Richard Massey Dr Teki Sankey Crop type mapping for the US at 250m Crop type maps for the US for 20082014 We used two approaches Yearspecific and Temporal average Validation Pixeltopixel comparison with USDA CDL ID: 780593
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Slide1
North American Croplands
Richard Massey
Dr
Teki
Sankey
Slide2Crop type mapping for the US at 250m
Crop type maps for the US for 2008-2014 We used two approaches: Year-specific and Temporal average
Validation:
Pixel-to-pixel comparison with USDA CDL
Independent accuracy assessment using validation samples derived from USDA CDL
Slide3Comparison between USDA CDL and cropland products for 2008
USDA CDL
Cropland extent
Crop type classification using year specific approach
Crop type classification using temporal average approach
Slide4Year-specific approach for 2008: Producer’s and User’s accuracies of major cropland categories
Total cropland area
Area of major
crops
CORN-SOYBEAN
WHEAT-BARLEY
ALFALFA
OTHER-CROP
FALLOW
Producer's
AccUser's AccProducer's AccUser's AccProducer's AccUser's AccProducer's AccUser's AccProducer's AccUser's AccAEZ Mha%%%%%%%%%%%AEZ 20.5 96a n/abn/a70.271.791.671.372.468.985.299.4AEZ 33.988n/an/a87.581.885.085.0n/an/a73.591.7AEZ 412.38079.878.079.875.770.391.0n/an/a70.565.5AEZ 512.68084.185.387.774.5n/an/an/an/a63.478.1AEZ 613.88390.284.884.578.4n/an/an/an/an/an/aAEZ 711.18490.982.888.779.7n/an/an/an/an/an/aAEZ 811.88692.986.380.774.5n/an/an/an/an/an/aAEZ 913.18585.985.776.193.1n/an/a79.369.7n/an/aAEZ 1022.08689.474.9n/an/an/an/an/an/an/an/aAEZ 116.68690.281.3n/an/an/an/a81.277.9n/an/aAEZ 121.27086.280.8n/an/an/an/a75.277.6n/an/aAEZ 130.18892.8100.0n/an/an/an/a90.697.7n/an/a
Note:
These accuracies are derived from independent accuracy assessment
a = indicates 96% of 0.5
Mha
of croplands in AEZ2 are major crops: (a) Wheat-Barley, (b) Alfalfa, (c ) Other crops, and (d) Fallow
b = indicates non-major crops
Slide5Spatial distribution of overall accuracies for 2008
Crop type classification using year specific approach
Crop type classification using temporal average approach
Accuracy map for temporal average approach derived using pixel-to-pixel comparison
Accuracy map for year specific approach derived using pixel-to-pixel comparison
Slide6Crop type mapping for Canada at 250m
Preprocessing:
MODIS MOD09Q1 data for 2009-2015
NDVI time-series stack for each year
Reference layer:
Agriculture
and
Agri
-Food
Canada
(AAFC)
or Ag-Canada crop layer for 2009-2015Cropland extent: Union overlay of AAFC crop layer for 2009-2015Sub-zones: Cropland extent divided in 4 AEZ (AEZ 7-10)2-3 sub-zones in each AEZSamples: Training/Validation samples for each sub-zone from center of fieldsFuture work: NDVI spectral samples and supervised classificationAAFC crop layer for 2012
Slide7Crop type mapping at 30mConstruction of high spatial and temporal resolution time-series data using Landsat-MODIS data fusion (
e.g STARFM)NDVI time-series and spectral samples analysis and selection for each AEZ
Extraction of image objects using image segmentation
Decision tree classification of image objects based on spectra and NDVI time series
Slide8Moving ForwardAccuracy assessment for year-specific and temporal-average classifications of
2008, 2010, 2011, and 2012Year-Specific and Temporal average algorithm for crop type mapping in Canada at 250m
Crop type mapping in
C
entral America at 250m
Crop type mapping for the US at 30m using Landsat and MODIS time-series
Slide9Thank you