Emerging Research
The Emerging Research category encompasses cutting-edge research and technologies that GRI scientists are developing in real-time, and spans many current topics that are facing our environment at present.

Aquatic Plant Management Methods in the United States
There is a long history when it comes to the removal of invasive aquatic plants. A main goal of aquatic plant management is to remove non-indigenous plants and restore a diverse community of desirable native plant species. This research studies their removal by different methods such as mechanical, chemical, biological and physical control.
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Coastal Ocean Color Trade Study
GRI scientists have created a system of unique data sets to enable a better understanding of environmental processes that occur in coastal environments. Coastal and inland waters and their environments were targeted for the initial mission due to their importance to various aspects of human activity and the inability of current systems to accurately sense these unique environments. This mission works in support of the planned GEO-CAPE satellite mission that monitors these environments and is critical for evaluating and understanding the spatial variations and dynamics associated with coastal environments.
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Developing, Deploying, and Strategically Evolving the NASA Earth Science Research Knowledge Database, Enterprise Architecture, and Future Solutions Network
NASA's Applied Sciences Program tasked GRI to develop information technology which facilitates searches for potential applications of NASA assets. This technology can help generate ideas for new ways to use NASA missions, research, and/or models in conjunction with operational decision-making processes to achieve a particular benefit to society. The resulting system is called the Earth Science Knowledge Base (ESKB).
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Development of a Northern Gulf of Mexico Operational Forecast System
The NOAA National Ocean Service's Physical Oceanographic Real-Time Systems (PORTS) along the northern coast of the Gulf of Mexico will provide real-time oceanographic data to promote safe and efficient navigation. The Northern Gulf Institute, through Mississippi State University, will manage and coordinate this Operational Forecast System (OFS) University of Massachusetts-Dartmouth project activity in the development of a model to support the PORTS. A global or basin-scale model will provide boundary conditions to a proposed northern Gulf of Mexico Shelf domain model.
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Disruptions to Rail-Impacts Analysis and Decision Support (DRIADS)
This research seeks to explore the positive effects of combining Homeland Security issues with regional transportation infrastructure decision-making and economic development potential within the State of Mississippi and southeast region. This combined approach provides a geographically specific, but highly transferable demonstration of a solution relevant to the Department of Homeland Security (DHS) which integrates currently disparate geospatial and transportation analysis and modeling systems with policy and decision-making.This new generation of modeling capabilities can significantly improve regional transportation system resiliency.
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Enhanced Soils Mapping For Productive Capacity Assessments
This research uses geospatial technologies to create methodology used in defining soil management zones that address soil variability in distinct areas and identify the soil properties that limit crop production while increasing soil conservation. Determining appropriate soil management zones can lead to an increased profit by either increasing yield in areas of fields that are being underutilized or decreasing fertilization in areas of fields where maximum economic yield has already been attained. Moreover, robust and repeatable methodology for construction of management zones will provide an empirical basis for developing variable rate fertilizer prescriptions that optimize profitability and minimize off-site nutrient transport, thereby benefiting the producer, the public, and the environment.
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Forecasting Episodic Changes in Hurricane Intensity and Structure over the Gulf of Mexico
The primary goal of this proposed initial one-year project is to provide greater insight into forecasting time-sensitive trends of rapid formation, changing intensity, and changing wind field area (or size) of hurricanes over the Gulf Mexico in the interest of reducing the uncertainty in the risk posed to Gulf Coast residents and infrastructure. The focus would be to identify key features or processes present in the ambient atmosphere and in the Gulf of Mexico that led to critical episodic changes in the intensity and structure of recent hurricanes: Humberto, Gustav, and Ike.
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GIS for Aquatic Plant Management
Geographic Information Systems (GIS) have become the new tool for information management, planning and presentation for invasive aquatic plant management programs and is critical in every component of the program.
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Health and Productivity of Louisiana Salt Marshes
This study will allow the identification of hotspots of marsh degradation in Louisiana by evaluating marsh biophysical characteristics including distribution of chlorophyll content, green leaf area and green marsh canopy cover. This assessment of marsh health and productivity is due to the Deepwater Horizon oil spill. NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) satellite images will be used to retrieve and map these characteristics across the coastal Louisiana salt marshes before and after the spill. The maps and tools produced from the study will be helpful to coastal managers across Louisiana as they evaluate and prioritize the marsh restoration effort which will take place due to the oil spill. Tangible map products will be generated for the first time that can quantitatively assess the effect of the restoration activities and speed of marsh ecosystem recovery.
