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Digital Data Sources For Family Forests Paul Gessler Remote Sensing & GIS Research Laboratory College of Natural Resources, University of Idaho www.cnr.uidaho.edu/remotesensing. Talk Outline:
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Computerized Data Sources For Family Forests Paul Gessler Remote Sensing & GIS Research Laboratory College of Natural Resources, University of Idaho www.cnr.uidaho.edu/remotesensing

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Talk Outline: Geographic Information Systems (GIS) 1. Definitions, apparatuses 2. Programming bundles 3. Advanced information sources 4. Instructional classes Global Positioning Systems (GPS) (creating your own computerized information) Images – Aerial and Satellite, LIDAR (buying cooperatives) Web-based Mapping and Data Management

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Talk Outline: Geographic Information Systems (GIS) 1. Definitions, devices 2. Programming bundles 3. Advanced information sources 4. Instructional classes Global Positioning Systems (GPS) (producing your own advanced information) Images – Aerial and Satellite, LIDAR (obtaining cooperatives) Web-based Mapping and Data Management

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A G eographic I nformation S ystem ( GIS ) is characterized as: A framework for catching, putting away, checking, incorporating, controlling, examining, and showing information which are spatially referenced to the Earth. PC & programming

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Why Use GIS? Enhance hierarchical coordination Make better choices, dissect landscape patterns & designs Make maps GIS devices give the "master plan" about the assets under your care and help you in growing long haul supply methodologies, anticipating silvicultural stock, deciding collecting framework alternatives, where to plant certain species for ideal returns and so forth

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Landscape Structure Georeferenced 3-D Visualization

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Rick Lovell SpatialTec

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Where to begin? Fundamental equipment, programming: $1350 - $10,000 Expertise preparing: short courses Private Contractors: give printed version maps, digital information, Internet Map Services (IMS) www.mines.uidaho.edu/topography/ - UI GIS Certificate Program www.gis.com – ESRI (Arc/Info, ArcGIS, ArcView… ) www.consulting-foresters.com - Northwest Management, privately owned business www.digitalgrove.net - Private website with bunches of valuable assets www.digitshare.org - Sentry Dynamics, privately owned business situated at UI Research Park in Post Falls www.cnr.uidaho.edu/rsgis/education.htm - UI College of Natural Resources www.cnr.uidaho.edu/remotesensing - UI Remote Sensing & GIS Research Lab

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Software Packages – numerous!

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Where to get information? Numerous spots: nearby, state, government organizations, Universities… inside.idaho.edu wagda.lib.washington.edu/www.ecy.wa.gov/administrations/gis/information/data.htm www.wsdot.wa.gov/mapsdata/geodatacatalog/default.htm www.dnr.wa.gov/dataandmaps/

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Talk Outline: Geographic Information Systems (GIS) 1. Definitions, instruments 2. Programming bundles 3. Advanced information sources 4. Instructional classes Global Positioning Systems (GPS) (creating your own computerized information) Images – Aerial and Satellite, LIDAR (acquiring cooperatives) Web-based Mapping and Data Management

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GPS - Global Positioning Systems $20 billion US Taxpayer Investment

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GPS Equipment - Receivers Price run: $150 - $25,000 GPS Equipment - Antennas Mounted on a rooftop, a post, a truck, or a man.

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GPS references www.trimble.com www.aero.org/distributions/GPSPRIMER/www.colorado.edu/topography/gcraft/notes/gps/gps_f.html

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Laser Rangefinders Distance and Height Measurement GPS Offset Mapping & GIS Data Capture (numerous units interface straightforwardly with GPS through inherent RS232 interfaces) Timber Cruising GIS information catch Wildlife areas Wireless reconciliation w/GPS & use with information word references

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Basic Features to search for: Level of exactness required: differential corrections required? Incorporated signal: FM, or Omnistar… Integrated WAAS/EGNOS/GLONASS capability Data stockpiling limit, logging (RTCM, NMEA) Multipath dismissal – Everest Data lexicons Wireless coordination Weight, battery life, vehicle pack

