Automated Classification of an Environmental Sensitivity Index

Schiller, Helmut; Bernem, Carlo van; Krasemann, H.

doi:10.1007/s10661-005-8041-8

Cited by 9 publications

(4 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Field data are an essential for ESI mapping of monitoring and control systems [25]. Field surveys were carried out in the study area during April 2004 to collect samples and document by writing reports and taking photographs of the features and information related to ESI.…”

Section: Methodsmentioning

confidence: 99%

Evaluation of environmental sensitivity of the coastal plains shoreline to oil spills: Southwestern Sinai coastal plain, Egypt

Wahid¹,

Madden²

2017

EESRJ

View full text Add to dashboard Cite

Assessing the coastal Environmental Sensitivity Index (ESI) is very important for contingency planning for oil spills, especially for regions undergoing urban development. This study is an attempt to identify the sensitivity of the southeastern portion of the Gulf of Suez shoreline; a very promising area for economic development. Enhancing a methodology for calculating ESI in this work obtains more efficient results for environmental sensitivity assessment. This is accomplished by adding more detailed physical factors that may affect the ESI. The coastline is ranked according to factors controlling coastal resiliency to oil spills. These factors are categorized in three sets of data: 1) physical habitats of the coastline that determine the persistence of oil pollution and ease of cleaning and reclamation such as beach types, degree of exposure to waves, beach slope, wave directions and tidal flats (physical factors); 2) biological resources sensitive to oil (ecosystem factors); and 3) the types of human-use resources (socio-economic factors). Data used to determine these factors were collected from satellite images, field work and documentary information and were manipulated in a GIS environment using a geospatial arithmetic modeling to produce spatial environmental sensitivity maps of coastal shorelines. The studied shoreline of the southwestern Sinai coastal plain of Egypt has a wide range of sensitivity to oil spills ranges from very low to very high. The northern part of the shoreline is characterized by low sensitive beaches where the morphology and beach type play the dominant rule in reducing the sensitivity. It is composed mainly of high slope rocky beaches. The southern part is dominant by sandy tidal flat beaches and coral reefs communities that extend wider and shallower. This makes the southern beaches relatively more environmentally sensitive to oil spills.

show abstract

Section: Methodsmentioning

confidence: 99%

Evaluation of environmental sensitivity of the coastal plains shoreline to oil spills: Southwestern Sinai coastal plain, Egypt

Wahid¹,

Madden²

2017

EESRJ

View full text Add to dashboard Cite

show abstract

“…In many cases, both approaches are used simultaneously, but increasingly remote sensing is the preferred method. Subsequent development of the ESI have included enhancements to incorporate other shoreline habitats and human-use areas (Jensen et al, 1998), improved classification algorithms for imagery (Schiller et al, 2005) and field work to better determine acute levels of harm susceptibility (Scott et al, 2013). NOAA authors an extensive ESI database and provides guidelines for classification type (NOAA, 2017a).…”

Section: Modeling Vulnerabilitymentioning

confidence: 99%

Oil spill modeling

Nelson

Grubesic

2017

Progress in Physical Geography: Earth and Environment

View full text Add to dashboard Cite

Oil spill modeling is fundamental for planning and preparing for, as well as responding to and mitigating, actual spill events. As a result, significant research effort has been directed toward developing analytical approaches for deepening our understanding of spill risk, community vulnerability, oil behavior, spill outcomes, and impacts. The purpose of this paper is to provide a synthesis of the oil spill risk assessment and impact modeling literature, with a focus on the vulnerability of local environmental, ecological, and community systems, as well as the geographic processes associated with modeling spills and transforming these data into a robust and meaningful impact assessments. The results of this progress report reveal a number of methodological and substantive commonalities across the scientific literature. Moreover, the synthesis of this literature should provide researchers with a strong foundation for pursuing future work in this domain.

show abstract

“…Based on comprehensive field surveys [10][11][12] and in close cooperation with the Central Command for Maritime Emergencies, an automated expert model for the German part of "Wadden Sea" areas was developed at the Institute for Coastal Research (Helmholtz-Zentrum Geesthacht, HZG) [13,14]). As an operational model, it will serve as an important instrument for decision making processes, precautionary measures and the further design of oil spill response strategies.…”

Section: The "Wadden Sea": a Sensitive Environmentmentioning

confidence: 99%

The German Operational Monitoring System in the North Sea: Sensors, Methods and Example Data

Baschek¹,

Gade²,

Bernem³

et al. 2015

The Handbook of Environmental Chemistry

View full text Add to dashboard Cite

Operational oil pollution surveillance has been performed in Germany for almost 30 years. Sophisticated state-of-the-art sensors are being used for frequent airborne surveillance, while satellite data are used as prewarning and additional information input on a routine basis. In parallel, basic research on the imaging of marine oil pollution by synthetic aperture radar (SAR) has been performed, and a basic understanding of the imaging of biogenic and anthropogenic marine surface films by active microwave sensors has been developed. In this paper, we provide an overview of the current operational surveillance system, and we give some historical background summarising some of the results of the research conducted during the past decades. Within this chapter, example images from pollution events are given for several sensors. The German coast's spatial and temporal vulnerability to oil pollution is quantified, and the use of dispersants in a highly vulnerable ecosystem such as the "Wadden Sea" is discussed.

show abstract

Automated Classification of an Environmental Sensitivity Index

Cited by 9 publications

References 4 publications

Evaluation of environmental sensitivity of the coastal plains shoreline to oil spills: Southwestern Sinai coastal plain, Egypt

Evaluation of environmental sensitivity of the coastal plains shoreline to oil spills: Southwestern Sinai coastal plain, Egypt

Oil spill modeling

The German Operational Monitoring System in the North Sea: Sensors, Methods and Example Data

Contact Info

Product

Resources

About