Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program...
Transcript of Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program...
![Page 1: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/1.jpg)
Better Forest Management Decisions Using LiDAR Products
1
Presentation to the Chesapeake Bay Program Forestry Work Group
Wednesday, November 5, 2014
Jack Perdue, MD Forest Service Mark Beals, MD Forest Service
![Page 2: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/2.jpg)
Better Forest Management Decisions Using LiDAR Products
2
• In 2013, Maryland Forest Cover is estimated at 2,462,473 acres
(Pennsylvania has about this much in public ownership alone).
• ~76% of Maryland Forests are privately owned.
• Most common forest type is Oak-Hickory.
• Lost about 300k to 350k acres (gross) of forest since 1970. (about the
size of Worcester County, MD)
A Brief Introduction to Maryland Forests and Forestry
Barbara Cook
![Page 3: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/3.jpg)
Better Forest Management Decisions Using LiDAR Products
3
2,781
2,737
2,641
2,592
2,490
2,418
2,565
2,454
2,482
2,4612,446
2,721
2,700
2,300
2,400
2,500
2,600
2,700
2,800
2,900
1970 1975 1980 1985 1990 1995 2000 2005 2010
Maryland Department of Planning
USDA Forest Service (FIA)
Trend (assumes 10,232 loss/yr.)
ESTIMATED FOREST LOSS IN MARYLAND 1970 TO 2013
![Page 4: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/4.jpg)
Better Forest Management Decisions Using LiDAR Products
4
The Forest Preservation Act of 2013
Sets a goal of
40% canopy
cover
statewide.
How do we do
this?
![Page 5: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/5.jpg)
Better Forest Management Decisions Using LiDAR Products
5
NASA Carbon Monitoring System (CMS) funded program
Objectives were to: “Produce a framework for estimating local-scale carbon stocks and future carbon sequestration potential for the State of
Maryland using remote sensing and ecosystem modeling.”
Deliverables were:
1. High resolution forest/non forest, canopy height (1m)
and above ground biomass (30m) over Maryland.
2. ED model based biomass and carbon sequestration
potential (90m).
3. Single Photon Counting Laser (SPL) canopy height
and biomass maps for Garrett County.
![Page 6: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/6.jpg)
Better Forest Management Decisions Using LiDAR Products
6
UMD delivered tree cover (red) – Anne Arundel County, MD - ca. 2004
LiDAR data with 2011 National Agricultural Imagery Program (NAIP)
Imagery
![Page 7: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/7.jpg)
Better Forest Management Decisions Using LiDAR Products
7
Normalized Difference Vegetation Index (NDVI) Analysis
Tree cover used as an anaylsis mask
![Page 8: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/8.jpg)
Better Forest Management Decisions Using LiDAR Products
8
Normalized Difference Vegetation Index (NDVI) Analysis
Areas with >=~0.2 index value extracted (0.1799 in this case)
![Page 9: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/9.jpg)
Better Forest Management Decisions Using LiDAR Products
9
Normalized Difference Vegetation Index (NDVI) Analysis
Areas greater than 0.5 acres extracted
![Page 10: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/10.jpg)
Better Forest Management Decisions Using LiDAR Products
10
Normalized Difference Vegetation Index (NDVI) Analysis
Areas greater than 0.5 acres extracted
Actual Tree Cover
Loss
![Page 11: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/11.jpg)
Better Forest Management Decisions Using LiDAR Products
11
Updated Tree Cover Dataset.
![Page 12: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/12.jpg)
Better Forest Management Decisions Using LiDAR Products
12
Forest vs. Tree Cover
USDA Forest Service, Forest Inventory and Analysis
(FIA) Definition of Forest: An area of trees with at least
10% tree cover and at least 1.0 acre in size and 120.0
feet wide measured stem-to-stem from the outer-most
edge. Forested strips must be 120.0 feet wide for a
continuous length of at least 363.0 feet in order to meet
the acre threshold.
--National Core Field Guide, Version 6.0, October, 2012
![Page 13: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/13.jpg)
Better Forest Management Decisions Using LiDAR Products
13
Where is Forest on the Landscape?
ESRI Corp. ArcGIS 10.2 ModelBuilder
processing.
