digital data sources for family forests paul gessler remote sensing & gis research laboratory...
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![Page 1: Digital Data Sources For Family Forests Paul Gessler Remote Sensing & GIS Research Laboratory College of Natural Resources, University of Idaho](https://reader031.vdocuments.site/reader031/viewer/2022032800/56649d385503460f94a111d4/html5/thumbnails/1.jpg)
Digital Data Sources For Family Forests
Paul GesslerRemote Sensing & GIS Research Laboratory
College of Natural Resources, University of Idahowww.cnr.uidaho.edu/remotesensing
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Talk Outline:• Geographic Information Systems (GIS)
1. Definitions, tools2. Software packages3. Digital data sources4. Training courses
• Global Positioning Systems (GPS)(generating your own digital data)
• Images – Aerial and Satellite, LIDAR(purchasing cooperatives)
• Web-based Mapping and Data Management
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Talk Outline:• Geographic Information Systems (GIS)
1. Definitions, tools2. Software packages3. Digital data sources4. Training courses
• Global Positioning Systems (GPS)(generating your own digital data)
• Images – Aerial and Satellite, LIDAR(purchasing cooperatives)
• Web-based Mapping and Data Management
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A Geographic Information System (GIS) is defined as:
A system for capturing, storing, checking, integrating, manipulating, analyzing, and displaying data which are spatially referenced to the Earth.
Computer & software
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Why Use GIS?• Improve organizational integration
• Make better decisions, analyze landscape trends & patterns
• Make maps
GIS tools provide the “big picture” about the resources under your care and assist you in developing long-term supply strategies, forecasting silvicultural stock, determining harvesting system options, where to plant certain species for optimal returns etc.
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Landscape Structure
Georeferenced 3-D Visualization
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Rick LovellSpatialTec
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Where to start? • Basic hardware, software: $1350 - $10,000
• Expertise training: short courses
• Private Contractors: provide hardcopy maps, digital data, Internet Map Services (IMS)
www.mines.uidaho.edu/geography/ - UI GIS Certificate Program
www.gis.com – ESRI (Arc/Info, ArcGIS, ArcView…)
www.consulting-foresters.com - Northwest Management, private company
www.digitalgrove.net - Private site with lots of useful resources
www.digitshare.org - Sentry Dynamics, private company located 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 – many!
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Where to get data?
Many places: local, state, federal government agencies, Universities…
inside.idaho.edu
wagda.lib.washington.edu/
www.ecy.wa.gov/services/gis/data/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, tools2. Software packages3. Digital data sources4. Training courses
• Global Positioning Systems (GPS)(generating your own digital data)
• Images – Aerial and Satellite, LIDAR(purchasing 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
Mounted on a roof, a pole, a truck, or a person.GPS Equipment - Antennas
Price range:
$150 - $25,000
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GPS references
www.trimble.com
www.aero.org/publications/GPSPRIMER/
www.colorado.edu/geography/gcraft/notes/gps/gps_f.html
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Laser Rangefinders
• Distance and Height Measurement
• GPS Offset Mapping & GIS Data Capture (many units interface directly with GPS through built-in RS232 interfaces)
• Timber Cruising • GIS data capture• Wildlife locations
Wireless integration w/GPS & use with data dictionaries
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Basic Features to look for:
• Level of accuracy required: differential corrections needed?
• Integrated beacon: FM, or Omnistar…
• Integrated WAAS/EGNOS/GLONASS capability
• Data storage capacity, logging (RTCM, NMEA)
• Multipath rejection – Everest
• Data dictionaries
• Wireless integration
• Weight, battery life, vehicle kit
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Talk Outline:• Geographic Information Systems (GIS)
1. Definitions, tools2. Software packages3. Digital data sources4. Training courses
• Global Positioning Systems (GPS)(generating your own digital data)
• Images – Aerial and Satellite, LIDAR(purchasing cooperatives)
• Web-based Mapping and Data Management
![Page 21: Digital Data Sources For Family Forests Paul Gessler Remote Sensing & GIS Research Laboratory College of Natural Resources, University of Idaho](https://reader031.vdocuments.site/reader031/viewer/2022032800/56649d385503460f94a111d4/html5/thumbnails/21.jpg)
Traditional film-based aerial image capture will shortly become a historical technology – replaced by
digital cameras
Reasons: resolution, digital format convenience, inexpensive good quality printers, satellite capabilities
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• Aerial photo/image is NOT A MAP! – distortions due to camera lens, aircraft movement,
topography
• Various levels of geometric correction and georeferencing
• If desire is to use for mapping, seek ortho-rectified images – advantages to satellite based
images
• Ortho-rectified means corrections for all distortions – tools that warp images using a few control points are NOT ortho-rectified – requires digital elevation model and more sophisticated photogrammetry software
Key points/issues to be aware of:
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Some providers:
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 value-added image products are being developed and more are on the horizon
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Forest Health/Status Index Pilot StudyPotlatch Corp and Forest Capital – initial end user pilot study
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Normalized Difference Vegetation Index: NDVI = NIR + R
NIR - R
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Image purchasing cooperatives:
Potlatch Corp., County Govt., AVISTA, Coeur d’Alene Tribe
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LIght Detection And Ranging (LIDAR)LIght Detection And Ranging (LIDAR)
• 11stst developed in 1960 by Hughes developed in 1960 by Hughes Aircraft inc.Aircraft inc.
