Role of a Cyclonic Eddy in the 7000-Year-Old Mentawai Coral Reef Death During the 1997 Indian Ocean Dipole Event

Rahul, P. R. C.; Salvekar, P. S.; Sahu, Bijaya Kumar; Nayak, Shailesh; Kumar, Thumma

doi:10.1109/lgrs.2009.2033950

Cited by 5 publications

(2 citation statements)

References 43 publications

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“…In this case, the growth of phytoplankton must be counteracted. For example, coral reefs were destroyed over seven thousand years due to the high growth of phytoplankton, enhanced by an eddy [26]. Eddy changes are urgently needed to be discovered because phytoplankton populations impose damage to the ecosystem and make changes in water flows, which transmit pollution and sea anomalies damaging the maritime tourism industry.…”

Section: Case Descriptionmentioning

confidence: 99%

A Statistical Method for Sequential Images–based Process Monitoring

Fattahzadeh

Saghaei

2020

IJE

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Today, with the growth of technology, monitoring processes by the use of video and satellite sensors have been more expanded, due to their rich and valuable information. Recently, some researchers have used sequential images for defect detection because a single image is not sufficient for process monitoring. In this paper, by adding the time dimension to the image-based process monitoring problem, we detect process changes (such as the changes in the size, location, speed, color, etc.). The temporal correlation between the images and the high dimensionality of the data make this a complex problem. To address this, using the sequential images, a statistical approach with RIDGE regression and a Q control chart is proposed to monitor the process. This method can be applied to color and gray images. To validate the proposed method, it was applied to a real case study and was compared to the best methods in literature. The obtained results showed that it was more effective in finding the changes.

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Section: Case Descriptionmentioning

confidence: 99%

A Statistical Method for Sequential Images–based Process Monitoring

Fattahzadeh

Saghaei

2020

IJE

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“…Additionally, eddies might interact with other large systems. For instance, one study found that a 7000-year-old coral reef was asphyxiated due to massive phytoplankton blooms, that were linked to a large eddy (Rahul et al 2010). Similarly, some of the recent devastating hurricanes, including Hurricane Katrina, gained intensity in the Gulf of Mexico when passing over a warm-core eddy (Jaimes and Shay 2009).…”

Section: Why Ocean Eddies Mattermentioning

confidence: 99%

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field

Faghmous

Nguyen

et al. 2014

AAAI

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Mesoscale ocean eddies are a critical component of the Earth System as they dominate the ocean's kinetic energy and impact the global distribution of oceanic heat, salinity, momentum, and nutrients. Therefore, accurately representing these dynamic features is critical for our planet's sustainability. The majority of methods that identify eddies from satellite observations analyze the data in a frame-by-frame basis despite the fact that eddies are dynamic objects that propagate across space and time. We introduce the notion of spatio-temporal consistency to identify eddies in a continuous spatio-temporal field, to simultaneously ensure that the features detected are both spatially and temporally consistent. Our spatio-temporal consistency approach allows us to remove most of the expert criteria used in traditional methods to reduce false negatives. The removal of arbitrary heuristics enables us to render more complete eddy dynamics by identifying smaller and longer lived eddies compared to existing methods.

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Coastal zone management in India − present status and future needs

Nayak¹

2017

Geo-spatial Information Science

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The coastal zone is a region where land, ocean and atmosphere interact and hence it is dynamic in nature. India has a long coastline which was not adequately monitored until the advent of the satellite remote sensing era in the 70s. India has a very robust remote sensing program that the Indian Remote Sensing Satellite (IRS) series of satellites were effectively used to monitor coastal habitats, landforms, shoreline, water quality, etc., and changes were identified during the last 40 years. The classification system for coastal habitats and the classification and geometric accuracies of products were standardized. Detailed information for mangroves communities and characteristics of coral reefs were generated. The high and low tide lines were delineated seamlessly for the entire coastline using satellite data. All these data were organized in a GIS and the coastal database for the entire country was created. Impacts of various hazards on such as cyclones, tsunami and sea level changes on coastal habitats were documented. Based on topography, shoreline changes and tides, coastal multi-hazard vulnerability maps were characterized by employing the elevation data derived from satellite data and were prepared for the coastline of India. The information on ocean color and sea surface temperature was used to generate potential fishery advisories, which are provided daily to fishermen. The coastal database was utilized effectively to identify coastal regulation zones, marine protected areas, vulnerable zones, etc. Various services for tsunami, fishery and coral reef bleaching were generated for societal benefits. It is planned to develop models for the coastal zone, so that impeding dangers and likely changes in the coastal zone can be predicted and suitable actions can be undertaken. It is necessary to integrate socioeconomic data with the knowledge database of coastal zone to understand the impact of anthropogenic activities and the changing climate on the coastal zone.

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Role of a Cyclonic Eddy in the 7000-Year-Old Mentawai Coral Reef Death During the 1997 Indian Ocean Dipole Event

Cited by 5 publications

References 43 publications

A Statistical Method for Sequential Images–based Process Monitoring

A Statistical Method for Sequential Images–based Process Monitoring

Spatio-Temporal Consistency as a Means to Identify Unlabeled Objects in a Continuous Data Field

Coastal zone management in India − present status and future needs

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