North American Forest Disturbance and Regrowth since 1972 ......Samuel N. Goward, Univ. Maryland...

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North American Forest Disturbance North American Forest Disturbance and Regrowth since 1972: and Regrowth since 1972: Empirical Assessment with Field Measurements and Empirical Assessment with Field Measurements and Satellite Remotely Sensed Observations Satellite Remotely Sensed Observations NORTH AMERICAN CARBON PROGRAM & NASA Carbon Management Program Samuel N. Goward, Univ. Maryland Samuel N. Goward, Univ. Maryland Jeffery Jeffery Masek Masek , NASA GSFC , NASA GSFC Warren Cohen, USFS PNWRS Warren Cohen, USFS PNWRS Getchen Getchen Moisen Moisen , USFS RMRS , USFS RMRS John Townshend, University of Maryland Robert E. Kennedy, USFS PNWRS Karl Huemmrich, UMBC Andy Lister USFS NERS Michael Hoppus USFS NERS

Transcript of North American Forest Disturbance and Regrowth since 1972 ......Samuel N. Goward, Univ. Maryland...

  • North American Forest Disturbance North American Forest Disturbance and Regrowth since 1972: and Regrowth since 1972:

    Empirical Assessment with Field Measurements and Empirical Assessment with Field Measurements and Satellite Remotely Sensed ObservationsSatellite Remotely Sensed Observations

    NORTH AMERICAN CARBON PROGRAM& NASA Carbon Management Program

    Samuel N. Goward, Univ. MarylandSamuel N. Goward, Univ. MarylandJeffery Jeffery MasekMasek, NASA GSFC, NASA GSFC

    Warren Cohen, USFS PNWRSWarren Cohen, USFS PNWRSGetchenGetchen MoisenMoisen, USFS RMRS, USFS RMRS

    John Townshend, University of MarylandRobert E. Kennedy, USFS PNWRS

    Karl Huemmrich, UMBCAndy Lister USFS NERS

    Michael Hoppus USFS NERS

  • April 12, 2006April 12, 2006 NASA LULUC MeetingNASA LULUC MeetingUMUCUMUC

  • April 12, 2006April 12, 2006 NASA LULUC MeetingNASA LULUC MeetingUMUCUMUC

    The North American Carbon Program The North American Carbon Program (NACP)(NACP)

    Contribution to N. Hemisphere carbon sink.Contribution to N. Hemisphere carbon sink.Region of significant fossil fuel emissions.Region of significant fossil fuel emissions.Partial infrastructure to characterize sources Partial infrastructure to characterize sources and sinks.and sinks.Continental scale permits integration for Continental scale permits integration for analysis in global context.analysis in global context.

    Reduce uncertainties & Pave the way for effective policies

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    USDA Forest Service Forest Inventory and Analysis

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    Number of Plots for the Most Common* Forest Types by Age ClassAll Counties

    0

    5

    10

    15

    20

    25

    1-10 10-20 20-30 30-40 40-50 50-60 60-70 70-80 80-90 90-100 100-110

    110-120

    120+

    Ten Year Age C lass

    Lob lo lly P ineLoblo lly P ine/HardwoodMixed up land HardwoodsSweetbay/Swam p Tupelo /Red MapleSweetgum /Nuttall Oak/W illow O akSweetgum /Yellow-pop larV irg inia P ineV irg inia P ine/Southern Red OakW hite O ak/Red Oak/HickoryYellow-pop lar/W hite Oak/Red Oak

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    Forest Remote Sensing

    Z

    c, C

    b, Bs, S

    t

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    Landsat-7 current (?)

