More

Lake Victoria bathymetric data

Lake Victoria bathymetric data


I am trying to find bathymetry for Lake Victoria (or portions thereof).

Any GIS format and almost any resolution will do.

As a last resort a hydrographic chart will suffice.


Ok I made my own from 10,000 data points. This is the link if interested. bit.ly/LV_Bathy. It only took me two years to get it together after asking the question.


Map Types

Bathymetric Maps

Topographic maps of the sea floor. Detailed depth contours provide the size, shape and distribution of underwater features. The map serves as a tool for performing scientific, engineering, marine geophysical and environmental studies, that are required in the development of energy and marine resources.

Topo/Bathy Maps

Detailed multipurpose maps of NOS bathymetry and US Geological Survey (USGS) land topography. Maps support the Coastal Zone Management and Energy Impact Programs and the offshore oil and gas program. They may also be used by land-use planners, conservationists, oceanographers, marine geologists, and those interested in the coastal zone and the Outer Continental Shelf's (OCS) physical environment. All 1:250,000 and 1:1000,000 maps are overprinted with the Minerals Management Service's OCS Protraction Diagram data.

Bathy Fishing Maps

Topographic maps of the sea floor, produced at a 1:100,000 scale that contain Loran-C rates, bottom sediment types and known bottom obstructions. This product is intended to aid fishermen and those needing seafloor features and potential fishing grounds.

Geophysical Maps

Each consist of three sheets (a base bathymetric map, a magnetic map, and a gravity map), and where practicable a sediment overprint (NOS 1308N-17S). The bathymetric map, when combined with the other three maps, serves as a base for making geological-geophysical studies of the oceans bottom's crustal geophysical data for the Continental Shelf and slope. The SEAMAP SERIES at a scale of 1:1,000,000, covers geophysical data gathered in the deep-sea area, sometimes including the adjacent Continental Shelf and Slope.

Preliminary Maps

Bathymetric maps that have been compiled, but are not published. NOAA provides blackline copies of compilation manuscripts for bathymetric maps that were left in the production process but are sufficiently developed to include accurate bathymetric data. There are no plans to have these maps published.


Baban, S. M. J., 1993a. Landsat imagery and the detection of water quality parameters in Norfolk Broads, U.K. Int. J. Remote Sensing 14: 1247–1267.

Baban, S. M. J., 1993b. The evaluation of different algorithms for bathymetric charting of lakes using Landsat imagery. Int. J. Remote Sensing 14: 2263–2273.

Baban, S. M. J., 1993c. Detecting and evaluating the influence of water depth, volume and attitude on the variations in the surface temperature of lakes using Landsat Imagery. Int. J. Remote Sensing 15: 2747–2758.

Baban, S. M. J., 1994. Mapping turbidity, surface temperature and water circulation patterns with the aid of satellite imagery. J. Ins. Wat. Environ. Manage. 8: 197–204.

Baban, S. M. J., 1996. An application of Landsat imagery to the trophic classification for lakes. Hydrol. Sci. J. 41: 939–957.

Baban, S. M. J., 1998. Adopting a holistic view to improve student learning of Geographic Information Systems. Geography 83: 257–265.

Barrett, E. C. & L. F. Curtis, 1992. Introduction to Environmental Remote Sensing, 3rd edn. Chapman & Hall, London: 426 pp.

Bhaskar, N. R., W. James & R K. Devulapalli, 1992. Hydrologic parameter estimation using Geographic Information Systems. J. Wat. Resources Plan. Manage. ASCE 118: 492–513.

Broads Authority, 1997. Broads Plan. Broads Authority, Norwich: 176 pp.

Burrough, P. A., 1986. Principles of Geographical Information Systems for Land Resources Assessment. Oxford University Press, Oxford: 194 pp.

Carlson, R. E., 1977. A trophic state index for lakes. Limnol. Oceanog. 22: 361–369.

Clarke, G. L., G. C. Ewing & C. J. Lorenzen, 1970. Computer derived coastal waters classification via spectral signatures. Proc. Int. Symp. Remote Sensing Environ. 9: 1213–1239.

Cooke, G. D., E. B. Welch, A. P. Peterson & P. R. Newroth, 1993. Restoration and Management of Lakes and Reservoirs., 2nd edn. Lewis Publications, USA: 548 pp.

Curran, P. L. 1985. Principles of Remote Sensing. Longman, London.