![Page 14: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/14.jpg)
Better Forest Management Decisions Using LiDAR Products
14
2001 Forest Cover – USDA NRS 2011 Forest Cover – Based on UMD Tree Cover
![Page 15: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/15.jpg)
Better Forest Management Decisions Using LiDAR Products
15
Example:
Golden Winged
Warbler Habitat
Location
![Page 16: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/16.jpg)
Better Forest Management Decisions Using LiDAR Products
16
Tree Height From LiDAR
![Page 17: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/17.jpg)
Better Forest Management Decisions Using LiDAR Products
17
Potential GWW
habitat
Analysis of Tree Heights using LiDAR Tree Height Data - 2014
![Page 18: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/18.jpg)
Better Forest Management Decisions Using LiDAR Products
18
Riparian
Forest
Buffer
Locations
James Stimpert
![Page 19: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/19.jpg)
Better Forest Management Decisions Using LiDAR Products
19
New LiDAR Tree Cover Finding Areas to Improve Stream Buffers
Carroll County (SE of Taneytown, MD)
10 Meter Segments, 35 Foot Buffer
Red – mostly Unbuffered (<20%)
Yellow – Particially Buffered
Green – Mostly Buffered (>80%)
![Page 20: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/20.jpg)
Better Forest Management Decisions Using LiDAR Products
20
Buffer Analysis – Segment Creation
![Page 21: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/21.jpg)
Better Forest Management Decisions Using LiDAR Products
21
![Page 22: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/22.jpg)
Better Forest Management Decisions Using LiDAR Products
22
Tree cover is accurate
and precise, but
stream lines…meh
![Page 23: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/23.jpg)
Better Forest Management Decisions Using LiDAR Products
23
![Page 24: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/24.jpg)
Better Forest Management Decisions Using LiDAR Products
24
We’ve identified them, now what?
• Incorporates soils information and USGS stream data
• Fairly easy to run
• “Some assembly required” stream calculations required.
![Page 25: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/25.jpg)
Better Forest Management Decisions Using LiDAR Products
25
Riparian Buffer Delineation Tool – Results for Bynum Run
![Page 26: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/26.jpg)
Better Forest Management Decisions Using LiDAR Products
26
Riparian Buffer Delineation Tool – Results for Bynum Run
![Page 27: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/27.jpg)
Better Forest Management Decisions Using LiDAR Products
27
• Indentify landowners appropriate for the program
• 2 to 10 acres no tree cover (turf)
• Used NLCD 2006 landcover dataset.
![Page 28: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/28.jpg)
Better Forest Management Decisions Using LiDAR Products
28
Analysis of Lawn to Woodland Potential Cooperators – Using 2006 NLCD
![Page 29: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/29.jpg)
Better Forest Management Decisions Using LiDAR Products
29
A Forest Planner’s Wish List:
• We have great tree/forest cover,
now we need precision streams
• Can identify tree cover, now can
you tell me what kind of tree
species?
• Affordable updates to LiDAR
coverage at regular intervals (3 to 5
years)– Improves estimates of in-
growth.
![Page 30: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/30.jpg)
Better Forest Management Decisions Using LiDAR Products
30
Future Data Collection of LiDAR for Forestry:
Drones?
By Flying Eye (Own work) [CC-BY-SA-3.0 (http://creativecommons.org/licenses/by-sa/3.0)], via Wikimedia Commons
https://carbomap.wordpress.com/tag/forest-ecosystems/
Small Flash LiDAR
sensors
How frequently do we
need to collect data?
State forest level
projects, but is it
practical at state or
even county level?
1 space based sensor
or a gazillion drones?
![Page 31: Better Forest Management Decisions Using LiDAR ProductsPresentation to the Chesapeake Bay Program Forestry Work Group Wednesday, November 5, 2014 Jack Perdue, MD Forest Service Mark](https://reader035.fdocuments.us/reader035/viewer/2022071117/6009f2fa1c4a5d08ef77978d/html5/thumbnails/31.jpg)
Better Forest Management Decisions Using LiDAR Products
31
Robert Feldt - Maryland Forest Service, Forest Resource Planning
580 Taylor Avenue, E-1, Annapolis, MD 21401, 410-260-8529
[email protected] Reed