Ore- and Bio- Geochemical Survey Based on the Landsat Remotely Sensed Data In and Around the Dexing Porphyry Copper-Polymetal Ore-Field, Southeastern China

A new method for extraction of alteration information using the Landsat 8 imagery in a heavily vegetated and sediments‐covered region: A case study from Zhejiang Province, E. China

“…The average BD (and wavelength) at Peaks 1, 2, and 3 within the Dexing mine is 0.810 (438.4 nm), 1 (679.6 nm), and 1.0973 (1448.8 nm), respectively; and in Tongcun mine, it is 0.9932 (491 nm), 1 (675 nm), and 1.0018 (1359 nm), respectively. The same case goes for other parameters and species such as fern, camphor tree, as well as the (OLI‐based) RVI image, Zhao et al (), for example, reported that the red edges of MF foliage in Dexing (117°43′5.24″E, 29°00′44.22″N) hover around 701 nm, showing a noteworthy blue shift sign.…”

“…To verify the above speculation, necessary is a further study on soil geochemical survey and plant physiological research, but several lines of evidence do prove that the vegetation anomaly in this region is insignificant, and it can hardly serve to ore prospecting. For example, we collected and tested six MF samples in the Dexing supergiant Cu polymetal deposit that is 60 km away from Tongcun, and reportedly the related heavy‐metals pollution is worsening (Zhao, Han, Wu, et al, ). Five of the samples fall within the opencast mining zone and one at the periphery.…”

An integrated approach for extraction of lithology information using the SPOT 6 imagery in a heavily Quaternary‐covered region—North Baoji District of China

“…One of the greatest advantages of remote sensing data from aerial and space platforms lies in enhancing the spectral and texture distinctions (Mekonnen, Woldai, & Carranza, ) of ground objects; however, because of the varied topographic landscapes, undersized bedrock profiles, and extensive ground covering in the study region, the textural information of red sandstone‐bearing strata seems unavailable and their spectral expression is often inadequate or is of insufficient resolution to define certain lithology. Zhao et al () believed that the topographic feature is also a kind of texture; if so, it will provide more questions than answers: for example, can the difference of mechanical properties and weather‐resisting characters between loess and underlying bedrocks produce a more complicated geomorphic landscape? Or is the complicated and varied surficial landscape more favourable to expose the concealed outcrops of bedrock?…”

“…Both visual interpretation and field validation confirmed that in Figure a from left to right, objects represented by the first mass turn out to be waters; the second one represents the loessial hills; and the third one that does not seem like a normal distribution reflects vegetation including farm lands. Most importantly, there is a non‐vegetated transition belt between the first and second masses, in which bare lands, outcrops of bedrock, and floodplains co‐occur (Zhao et al, ); evidently, it is exactly the “narrowed interpretation target area” as previously mentioned.…”