    ERTS-1 1972

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    Research GoalsResearch GoalsFor US (&Canada) sites (~25)For US (&Canada) sites (~25)

    Statistically sample Landsat WRS (World Reference Statistically sample Landsat WRS (World Reference System) System)

    180 by 180 km per WRS, 400 WRS for conterminous USA180 by 180 km per WRS, 400 WRS for conterminous USABuild a data cube for WRS Build a data cube for WRS –– one scene every 2 years: one scene every 2 years:

    mid growing season (~Junemid growing season (~June--Sept)Sept)essentially cloud free (or merged) essentially cloud free (or merged) atmospherically adjusted atmospherically adjusted

    Evaluate disturbance and regrowth Evaluate disturbance and regrowth comparative analysis of RS and FIA observationscomparative analysis of RS and FIA observations

    Extrapolate to US (and continent with Canadian colleagues)Extrapolate to US (and continent with Canadian colleagues)statistical modeling approachstatistical modeling approach

    Relate dynamics to North American carbon balanceRelate dynamics to North American carbon balancein association with NACP colleagues.in association with NACP colleagues.

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    30 years of Landsat 30 years of Landsat ––Data CubesData Cubes1972 1974 1976 1978 1980

    200420022000199819961994

    199219901984 19881986

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    85-8888-9191-9595-9999-01Undist.Forest

    L7 ETM+ Oct. 5, 2001 (7,5,3 RGB)Northeastern Virginia

    Disturbance Analysis

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    Landsat-5: LEDAPS Atmospheric Adjustment

    1990’s Landsat-5 mosaic

    100 km

    100 km

    TOA reflectance

    Surface reflectance

    BOREAS Study Region

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    % disturbance

    0% 100%

    LEDAPS

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    10 year 10 year vsvs 1 year1 year

  • Major versus minor disturbancesMajor versus minor disturbancesYear Disturbed

    1985

    1986

    1987

    1988

    1989

    1990

    1991

    1992

    1993

    1994

    1995

    1996

    1997

    1998

    1999

    2000

    2001

    Forest

    Nonforest

    Lake Anna, VA, 60 km NW of Richmond, VA

    Major disturbance

    0

    5

    10

    15

    20

    25

    1985 1990 1995 2000

    Year

    FI

    Minor disturbance

    0

    5

    10

    15

    20

    25

    1985 1990 1995 2000

    Year

    FI

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    MidMid--Atlantic Study SitesAtlantic Study SitesNorthwestern Pennsylvania

    Path 17/Row 31

    Eastern VirginiaPath 15/Row 34

    MarylandPath 15/Row 33

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    Carbon Management Focus SitesCarbon Management Focus Sites5 Data Cubes - Locations Selected by FIA regional reps

    Northeast P14 R32, E. PANorth Central P27 R27, NE MNPacific NW P46 R29, W.OR

    Southern P16 R37, E. SCInter-Mountain P37 R35, N. AR

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    Regional Change PatternsRegional Change PatternsCharleston, South CarolinaLaurel, Maryland

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    National SamplingNational Sampling

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    Data SourcesData SourcesPrimary Archives USGS EROS

    EOSATInternational Ground Stations

    Secondary Archives U.S. Forest ServiceUMd Global Land Cover FacilityEarthsat GeocoverMulti-Resolution Land CoverUSDA (?)

    Source Geometric Registration RadiometricCalibration

    Resampling Method

    USGS EROS Systematic PrecisionTerrain (ortho)

    Pre-flightPeriodic VicariousPeriodic LampsScene Lamps

    Nearest neighborBilinearCubic convolutionMTF (GeoCover2K)

    EOSAT TBD Pre-Flight TBD

    International Ground Stations

    Unknown, likely vary from IGS to IGS

    Unknown, likely vary from IGS to IGS

    Nearest neighborBilinearCubic convolution

    Data ProcessingData Processing

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    Data IssuesData IssuesIssueIssue Description, MagnitudeDescription, Magnitude Project ImpactProject Impact

    Geodetic Accuracy

    Errors after sytematic processing (1G): >10km (MSS), >500m (TM), ~100m

    (ETM+)Parallax Residual Error:

    50m- 250m at scene E-W edges if not terrain corrected (ortho-rectified)

    Disturbance mapping errorsHandcrafting GCPs

    Radiometry Banding, striping adds 2-3 DN noise (MSS, TM).

