluation of 25-cm radar images: geological Society of America Bulletin, v. 87, p. 29–41.

    Google Scholar 

  • Schmugge, T.J., Jackson, T.J., and McKim, H.L., 1980, Survey of methods for soil moisture determination: Water Resources Research, v. 16, no. 6, p. 961–979.

    Google Scholar 

  • Scholen, D.E., Clerke, W.H., and Luepke, D.E., 1985, Locating subsurface gravel with thermal imagery,in Kahle, A.B., and Abbott, Elsa, eds., The TIMS data user's workshop: NASA Jet Propulsion Laboratory JPL Publication 86-38, 59 p.

  • Schwochow, S.D., Shroba, R.R., and Wicklein, P.C., 1974, Sand, gravel, and quarry aggregate resources, Colorado Front Range counties: Colorado Geological Survey, Department of Natural Resources Special Publication 5-A, 43 p.

  • Singhroy, V.H., 1992, Radar geology—Techniques and results: Episodes, v. 15, no. 1, p. 15–20.

    Google Scholar 

  • Singhroy, V.H., and Barnett, P.J., 1984, Locating subsurface mineral aggregate deposits from airborne infrared imagery (reflected and thermal)—A case study in southern Ontario: Proceedings, International Symposium on Remote Sensing of Environment, Third Thematic Conference, Remote Sensing for Exploration Geology, Colorado Springs, Colorado, Environmental Research Institute of Michigan, p. 523–539.

  • Singhroy, V.H., Kenny, F.M., and Barnett, P.J., 1989, Radar imagery for Quaternary geological mapping in glaciated terrains: Proceedings, Seventh Thematic Conference on Remote Sensing for Exploration Geology, Calgary, Alberta, Canada, Environmental Research Institute of Michigan, p. 591–600.

  • Skirvin, S.M., 1991, Use of processed Landsat Thematic Mapper data to detect surface soil moisture over mountain pediments, southeastern Arizona: Proceedings, Eighth Thematic Conference on Geologic Remote Sensing, Ann Arbor, Michigan, Environmental Research Institute of Michigan, p. 145–157.

  • Sumner, J.S., 1976, Principles of induced polarization for geophysical exploration: Elsevier, 277 p.

  • Tepordei, V.V., 1993a, Construction sand and gravel—1991: U.S. Bureau of Mines Annual Report, 19 p.

  • Tepordei, V.V., 1993b, Crushed stone—1991: U.S. Bureau of Mines Annual Report, 43 p.

  • Thornbury, W.D., 1969, Principals of geomorphology (2nd ed.): New York: John Wiley and Sons, Inc., 594 p.

    Google Scholar 

  • U.S. Department of Interior, 1981, Concrete manual: Water and Power Resources Service Technical Publication, 627 p.

  • U.S. Geological Survey, 1981, Geological Survey Research 1981: U.S. Geological Survey Professional Paper 1275, 252 p.

  • Van Schmus, W.R., 1984, Radioactivity properties of minerals and rocks,in Carmichael, R.S., ed., CRC handbook of physical properties of rocks: p. 281–293.

  • Vavilin, L.N., Vorob'ev, V.P., Efimov, A.V., Zelenetskiy, D.S., Mateyev, A.V., and Filimonov, V.V., 1982, Aerogammaspektrometriya v geologii [airborne gamma-spectrometry in geology]: Nedra, Leningrad, 271 p.

    Google Scholar 

  • Vickers, R.S., and Lyon, R.J.P., 1967, Infrared sensing from spacecraft—A geological interpretation: American Institute Aeronautics and Astronautics, Thermophysics Specialist Conference Proceedings Paper no. 67-284, 10 p.

  • Watson, K., 1971, A computer program of thermal modeling for interpretation of infrared images: U.S. Geological Survey Report PB 203578, Washington, D.C.

  • —, 1975, Geologic applications of thermal infrared images: Proceedings, Institute of Electrical and Electronics Engineers, v. 63, p. 128–137.

    Google Scholar 

  • —, 1992a, Spectral ratio method for measuring emissivity: Remote sensing of Environment, v. 42, p. 117–121.

    Google Scholar 

  • —, 1992b, Two-temperature method for measuring emissivity: Remote Sensing of Environment, v. 42, p. 117–121.

    Google Scholar 

  • Watson, Kenneth, and Knepper, Daniel H., Jr., eds., 1994, Airborne remote sensing for geology and environment—Present and future: U.S. Geological Survey Bulletin 1926, 43 p.

  • Watson, Ken, and Raines, G.L., 1987, Exploration remote sensing—A look to the future,in Garland, G.D., ed., Proceedings of Exploration '87, Third Decennial International Conference on Geophysical and Geochemical Exploration for Minerals and Groundwater: Ontario Geological Survey Special Volume, 3, p. 78–87.

  • West, T.R., Mundy, S.A., and Moore, M.C., 1976, Evaluation of gravel deposits using remote sensing data, Wabash River valley north of Terre Haute, Indiana: Proceedings, Twenty Seventh Annual Highway Geology Symposium, Orlando, Florida, p. 199–214.

Download references

Author information

Authors and Affiliations

Authors

Additional information

On the cover: Northward view of alluvial fans along San Luis Valley, southcentral colorado. This image was created in the U.S. Geological Survey (USGS) Remote Sensing laboratory by digitally draping SPOT panchromatic satellite data resampled to 30 meters pixels resolution over the 1∶24,000 USGS DEM of the Bonanza, Whle Hill, Bushnell Peak, Graveyard Guich, Klondike Mine, and Villa Grove quadrangles.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Knepper, D.H., Langer, W.H. & Miller, S. A survey of natural aggregate properties and characteristics important in remote sensing and airborne geophysics. Nat Resour Res 4, 99–120 (1995). https://doi.org/10.1007/BF02257020

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02257020

Key words

Navigation