Monitoring the effects of air pollution on terrestrial ecosystems in Varanger (Norway) and Nikel-Pechenga (Russia) using remote sensing

Tømmervik, Hans; Johansen, Bernt; Pedersen, J.P.

doi:10.1016/0048-9697(95)04409-t

Cited by 51 publications

(11 citation statements)

References 5 publications

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“…Remote sensing techniques have previously been used to identify areas of low vegetative cover in the vicinities of smelting and roasting operations [17][18][19][20][21][22], and to monitor changes in vegetation cover in areas of past and ongoing environmental degradation related to such operations [20,[23][24][25][26][27][28][29][30]. Remote sensing techniques have also been used to more generally help highlight areas affected by past smelting activities [31], and to discriminate rocks and minerals in related mine tailings [32][33][34][35][36][37].…”

Section: Remote Sensing Of Black Rock Coatings Near Smeltersmentioning

confidence: 99%

Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada

Leverington

Schindler

2016

Remote Sensing

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Base metal smelting activities can produce acidic rain that promotes vegetation loss and the development of black coatings on bedrock. Such coatings can form over large areas and are among the most prominent long-term vestiges of past smelting activities. In this study, multispectral images derived from Hyperion reflectance data were evaluated with regard to their utility in the discrimination and mapping of black rock coatings near Sudbury. Spectral angle mapper (SAM) classifications generated on the basis of image-derived endmember spectra could not be used to properly identify major exposures of coated bedrock without also producing substantial confusion with uncoated classes. Neural network and maximum likelihood classifications produced improved representations of the spatial distribution of coated bedrock, though confusion between coated and uncoated classes is problematic in most outputs. Maximum likelihood results generated using a null class are noteworthy for their effectiveness in highlighting exposures of coated bedrock without substantial confusion with uncoated classes. Although challenges remain, classification results confirm the potential of remote sensing techniques for use in the worldwide detection, mapping, and monitoring of coating-related environmental degradation in the vicinities of base metal smelters.

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Section: Remote Sensing Of Black Rock Coatings Near Smeltersmentioning

confidence: 99%

Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada

Leverington

Schindler

2016

Remote Sensing

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“…The data sets have been collected by NORUT IT during the period 1990-1993. During the summer periods from 1990 until 1992 field studies were conducted by NORUT IT (Tammervik et al, 1991;Tammervik et al, 1993;Temmervik et al, 1995). Some of the fieldwork was done on the same day as the casi campaign.…”

Section: Fieldworkmentioning

confidence: 99%

“…The spectral signatures for the classification of the eight band combination are presented in Table 3 and in Figure 5. The individual classes have been identified and interpreted using knowledge about the area (Temmervik et al, 1995), the fieldwork (Table 4), and results from a spectral similarity analysis ( Figure 6). In the latter the hybrid classification was compared with spectral signature data from a supervised classifi-cation (pedersen et al, 1992).…”

Section: Hybrid Classification Casidatamentioning

confidence: 99%

Use of AirborneCasiSpatial Mode Data for Mapping of Sub-Arctic Mountain Heaths in Pasvik, Northern Norway

