Data Information Systems
Resume:
Marc Howell
***** ***** **** ***. ***. 420
North Bethesda, MD 20852
US Mobile: 240-***-****
Email: *******@********.***.***
Title/Role:
GEOSPATIAL INFORMATION SYSTEMS (GIS) ANALYST/SATELLITE IMAGERY ANALYST/DATA ANALYST Education:
Degree
(AA/AS,
BA/BS,
MA/MS/MBA,
PhD, JD)
Area of Study
School/College/University
Location
Was the
degree
Awarded?
(Yes/No)
BS
GIS / Environmental
Science & Policy
University of Maryland
College Park, MD
YES
MS
Geospatial
Information
Sciences
University of Maryland
College Park, MD
NO – IN
PROGRESS,
ANTICIPATED
2019
GISP
Geographic Information
Systems Professional®
(GISP) Certification
GIS Certification Institute
Des Plaines, IL
NO – IN
PROGRESS,
ANTICIPATED
2018
Employment History:
Radiant Solutions (Formerly MDA Information Systems LLC) Data to Insight (D2I)
Geospatial Analyst II May 2017 – Present
Provide dynamic support to various projects for a multitude of stakeholders through geospatial visualization, remote sensing and qualitative/quantitative analysis. Our customers range from government agencies (Defense & Intelligence, Federal & Civil, State & Local) to commercial (Commodity Trading & Hedging, Oil & Gas, Production Agriculture, and Utilities).
Assist with Reined Persistent Change Modeling (RPM), a subsidiary of the Persistent Change Monitoring (PCM) project. PCM uses correlated land change algorithms to create change detection products. RPM is a global dataset from Landsat and Sentinel imagery that indicates areas of temporal change caused by human construction or soil disturbance.
Utilize Erdas Imagine for our global-scale Land Use Land Cover (LULC) product to analyze and process imagery from an array of satellite sensors: Sentinel, Landsat, WorldView, GeoEye, and Rapideye. Manipulate and combine different bandwidths from multispectral imagery to discern the nuances in pixel signatures. Once the pixels are accurately identified, they are then coded to their correct Land Use/Cover classifications. Page 2 of 4
Produce imagery and chart-derived shoreline vector data for our commercial shoreline extraction project. The goal is to extract shoreline along the land/water interface at the debris/high water line through the most resourceful methodology. Debris line is defined as the water side of the landward limit of debris deposits. Constructed a custom toolbox within ESRI’s ArcMap to automate shoreline generation for various sensor types (Landsat, RapidEye, and World View). Through a conflation of models and geoprocesses in Model Builder, simple raster satellite imagery is transformed into contoured shoreline boundaries in vector format. The shoreline extraction tool effectively cuts down on time that would otherwise be wasted on repetitive geoprocessing steps. Played a critical role to NOAA’s Coastal Change Analysis Program (C-CAP) high resolution project in a time sensitive environment. Produced national standardized land cover and land change information for the coastal regions of the state of Washington. Focused heavily on urban, water, and vegetation classes as they serve as important indicators of coastal ecosystems and have been identified as features that can be accurately derived through primarily remote sensing means.
Provided geo-support for the Intermittent Water and Saturated Soils (IWSS Project). Utilized ArcMap/Model Builder to automate and process water seasonality, the months in which waterbodies on average reach desired extents. Also calculated and mapped frequencies of water body subtypes (perennial, intermittent and dry) based on percentages. Supported the Hurricane Harvey Analysis project. Conducted research to assess extent of flooding in and around the Houston Texas areas. Constructed an interactive map of damaged buildings and populated the associated metadata with their current conditions.
Key Technologies/Skills: Erdas Imagine, GeoCue, Imagery Analysis, Remote Sensing, ESRI, ArcGIS, ArcMap, ArcCatalog, Python
+ IDLE, ArcPy (arcpy.mapping, arcpy.3d, arcpy.sa), ENVI+IDL, ModelBuilder, Spatial Analysis (Point Pattern, Line Data, Network, Areal, Surface and 3D), Spatial Modeling and GIS, Systems-Based Modeling, Model Integration, Vector and Raster-Based Modeling, Regression Analysis (Linear and Logistic), Cartography, Program R, Web Mapping Programs- (ArcIMS, ArcGIS Server, Manifold, GeoMedia, MapExtreme, MapGuide), Web GIS- tools (Google Map API, ArcGIS Server, JavaScript API, Flex API, and Silverlight), Cloud Environments (AWS EC2 and ArcGIS Online), Markup Languages (HTML+CSS, XHTML, XML, GML). National Oceanic Atmospheric Administration (NOAA) – Contractor Earth Resources Technology, Inc.