De Mers, M. N., 1997. Fundamentals of Geographic Information Systems. Wiley, New York, U.S.A. 486 pp.

Fee, E J. 1979. A relationship between lake morphometry and primary productivity and its use in interpreting whole-lake eutrophication experiments. Limnol. Oceanogr. 24: 401–416.

Gulati, R. D., E. H. R. R. Lammens, M.-L. Meijer & E. van Donk (eds), 1990. Biomanipulation – Tool forWater Management. Developments in Hydrobiology 61. Kluwer Academic Publishers, Dordrecht, 628 pp. Reprinted from Hydrobiologia 200/201.

Groves, J. R., R. M. Ragan & R. B. Clapp, 1983. Development and testing of a remote sensing based hydrological model. In Hydrological Applications of Remote Sensing and Remote Data Transmission, Proceedings of the Hamburg Symposium, IAHS Publications 145: 601–612

Hathout, S., 1985. The use of enhanced Landsat imagery for mapping lake depth. J. Environ. Manag. 20: 253–261.

Hutchinson, E., 1957. Treatise on Limnology, Volume 1. Wiley, New York.

Lillesand, T M., & R W. Kiefer, 1994. Remote Sensing and Image Interpretation, 3rd edn. John Wiley & Sons, New York, U.S.A.: 750 pp.

Martin, D., 1991. Geographic Information Systems and their Socioeconomic Applications. Routledge, London: 182 pp.

Mason, C. F. & R J. Bryant, 1979. Changes in the ecology of the Norfolk Broads. Freshwat. Biol. 5: 257–270.

Moss, B. & M. Timms, 1982. Studies on Hoveton Great Broad and the limnology of the associated waterway. Final report to the Nature Conservancy Council, HF 3/03/133, Peterborough, U.K.

Moss, B., F. J. Madgwick & G. L. Phillips, 1996. A Guide to the Restoration of Nutrient-enriched Shallow Lakes. Broads Authority, Norwich, U.K, 180 pp.

Pattie, N., 1993. Farmwatch UK. GIS Europe, November 22–24.

Pearce, E. D. & C. G. Smith, 1984. The World Water Guide. Hutchinson & Co. Ltd., London: 480 pp.

Penning-Rowsell, K. R., 1996. Creation and Testing of a Model to Predict Phosphorous Loads in Streams Flowing into Bassenthwaite Lake. Unpublished MSc Thesis, Dept. of Geography, University of Edinburgh, U.K.

Ragan, R. M. & J. D. Fellows, 1980. Computer-aided watershed analysis using remote sensing-based regional information systems. In V. V. Salomonson & P. D. Bhavsar (eds), The Contribution of Space Observations to Water Resources Management. COSPAR, Advances in Space Exploration 9. Pergammon Press, U.K.: 280 pp.

Sharma, S. K. & D. Anjaneyulu, 1993. Application of remote sensing and GIS in water resource management. Int. J. Remote Sensing 14 17: 3209–3220.

Stuart N. & C. Stocks, 1993. Hydrological modelling within GIS: an integrated approach. Proceedings of the Vienna Conference in Hydrology GIS 93: Applications of GIS in Hydrology and Water Resources, IAHS: 319–320.

Smith, A. Y. & J. D. Addington, 1978. Water quality monitoring of lake Mead: a practical look at the problems encountered in the applications of remotely sensed data to analysis of temporal change, 5th Canadian Symposium on Remote Sensing, Victoria B.C., Canada.

Smith, A. Y. & R. J. Blackwell, 1980. Development of an information data base for watershed monitoring. Photogrammetric Eng. Remote Sensing 46: 154–165.

Smith, S E., K H. Mancy, K. H. Latif & E. A. Fosnight, 1983. Assessment and monitoring of sedimentation in Aswan High Dam using Landsat data. In Hydrological Applications of Remote Sensing and Remote Data Transmission, Proceedings of the Hamburg Symposium, IAHS Publ. 145: 499–508.

Smith, R H., S N. Sahoo & L W. Moore, 1992. A GIS-based synthetic watershed sediment routing model. In Proceedings of the Water Resources Planning and Management Conference, ASCE, Baltimore, 2–6 August: 200–207.

U.S. Environmental Protection Agency, 1990. National Water Quality Inventory. 1988 Report to Congress, EPA 440/4-90-003.

