A Canadian perspective on the application of satellite remote sensing to regional geobotany

Bruce, B.; JohnK., Hornsby

doi:10.1080/10106048709354108

Cited by 5 publications

(5 citation statements)

References 2 publications

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“…This absorption induces vegetation stress by interfering with chlorophyll activity and inhibiting water suction from soils and water supply to leaves (Barceló & Poschenrieder, 1990;Slonecker, 2011). Additionally, understanding of the relationship of plant formations to geologic conditions and metal contents in soils is essential (Bruce & Hornsby, 1987). The wavelength range from visible to near infrared (VNIR; 400-1400 nm), in which the effect of metal absorption on reflectance spectra is readily apparent, has generally been used for GBRS (Curran et al, 1991;Dunagan et al, 2007;Kooistra et al, 2004;Milton et al, 1989).…”

Section: Introductionmentioning

confidence: 99%

“…The reflectance spectra of a plant canopy has been known to be similar to that of a single leaf, but changeable by several factors such as plant tissue optical properties, canopy biophysical attributes, soil reflectances, and solar illuminations (Asner, 1998;Knipling, 1970). These factors can be related to several controls on vegetation activity, which are classified as internal factors such as leaf geometry and plant physiology, and external factors such as climatic conditions, solar illumination intensity, mineral nutrient supplies related to geology, and water supply (Bruce & Hornsby, 1987;Koide & Koike, 2012). Therefore, the influence of each factor on the reflectance spectra must be examined over the study area.…”

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confidence: 99%

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A new vegetation index for detecting vegetation anomalies due to mineral deposits with application to a tropical forest area

Hede

Kashiwaya

Koike

et al. 2015

Remote Sensing of Environment

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This study aimed at developing a geobotanical remote sensing method to explore mineral deposits in areas covered by thick vegetation. For this, a new vegetation index (VI) is proposed using reflectance data from five bands in the visible green to shortwave infrared region. This index is called VIGS (Vegetation Index considering Greenness and Shortwave infrared), developed so that the VI can accurately detect vegetation stress caused by metal contamination of soils. A set of laboratory experiments was conducted to demonstrate the capability of VIGS, which investigates change in reflectance spectra based on the concentration of four selected metals (Cu, Pb, Zn, and Cd) in soils. The results show that VIGS values are more sensitive to vegetation stress than the Normalized Difference Vegetation Index and can amplify the stress difference, depending on soil metal contents. The VIGS is

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Section: Introductionmentioning

confidence: 99%

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confidence: 99%

A new vegetation index for detecting vegetation anomalies due to mineral deposits with application to a tropical forest area

Hede

Kashiwaya

Koike

et al. 2015

Remote Sensing of Environment

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“…Landsat‐based five NDVI and VIGS images show clear seasonal changes in vegetation activity (Figure a). Consistent with a previous result that spring and autumn are the best seasons to detect the plant physiological response to environments [ Bruce and Hornsby , ], both VI images are contrasted in the autumn images. However, the differences in the VI values between deciduous and evergreen forests are more obvious by VIGS than NDVI, which demonstrates high sensitivity of VIGS to the changes in reflectance spectra of vegetation.…”

Section: Resultsmentioning

confidence: 99%

“…Image processing methods to enhance manifestations of mineralized rocks and soils using reflectance spectra [Fraser and Green, 1987;Crosta and Rabelo, 1993;Carranza and Hale, 2002;Guerschman et al, 2015] have been ineffective under such vegetation condition. The only useful way of mineral exploration under such conditions is to discriminate featured spectral patterns of vegetation anomalies caused by the mineralization [Horler et al, 1980;Bruce and Hornsby, 1987;Rencz and Watson, 1989;Sabins, 1999;Sridhar et al, 2007]. A vegetation anomaly is an unusual physiological activity of plant species or community caused by natural or anthropogenic effects.…”

Section: Introductionmentioning

confidence: 99%

How can satellite imagery be used for mineral exploration in thick vegetation areas?