Geospatial Information Systems (GIS) Specialist II Jun 2016 – Jan 2017 Serve in the Office of Coast Survey/Navigation Service Division as the focal point for customer requests on charting issues, short-term (fast response) hydrographic surveys, and Nautical Publications, such as Coast Pilot. Coordinate and represent OCS at constituent events such as harbor safety meetings, cooperative workshops, conferences, and trade shows (i.e. The Annapolis and Miami International Boat Shows). Act as a liaison between navigation managers and nautical cartographers, further insuring that customer IDMS inquiries and chart update submissions are addressed.
Certified Satellite Derived Bathymetry (SDB) Analyst. SDB, a reconnaissance approach, refers to coastal and shallow- water depths processed from multispectral satellite imagery (typically Landsat) using band-ratio calculations. Coupled with GIS processing methodologies, SDB can be employed to map nearshore bathymetry, characterize a coastal area and to monitor seafloor changes that may have occurred since the last hydrographic survey was conducted. The aim is to have the ability to be able to quality control and use SDB data as source data for promoting safer navigational products. In addition to SDB, Topographic Bathymetric LIDAR Digital Elevation Model techniques are being employed for creating shoal biased sounding data sets as an interim application to charts. Key Technologies/Skills: ESRI, ArcGIS, ArcMap, ArcCatalog, Python + IDLE, ArcPy (arcpy.mapping, arcpy.3d, arcpy.sa), ENVI+IDL, ModelBuilder, Spatial Analysis (Point Pattern, Line Data, Network, Areal, Surface and 3D), Spatial Modeling and GIS, Systems-Based Page 3 of 4
Modeling, Model Integration, Vector and Raster-Based Modeling, Regression Analysis (Linear and Logistic), Cartography, Program R, Web Mapping Programs- (ArcIMS, ArcGIS Server, Manifold, GeoMedia, MapExtreme, MapGuide), Web GIS- tools (Google Map API, ArcGIS Server, JavaScript API, Flex API, and Silverlight), Cloud Environments (AWS EC2 and ArcGIS Online), Markup Languages (HTML+CSS, XHTML, XML, GML).
National Oceanic Atmospheric Administration (NOAA) – Contractor Columbus Technologies and Services, Inc.
Programmer Analyst II Dec 2015 – May 2016
Served as the focal point on a 24x7x365 operational basis for real-time imagery products and multi-disciplinary environmental analyses within the National Environmental Satellite, Data, and Information Service (NESDIS). Operated new proof of concept satellite analysis techniques needed to support disaster mitigation and warning services for U.S. Federal agencies and the international community. Prototype environmental analyses are provided to NWS Warning & Forecast Offices, NCEP Centers, and to oceanographic and other environmental users of NESDIS satellite products. Analyze satellite imagery, integrated with ancillary datasets, to create briefings and products that enable its users to mitigate disasters and environmental hazards including tropical storms, heavy precipitation, fires and smoke, airborne volcanic ash and marine pollution (oil spills). Scheduled and distributed real-time satellite imagery products from global Geostationary and polar orbiting satellites for dissemination to environmental customers. A few examples of Geostationary and Polar-Orbiting Weather Satellites, along with data sources, utilized include: Geostationary Operational Environmental Satellites (GOES), GOES-R, AMSU, SSMI, TRMM, MTSAT, MTMETEOSAT / METEOSAT Second Generation (MSG), SSMI BT/RR/TPW, AMSU BT/RR, QuikSCAT winds, AVHRR imagery, planned OMI, AIRS SO2 signatures, MODIS imagery and MODIS Rapid Response Fire Product. Key Technologies/Skills: McIDAS, Tropical Cyclone Analysis, Advanced Dvorak Technique (ADT), Cyclogenesis, Forecasting, ESRI, ArcGIS, ArcMap, ArcCatalog, Python + IDLE, ArcPy (arcpy.mapping, arcpy.3d, arcpy.sa), ENVI+IDL, Linux, Geostationary and Polar Orbiting Satellites
(GOES 13 +15, Himawari 8, Meteosat-7 + 10), Program R, Web Mapping Programs- (ArcIMS, ArcGIS Server, Manifold, GeoMedia, MapExtreme, MapGuide), Web GIS- tools (Google Map API, ArcGIS Server, JavaScript API, Flex API, and Silverlight), Cloud Environments (AWS EC2 and ArcGIS Online), Markup Languages (HTML+CSS, XHTML, XML, GML). National Oceanic Atmospheric Administration (NOAA) – Contractor Earth Resources Technology, Inc.