Van Blargan, J. E. & R. M. Ragan, 1991. Automated estimation of hydrologic parameters. In Proceedings of the ASCE National Conference Civil Engineering Applications of Remote Sensing & Geographic Information Systems Washington, DC, 14–16 May: 278–285.

Vieux, D. E., V. F. Bralts & L. J. Segerlind, 1988. Finite element analysis of hydrologic response areas using Geographic Information Systems. In Proceedings of the ASCE International Symposium Chicago, IL: 437–447.


Bathymetry and the Floor of Crater Lake

Clarence Dutton of the USGS led the first expedition to determine the depth of Crater Lake in 1886. With a lead weight and piano wire, Dutton’s party made 168 soundings from a rowboat to determine the lake's depth. The National Park Service made additional soundings of this type between 1938 and 1940.

1959, the US Coast and Geodetic Survey obtained more than 4,000 echo soundings using sonar. Contours of these data revealed the principal features on the floor of Crater Lake – the central platform, Merriam Cone, a small lavadome on the east side of Wizard Island, and the Chaski Bay landslide – for the first time. About the same time, Crater Lake ranger-naturalist C. Hans Nelson collected dredge samples that showed a variety of post–7,700–year eruptive activity. In 1979, Nelson returned to the lake as a USGS marine geologist and used acoustic imaging techniques (like a CAT scan) of the lake floor to discover that as much as 75 m (250 ft) of sediment had accumulated since caldera collapse. The USGS also measured heat flow in the lake floor and discovered areas of very high heat flow that could only be explained by escape of thermal water into the lake.

Interest in exploration for geothermal resources adjacent to the park and concern over potential impacts on the lake led to exploration of the lake floor with a remotely operated vehicle in 1987 then with a manned submersible in 1988 and 1989. This work was conducted by scientists from Oregon State University in cooperation with the National Park Service and the USGS. This survey documented emission of thermal fluids from the lake floor, discovered fossil hot spring deposits, and returned samples of fluids from the deep lake and rocks from post–caldera volcanoes and the caldera walls.

In the summer of 2000 scientists from the USGS, the National Park Service, the University of New Hampshire, and C & C Technologies surveyed the lake floor with modern techniques to provide a bathymetric (depth) map for interpreting the postcaldera geologic history. The information gained from that survey provided a new maximum depth for Crater Lake (594 m, 1,949 ft) and resulted in a detailed map of features on the lake floor. By combining the new bathymetric data with past decades of other research, scientists now have the clearest picture yet of events that happened since the massive eruption 7,700 years ago that destroyed Mount Mazama and created Crater Lake.


Bathymetric Surveys

Bathymetric surveys allow us to measure the depth of a water body as well as map the underwater features of a water body. Multiple methods can be used for bathymetric surveys including multi-beam and single-beam surveys, ADCPs, sub-bottom profilers, and the Ecomapper Autonomous Underwater Vehicle. We use bathymetric surveys for many different types of research including flood inundation, contour of streams and reservoirs, leakage, scour and stabilization, water-quality studies, dam removal, biological and spill, and storage and fill in reservoirs and ponds.

Bathymetric surveys allow us to measure the depth of a water body as well as map the underwater features of a water body.

Multiple methods can be used for bathymetric surveys:

  • Multi-beam surveying: A multibeam echo sounder attached to a boat sends out a wide array of beams across a "swath" of the waterbody floor. As the beams are bounced back from the waterbody floor, the data is collected and processed. The processed data can be viewed in real time on the boat during the survey. Multi-beam surveying is generally done in larger water bodies.
  • Single-beam surveying: Rather than sending out a wide set of beams, single-beam bathymetry measures the water depth directly under the boat. Single-beam surveys are generally used for smaller water bodies.
  • Acoustic Doppler Current Profiler (ADCP): ADCPs are used throughout USGS to measure streamflow. ADCPs measure water velocity by transmitting sound waves which are reflected off sediment and other materials in the water. Data collected from ADCPs can then be used to for bathymetric mapping.
  • Sub-bottom profilers: Sub-bottom profilers are most commonly used to view the layers of sediment and rocks under the water body floor. A transducer sends a sound wave to the water body floor. This sound wave can penetrate the water body floor. The data returned from the sound waves can be mapped to show the layers beneath the water body floor.
  • Ecomapper Autonomous Underwater Vehicle: The Ecomapper can collect detailed bathymetric data, down to one-foot contours, in places that are difficult to reach with boats. The Ecomapper uses side-scan sonar and a Doppler velocity log.

