AI-generated Key Takeaways
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The dataset contains annual crop type digital maps for Canada generated by Agriculture and Agri-Food Canada (AAFC) starting in 2009.
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A Decision Tree (DT) methodology is applied using optical and radar satellite images to create the crop inventory.
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The inventory aims for an overall accuracy of at least 85% with a spatial resolution of 30m (56m in 2009 and 2010).
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The dataset includes a single band representing main crop-specific land cover classification with a detailed class table.
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This dataset is available for use under the OGL-Canada-2.0 license and can be explored using Google Earth Engine.
- Dataset Availability
- 2009-01-01T00:00:00Z–2023-01-01T00:00:00Z
- Dataset Provider
- Agriculture and Agri-Food Canada
- Cadence
- 1 Year
- Tags
Description
Starting in 2009, the Earth Observation Team of the Science and Technology Branch (STB) at Agriculture and Agri-Food Canada (AAFC) began the process of generating annual crop type digital maps. Focusing on the Prairie Provinces in 2009 and 2010, a Decision Tree (DT) based methodology was applied using optical (Landsat-5, AWiFS, DMC) and radar (Radarsat-2) based satellite images. Beginning with the 2011 growing season, this activity has been extended to other provinces in support of a national crop inventory. To date this approach can consistently deliver a crop inventory that meets the overall target accuracy of at least 85% at a final spatial resolution of 30m (56m in 2009 and 2010).
Bands
Pixel Size 30 meters
Bands
| Name | Min | Max | Pixel Size | Description |
|---|---|---|---|---|
landcover
|
1 | 255 | meters | Main crop-specific land cover classification. |
landcover Class Table
| Value | Color | Description |
|---|---|---|
|
10
|
#000000 | Cloud |
|
20
|
#3333ff | Water |
|
30
|
#996666 | Exposed Land and Barren |
|
34
|
#cc6699 | Urban and Developed |
|
35
|
#e1e1e1 | Greenhouses |
|
50
|
#ffff00 | Shrubland |
|
80
|
#993399 | Wetland |
|
85
|
#501b50 | Peatland |
|
110
|
#cccc00 | Grassland |
|
120
|
#cc6600 | Agriculture (undifferentiated) |
|
122
|
#ffcc33 | Pasture and Forages |
|
130
|
#7899f6 | Too Wet to be Seeded |
|
131
|
#ff9900 | Fallow |
|
132
|
#660000 | Cereals |
|
133
|
#dae31d | Barley |
|
134
|
#d6cc00 | Other Grains |
|
135
|
#d2db25 | Millet |
|
136
|
#d1d52b | Oats |
|
137
|
#cace32 | Rye |
|
138
|
#c3c63a | Spelt |
|
139
|
#b9bc44 | Triticale |
|
140
|
#a7b34d | Wheat |
|
141
|
#b9c64e | Switchgrass |
|
142
|
#999900 | Sorghum |
|
143
|
#e9e2b1 | Quinoa |
|
145
|
#92a55b | Winter Wheat |
|
146
|
#809769 | Spring Wheat |
|
147
|
#ffff99 | Corn |
|
148
|
#98887c | Tobacco |
|
149
|
#799b93 | Ginseng |
|
150
|
#5ea263 | Oilseeds |
|
151
|
#52ae77 | Borage |
|
152
|
#41bf7a | Camelina |
|
153
|
#d6ff70 | Canola and Rapeseed |
|
154
|
#8c8cff | Flaxseed |
|
155
|
#d6cc00 | Mustard |
|
156
|
#ff7f00 | Safflower |
|
157
|
#315491 | Sunflower |
|
158
|
#cc9933 | Soybeans |
|
160
|
#896e43 | Pulses |
|
161
|
#996633 | Other Pulses |
|
162
|
#8f6c3d | Peas |
|
163
|
#b6a472 | Chickpeas |
|
167
|
#82654a | Beans |
|
168
|
#a39069 | Fababeans |
|
174
|
#b85900 | Lentils |
|
175
|
#b74b15 | Vegetables |
|
176
|
#ff8a8a | Tomatoes |
|
177
|
#ffcccc | Potatoes |
|
178
|
#6f55ca | Sugarbeets |
|
179
|
#ffccff | Other Vegetables |
|
180
|
#dc5424 | Fruits |
|
181
|
#d05a30 | Berries |
|
182
|
#d20000 | Blueberry |
|
183
|
#cc0000 | Cranberry |
|
185
|
#dc3200 | Other Berry |
|
188
|
#ff6666 | Orchards |
|
189
|
#c5453b | Other Fruits |
|
190
|
#7442bd | Vineyards |
|
191
|
#ffcccc | Hops |
|
192
|
#b5fb05 | Sod |
|
193
|
#ccff05 | Herbs |
|
194
|
#07f98c | Nursery |
|
195
|
#00ffcc | Buckwheat |
|
196
|
#cc33cc | Canaryseed |
|
197
|
#8e7672 | Hemp |
|
198
|
#b1954f | Vetch |
|
199
|
#749a66 | Other Crops |
|
200
|
#009900 | Forest (undifferentiated) |
|
210
|
#006600 | Coniferous |
|
220
|
#00cc00 | Broadleaf |
|
230
|
#cc9900 | Mixedwood |
Image Properties
Image Properties
| Name | Type | Description |
|---|---|---|
|
landcover_class_names
|
STRING_LIST | Array of cropland landcover classification names. |
|
landcover_class_palette
|
STRING_LIST | Array of hex code color strings used for the classification palette. |
|
landcover_class_values
|
INT_LIST | Value of the land cover classification. |
Terms of Use
Terms of Use
Citations
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Agriculture and Agri-Food Canada Annual Crop Inventory. {YEAR}
Explore with Earth Engine
Code Editor (JavaScript)
var dataset = ee . ImageCollection ( 'AAFC/ACI' ); var crop2016 = dataset . filter ( ee . Filter . date ( '2016-01-01' , '2016-12-31' )) . first (); Map . setCenter ( - 103.8881 , 53.0372 , 10 ); Map . addLayer ( crop2016 , {}, '2016 Canada AAFC Annual Crop Inventory' );
