GEE数据集：1984-2022 年间加拿大 6.5 亿公顷森林生态系统的年度优势树种（也称主要树种）地图

简介

数据集说明

空间信息

变量

代码

代码链接

下载链接

引用

许可

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0代码在线构建地图应用

机器学习

简介

加拿大长期树种（1984-2022 年）∥在该数据集中，我们利用空间分辨率为 30 米的 Landsat 时间序列图像，分享了 1984-2022 年间加拿大 6.5 亿公顷森林生态系统的年度优势树种（也称主要树种）地图。分类基于具有区域代表性的随机森林模型，使用的是来自加拿大国家森林资源清查的本地训练样本（Hermosilla 等人，2022 年）。描述性指标提供了光谱、地理、气候和地形特征方面的信息。最初的年度树种分类采用了前向-后向隐马尔科夫模型的时间序列后分类过程，以提高时间序列内树种过渡的时间一致性。使用独立验证数据对年度物种图进行评估后，总体准确率为 86.1% ± 0.14%（95% 置信区间）。通过这些数据，可以使用共同的时间框架、空间分辨率和分析方法，对全国和各地区的树种组成趋势和变化率进行一致的比较。

数据集说明

空间信息

数据集的后期处理¶ 数据集是以地球引擎文件夹的形式提供的，其中包含图像，并已转换为图像集，在图像集中的每张图像上都添加了开始和结束日期，以便过滤。

变量

代码

var ca_species_ts = ee.ImageCollection("projects/sat-io/open-datasets/CA_FOREST/SPECIES-1984-2022");
var species = ee.Image(ca_species_ts.filterDate('2022-01-01','2022-12-31').first())// Define a dictionary which will be used to make legend and visualize image on map
var dict = {"names": ["Non Tree", "Amabilis fir", "Balsam fir", "Subalpine fir", "Bigleaf maple", "Red maple","Sugar maple", "Gray alder", "Red alder", "Yellow birch", "White birch", "Yellow-cedar", "Black ash", "Tamarack", "Western larch", "Norway spruce", "Engelmann spruce","White spruce","Black spruce", "Red spruce", "Sitka spruce", "Whitebark pine", "Jack pine", "Lodgepole pine","Ponderosa pine", "Red pine", "Eastern white pine", "Balsam poplar", "Largetooth aspen","Trembling aspen", "Douglas-fir", "Red oak", "Eastern white-cedar", "Western redcedar", "Eastern hemlock", "Western hemlock", "Mountain hemlock", "White elm",],"colors": ["#000000", "#fef2ec", "#fff2c7", "#ffedb3", "#fdb462", "#fdbf6f", "#fca773", "#e3b9db", "#d6aad3", "#fb8069", "#fb9a85", "#ae027e", "#808080", "#e5b75a", "#e5c468", "#b3de53", "#f2fa8c", "#e6f47f", "#d9ef74", "#cce968", "#bfe35d", "#d9f1f7", "#bfe7f1", "#b3e2e3", "#99cee3", "#80c5dd", "#4eb3d3", "#68d094", "#66c092", "#33a97e", "#faa7c8", "#f668b2", "#e38776", "#e36f5c", "#bfc26b", "#a6b96c", "#8cb06c", "#99c2b5",]};//Map.setCenter(-97.61655457157725, 55.6280720462063, 4);
Map.centerObject(species, 4);var imgname = species.get('system:asset_id').getInfo()// Add image to the map
Map.addLayer(species.mask(species.neq(0)), {min:0, max:37, palette:dict['colors']}, imgname)///generate the legend
var legend = ui.Panel({style: {position: 'middle-right',padding: '8px 15px'}
});// Create and add the legend title.
var legendTitle = ui.Label({value: imgname,style: {fontWeight: 'bold',fontSize: '18px',margin: '0 0 4px 0',padding: '0'}
});
legend.add(legendTitle);var loading = ui.Label('Loading legend...', {margin: '2px 0 4px 0'});
legend.add(loading);// Creates and styles 1 row of the legend.var makeRow = function(color, imgname) {// Create the label that is actually the colored box.var colorBox = ui.Label({style: {backgroundColor: color,// Use padding to give the box height and width.padding: '8px',margin: '0 0 4px 0'}});// Create the label filled with the description text.var description = ui.Label({value: imgname,style: {margin: '0 0 4px 6px'}});return ui.Panel({widgets: [colorBox, description],layout: ui.Panel.Layout.Flow('horizontal')});
};var palette = dict['colors'];var names = dict['names'];loading.style().set('shown', false);for (var i = 0; i < names.length; i++) {legend.add(makeRow(palette[i], names[i]));}// Print the panel containing the legend
print(legend);var snazzy = require("users/aazuspan/snazzy:styles");
snazzy.addStyle("https://snazzymaps.com/style/131894/dark", "Dark");

代码链接

https://code.earthengine.google.com/?scriptPath=users%2Fsat-io%2Fawesome-gee-catalog-examples%3Aagriculture-vegetation-forestry%2FCA-SPECIES-TIME-SERIES

下载链接

National Terrestrial Ecosystem Monitoring System for Canada

引用

Hermosilla, T., Wulder, M.A., White, J.C., Coops, N.C., Bater, C.W., Hobart, G.W., 2024. Characterizing long-term tree species dynamics in Canada's forested ecosystems using annual time series remote sensing data. Forest Ecology and Management 572, 122313. https://doi.org/10.1016/j.foreco.2024.122313 (Hermosilla et al. 2024)

许可

本作品采用加拿大开放式政府许可协议（Open Government License - Canada）进行许可，并向公众免费开放。创作者：Hermosilla et al： Hermosilla et al： Spencer Bronson & Samapriya Roy 关键词陆地卫星时间序列分析土地覆被土地覆被变化森林演替优势物种最后更新时间 :2024-10-15