We use bathymetric surveys for many different types of research:


Lake Victoria bathymetric data - Geographic Information Systems

By S. Mike Linhart and Kris D. Lund

U.S. Geological Survey Scientific Investigations Map 2949

AVAILABLE ONLINE ONLY

Abstract

The U.S. Geological Survey, in cooperation with the Iowa Department of Natural Resources, conducted bathymetric surveys on six lakes in Iowa during 2004 (Lake Darling, Littlefield Lake, Lake Minnewashta, Nine Eagles Lake, Prairie Rose Lake, and Upper Gar Lake). The surveys were conducted to provide the Iowa Department of Natural Resources with information for the development of total maximum daily load limits, particularly for estimating sediment load and deposition rates. The bathymetric surveys can provide a baseline for future work on sediment loads and deposition rates for these lakes. Two of the lakes surveyed in 2004, Lake Minnewashta and Upper Gar Lake, are natural lakes. The other four lakes are manmade lakes with fixed spillways.

Bathymetric data were collected using a boat-mounted, differential global positioning system, echo depth-sounding equipment, and computer software. Data were processed with commercial hydrographic software and exported into a geographic information system for mapping and calculating area and volume. Lake volume estimates ranged from 83,924,000 cubic feet (1,930 acre-feet) at Lake Darling to 5,967,000 cubic feet (140 acre-feet) at Upper Gar Lake. Surface area estimates ranged from 10,660,000 square feet (240 acres) at Lake Darling to 1,557,000 square feet (36 acres) at Upper Gar Lake.


Lake Bathymetry

Lake Bathymetry describes the water depth for selected reservoirs, lakes, ponds, and coves in Connecticut. It includes depth contours, also called bathymetric contours, that define lines of equal water depth in feet. This information was collected and compiled by the State of Connecticut, Department of Environmental Protection over a period of time using a variety of different techniques and equipment including manual depth soundings, use of an electronic depth sounder in conjunction with a GPS receiver to locate the boat, and digitizing previously published bathymetry maps. Data is compiled at a variety of scales and resolutions, depending on the collection method used for a particular waterbody. A list of the waterbodies included in this layer can be viewed in the GIS Metadata for Lake Bathymetry. This information was used to publish bathymetric maps in A Fisheries Guide to Lakes and Ponds of Connecticut, Robert P. Jacobs, Eileen B. O'Donnell, and William B. Gerrish, Connecticut Department of Environmental Protection Bulletin 35, 2002, SBN 0-942085-11-6.


Certificate of Proficiency | 27 credits

Natural Sciences and Engineering Division
Taylorsville Redwood Campus Science & Industry Building, 359A
General Information 801-957-4944
Program Information 801-957-4880
Program Website
Academic Advisor

Program Faculty
R. Adam Dastrup, MA, GISP

Program Description
The Geographic Information Systems (GIS) Certificate of Proficiency is an interdisciplinary program addressing competencies outlined by the Department of Labor’s Geospatial Technology Competency Model (GTCM) with an emphasis in geographic information systems (GIS), remote sensing, global positioning systems (GPS), and programming. The interdisciplinary approach and flexibility of the certificate allow students to apply GIS technology and skill sets to their chosen field of study. The growing need by governmental agencies, nonprofit organizations, and industries need a workforce trained in GIS technology. This certificate is meant to be a stackable credential, meaning students can use the spatial knowledge and technical skills acquired to enhance their chosen field of study or employment.

Career Opportunities
Students completing the GIS Certificate of Proficiency will be highly qualified for most entry-level geospatial technology positions, specifically in Geographic Information Systems (GIS). Entry-level positions could include local, state, and federal governmental agencies, nonprofit organizations, transportation, public utilities, private sector positions, and military. 

The geospatial technology industry is incredibly diverse and interdisciplinary, applicable and highly needed in the following industries: business and marketing geography urban planning and transportation architecture public safety homeland security criminal justice and law enforcement public health forestry and agriculture environmental science and wildlife conservation energy management natural resource management history, archeology, and archeology sociology military disaster response and mitigation surveying computer science and information systems and more. Learn more at https://www.esri.com/en-us/industries/index.

Transfer/Articulation Information
Starting Fall Semester 2018, the Geographic Science AS degree directly transfers to the Geography Department at the University of Utah. Courses in that program of study are included in this GIS Certificate of Proficiency. Those courses include GEOG 1180 Programming using Python   , GEOG 2100 Cartographic Principles   , and GEOG 2500 Introduction to Geographic Information Systems   .

