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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

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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

Better Forest Management Decisions Using LiDAR Products

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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

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• 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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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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

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Buffer Analysis – Segment Creation

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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

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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

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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

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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

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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

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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

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• 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

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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

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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

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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

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Robert Feldt - Maryland Forest Service, Forest Resource Planning

580 Taylor Avenue, E-1, Annapolis, MD 21401, 410-260-8529

[email protected] Reed