EcoGIS – GIS tools for ecosystem approaches to fisheries management

Executive Summary: The EcoGIS project was launched in September 2004 to investigate how Geographic Information Systems (GIS), marine data, and custom analysis tools can better enable fisheries scientists and managers to adopt Ecosystem Approaches to Fisheries Management (EAFM). EcoGIS is a collaborative effort between NOAA’s National Ocean Service (NOS) and National Marine Fisheries Service (NMFS), and four regional Fishery Management Councils. The project has focused on four priority areas: Fishing Catch and Effort Analysis, Area Characterization, Bycatch Analysis, and Habitat Interactions. Of these four functional areas, the project team first focused on developing a working prototype for catch and effort analysis: the Fishery Mapper Tool. This ArcGIS extension creates time-and-area summarized maps of fishing catch and effort from logbook, observer, or fishery-independent survey data sets. Source data may come from Oracle, Microsoft Access, or other file formats. Feedback from beta-testers of the Fishery Mapper was used to debug the prototype, enhance performance, and add features. This report describes the four priority functional areas, the development of the Fishery Mapper tool, and several themes that emerged through the parallel evolution of the EcoGIS project, the concept and implementation of the broader field of Ecosystem Approaches to Management (EAM), data management practices, and other EAM toolsets. In addition, a set of six succinct recommendations are proposed on page 29. One major conclusion from this work is that there is no single “super-tool” to enable Ecosystem Approaches to Management; as such, tools should be developed for specific purposes with attention given to interoperability and automation. Future work should be coordinated with other GIS development projects in order to provide “value added” and minimize duplication of efforts. In addition to custom tools, the development of cross-cutting Regional Ecosystem Spatial Databases will enable access to quality data to support the analyses required by EAM. GIS tools will be useful in developing Integrated Ecosystem Assessments (IEAs) and providing pre- and post-processing capabilities for spatially-explicit ecosystem models. Continued funding will enable the EcoGIS project to develop GIS tools that are immediately applicable to today’s needs. These tools will enable simplified and efficient data query, the ability to visualize data over time, and ways to synthesize multidimensional data from diverse sources. These capabilities will provide new information for analyzing issues from an ecosystem perspective, which will ultimately result in better understanding of fisheries and better support for decision-making. (PDF file contains 45 pages.

Geodatabase Development to Support Hyperspectral Imagery Exploitation

Geodatabase development for coastal studies conducted by the Naval Research Laboratory (NRL) is essential to support the exploitation of hyperspectral imagery (HSI). NRL has found that the remote sensing and mapping science community benefits from coastal classifications that group coastal types based on similar features. Selected features in project geodatabases relate to significant biological and physical forces that shape the coast. The project geodatabases help researchers understand factors that are necessary for imagery post processing, especially those features having a high degree of temporal and spatial variability. NRL project geodatabases include a hierarchy of environmental factors that extend from shallow water bottom types and beach composition to inland soil and vegetation characteristics. These geodatabases developed by NRL allow researchers to compare features among coast types. The project geodatabases may also be used to enhance littoral data archives that are sparse. This paper highlights geodatabase development for recent remote sensing experiments in barrier island, coral, and mangrove coast types

Geodesign in Pampulha cultural and heritage urban area: Visualization tools to orchestrate urban growth and dynamic transformations

This paper discusses the role of visualization in Geodesign methodology consideringits applications in the case study of the region of Pampulha in Belo Horizonte,Minas Gerais, Brazil. In order to consider the opinion of the participants, their effortswere recorded in different steps of the process, at different stages of Geodesign iterations,and different possibilities of visualization were tested. The methodology of Geodesignwas applied in different applications and with different tools. The goal was to determinewhether different techniques and tools used in the process of Geodesign contributed toimproved understanding of data and problem context, and to derive guidelines for improvedGeodesign techniques and tools

Towards the optimal Pixel size of dem for automatic mapping of landslide areas

Determining appropriate spatial resolution of digital elevation model (DEM) is a key step for effective landslide analysis based on remote sensing data. Several studies demonstrated that choosing the finest DEM resolution is not always the best solution. Various DEM resolutions can be applicable for diverse landslide applications. Thus, this study aims to assess the influence of special resolution on automatic landslide mapping. Pixel-based approach using parametric and non-parametric classification methods, namely feed forward neural network (FFNN) and maximum likelihood classification (ML), were applied in this study. Additionally, this allowed to determine the impact of used classification method for selection of DEM resolution. Landslide affected areas were mapped based on four DEMs generated at 1m, 2m, 5m and 10m spatial resolution from airborne laser scanning (ALS) data. The performance of the landslide mapping was then evaluated by applying landslide inventory map and computation of confusion matrix. The results of this study suggests that the finest scale of DEM is not always the best fit, however working at 1m DEM resolution on micro-topography scale, can show different results. The best performance was found at 5m DEM-resolution for FFNN and 1m DEM resolution for results. The best performance was found to be using 5m DEM-resolution for FFNN and 1m DEM resolution for ML classification

Adaptive Response Modeling Using GIS, Blog 1

Student blog posts from the Great VCU Bike Race Book

The use of geographical applications for micro-planning school locations : the @SCHOOL app for preschools in Ghent, Belgium

