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| Bajjouk, Touria; Jauzein, Cecile; Drumetz, Lucas; Dalla Mura, Mauro; Duval, Audrey; Dubois, Stanislas. |
| Sabellaria alveolata is a sedentary gregarious tube-building species widely distributed from southwest Scotland to Morocco. This species builds what are currently considered the largest European biogenic reefs in the bay of Mont-Saint-Michel (France). As an ecosystem engineer, S. alveolata generates small to large scale topographic complexity, creating numerous spatial and trophic niches for other species to colonize. Sabellaria reefs are also under anthropogenic pressures, leading locally to massive degradation. However, stakeholders lack spatially explicit measures of reef ecological status, at adapted spatial resolution to provide key management information for this protected habitat. Traditional field surveys are extremely time-consuming and rely on... |
| Tipo: Text |
Palavras-chave: Benthic habitats; Biogenic reefs; Ecological status; Hyperspectral; Intertidal; Lidar; Mapping. |
| Ano: 2020 |
URL: https://archimer.ifremer.fr/doc/00654/76574/77710.pdf |
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| GÜRTLER, S.; SOUZA FILHO, C. R.; SANCHES, I. D.; MAGALHÃES, L. A.; ALVES, M. N.; OLIVEIRA, W. J.; QUITÉRIO, G. C. M.. |
| ABSTRACT: Leaks from accidents or damage to pipelines that transport liquid petroleum hydrocarbons (PHC) such as gasoline and diesel are harmful to the environment as well as to human health, and may be hard to detect by inspection mechanisms alone when they occur in small volumes or persistently. In the present study, we aim to identify spectral anomalies in two plant species (Brachiaria brizantha and Neonotonia wightii) linked to contamination effects at different developmental phases of these plants. To do so, we used spectroscopy and remote sensing approaches to detect small gasoline and diesel leaks by observing the damage caused to the vegetation that covers simulated pipelines. We performed a contamination test before and after planting using... |
| Tipo: Artigo de periódico |
Palavras-chave: Contamination; Liquid hydrocarbons; Vegetation stress; Hyperspectral; Reflectance spectroscopy. |
| Ano: 2022 |
URL: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1144834 |
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