    Limits regrowthassessment

    Seasonality Extreme seasonal differences (e.g. spring vs fall) in image acquisition date

    because of clouds

    Increase errors in mapping disturbance

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    TM_27Aug1984ETM_02Aug2001 TM_29May1986TM_12Aug1990TM_11July1996TM_05Aug1999

    TM/ETM+ BandingTM/ETM+ Banding

    *All 4,3,2 Gaussian Enhanced*

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    Band 2

    050

    100150200250300350400450500

    0 100 200 300 400 500

    TM

    ETM

    Band 3

    0

    50

    100

    150

    200

    250

    300

    0 100 200 300

    TM

    ETM

    Band 4

    0500

    100015002000250030003500400045005000

    0 1000 2000 3000 4000 5000

    TM

    ETM

    Band 5

    0

    500

    1000

    1500

    2000

    0 500 1000 1500 2000

    TM

    ETM

    - 11 mature Eastern forest targets, ~2500 pixels each- Acquisition dates +/- 15 days of anniversary date (+10 years)

    TM vs. ETM+ Reflectance

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    Need for terrain correction Need for terrain correction –– theoretical theoretical analysis of geoanalysis of geo--location error for Landsatlocation error for Landsat

    D0

    D

    A

    H

    A – platform altitude (705 km)

    D – actual pixel location (from the nadir view pixel)

    D0 – calculated pixel location without terrain correction (from the nadir view pixel)

    H – terrain height

    E – geolocation error

    D0 / A = D / (A - H)

    D = D0 – D0 x H / A

    E = D0 – D

    = D0 x H / A

    Assumption: Earth surface is flat within a TM scene, which is reasonable because the maximum view angle is 7.5 degree.

    Assumed terrain

    Actual terrain

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    Seasonality and Cloud Seasonality and Cloud Contamination Contamination

    (L7 16(L7 16--Day Temporal Repeat Day Temporal Repeat –– Washington DC region, 2000)Washington DC region, 2000)May 11 May 27 June 12

    June 28 July 14 July 30

  • April 12, 2006April 12, 2006 NASA LULUC MeetingNASA LULUC MeetingUMUCUMUC

    Research GoalsResearch GoalsFor US (&Canada) sites (~25)For US (&Canada) sites (~25)

    Statistically sample Landsat WRS (World Reference Statistically sample Landsat WRS (World Reference System) System)

    180 by 180 km per WRS, 400 WRS for conterminous USA180 by 180 km per WRS, 400 WRS for conterminous USABuild a data cube for WRS Build a data cube for WRS –– one scene every 2 years: one scene every 2 years:

    mid growing season (~Junemid growing season (~June--Sept)Sept)essentially cloud free (or merged) essentially cloud free (or merged) atmospherically adjusted atmospherically adjusted

    Evaluate disturbance and regrowth Evaluate disturbance and regrowth comparative analysis of RS and FIA observationscomparative analysis of RS and FIA observations

    Extrapolate to US (and continent with Canadian colleagues)Extrapolate to US (and continent with Canadian colleagues)statistical modeling approachstatistical modeling approach

    Relate dynamics to North American carbon balanceRelate dynamics to North American carbon balancein association with NACP colleagues.in association with NACP colleagues.

    North American Forest Disturbance and Regrowth since 1972: Empirical Assessment with Field Measurements and Satellite RemoteThe North American Carbon Program (NACP)Research Goals30 years of Landsat –Data Cubes10 year vs 1 yearMid-Atlantic Study SitesCarbon Management Focus SitesRegional Change PatternsNational SamplingData SourcesData IssuesNeed for terrain correction – theoretical analysis of geo-location error for LandsatSeasonality and Cloud Contamination (L7 16-Day Temporal Repeat – Washington DC region, 2000)Research Goals