Parallel with the increased use of internet technology, more and more data becomes freely accessible\ However, most of this data is only available in its raw form and centrally managed and thus not legible or applicable for non-professionals. Especially for primary needs such as health care or education, the availability of relevant information for inhabitants is crucial in improving their quality of life. Because education is one of the focal points in regional as well as in local policy, a dataset containing detailed information about school locations and characteristics was compiled on the regional level Flanders. However, this data is centrally owned and not made accessible for the public by a user-friendly tool. Therefore, a geographical application was developed, aimed at improving inhabitants' access to information concerning preschool locations in Ghent (Belgium). The combination of two open source programs (Google Docs and ESRI ArcGIS Online) makes it possible to centrally update the tool and make it available for all internet users in real-time. In the first phase, local authorities as well as civilians are able to request all relevant information (i.e. school name, school address, capacity, Google street view) about the selected nursery school in Ghent by implementing this user-friendly and open source tool. Furthermore, the tool can be used to determine which preschool is closest to a specific address. In the next phase, the dataset used in the application will be extended to contain information concerning all primary schools of the Flemish community. Today, the application is used by different local authorities as a tool for policy support and is available to inhabitants in Ghent in the process of enrolment ('Central Application Register' or CAR). The convenient and intuitive interface makes the tool inclusive for poorly-educated parents or internet illiterates

Integration of QUAL2Kw and ArcGIS for Silver Bow Creek, Montana

The purpose of this project is to take preliminary steps towards the development of a QUAL2Kw model for Silver Bow Creek, MT. These preliminary steps include initial research and familiarization with QUAL2Kw, use of ArcGIS to fill in geospatial data gaps, and integration of QUAL2Kw and ArcGIS. The integration involves improvement of the QUAL2Kw model output through adding functionality to the model itself, and development of a QUAL2Kw specific tool in ArcGIS. These improvements are designed to help expedite and simplify the viewing of QUAL2Kw output data spatially in ArcGIS as opposed to graphically within QUAL2Kw. These improvements will allow users to quickly and easily view the many output parameters of each model run geographically within ArcGIS. This will make locating potential problem areas or “hot spots” much quicker and easier than interpreting the QUAL2Kw output data from a graph alone. The added functionality of QUAL2KW was achieved through the development of an excel Macro, and the tool in ArcGIS was developed using python scripting and the model builder feature in ArcGIS

Transferring Google Earth observations to GIS-software : example from gully erosion study

High-resolution images available on Google Earth are increasingly being consulted in geographic studies. However, most studies limit themselves to visualizations or on-screen measurements. Google Earth allows users to create points, lines, and polygons on-screen, which can be saved as Keyhole Markup Language (KML) files. Here, the use of R statistics freeware is proposed to easily convert these files to the shapefile format [or .shp file format'], which can be loaded into Geographic Information System (GIS) software (ESRI ArcGIS 9 in our example). The geospatial data integration in GIS strongly increases the analysis possibilities

Enumerating Atlantic salmon smolt production in River Vindelälven based on habitat availability and parr densities : consequences of using different density estimation methods

Habitat mapping was conducted in the main stem of River Vindelälven in the autumn of 2009 along the salmon distribution area. The aim was to estimate the quantity of potential reproduction areas, including spawning and juvenile rearing habitats. The mapping included 61 km of various stream sections along the river length of 269 km. The total area of stream habitats was estimated to 647 ha of which 396 ha (61%) were considered as either potential or optimal juvenile nursery habitats. The area of these two habitat classes were used to estimate the smolt production in the river by using electro fishing densities of juveniles (0+ per 100 m2). Data from the years 2001-2005 was used in four methods to estimate smolt production for the years 2005-2006. Method 1 was based on average 0+ density multiplied with the area of juvenile habitats. Method 2 was based on reach specific 0+ densities multiplied with reach specific juvenile areas. Method 3 was based on reach specific 0+ densities adjusted for flow conditions multiplied with specific juvenile areas and Method 4 was based on Method 1 using various hypothetical juvenile densities. All methods estimated the total no of 0+ salmons on the available habitats and these were used in an age structured Leslie matrix model to estimate the smolt production. Method 1 differed significant from both Method 2 and Method 3 however; there was no significant difference between Method 2 and Method 3. The smolt production was estimated to c. 30 000-60 000 where Method 1 estimated the highest smolt run. By using ArcGIS analyses of field based habitat mapping results (c. 600 ha) Method 1 estimated c. 91 000-94 000 smolt.En biotopkartering av Vindelälvens huvudsakliga utbredningsområde för lax utfördes under hösten 2009. Syftet var att bestämma kvalitet och arealer på uppväxtområden för juvenila lax. Resultaten visade att Vindelälven har ca 61 km varierande strömsektioner (total längd ca 269 km). Den totala arealen av strömhabitat estimerades till 647 ha av vilka 396 ha gavs antingen goda, men inte optimala samt optimala uppväxtområden för lax. Dessa två klasser användes för att kunna estimera smoltproduktionen i älven. Elfisketätheter för 0+ lax (0+ per 100 m2) åren 2001-2005 användes i fyra olika metoder för att estimera smoltproduktionen 2005-2006. Metod 1 baserades på älvens medeltätheter av 0+ multiplicerat med arean av uppväxtområden. Metod 2 baserades på viktade tätheter av 0+ multiplicerat med platsspecifika arealer av uppväxtområden. Metod 3 baserades på viktade tätheter av 0+ korrelerat mot flödesvariationer multiplicerat med platsspecifika arealer av uppväxtområden och Metod 4 baserades på hypotetiska tätheter av 0+ med samma tillvägagångssätt som i Metod 1. Samtliga metoder användes för att estimera totala antalet 0+ lax på uppväxtområdena och dessa data användes i en åldersspecifik Leslie matrix modell för att skatta smoltproduktionen. Metod 1 skiljde sig signifikant mot både Metod 2 och Metod 3 men det var ingen signifikant skillnad mellan Metod 2 och Metod 3. Smoltproduktionen estimerades till ca 30.000-60.000 där Metod 1 skattade flest smolt. Vid skattningar med ArcGIS med grund från fältkarteringen (ca 600 ha) i kombination med Metod 1 estimerades smoltproduktionen till ca 91 000-94 000 smolt