Hede

Koike

Kashiwaya

et al. 2017

Geochem Geophys Geosyst

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The Hokuroku district, northern Japan, is globally recognized for rich ore deposits (kuroko and vein types), which have been thoroughly explored under thick vegetation cover. This situation is ideal to evaluate the effects of ore deposits on vegetation anomalies through geobotanical remote sensing. Here we present novel methods to detect vegetation anomalies caused by ore deposits and verify their usefulness by comparing the anomalies with a deposit potential map produced from multiple geological data. We use the reflectance spectra of Landsat ETM+ images acquired in summer and autumn to calculate a vegetation index for plant physiological activity. A key variable to detect the anomalies is a variation of vegetation index with time at each pixel. Difference in variation is enlarged by a sequence of image enhancement methods for the detection. We find that the vegetation anomalies, defined by the large ratios, correspond well to the high potential zones of ore deposits and known major deposits. Consequently, our methods can extend the applicability of remote sensing‐based mineral exploration to the areas covered by thick vegetation, in addition to traditional arid and semiarid areas.

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“…4), ðàññ÷èòàííûå ïî ñíèìêàì Landsat, çàðåãèñòðèðîâàííûõ â ðàçíîå âðåìÿ, ïîêàçûâàþò ÷åòêèå ñåçîííûå èçìåíåíèÿ â àêòèâíîñòè ðàñòèòåëüíîñòè. Óñòàíîâëåíî (Bruce, Hornsby, 1987), ÷òî âåñíà, êîíåö ëåòà è îñåíü ÿâëÿþòñÿ ëó÷øèìè ñåçîíàìè äëÿ îïðåäåëåíèÿ ôèçèîëîãè÷åñêîé ðåàêöèè ðàñòåíèé íà îêðóaeàþùóþ ñðåäó, ïîýòîìó áûëè îòîáðàíû ñíèìêè (áåç îáëà÷íîñòè) çà èþëü è àâãóñò, è ïî íèì ïîäñ÷èòàíû âåãåòàöèîííûå èíäåêñû. Íà Ðèñ.…”

Section: âîçìîAeíîñòè ñïóòíèêîâûõ ìåòîäîâ ïðè âûäåëåíèè àðåàëîâ íåôòåunclassified

Areas of oil and gas accumulation in the Pripyat-Dnieper-Donetsk oil and gas province and the possibility of their study by remote methods

Vorobiev

Golubov

Kurylenko

2020

UJRS

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In connection with the need to increase the energy resources of Ukraine, it is essential to expand the areas and depths of prospecting, as well as to improve the methodology and technology of oil and gas exploration. The most promising area for the search for new oil and gas fields in Ukraine remains the Pripyat-Dneprovsko-Donetsk oil and gas province. Increasing the depth of new energy sources because of the increasing cost of exploration and deep drilling requires more accurate and efficient predictions, which should be based on a more rigorous scientific substantiation of new directions of work and the application of new efficient technologies. The article develops the concept of deep degassing of the Earth, which is of great importance for the development of modern ideas about the formation and geological history of the Pripyat-Dnieper-Donetsk oil and gas province. The authors considered the nature of oil and gas accumulation areas and their relationship with the “pipes” of deep degassing of the Earth, as well as the possibilities of structural-tectonic, lithological-geochemical and remote sensing methods in identifying new oil and gas fields in the Pripyat-Dnieper-Donetsk oil and gas province and signs of their connection with «pipes» hydrocarbon deep degassing of the Earth. To implement new methodology and technology of prospecting, exploration of oil and gas fields, the article proposes to make wider use of the modern capabilities of satellite methods, which make it possible to quickly cover large areas with multiple surveys, increase the efficiency of solving geological problems, and also significantly reduce the cost of oil and gas exploration.

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A Canadian perspective on the application of satellite remote sensing to regional geobotany

Cited by 5 publications

References 2 publications

A new vegetation index for detecting vegetation anomalies due to mineral deposits with application to a tropical forest area

A new vegetation index for detecting vegetation anomalies due to mineral deposits with application to a tropical forest area

How can satellite imagery be used for mineral exploration in thick vegetation areas?

Areas of oil and gas accumulation in the Pripyat-Dnieper-Donetsk oil and gas province and the possibility of their study by remote methods

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