Estimated Cost for Students
Tuition and student fees: http://www.slcc.edu/student/financial/tuition-fees.aspx
Books: All of the courses will use Open Education Resources (OER) material.
Course Fees: $200

Estimated Time to Completion
Time to completion is three semesters based on a part-time minimum of 11 credits per semester. Less than 11 credits per semester will increase the time to completion.

Identify, explain, and find meaning in spatial patterns and relationships, such as site conditions, how places are similar and different, the influence of a land feature on its neighbors, the nature of transitions between places, how places are linked at local, regional, and/or global scales.

Compare and contrast the elements of geospatial data quality, including geometric accuracy, thematic accuracy, resolution, precision, and fitness for use.

Apply the necessary components, role, and operations of the Global Navigation Satellite System (GNSS), including the Global Positioning System and similar systems.

Use the concept of the electromagnetic spectrum to explain the difference between sensors (e.g., optical, microwave, multispectral, hyperspectral, etc.) across multiple remote sensing platforms.

Differentiate the several types of resolution that characterize remotely-sensed imagery, including spatial, spectral, radiometric, and temporal across multiple remote sensing platforms.

Demonstrate foundational skill sets on which geographic information systems (GIS) are based, including the problem of representing change over time and the imprecision and uncertainty that characterizes all geographic information.

Acquire and integrate a variety of field data, image data, vector data, and attribute data to create, update, and maintain GIS databases.

Compare advantages and disadvantages of standard spatial data models, including the nature of vector, raster, and object-oriented models, in the context of spatial data used in the workplace.

Use geoprocessing software to perform essential GIS analysis functions.

Apply Earth geometry and geodesy techniques such as datums, coordinate systems, and map projections to geospatial applications.

Apply modeling and spatial analysis skill sets using geographic information systems (GIS) technology.

Recognize GIS tasks and computer programming software that is amenable to automation, such as route generation, incident response, and land use change analysis.

Employ cartographic design principles to create and edit visual representations of geospatial data, including maps, graphs, and diagrams.

Demonstrate how the selection of data classification and/or symbolization techniques affects the message and communication of thematic maps to specific audiences.

Development professional, networking, critical thinking, ethical, and teamwork skills related to the discipline of geospatial technology.

Determine trends in geospatial technology and applications including mobile apps, sUAS/drones, cloud applications, and web-based mapping.


Record Published 2017-03-21
Record Last Modified 2021-06-25
Resource Status completed

Object Description

Object Name: WHSE_FISH.BATH_LAKE_BATHYMETRIC_SP

Short Name: BATH_LAKES
Comments: Digital Lake Bathymetric Maps georeferenced to the provincial 1:20,000 BC Freshwater Atlas Lakes spatial layer. Each lake depth contour is represented by a polygon feature.


Sites on the landscape: Paleoenvironmental context of late Pleistocene archaeological sites from the Lake Victoria basin, equatorial East Africa

Open-air archaeological sites record only a small fraction of the behavioral traces of mobile forager populations. Whereas caves and rockshelters were often occupied at least in part for protection from the elements, the reasons why human foragers occupied other places on the landscape (however briefly) are varied and not always readily recoverable. We develop a framework for interpreting human use of the landscape and modeling occupation of open-air sites using the archaeological and paleoenvironmental record of Middle Stone Age (MSA) sites from Rusinga and Mfangano Islands, located near the eastern margin of Lake Victoria. Paleoenvironmental reconstructions using fossil faunas suggest an arid grassland setting unlike the present. Paleoecological modeling of the habitats of extant and extinct bovids, combined with GIS-based reconstructions of lake level change, indicate that human occupation of these sites coincided with substantial declines in the level of Lake Victoria. During this time, both Rusinga and Mfangano would have been connected to the mainland and represented local topographic highs within an extensive grassland. Geological, ecological, and ethnobotanical observations suggest that these topographic high points would likely have been important sources of stone raw material, fresh water, and a variety of plant resources for food, fuel, and other purposes. In contrast, the grassy lowland plains were probably exploited primarily as a source of large game, which included numerous species of large gregarious grazers, several of which may have followed now extinct migration routes.


Watch the video: The Nile River. From Lake Victoria to the Mediterranean Sea