Tømmervik

Johansen

Lauknes

1997

Canadian Journal of Remote Sensing

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RESUMECette etude presente les resultats d'un travail realise sur des donnees casi en mode spatial de la region de Pasvik; pres de la frontiere russe, au nord-est de la Norvege. Les donnees casi ont ete acquises au cours de l'et« 1991. L 'objectif general de ce travail consistait a evaluer l'applicabilite de l'utilisation des donnees casi en mode spatial pour la cartographie de la vegetation arbustive de montagne dans la region.Des classifications hybrides non dirtgee/dirigee et des comparaisons des donnees casi avec des donnees Landsat TM de la meme region traitees et classifiees anterieurement montrent que les donnees casi permettent de discriminer l'ensemble de la vegetation et du couvert en plus de classes que les donnees Landsat TM Les zones de vegetation eparse (aussi bien dans le cas des lichens que des plantes vasculaires) ont ete cartographiees de facon plus detaillee avec le capteur casi qu'avec Ie capteur Landsat TM, demontrant que Ie mode spatial de casi est bien adapte pour la cartographie des zones avegetation eparse et de lichens. Ceci est dl1 au fait que la haute resolution spatiale des donnees casi permet de mieux cartographier l'heterogeneite naturelle que les donnees Landsat TM L'estimation de laprecision des donnees casi a ete accomplie par des controles in situ effectues sur deux transects a l'interieur de la zone d'etude. La precision globale de la carte du couvert de vegetation derivee des donnees casi a ete estimee a87.6!J/a±5%, avec un niveau de confiance de 95%, alors que la precision de la carte derivee des donnees Landsat TM a ete estimee a80.6% ± 5.6%, avec un niveau de confiance de 95%. SUMMARYThisstudypresents work undertakenon casi spatial mode data from the Pasvik area close to the Russian border in northeastern Norway. The casi data were acquired during the Summer of1991. The overall objective ofthis work has been to assess the applicability ofusing casi spatial mode data for mapping the mountain heath vegetation within the area.Hybrid unsupervised/supervised classifications and comparisons of casi data with previously processed and classified Landsat TM data from the same area show that the casi data separate the complete vegetation and land cover into more classes than Landsat TM data. Sparsely vegetated areas (both with lichens and vascular plants) were mapped in more detail with the casi sensor than with the Landsat TM sensor, indicating that the casi spatial mode is well suited for mapping sparsely vegetated and lichen covered vegetation. This is due to the fact that the high spatial resolution of the casi data map the natural heterogeneity better than Landsat TM The accuracy assessment of the casi data was performed by in-situ controls of two transects within the test area. The overall accuracy of the casi based vegetation cover map was estimated to be 87.6%±5% at a confidence level of 95%, while the overall accuracy ofthe Landsat TM based map was estimated to be 80.6% ± 5.6% at a confidence levelof95%.

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“…Several studies have shown that satellite data can be efficiently used to monitor air pollution and air pollution effects. For instance [13] compared vegetation land use maps and air pollution emissions data over a 15 year period and found major changes in the environment as a result of high air pollution values. In addition, Moderate Resolution Imaging Spectroradiometer (MODIS) satellite data have been used by [12] in order to analyse the relationship between the aerosol optical thickness (AOT) and the PM10 as indicators of pollution.…”

Section: Introductionmentioning

confidence: 98%

Mapping air pollution using Earth observation techniques for cultural heritage sites

Αγαπίου

Nisantzi

Lysandrou³

et al. 2013

SPIE Proceedings

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Air pollutants, together with climatic parameters, are of major importance for the deterioration of cultural heritage monuments. Atmospheric pollution is widely recognized as one of the major anthropogenic threats to architectural cultural heritage, in particular when associated with water absorption phenomena. Atmospheric particle deposition on surfaces of Monuments (of cultural heritage interest) may cause an aesthetic impact induced by a series of chemical reactions. Therefore there is a need for systematic monitoring and mapping of air pollution for areas where important archaeological sites and monuments are found. Earth observation techniques, such as the use of satellite image for the retrieval of Aerosol Optical Thickness (AOT), are ideal for this purpose. In this paper, all important monuments of the Paphos District, listed by the Department of Antiquities of Cyprus, have been mapped using Geographical Information Systems. Several recent (2012) MODIS satellite images (both Aqua and Terra) have been used to extract the AOT values in this area. Multi-temporal analysis was performed to identify areas of high risk where AOT values are considered to be high. In situ observations have been also carried out to verify the results.

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Monitoring the effects of air pollution on terrestrial ecosystems in Varanger (Norway) and Nikel-Pechenga (Russia) using remote sensing

Cited by 51 publications

References 5 publications

Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada

Detection and Mapping of Black Rock Coatings Using Hyperion Images: Sudbury, Ontario, Canada

Use of AirborneCasiSpatial Mode Data for Mapping of Sub-Arctic Mountain Heaths in Pasvik, Northern Norway

Mapping air pollution using Earth observation techniques for cultural heritage sites

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