-
カナダ AAFC 年次作物在庫
2009 年から、カナダ農業食品省(AAFC)科学技術局(STB)の地球観測チームは、年間作物の種類のデジタル地図の生成プロセスを開始しました。2009 年と 2010 年にプレーリー州に焦点を当てた、意思決定ツリー(DT)ベースの手法 agriculture canada crop landcover -
カナダの数値地形モデル
カナダデジタル地形モデル(CDEM)は、カナダ天然資源省(NRCan)の高度測定システムの一部であり、既存のカナダデジタル地形データ(CDED)から派生しています。これらのデータでは、標高は地面または反射面の標高のいずれかです。CDEM は、次のような複数の DEM で構成されています。 カナダ DEM 標高 標高 - 地形 geophysical 地形 -
カナダの 2019 年の Landsat 由来の森林年齢
カナダの原生林データセットは、カナダの森林生態系にわたる 2019 年の森林年齢を衛星ベースで 30 m の空間分解能で示した地図です。年齢の決定には、Landsat からのリモートセンシング データ(撹乱、地表反射率の合成画像、森林構造)と MODIS(総一次生産量)が使用されます。森林の年齢は次のとおりです。 カナダ 森林 森林バイオマス
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) |"]]