Title: Satellite Remote Sensing Tools in Support of Forest Monitoring
1Satellite Remote Sensing Tools in Support of
Forest Monitoring
- Presented by Joe Spruce and Jerry Gasser
- NASA Stennis Space Center
- Eastern Forest Environmental Threat Assessment
Center Review - July 6, 2009
2Background on activity
- NASA Stennis is helping the USFS EFETAC to
integrate NASA satellite data products into a
national forest threat early warning system - Most of work regards MODIS time series data
- MODIS NDVI data for vegetation phenology product
development - MODIS NDVI products for monitoring historical and
current forest disturbance - Some work is being done with other NASA satellite
data and software products
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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3Development of MODIS Vegetation Phenology Products
- Presented by Jerry Gasser
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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4Objectives for developing CONUS vegetation
phenology products
- Compute and deliver the highest possible quality
vegetation phenology geospatial data base for the
conterminous United States (CONUS ) - Using 250 meter MODIS data from Aqua and Terra
sensors - Evaluate the utility of the phenological database
as input to the EWS for monitoring forest threats - Employ products in assessing known forest
disturbances - Validate against available reference data
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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5MODIS vegetation phenology product development
method
- Data Downloading
- Primary data set - MODIS MOD 13 NDVI data
- 250 meter 16-day composite product
- Downloaded 9 years of CONUS coverage (2000
2008) - Data Processing
- The Time Series Product Tool (TSPT) software is
used to generate filtered time series data
products - The Phenological Parameters Estimation Tool
(PPET) software uses the TSPT output to compute
phenological parameters for each pixel - Output Products
- Phenological parameter data tiles are mosaicked
into CONUS products that are in a standard map
projection
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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6MODIS tiles for CONUS coverage
CONUS Products are Based on 14 Tiles of MOD13 Data
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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7MODIS vegetation phenology product overall work
flow
8TSPT processing overview
9PPET processing overview
10Vegetation phenology parameter products
- NDVI Value and Date of Occurrence for
- Left Season Minimum
- Season Start
- Onset of Max Greenness
- Season Max NDVI
- Onset of Greenness Decrease
- Season End
- Right Season Minimum
- Additional Products
- Season Integral Products
- Cumulative Integral Products
- Quality Control (QC) flags
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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11 MODIS CONUS vegetation phenology product
deliverables
- Version 1.0
- Derived from MOD13 Collection 4 data
- CONUS phenological parameter and cumulative
integral products for 2000-2006 - Version 1.5
- Derived from MOD13 Collection 5 data
- Generated using the average of AQUA and TERRA
products - CONUS phenological parameters and cumulative
integrals for 2006-2008 - Version 2.0 (scheduled for October 2009)
- Will utilize MOD13 Collection 5 data
- Generated using Day of Year (DOY) acquisition
information - CONUS phenological parameter and cumulative
integral products for 2000-2008
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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12 MODIS CONUS phenology product validation -
observations
- Compared field data to PPET results and
alternative MODIS-based phenology products
(MOD12Q2) derived at 1 km resolution - Also compared PPET results directly to the
MOD12Q2 product for mapped northern hardwood
forest in the northeastern U.S. - Efforts to quantify accuracy of satellite
phenology product results are confounded by
differences in product resolution, differences in
product development methods, in-availability of
field data relevant to MODIS scales of
observation, and in-availability of good,
detailed forest cover type maps - The PPET phenology products do appear to be
useful as indices of forest growing season
conditions that can be monitored over time - Each 250 meter pixel equates to 6.25 hectares
(15 acres) on the ground
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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13Use of MODIS Products for Forest Disturbance
Monitoring
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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14Background - MODIS forest disturbance monitoring
efforts
- Since 2007, NASA SSC and the USFS have worked to
assess MODIS time series data products for
monitoring regional forest disturbance from
multiple threats - Even though MODIS is spatially coarse, its broad
area coverage and daily collection offer
advantages for monitoring regional forest
conditions - We are conducting case studies to assess,
develop, and demonstrate MODIS NDVI products for
tracking forest disturbance from specific threats - Such studies have been done in hindcast and more
recently nowcast modes
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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15Forest threat assessment case studies in support
of EWS development
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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16Gypsy Moth Defoliation Detection Studiesfor 2001
and 2007
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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17Assessing gypsy moth forest defoliation with
MODIS NDVI data
- The forest threat EWS requires wall to wall
regional detection of forest defoliation,
preferably in near real time - An initial feasibility study was done in the
Central Appalachian highlands of the eastern US,
an area prone to gypsy moth (GM) defoliation - GM defoliation was detected from classifications
of 48 day temporal composites of MODIS NDVI
products from the defoliation time frame (June
10-July 27) for 2000-2006
18Example MODIS 2001 gypsy moth defoliation
detection products
19Validation of MODIS 2001 gypsy moth defoliation
detection products
- Defoliation detection products were validated by
image interpretation of random sample locations
on Landsat and ASTER satellite displays
20Example of 2007 gypsy moth forest defoliation
from MOD13 data
21Use of MODIS NDVI for Near Real Time (NRT)
Monitoring of Insect Defoliation
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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222009 Near Real Time (NRT) Forest Defoliation
Detection Michigan
23MODIS 2009 NRT Forest Defoliation Detection
Western Pennsylvania
24MODIS-Based Assessment of Forest Damage from
Hurricanes
- Main Example Hurricane Katrina
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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25MODIS products for assessing forest damage from
Hurricane Katrina
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26View of hurricane impact zones from 20 left
maximum NDVI products
27Use of MODIS Products in Assessing Western US
Forest Mortality and Decline
- Example - Northern Colorado
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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28Objectives Northern Colorado Case Study
- Assess MODIS phenology products for monitoring
forest disturbance events in the western US Rocky
Mountains - Cumulative Integral NDVI, Peak Growing Season
NDVI, and 80 Right Growing Season NDVI - Assess MODIS MOD13 temporal composite products
for monitoring mountain pine beetle mortality - Focus initial work in Colorado, using sketch
maps, Landsat, and aerial reference data
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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29Western US view of forest conditions in 2006 vs.
baseline cumulative NDVI
2002-2006 Maximum NDVI CI-23 in red color gun
2006 CI-23 in blue and green
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30USGS 2002-2006 fire perimeter maps overlain onto
MODIS RGB
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312006 USFS MPB mortality sketch map overlain onto
MODIS RGB
Mountain pine beetle forest mortality was rarely
noted in the eastern flank, where there was less
drop cumulative NDVI in 2006 versus the baseline
(maximum cumulative NDVI of 2002-2006)
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32True color summer 2006 Landsat data overlain onto
MODIS RGB
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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33MODIS RGB versus summer 2006 Landsat true color
RGB
34Participation in this work by NASA Stennis
contractors (e.g., Science Systems
Applications, Inc. and Lockheed Martin
Corporation) at the John C. Stennis Space Center,
Mississippi was enabled under NASA Task Order
NNS04AB54T.
Eastern Forest Environmental Threat Assessment
Center Review July 6, 2009
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