Remote Sensing and Internet Data Sources

Remote Sensing and Internet Data Sources

Unit 3: Module 12, Lecture 3 – Remote Autonomous Vehicles/On-line data resources

Developed by: Host Updated: 1.05.05 U3-m12-s2

Subsurface vehicles and sensors

In large water bodies, towed or autonomous vehicles can be used to record data over large areas Towed systems Remotely operated

vehicles Autonomous vehicles

These use a combination of remote sensors (Sonar, hydroacoustics) and probes (on-board sensors)


•Provided by Jack Kelly, Mid-Continent Ecology Division, U.S. EPA, Duluth MN

EPA-MED Duluth: Tow-Yo


EPA Lake Guardian with sonar and towed sensor

•Provided by Jack Kelly•Mid-Continent Ecology Division

•U.S. EPA, Duluth MN


Result is semi-synoptic, spatially-referenced data to characterize: Water properties (including biology)

Bathymetry and sediment character

Typically sample at 4-5 knots, to ~100 km per day

•Provided by Jack Kelly•Mid-Continent Ecology Division

•U.S. EPA, Duluth MN


•Provided by Jack Kelly, Mid-Continent Ecology Division, U.S. EPA, Duluth MN

Tow-yo shoreline sampling: Tributary receiving waters


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P ige on R iver (P or t Sh eld on)H igh E n er gy 08 /19 /02

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•Provided by Jack Kelly, Mid-Continent Ecology Division•U.S. EPA, Duluth MN


Remotely Operated Vehicles (ROV)

Jason II/ Medea Woods Hole ROV 2 body system

Medea – intermediate vehicle to decouple Jason from surface motion

6500 m capabilities

Mosaic of images shot from Jason showing the variety of sampling devices

Jonathan Howland WHOI


Autonomous Underwater Vehicles

Powered free ranging sensors Capable of deep water sampling, long

distances, inclement conditions


REMUS – Remote Environmental Monitoring Units

Wood’s Hole OI 52 inches long 80 lbs Configured to

support a variety of sensors

Salt or fresh water


REMUS – Remote Environmental Monitoring Units

Sensors Acoustic Doppler Current

Profiler Sidescan Sonar Fluorometer Bioluminescence sensor Plankton pump Video camera

Windows XP interface


Larger units - Univ. South Florida AUV


Integrated Ocean Observing System


Internet Sources of Spatial data

•http://nmviewogc.cr.usgs.gov/viewer.htm


Land Use/Land Cover

Many different land use data sets LUDA AVHRR GAP Landsat

Two important attributes Spatial Resolution Classification

Resolution


AVHRR Land Cover

AVHRR (Advanced Very High Resolution Radiometer)

1 km pixel resolution

Nationwide coverage

2 images/day Good for a

“coarse picture” of the regional landscape


USGS LULC (Land Use/Land Cover)

Based on aerial photographs 1970s and 1980s

21 cover type categories 40 ac minimum map unit Based on 1:100,000 and

1:250,000 USGS quadrangles

Free


Land Use/Land Cover: Level II codes

code = "11" Residential

code = "12" Commercial and services

code = "13" Industrial

code = "14" Transportation, communications, and utilities

code = "15" Industrial and commercial complexes

code = "16" Mixed urban or built-up land

code = "17" Other built-up land

code = "21" Cropland and pasture

code = "22" Orchards, groves, vineyards, nurseries and

ornamental horticultural areas code = "23"

Confined feeding operations code = "24"

Other agricultural land code = "41"

Deciduous forest land code = "42"

Evergreen forest land code = "43"

Mixed forest land


National Land Cover Dataset (NCLD)

Nationwide coverage Derived from early-

mid 1990s Landsat Thematic Mapper imagery

30 m resolution 21 classes (modified

Anderson Level II) 2001 NLCD data now

available

•http://landcover.usgs.gov/images/glensfalls_web.jpg


Transportation and Infrastructure

Major roads County roads Township

roads City streets Railroads Pipelines Airports

Source: TIGER data


Hydrography: water resources

Lakes Wetlands

By wetland type Emergent Forested Scrub/shrub, etc

Streams Rivers FEMA Floodplain Well locations Watershed boundaries

Internet Map Server session for a wetland inventory of the Poplar River watershed, north shore of Lake Superior


Census data

Maintained by US Census Bureau

Data available in Blocks Tracts Other divisions

Summarized by Population Demographics Congressional

districts, others•Census tracts, St. Louis Co, MN


Digital Elevation Models (DEMs)

Pixel-based data describing elevations

Typically 30 m resolution Used for

Slope calculations Generating contours Watershed delineations Hydrologic modeling

Flow direction Flow distance

Viewshed analyses Hillshades


Easy GIS – accessing on-line data

Be sure to visit

DuluthStreams

And LakeAccess!


Metadata: data about data

Important to understand where your data came from – metadata

Identification_Information Citation Citation_Information Originator: NOAA Coastal Services Center Publication_Date: 19971131 Title: Hurricane Storm Surge Geospatial_Data_Presentation_Form: Map Publication_Information Publication_Place: Charleston, SC Publisher: NOAA Coastal Services Center Larger_Work_Citation Citation_Information

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Remote Sensing and Internet Data Sources