4.7 Article

Assessing Vegetation Decline Due to Pollution from Solid Waste Management by a Multitemporal Remote Sensing Approach

Journal

REMOTE SENSING
Volume 14, Issue 2, Pages -

Publisher

MDPI
DOI: 10.3390/rs14020428

Keywords

multitemporal satellite; time series; remote sensing; Landsat; Theil-Sen estimator; Mann-Kendall test; potential toxic elements; NDVI trend

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This research aims to identify the potential effects of potentially toxic element (PTE) pollution due to waste disposal activities in three potentially contaminated sites in southern Italy. Analysis of satellite images indicates that previous waste disposal activities do not seem to have significantly affected the vegetation around the targeted sites.
Nowadays, the huge production of Municipal Solid Waste (MSW) is one of the most strongly felt environmental issues. Consequently, the European Union (EU) delivers laws and regulations for better waste management, identifying the essential requirements for waste disposal operations and the characteristics that make waste hazardous to human health and the environment. In Italy, environmental regulations define, among other things, the characteristics of sites to be classified as potentially contaminated. From this perspective, the Basilicata region is currently one of the Italian regions with the highest number of potentially polluted sites in proportion to the number of inhabitants. This research aimed to identify the possible effects of potentially toxic element (PTE) pollution due to waste disposal activities in three potentially contaminated sites in southern Italy. The area was affected by a release of inorganic pollutants with values over the thresholds ruled by national/European legislation. Potential physiological efficiency variations of vegetation were analyzed through the multitemporal processing of satellite images. Landsat 5 Thematic Mapper (TM) and Landsat 8 Operational Land Imager (OLI) images were used to calculate the trend in the Normalized Difference Vegetation Index (NDVI) over the years. The multitemporal trends were analyzed using the median of the non-parametric Theil-Sen estimator. Finally, the Mann-Kendall test was applied to evaluate trend significance featuring areas according to the contamination effects on investigated vegetation. The applied procedure led to the exclusion of significant effects on vegetation due to PTEs. Thus, waste disposal activities during previous years do not seem to have significantly affected vegetation around targeted sites.

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