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The MODIS Land Cover Product

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Title: The MODIS Land Cover Product


1
The MODIS Land Cover Product
  • MODIS Land Cover Team
  • Boston University

GLC 2000 FIRST RESULTS WORKSHOP JRC Ispra,
18-22 March 2002
2
Terra Launch on December 18,1999
3
MODIS Land Bands
4
MODIS Land Cover Product
  • Objective
  • Provide a simple land-cover categorization for
    biophysical parameterization for GCM, hydrologic,
    and carbon cycling models

5
MODIS Land Cover Product Features
  • Categorizes land cover according to life-form,
    cover and height of dominant vegetation type
    following IGBP-DIS scheme
  • Uses data from spectral and temporal domains
  • Relies on advanced classifier technologyi.e.,
    decision treesin a supervised classification
    mode
  • Network of global test sites used for algorithm
    calibration and validation
  • At-launch 1-km database derived from AVHRR
    heritage
  • Level 3, 1-km spatial resolution, 96-day product
    Climate Modelers Grid (1/4) product also
    available

6
Recent Global Land Cover Products
  • Beta Product, released April 15, 2001
  • Based on 2 16-day periods of Normalized
    BRDF-Adjusted Reflectance (NBARs)
  • Provisional Product 2001001, released June 15,
    2001
  • Based on 9 16-day periods of NBARs within July
    11 January 15, 2001
  • Uses prior probabilities to help separate
    agriculture and natural vegetation
  • Includes IGBP classification, secondary classes,
    confidence measures
  • Draws from at-launch product when only 02 views
    are available or when classification confidence
    is less than 40

7
Recent Global Land Cover Products, Cont.
  • Validated Product
  • Due 15 April 2002
  • Based on MODIS data from 2001
  • Includes 4 sets of labels, per-pixel confidence
    measures, second choices

8
IGBP Land Cover Units (17)
  • Natural Vegetation (11)
  • Evergreen Needleleaf Forests
  • Evergreen Broadleaf Forests
  • Deciduous Needleleaf Forests
  • Deciduous Broadleaf Forests
  • Mixed Forests
  • Closed Shrublands
  • Open Shrublands
  • Woody Savannas
  • Savannas
  • Grasslands
  • Permanent Wetlands
  • Developed and Mosaic Lands (3)
  • Croplands
  • Urban and Built-Up Lands
  • Cropland/Natural Vegetation Mosaics
  • Nonvegetated Lands (3)
  • Snow and Ice
  • Barren
  • Water Bodies

9
The Land Cover Input Database
  • Surface Reflectance
  • Nadir-adjusted surface reflectance, 7 land bands
  • Vegetation Index
  • MODIS Vegetation Index, maximum value composite
  • Spatial Texture from 250-m Band 2
  • Standard deviation-to-mean ratio in Band 2
    (near-infrared), maximum value composite in
    32-day period
  • To be added later
  • Snow Cover
  • MODIS Snow Cover Product, number of days with
    snow cover
  • Land Surface Temperature
  • MODIS Land Surface Temperature, maximum value
    composite
  • Directional Information
  • Bidirectional reflectance model choices from BRDF
    product
  • Ancillary Data
  • DEM, Land/Water mask

10
Global Composite Map of Nadir BRDF-Adjusted
Reflectance (NBAR) April 722 2001
no data
True color, MODIS Bands 2, 4, 3
10 km resolution, Hammer-Aitoff
projection, produced by MODIS BRDF/Albedo Team
MODLAND/Strahler et al.
11
MODIS Nadir BRDF-Adjusted Reflectance
May 25June 9 2001 False Color Image NIRRedGreen
12
NBAR Time Trajectories
13
MODIS 500 m Vegetation Indices
(September 30 October 15, 2000
NDVI
MOD13A1 16 day Composite
EVI
MODLAND/Huete et al
14
Test Sites
  • IGBP-DIS Core/Confidence Sites
  • Random stratified sampling of classes on 1992-93
    IGBP Global Land Cover Product
  • 425 sites identified 413 SPOT and TM scenes
    acquired 91 migrated to WWW by BU
  • BU STEP Database
  • 2614 training sites from 645 TM scenes (6/6/00)
  • About 1000 training sites in current use for
    supervised classification

15
DISCover Core Validation Sites
16
Supplemental BU Training Sites
17
STEP Database
  • STEP
  • System for Terrestrial Ecosystem Parameterization
  • Key STEP Parameters
  • Life form, height, cover fraction, of layers
  • Leaf type, phenology, periodicity, physiognomy of
    dominants in layers
  • Elevation, moisture regime, perturbation
  • Classifications IGBP, BU, EDC SLCRs
  • Simple description of site and type (words)
  • STEP Flexibility
  • Allows application of many different land cover
    labeling schemes by inference of label from
    parameters in database

18
MODLand Support Products
  • Six Biomes for LAI / FPAR Algorithm
  • Used by Ranga Mynenis radiative transfer model
    in retrieving LAI and FPAR
  • Six Biomes for Net Primary Productivity (NPP)
  • Used by Steve Runnings Biome-BGC model in making
    the MODIS NPP product
  • Fourteen ClassesUniversity of Maryland Legend
  • We also provide a 14-class product using the
    University of Maryland scheme
  • Preferred by some modelers

19
Provisional Land Cover Product June 01
20
Northeast Provisional Land Cover Product, Jul
00Jan 01
Evergreen Needleleaf Forest
Mixed Forest
Agriculture/Natural Vegetation Mosaic
Agriculture
Urban
Deciduous Broadleaf Forest
21
Second Most-Likely Class
Classification Confidence Map
22
Land Cover Validation
  • Statistical Assessment Based on Site Data
  • Cross-validation provides probability estimate
    for errors of omission/commission
  • Two sets of site data
  • DISCover Core/Confidence sitesRandom stratified
    sample based on DISCover Land Cover map (Loveland
    et al., EDC)
  • Supplemental sites compiled at BUno explicit
    sampling design, but large N

23
Validation Accuracy Assessment
  • Classification Accuracy from Cross-Validation of
    Training Sites
  • Hide 20 percent of training sites, classify with
    remaining 80 percent repeat five times for five
    unique sets of all sites
  • Provides confusion matrix
  • Not a stratified random sample, but a good
    within-class indication of accuracy

24
Confusion Matrix
  • Global Test Site Confusion MatrixProvisional
    Product

25
Per-Pixel Confidence Output
  • Per-pixel Confidence
  • Based on statistical boosting theory
  • Allows decision-tree classifier to estimate
    probability of classification associated with
    each possible class label
  • Output for label with highest probability for
    each pixel

26
Validation Other Datasets
  • Comparison with Community Benchmark Datasets
  • Global (e.g., DISCover, UMd from AVHRR)
  • Comparison with independent maps derived from
    high resolution data, e.g.,
  • Humid Tropics Landsat Pathfinder
  • Forest Cover FAO Forest Resources Assessment
  • Western Europe CORINE
  • United States USGS/EPA MLRC
  • United States California Timber Maps (McIver and
    Woodcock)

27
Validation Comparisons
  • Collaborative Comparisons
  • BigFoot sites
  • MODLand Test Sites

28
BigFoot Results
Reprojection of BigFoot UTM maps to ISIN
29
Conclusions
  • MODIS Land Cover Product
  • Draws on AVHRR heritage
  • Utilizes improved data and techniques
  • Top-down, globally-consistent approach
  • Validation plan emphasizes multiple approaches to
    build confidence
  • Validated product to be released about 15 April
    2002 based on 2001 data
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