Details zur Publikation |
| Kategorie | Textpublikation |
| Referenztyp | Zeitschriften |
| DOI | 10.1007/s13762-021-03304-3 |
| Volltext | Shareable Link |
| Titel (primär) | Mapping spatial distribution of invasive alien species through satellite remote sensing in Karachi, Pakistan: an urban ecological perspective |
| Autor | Kazmi, J.H.; Haase, D.; Shahzad, A.; Shaikh, S.; Zaidi, S.M.; Qureshi, S. |
| Quelle | International Journal of Environmental Science and Technology |
| Erscheinungsjahr | 2022 |
| Department | CLE |
| Band/Volume | 19 |
| Heft | 5 |
| Seite von | 3637 |
| Seite bis | 3654 |
| Sprache | englisch |
| Topic | T5 Future Landscapes |
| Keywords | Invasive alien species; Native species; Climate change; Remote sensing; Spatial extent; Hot spots |
| Abstract | The exponential population growth of Karachi city has taken a very heavy toll on the indigenous environment of this South Asian megacity. In this context, the unlikely roadsides plantation of nonnative species by the city decision-makers was a short-term solution to cultivate green belts, ultimately, to improve city environment. However, this has backfired and become a very serious ecological crisis as the species become invasive alien species and destroyed the native ecological environment of the city significantly. This study provided an accurate spatial extent of invasive alien species and evaluated the intensity of the problem using remote sensing technology. Firstly, the importance value index was developed to highlight the intensity of invasive alien species in native plant communities. Afterwards, the hot spots were sampled to develop training areas for Object Based Image Analysis to map the extent of invasive alien species in the city using high-resolution GeoEye satellite imagery. The overall accuracy of mapping was 93.17% with Kappa coefficient value of 0.904. In addition, to explore hyperspectral remote sensing analysis, two techniques—Derivative Vegetation Index and Spectral Angle Mapper—were employed on EO-I hyperspectral imagery to map invasive alien species using spectral signatures. The analysis revealed 99.94% correlation between the two mapping techniques. Finally, to identify the impact of invasive alien species on the microclimate of the city, a spatiotemporal analysis (1992–2016) at selected sites was performed on Landsat thermal images. The study ruled out the concept of invasive alien species influence on the microclimate of the city as both vegetation growth and ambient air temperature change were not interdependent. |
| dauerhafte UFZ-Verlinkung | https://www.ufz.de/index.php?en=20939&ufzPublicationIdentifier=24578 |
| Kazmi, J.H., Haase, D., Shahzad, A., Shaikh, S., Zaidi, S.M., Qureshi, S. (2022): Mapping spatial distribution of invasive alien species through satellite remote sensing in Karachi, Pakistan: an urban ecological perspective Int. J. Environ. Sci. Technol. 19 (5), 3637 - 3654 10.1007/s13762-021-03304-3 |
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