Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mohammed S Ozigis"'
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104286- (2024)
The phenological characteristics of vegetation exposed to oil pollution can reveal how different vegetation types and species respond to the effects of hydrocarbons in crude oil. This can further inform the recovery status and remediation efforts on
Externí odkaz:
https://doaj.org/article/7cd6c5b3b35743848d6f1e6671b0ac9d
Autor:
Ganiyu Omotola Mosuro, Kamaldeen O. Omosanya, Muhedeen Ajibola Lawal, Ahmed Oussou, Adeoye Olugbemi Oshomoji, Immaculate Mary Neh Fru, Phathutshedzo Eugene Ratshiedana, Otobong Sunday Ndukwe, Maropene Tebello Dinah Rapholo, Ovie Emmanuel Eruteya, Adedamola Beatrice Alao-Daniel, Seid Mohammedyasin, Oluwatoyin Ajilore, Nana Fatima Abdulmalik, Soumaya Ben Fredj, A.A. Akinlalu, Hammed A. Lawal, Adeyinka Oluyemi Aturamu, Aaron K. Waswa, Kehinde D. Oyeyemi, Ali Aboul Hacene Tahri, Yahaya Zayyana Ibrahim, Shambel Mituku, Usman Yahaya Yaro, Mohammed S. Ozigis, Sa'ad Ibrahim, Hamisu Isah
Publikováno v:
Journal of African Earth Sciences
As in most disciplines of science, technology, engineering, mathematics and medicine (STEMM), gender disparity is prevalent in the ranking of Earth Sciences faculties at senior and advanced levels. (i.e., Associate and Full Professors). In this study
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f7be7769d1fba7ea0bb2ca00e7c42b6
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015805
https://gfzpublic.gfz-potsdam.de/pubman/item/item_5015805
Publikováno v:
Ozigis, M S, Kaduk, J D, Jarvis, C H, Da Conceição Bispo, P & Balzter, H 2020, ' Detection of oil pollution impacts on vegetation using multifrequency SAR, multispectral images with fuzzy forest and random forest methods ', Environmental Pollution, vol. 256, pp. 113360 . https://doi.org/10.1016/j.envpol.2019.113360
Oil pollution harms terrestrial ecosystems. There is an urgent requirement to improve on existing methods for detecting, mapping and establishing the precise extent of oil-impacted and oil-free vegetation. This is needed to quantify existing spill ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a14ac7186b40f6b4cdbc64c69398f51f
https://www.research.manchester.ac.uk/portal/en/publications/detection-of-oil-pollution-impacts-on-vegetation-using-multifrequency-sar-multispectral-images-with-fuzzy-forest-and-random-forest-methods(145634d3-c045-4804-baed-e85e329a0b03).html
https://www.research.manchester.ac.uk/portal/en/publications/detection-of-oil-pollution-impacts-on-vegetation-using-multifrequency-sar-multispectral-images-with-fuzzy-forest-and-random-forest-methods(145634d3-c045-4804-baed-e85e329a0b03).html
Publikováno v:
Environmental Science and Pollution Research International
Terrestrial oil pollution is one of the major causes of ecological damage within the Niger Delta region of Nigeria and has caused a considerable loss of mangroves and arable croplands since the discovery of crude oil in 1956. The exact extent of land
Publikováno v:
Active and Passive Microwave Remote Sensing for Environmental Monitoring II.
Terrestrial Oil spills pose serious health risk to human lives from indirect ingestion of contaminated drinking water, aquatic products and on contaminated farmland produce. Spill impact mapping is essential in establishing the extent of damage by oi
Publikováno v:
Sixth International Conference on Remote Sensing and Geoinformation of the Environment (RSCy2018).
Detection of oil pollution have been evaluated and assessed by several authors adopting such techniques as field spectroscopy, vegetation health indices, canopy water use efficiency and UAVSAR Polarimetric Backscatter and Decomposition among several