Geospatial Information Systems (GIS) Specialist March 2014 – Dec 2015 Acquired and maintained the national marine navigational database in order to construct, maintain, and distribute nautical charts and related marine products and services for the marine public, federal and stated resource managers. Exhibited working knowledge of professional cartographic theories, concepts, principles, customer requirements and intended use of products. Demonstrated working ability to produce nautical products within the highest degree of accuracy in compliance with the accepted principles, standards, and procedures of the Office of Coast Survey/Marine Chart Division (MCD) by using appropriate production standards, specifications, tools and databases to enhance NDB workload efficiency. Consistently assisted with writing and following detailed Standard Operating Procedures (SOP). Provided aid in the revising/ updating of our personal Nautical Data Branch (NDB) manual. Possess the ability to identify and analyze problems, test and evaluate solutions, and consider change impact and potential consequences. Utilized the functions and available operations provided by various programs, such as ESRI ArcMap, Bentley Map Enterprise V8i, DREG, etc.
Perpetually built on my knowledge within the realm of various source compilation. Applied topographic and hydrographic data sources in order to update nautical chart products. Served as a Tile Service Tester for KAPPS/Tiles
(or charts) uploaded to the Office of Coast Survey server for the public. Troubleshooted four sample viewers; Google Maps API, ArcGIS for JavaScript, Open Layers, and MapBox JS for defects that might pose issues for programmer extraction of data. Routinely advised/trained incoming interns/federal employees on the premise of source registration and other relative cartographic and GIS management techniques. Personally constructed an internet GIS Page 4 of 4
application via ArcGIS Viewer 3.7 for Flex that allows the user to not only visually see artificial reefs, but further allows the user to explore extensive metadata about them. Such metadata includes products affected (Nautical Charts/associated KAPP numbers, ENC’s, Coast Pilots), Minimum Authorized Clearance Depths, Size/Area, and the shape of the sites.
Key Technologies/Skills: ESRI, ArcGIS, ArcMap, ArcCatalog, Python + IDLE, ArcPy (arcpy.mapping, arcpy.3d, arcpy.sa), ENVI+IDL, Cartography, Vector and Raster-Based Modeling, Program R, Web Mapping Programs- (ArcIMS, ArcGIS Server, Manifold, GeoMedia, MapExtreme, MapGuide), Web GIS- tools (Google Map API, ArcGIS Server, JavaScript API, Flex API, and Silverlight), Cloud Environments (AWS EC2 and ArcGIS Online), Markup Languages (HTML+CSS, XHTML, XML, GML). National Oceanic Atmospheric Administration (NOAA) – Intern Geospatial Information Systems (GIS) Specialist May 2012 – March 2014 Facilitated the updating of historical hydrographic survey meta data in Electronic Navigational Charts (ENCs) for the Office of Coast Survey/Marine Chart Division (MCD). Revamped the CATZOC (Category of Zone of Confidence in Data) project, which aims to encode the outlines of all current hydrographic surveys in a meta data layer of all 950 ENCs that the Marine Chart Division currently produces. Produced simplified/legible meta data layers, through ESRI ArcMap, that further provide information to the mariner about the age and accuracy of the data used to build the current chart. Generated information better serves the mariner in decision making when planning routes and during emergencies.
Completed research/baseline comparison of Artificial Reefs/Aquaculture sites on nautical charts, and vetted permits to identify potential conflicts with other charted information. Such existing conflicts at the permitting stage are: within 2 nautical miles of a safety Fairway, anchorages, entrance channels, missile test areas, pipelines/cables, unexploded ordinances, critical habitats, and other isolated dangers to navigation. Verified latitude and longitude corner points/center points of the site, dimensions of the site, and depths of the site. Created shape files to further analyze, demarcate and compare the various features on nautical charts based on source data through ESRI ArcMap. Communicated directly with the United States Army Corps of Engineers and customers to procure missing/incomplete information for the successful compiling of the permit database. Performed database management, scanned pertinent documentation and saved information to a local server location that is associated with the database entry. Utilized NOAA databases (artificial reef and DREG – Document registry). Researched websites Department of Natural Resources, U.S. Army Corps of Engineers, and state. Learned to use nautical charts (NOAA) and Utilize GIS (ESRI ArcMap) for research purposes to determine if a site is charted, charted correctly or no correction to the chart. Key Technologies/Skills: ESRI, ArcGIS, ArcMap, ArcCatalog, Python + IDLE, ArcPy (arcpy.mapping, arcpy.3d, arcpy.sa), ENVI+IDL, Program R, Web Mapping Programs- (ArcIMS, ArcGIS Server, Manifold, GeoMedia, MapExtreme, MapGuide), Web GIS- tools
(Google Map API, ArcGIS Server, JavaScript API, Flex API, and Silverlight), Cloud Environments (AWS EC2 and ArcGIS Online), Markup Languages (HTML+CSS, XHTML, XML, GML).
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