The Goldfield, Nevada Study, and Other Sites - Remote Sensing Application - Completely Remote Sensing tutorial, GPS, and GIS -
The Goldfield, Nevada Study, and Other Sites

In the early ERTS (Landsat-1) days, several geologic investigations were aimed at determining whether the MSS (and later, the TM) sensor could produce images (any mode: natural or false color; ratio; PCA; Unsupervised Classification; others) in which tell-tale signs of alteration of minerals in near surface deposits could be detected. Flip back to page 5-1 for the discussion of the principles involved. Most commonly sought were indications of hydrated iron oxides (gossans).

The best known and ballyhooed study was that of Goldfield, an active mining district in south-western Nevada, about 30 km (20 miles) south of Tonapah (a major mining area) on U.S. Highway 95. It was one of many small to medium active or abandoned mines (including the Cuprite district, discussed later) from which gold, silver, and copper have been extracted. The study was directed by Dr. Lawrence C. Rowan of the U.S. Geological Survey, with assistance from Pamela Wetlaufer of the U.S.G.S. and Alexander F.H. Goetz of JPL, and others. Their strategy was simple: Test the Landsat capabilities for gossan detection by using areas known to have this alteration widespread and well displayed.

The gossan can be observed easily when driving the highway that passes through the Goldfield site. On either side are natural discolorations in browns, yellows, and infrequently orange in the surface soil above the underlying volcanic rocks. This landscape also displayed prospecting pits exposing even fresher gossan alteration. This is a typical view:

Ground photo showing altered volcanic rocks at Goldfield, with prominent brown iron staining.
Photo courtesy Phoebe Hauff, Spectral International, Inc.

Here is the original ERTS-1 scene in color which contains the Goldfield alteration anomalies. It is difficult to find Goldfield in this rendition - it is close to the white circular patch in the upper right - but as you become familiar with it in subsequent views on this page you can return to this image and probably will find Goldfield. As rendered here, it is hard to spot anything anomalous around Goldfield.

Landsat-1 false color composite of south-central Nevada containing the Goldfield alteration zones around areas of active gold mining.

Here is a large part of a Landsat-1 image, in quasi-false color, that includes the Goldfield district, to the SSW of the white patch:

Landsat subscene that includes the Goldfield district.

The prominent mountain belt near the upper right is the Kawich Range. The near circular white patch is Mud Lake (normally dry - a playa - but may contain a thin water cover after heavy rains). Goldfield lies just below the brown patch that touches Mud Lake at its south end. The Cuprite Mining district is hard to see but occurs west of the peak-like Stonewall Mountain in the lower left of the image.

A perspective view, made by combining ASTER with DEM data shows this area as though seen from an airplane. The alteration zones have been colored in with blues, reds, and greens:

Perspective view made from an ASTER subimage and DEM topographic data
Photo courtesy Spectral International, Inc.

The Investigation Team produced a ratio version of this image, in which MSS Bands 4/5 appear in blue; 5/6 in yellow; and 6/7 in magenta. Vegetation is shown in orange; basalts in gray; silicic extrusives in pinkish-orange; the playa in blue. Goldfield is below A (look for arrows); Cuprite is near O and D; G locates the west end of Pahute Mesa, whick lies in an extension of the Nevada Test Site. The large mountain block near upper right (in orangish-red) is the Kawich Range.

Color ratio image, made from MSS bands, of the above Goldfield scene.

The writer (NMS) tried his hand at bringing out gossan anomalies using ratioing. In this next image, MSS Bands 4/5 = blue; 5/6 = green; and 6/7 = red. The anomaly at Goldfield showed up as a distinct and separable orange-brown (near and below center left). Its shape is an elongate E-W patch, with a tendency to form a hook at its east end, which in different versions is a "trademark" of the Goldfield anomaly. That color occurs elsewhere, particularly in desert slopes to the east, and also around Cuprite.

Another ratio image of the Goldfield District and surroundings.

Using Landsat TM data, this hook pattern has been more emphatically defined in this ratio composite (5/7, 3/1; 4/5 as RGB); the Cuprite alteration zone also is identified at the red-brown patch near bottom left:

The central anomaly at Goldfield in this Landsat Ratio Composite.

Larry Rowan's group extracted what they believed to be anomalies relating to several varieties of alteration. Check their map (the form of the Goldfield anomaly [large green patch on map] is sketched in the lower right):

Anomalies detected in the Landsat MSS processed imagery (ratios, etc.) for Goldfield and other mining districts.

In the map below are X's that represent individual mining areas and prospects in a region corresponding to the Anomalies map just above. Switch back and forth between the two; you will note that most of the X's coincide with the color patches. The correlation appears good enough to be reasonably convincing.

Map of known and reported alteration anomalies in this part of Nevada.

TM data have been processed to extract more information on the alteration present. This is a ratio image, with TM Bands 3/1 = red, indicating iron; 5/4 = green, denoting silica; and 5/7 = blue, picking out clay minerals.

Minerals map of Goldfield deposits using TM data
Image courtesy Sandra Perry, Spectral International, Inc.

A Principal Components image (subjected to a decorrelation stretch) of the Goldfield anomaly using data obtained from an AVIRIS mission yields this result:

PCA map of alteration at Goldfield.

Image courtesy William Peppin, Spectral International, Inc.

