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).

从 2009 年开始，加拿大农业和农业食品部 (AAFC) 科技部 (STB) 的地球观测团队开始了生成一年生作物类型数字地图的过程。 2009 年和 2010 年以草原省份为重点，使用基于光学（Landsat-5、AWiFS、DMC）和雷达（Radarsat-2）的卫星图像应用了基于决策树 (DT) 的方法。从 2011 年的生长季节开始，这项活动已扩展到其他省份，以支持国家作物清单。迄今为止，这种方法可以始终如一地提供在最终空间分辨率为 30m（2009 年和 2010 年为 56m）时满足至少 85% 总体目标精度的作物清单。

Resolution

30 meters

Bands Table

Class Table: landcover

 影像属性：

引用：

Dataset Availability

2009-01-01T00:00:00 - 2019-01-01T00:00:00

Dataset Provider

​​Agriculture and Agri-Food Canada​​

Collection Snippet

​​ee.ImageCollection("AAFC/ACI")​​

Agriculture and Agri-Food Canada Annual Crop Inventory. {YEAR} 

数据代码：

var dataset = ee.ImageCollection('AAFC/ACI');
var crop2016 = dataset
    .filter(ee.Filter.date('2016-01-01', '2016-12-31'))
    .first();
Map.setCenter(-103.8881, 53.0371, 10);
Map.addLayer(crop2016);

 有需要研究加拿大农业生态的同学可以拿走！