
- Dataset Availability
- 2009-01-01T00:00:00Z–2022-01-01T00:00:00
- Dataset Provider
- Agriculture and Agri-Food Canada
- Earth Engine Snippet
-
ee.ImageCollection("AAFC/ACI")
Sign up for Earth Engine
Earth Engine is free to use for research, education, and nonprofit use.
To access this dataset in Earth Engine, please sign up for Earth Engine then return to this page.
- 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
Resolution
30 meters
Bands
Name | Min | Max | Description |
---|---|---|---|
landcover |
1 | 255 | 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
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');