Specific minerals are identified using this hyperspectral data set. For clays, pink = Kaolinite; red = Dickite; dark blue = Illite; for other secondary minerals, green = Alunite;

This group has also tested the ASTER sensor on Terra (page 16-10) for its capability in recognizing specific types of chemical alteration. The next two images show a color composite of the Goldfield area with, in the top image, Silicon dioxide (silica) colored blue, and the bottom one, with the clay mineral illite in blue, the clay minerals dickite and kaolinite in green, and alunite and pyrophyllite in red:

ASTER image of the Goldfield district with the distribution of silica-enriched rocks shown in blue.
ASTER image of the Goldfield district with the various clay minerals and other alteration products listed in the above paragraph shown in selected colors.

Additional information on the above four images, and on other applications of hyperspectral remote sensing can be found by visiting Spectral International, Inc's Web Site.

Turning to the nearby Cuprite mining district (just south of Goldfield), take a look at a tantalizing look at a powerful remote sensing product - hyperspectral images made with the AVIRIS (Airborne Visible-InfraRed Imaging Spectrometer) now being flown by JPL and the U.S. Geological Survey - which will be covered in detail in Section 13. Shown below (and again, in context, on page 13-10) is an image that delineates iron-bearing minerals and clay minerals around the Cuprite, Nevada mining district. This kind of detailed plot of the distribution of ore-guide mineralogy represents the current state-of-the-art capability of sensors suited for mineral exploration (along with many other uses outside of geology).

Mineral alteration image of the Cuprite, Nevada, mining district based on selected narrow bands from the AVIRIS hyperspectral sensor flown during a 1995 mission.

Cuprite is used as a prime test site by private companies that fly hyperspectral missions for mineral and petroleum exploration. Here is an image made by the TeraElement Corp. of this site:

Results from a hyperspectral sensor overflight at Cuprite, NV.

Another example of ASTER imagery's value for discerning alteration is found at the Morenci mining district, in Arizona. This image shows a bright, broad reddish area around the active open pit mine, which is an expression of gossan alteration:

ASTER image showing alteration around the Morenci mine, upper right.

Many minerals in an alteration zone can be identified specifically, as indicated from the legend for this AVIRIS image of the Marysvale mining district in Utah.

AVIRIS spectrometric determination of the mineralogy of the alteration zone around the Marysvale, Utah mining district.

Spectral International provides services worldwide for mineral exploration using remote sensing. Keeping with the theme of precious materials, here is an ASTER image of the Kimberley District in Australia, where diamonds are mined from an ultrabasic igneous rock type called Kimberlite. Here at the Argyle mine, Kimberlite veins in the open pit and surroundings are shown in two views. The veins are in green in the upper view; the red in the lower view is a kimberlite pipe (a cylindrical-like intrusion).

The Argyle mine in Australia, source of diamonds.

Spectral International has also surveyed a zinc metal mining district in Namibia, Africa. Two views based on ASTER data (with an image background) of the Skorpion Mine shows left to right 1) a false color image; and 2) a plot of alteration dominated by variations in illite in reds and greens:

False color image of the Skorpion Mine Illite distribution at the Skorpion Mine area.

These last images above, of the alteration minerals at severak well-known mining districts, all support the claim that remote sensing - especially that using the hyperspectral approach - is fast becoming a major tool in exploring for mineral deposits of commercial value from air and space platforms. For geologists, this approach is almost "revolutionary".

Remote sensing has also been applied to the hunt for uranium minerals. Some of these are associated with mineral deposits that oxidize or "rust" giving telltale alteration signatures. But prospecting for uranium minerals is usually done with handheld Geiger counters or scintillometers. Many uranium minerals are sought in certain rock types - often shale, but also sandstones and limestones. This next image is a specially enhanced subscene of a Landsat image in which different colors associate with different lithologies. The area shown is the San Rafael Swell, a broad dome with gentle outward dipping strata. It lies just north of the Waterpocket Fold, Utah, that we studied in Section 2. It, and surrounding regions in Utah, were prime prospecting targets of the "uranium boom" of the 1950s.

Landsat re-processed scene showing the San Rafael Swell, an anticlinal dome in south-central Utah.

As a peripheral observation, but again in Utah, we show here a space image of the famed Bingham Copper Mine, which is the world's largest open pit mine, in the Oquirhh Mountains west of Salt Lake City.

The Bingham Copper open pit mine near Salt Lake City.

There is an alteration map of the natural alteration and that brought about by mining operations at the Bingham Mine which was made during an AVIRIS overpass. Unfortunately, the colors were not identified as to mineralogy in the online source.

Alteration (natural and extraction-related) at the Bingham Mine, imaged by AVIRIS

Mining waste is a sure sign that some ore deposit of commercial value is being exploited. After the first California gold rush of 1849, placer deposits within the Sierra Nevada eventually "played out". Some wise prospectors reasoned that gold may also have been carried by the rivers into the Great Valley at the Sierra foothills. Techniques for dredging the river sediment soon proved fruitful, as more gold was discovered. This dredging continued well into the 20th Century and is still active on a limited basis. The visual signatures of this dredging are evident from space, as seen in the patterns formed along the Yuba River in an ASTER image:

ASTER image of dredging patterns in gold sluicing on the Yuba River, California.

Metals exploration is clearly benefiting from remote sensing as a powerful technique for prospecting in isolated regions of the Earth. But the really big payoff could come from successful discoveries of new sources of energy - oil and gas primarily, but coal and uranium as well. That is next in this Section.