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Talk Outline: Geographic Information Systems (GIS) 1. Definitions, devices 2. Programming bundles 3. Advanced information sources 4. Instructional classes Global Positioning Systems (GPS) (creating your own advanced information) Images – Aerial and Satellite, LIDAR (buying cooperatives) Web-based Mapping and Data Management

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Traditional film-based airborne picture catch will in the blink of an eye become a recorded innovation – supplanted by digital cameras Reasons: determination, computerized organize accommodation, inexpensive great quality printers, satellite capabilities

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Key focuses/issues to know about: Aerial photograph/picture is NOT A MAP ! – mutilations due to camera focal point, airplane development, topography Various levels of geometric remedy and georeferencing If craving is to use for mapping, look for ortho-amended images – focal points to satellite based images Ortho-redressed implies rectifications for all distortions – instruments that twist pictures utilizing a few control focuses are NOT ortho-corrected – requires advanced height model and more sophisticated photogrammetry programming

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Some suppliers: http://www.cnr.uidaho.edu/remotesensing/rs_courses/for375/375.htm www.asprs.org - American Society for Photogrammetry and Remote Sensing http://www.possys.com/http://edcsns17.cr.usgs.gov/EarthExplorer/ - USGS Earth Explorer http://www.nima.mil/ - National Geospatial Intelligence Agency Many esteem included picture items are being created and more are not too far off

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Forest Health/Status Index Pilot Study Potlatch Corp and Forest Capital – beginning end client pilot ponder

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NIR - R Normalized Difference Vegetation Index: NDVI = NIR + R

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Image obtaining cooperatives: Potlatch Corp., County Govt., AVISTA, Coeur d\'Alene Tribe

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LIght Detection And Ranging (LIDAR) 1 st created in 1960 by Hughes Aircraft inc. Cutting edge PCs and DGPS make it reasonable: requires to a great degree accurate timing Measures separation to surfaces by timing a laser heartbeat and it\'s corresponding return(s) Lidar information are the X, Y, Z positions of each return Typically utilized as a part of exceptionally precise mapping of geology

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Discrete return lidar: Millions of X,Y,Z focuses Area of 1.0 X 0.75mi. incorporates ~ 440,000 returns (shelter)

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Lidar landscape displaying

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Lidar catches 3D data

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Talk Outline: Geographic Information Systems (GIS) 1. Definitions, instruments 2. Programming bundles 3. Advanced information sources 4. Instructional classes Global Positioning Systems (GPS) (creating your own computerized information) Images – Aerial and Satellite, LIDAR (acquiring cooperatives) Web-based Mapping and Data Management

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SUMMARY Many advanced information sources and apparatuses – addressed several (GIS, GPS, Imagery, Web-based) Should private landowners put resources into these devices? Web mapping is not too far off, membership based – will require rapid web associations Value included items are getting to be accessible (fire fuels, woods wellbeing/status file… ) Many preparing openings exist – some online New mapping advancements coming soon to assessing backwoods Lidar, esteem included picture items – woodland health

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Using spatial 3-PG to anticipate carbon sequestration over the Priest River Experimental Forest

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3-PG (Physiological Principles Predicting Growth) is timberland development handle demonstrate based upon physiological procedures Empirical versus Prepare models: exact - in light of measurable connections, anticipating outcomes ( i.e. Foreseeing woodland development in light of past development) handle - in view of procedures, comprehension connections (i.e. Anticipating woodland development in view of physiological procedures) Process models can fuse exact models

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Structure and Causal Influences

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Maximum Total Biomass Allocated to Highest Value Species 100 yrs without modification 200 yrs without change 100 yrs, 20% lessening ASW 100 yrs, 40% diminishment ASW ABGR ABLA PIMO TSHE THPL 3-PGS Final Outputs Maximum Total Biomass 100 yrs without adjustment 200 yrs without modification 100 yrs, 20% decrease ASW 100 yrs, 40% decrease ASW Grand Fir Subalpine Fir Western White Pine Western Hemlock Western Red Cedar

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