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Integrated Pest Management Systems and Resistance Management Using Geospatial Technologies
This research has evaluated the use of remote sensing technologies to detect and predict spatial distribution of weed populations for the purpose of designing site-specific herbicide prescriptions and monitoring the spread of herbicide resistant weed species. Associated spatial technologies have been used to generate guidelines for creation of site-specific harvest-aid, plant growth regulator, and insecticide prescriptions. A unique contribution of this research has been the development of novel statistical models that more fully characterize geographic, topographic, hydrological, edaphic, and producer-induced sources of variation in yield than previously understood. The research also highlights the immense complexity of spatial data collection, management, geoprocessing, and integration for decision support in site-specific agriculture. Outcomes of this study may increase efficiency and profitability, reduce the threat of off-target movement of residual herbicides in runoff to surface and groundwater, and reduce herbicide usage through precision applications.
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Levee Evaluation through Remote Sensing
GRI researchers are developing a means to use remote sensing to determine the strength of river levees through the utilization of airborne synthetic aperture radar for levee condition assessment and develop classification software. The team has set out to develop new methods and software to improve knowledge of levee conditions and help levee managers prioritize their efforts to inspect, test and repair levees.
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New Data Compression Process
GRI is investigating the use of a new type of dimensionality reduction and data compression for principal component analysis. GRI researchers have developed a process to shift the computational burden to a base-station decoder. This process is called compressive-projection PCA or CPPCA. CPPCA dramatically departs from traditional PCA because it allows its dimensionality-reduction and compression performance to be realized with a system that puts computational burden on the decoder. Continued development of the process could help the conservation, protection, utilization and enhancement of natural resources in the rural South.
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Spatial Detection of Agri-terrorism
This GRI project develops and deploys an automated target recognition system that utilizes hyperspectral imagery to detect biological or chemical contamination of vegetation. The Automated Target Recognition - ATR - system is applied to the problem of BioSecurity, i.e. the detection of crop contamination via biological or chemical agents.
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Tools for Enhanced Mapping and Managing Post-Disaster Debris
The overall objective of this research effort is to enhance recovery from and resilience to large scale disasters by providing Mississippi state agency personnel, as well as Mississippi local governments with tools to enhance their ability to manage disaster related debris. The research in this proposal will be carried out in four general thrust areas: 1) Use of Remote Sensing Data to Enhance Effectiveness of Debris Management, 2) Evaluation of an Alternative Treatment Technology for Selected Waste Streams, 3) Development of a Preliminary Debris Disposal Cost Projection Model and 4) Filling in Technical Data Gaps for Debris Management.
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Toward an Understanding of Gulf Coast Resident Preferences on Risk and Restoration
The results of this work will provide useful insights into whether seemingly anomalous coastal risk taking behavior can be explained by more robust behavioral models. Policy makers and scientists concerned with coastal management will obtain clarification of whether coastal resident behavior is driven by a lack of information, misguided perceptions, or simply personal preferences. Additionally, this work will allow for identification of perceived benefits from restoration and how individuals prioritize them. Finally, it may allow for identification of incentives that can be used to induce socially-optimal behavior.
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Weather Research and Forecasting Modeling System
This research includes assimilation of NEXRAD radial winds in a regional mesoscale model and the use of Lagrangian models to estimate the transport and dispersion of gasses/particles over the Southeastern United States. It is our plan to provide daily plume (smoke) forecast information, as well as atmospheric wind and other conditions over the Gulf coast. Therefore, the information can be used to assess how the smoke due to burning oil over the Gulf of Mexico propagates in time.
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WISDOM - Weather In-Situ Deployment Optimization Method
GRI scientists and students are participating in WISDOM, the Weather In-Situ Deployment Optimization Method research program that seeks to improve hurricane forecasting time by three to seven days before a storm's landfall by providing wind and atmospheric data in areas of the Atlantic basin that are poorly observed. The WISDOM program launches small super-pressure balloons with payloads that include GPS and satellite radio communications capabilities.
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Modified: September 21, 2011  •  WebMaster  •  Intranet