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MODIS/Terra+Aqua Burned Area (Burned Area) at Quebec Laurentides

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BandDescriptionData BandsQuality Filtered and ScaledSummary Data
Burn_Dateordinal day of burn csv json csv jsoncsv json
Burn_Date_Uncertaintyuncertainty in day of burn csv json
First_Dayfirst day of reliable change detection csv json
Last_Daylast day of reliable change detection csv json
QAquality assurance indicators csv json
All Bandscsv jsoncsv jsoncsv json

See File Formats documentation for details. Pixel Numbering Scheme

ProductMODIS/Terra+Aqua Burned Area (Burned Area)
CoordinatesLatitude: 45.9881, Longitude: -74.0055 (WGS84 datum)
Areal ExtentApproximately 8.5 km [17 Pixels] Wide x 8.5 km [17 Pixels] High
Subset Date Range2000-11-01 (2000306) to 2026-01-01 (2026001)
Site IDca_quebec_laurentides
Quality Control ConditionsAs Specified by Science Team (See QC Details tab)

Cite the Fixed Sites Subsets Tool [1] and the subset product [2] with the following citations. You may also download BibTeX citation

[1] ORNL DAAC. 2018. Fixed Sites Subsetting and Visualization Tool. ORNL DAAC, Oak Ridge, Tennessee, USA. Accessed April 03, 2026. Subset obtained for MCD64A1 product at site id 'ca_quebec_laurentides'. https://doi.org/10.3334/ORNLDAAC/1567

[2] L. Giglio, C. Justice, L. Boschetti, D. Roy. 2021. MCD64A1 MODIS/Terra+Aqua Burned Area Monthly L3 Global 500m SIN Grid V061. NASA EOSDIS Land Processes DAAC. https://doi.org/10.5067/MODIS/MCD64A1.061

Location Details

Latitude [45.9881] Longitude [-74.0055]: Horizontal Tile [12] Vertical Tile [04] Sample [1029] Line [481]

Subset area boundarySubset area boundary
Corner Coordinates
Northwest Corner Latitude,Longitude: 46.023500 N, 74.103862 WNortheast Corner Latitude,Longitude: 46.023500 N, 74.00185 W
Southwest Corner Latitude,Longitude: 45.952667 N, 74.009094 WSoutheast Corner Latitude,Longitude: 45.952667 N, 73.907213 W
  • QC Filter Conditions
  • QC explanation for MODIS/Terra+Aqua Burned Area (Burned_Area_QC)
  • QC bit word numbering (0,1,2,3,4,5,6,....n):(n=7 or 15 or 31)
Filter ClassBitsBinaryQA-bitsValue
(Bin)		Value
(Int)		Bands
applied		QC bandDescriptionDisplay
unburned_cells8yes0-2111224allQApersistent hot spotSupressed
unburned_cells8yes0-2100128allQAapparent water contaminationSupressed
unburned_cells8yes0-201198allQAapparent burn date at limits of time seriesPresented
unburned_cells8yes0-201064allQAtoo few training observationsSupressed
unburned_cells8yes0-200132allQAvalid observations sparsePresented
unburned_cells8yes0-20000allQAspecial condition nonePresented
mapping_period8yes514allQAshortened mapping period, trueSupressed
mapping_period8yes500allQAshortened mapping period, falsePresented

Timeseries View

MCD64A1 / Burn_Date (All acceptable pixels)

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Includes all pixels that have acceptable quality

Gridded View



Additional Information

MODIS Landcover IGBP Classification Scheme (Type_1 MCD12Q1)

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BandDescriptionData Bands
LC_Type1Land Cover Type 1: Annual International Geosphere-Biosphere Programme (IGBP) classification csv json

Shannon Diversity Components: Richness= Evenness=

User Guide for the MODIS Land Cover Type Product (MCD12Q1)PDF

MODIS Phenology time series (MCD12Q2)

Phenology region for user selected area 8.5 km wide x 8.5 km high

Cycle 1

Cycle 2
  • Greenup: Average date of the greenup (date when EVI2 first crossed 15% of amplitude) in the subset area
  • MidGreenup: Average date of the mid greenup (date when EVI2 first crossed 50% of amplitude) in the subset area
  • Maturity: Average date of the maturity (date when EVI2 first crossed 90% of amplitude) in the subset area
  • Peak: Average date of the peak (date when EVI2 reached maximum amplitude) in the subset area
  • Senescence: Average date of the senescence (date when EVI2 last crossed 90% of amplitude) in the subset area
  • MidGreendown: Average date of the mid greendown (date when EVI2 last crossed 50% of amplitude) in the subset area
  • Dormancy: Average date of the dormancy (date when EVI2 last crossed 15% of amplitude) in the subset area

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ProductData Bands
MCD12Q2.061 csv json

User Guide for the MODIS Land Cover Dynamics Product (MCD12Q2)PDF

Resources

Create statistics plots in R
Visualize the data from the 'Downloads' section above as informative plots in R. Using the provided scripts, different statistical plots can be easily generated, such as plots of mean monthly values or mean yearly values, frequency histograms, time series plots with years stacked, etc.