• Modern computers and DGPS make Modern computers and DGPS make it practical: requires extremely it practical: requires extremely accurate timingaccurate timing
• Measures distance to surfaces by Measures distance to surfaces by timing a laser pulse and it’s timing a laser pulse and it’s corresponding return(s)corresponding return(s)
• Lidar data are the X, Y, Z positions of Lidar data are the X, Y, Z positions of each returneach return
•Typically used in very accurate Typically used in very accurate mapping of topographymapping of topography
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Discrete return lidar: Millions of X,Y,Z pointsDiscrete return lidar: Millions of X,Y,Z points
Area of 1.0 X 0.75mi. includes Area of 1.0 X 0.75mi. includes ~ 440,000 returns (canopy)~ 440,000 returns (canopy)
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Lidar terrain modelingLidar terrain modeling
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Lidar captures 3D informationLidar captures 3D information
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Talk Outline:• Geographic Information Systems (GIS)
1. Definitions, tools2. Software packages3. Digital data sources4. Training courses
• Global Positioning Systems (GPS)(generating your own digital data)
• Images – Aerial and Satellite, LIDAR(purchasing cooperatives)
• Web-based Mapping and Data Management
![Page 36: Digital Data Sources For Family Forests Paul Gessler Remote Sensing & GIS Research Laboratory College of Natural Resources, University of Idaho](https://reader031.vdocuments.site/reader031/viewer/2022032800/56649d385503460f94a111d4/html5/thumbnails/36.jpg)
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SUMMARY
• Many digital data sources and tools – touched on several (GIS, GPS, Imagery, Web-based)
• Should private landowners invest in these tools? Web mapping is on the horizon, subscription based – will require high speed internet connections
• Value added products are becoming available (fire fuels, forest health/status index…)
• Many training opportunities exist – some online
• New mapping technologies on the horizon for assessing forests
Lidar, value-added image products – forest health
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Using spatial 3-PG to predict carbon sequestration over the Priest River
Experimental Forest
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Empirical vs. Process models:
• empirical - based on statistical relationships, predicting outcomes (i.e. Predicting forest growth based on past growth)
• process - based on processes, understanding relationships(i.e. Predicting forest growth based on physiological processes)
Process models can incorporate empirical models
3-PG (Physiological Principles Predicting Growth) is forest growth process model based upon physiological processes
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Structure and Causal InfluencesP AR
Interc eptedP AR
G P P
N P P
LAI
P hys M od
F R T av
Res piration
VP D
S LA
Rain
S oilw ater
In terc eption Evaporation
Conduc -tanc e
+
+
++
+
+
+
+
+
+
Water balance Canopy production
Rootbiom as
F oliagebiom as s
Above groundw oody biom as s
D BH
pF S
s temvolum e
w ooddens ity
branc h &bark ratio
LitterfallRootturnover
+ +
+
+
+
M ortality
S tem m as s S toc king
+ +
+ B iomass partitioning
Stem mortalityV olume growth
Input data
S tate var iable
In ternal var iable
F ixed param eter
Explic itly tim e-dependentparam eter
Caus al inf luenc e:+ = causes increase = causes decrease = has optimum
P hys ic al f low w ith rate
M e a n in g o f e le m e n ts
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3-PGS Final Outputs
100 yrs without alteration
200 yrs without alteration
100 yrs, 20% reduction ASW
100 yrs, 40% reduction ASW
Maximum Total Biomass
200 yrs without alteration
100 yrs, 20% reduction ASW
100 yrs, 40% reduction ASW
100 yrs without alteration
Maximum Total Biomass Allocated to Highest Value Species
ABGRABGR ABLAABLA PIMOPIMO TSHETSHE THPLTHPL Grand Fir Subalpine Fir Western White Pine Western Hemlock Western Red Cedar