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加拿大 AAFC 年度作物目录
从 2009 年开始,加拿大农业和食品部 (AAFC) 科学与技术局 (STB) 的地球观测团队开始生成年度作物类型数字地图。该研究以 2009 年和 2010 年加拿大草原省为重点,采用基于决策树 (DT) 的方法… 农业 加拿大 作物 土地覆盖类型 -
加拿大数字海拔模型
加拿大数字地形模型 (CDEM) 是加拿大自然资源部 (NRCan) 海拔测量系统的一部分,源自现有的加拿大数字地形数据 (CDED)。在这些数据中,海拔可以是地面海拔或反射表面海拔。CDEM 由多个 DEM 组成,具有以下特点: canada dem elevation elevation-topography geophysical topography -
2019 年加拿大的 Landsat 派生森林年龄
“加拿大主要森林数据集”是基于卫星数据绘制的 2019 年加拿大森林生态区的森林年龄地图,空间分辨率为 30 米。我们利用 Landsat 遥感数据(干扰、地表反射率复合图、森林结构)和 MODIS(总初级生产力)数据来确定树龄。森林年龄可以是… 加拿大 森林 森林生物量
Datasets tagged canada in Earth Engine
[null,null,[],[[["\u003cp\u003eAgriculture and Agri-Food Canada (AAFC) provides annual crop type maps focusing on the Canadian Prairie Provinces.\u003c/p\u003e\n"],["\u003cp\u003eA satellite-based forest age map for Canada is available, utilizing Landsat and MODIS data for a 30-m resolution view of forested ecozones.\u003c/p\u003e\n"],["\u003cp\u003eThe Canadian Digital Elevation Model (CDEM) offers elevation data, encompassing both ground and reflective surface measurements.\u003c/p\u003e\n"]]],["Agriculture and Agri-Food Canada (AAFC) initiated annual crop type mapping in 2009, starting with the Prairie Provinces, using a Decision Tree methodology. A 2019 satellite-based forest age map of Canada was created utilizing Landsat and MODIS data at a 30-meter resolution. Natural Resources Canada's (NRCan) Canadian Digital Elevation Model (CDEM), part of the altimetry system, provides elevation data comprising multiple Digital Elevation Models (DEMs).\n"],null,["# Datasets tagged canada in Earth Engine\n\n-\n\n |--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Canada AAFC Annual Crop Inventory](/earth-engine/datasets/catalog/AAFC_ACI) |\n | 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 ... |\n | [agriculture](/earth-engine/datasets/tags/agriculture) [canada](/earth-engine/datasets/tags/canada) [crop](/earth-engine/datasets/tags/crop) [landcover](/earth-engine/datasets/tags/landcover) |\n\n-\n\n |-----------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Canadian Digital Elevation Model](/earth-engine/datasets/catalog/NRCan_CDEM) |\n | The Canadian Digital Elevation Model (CDEM) is part of Natural Resources Canada's (NRCan) altimetry system and stems from the existing Canadian Digital Elevation Data (CDED). In these data, elevations can be either ground or reflective surface elevations. The CDEM is comprised of multiple DEMs with ... |\n | [canada](/earth-engine/datasets/tags/canada) [dem](/earth-engine/datasets/tags/dem) [elevation](/earth-engine/datasets/tags/elevation) [elevation-topography](/earth-engine/datasets/tags/elevation-topography) [geophysical](/earth-engine/datasets/tags/geophysical) [topography](/earth-engine/datasets/tags/topography) |\n\n-\n\n |-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|\n | [### Landsat-derived forest age for Canada 2019](/earth-engine/datasets/catalog/CANADA_NFIS_NTEMS_CA_FOREST_AGE) |\n | Canadian primary forest dataset is a satellite-based forest age map for 2019 across Canada's forested ecozones at a 30-m spatial resolution. Remotely-sensed data from Landsat (disturbances, surface reflectance composites, forest structure) and MODIS (Gross Primary Production) are utilized to determine age. Forest age can be ... |\n | [canada](/earth-engine/datasets/tags/canada) [forest](/earth-engine/datasets/tags/forest) [forest-biomass](/earth-engine/datasets/tags/forest-biomass) |"]]