本文主要是介绍GEE数据集——1986年—2022年加拿大全国烧毁面积综合数据 (NBAC)，希望对大家解决编程问题提供一定的参考价值，需要的开发者们随着小编来一起学习吧！
简介
加拿大全国烧毁面积综合数据 (NBAC)¶
全国烧毁面积综合数据 (NBAC) 是一个地理信息系统数据库和系统，用于计算自 1986 年以来每年全国范围内烧毁的森林面积。这些数据用于帮助估算加拿大的碳排放量。烧毁面积是通过评估一系列可用数据源确定的，这些数据源使用不同的技术绘制任何特定火灾的地图。该系统为每个烧毁地区选择最佳可用数据源，并建立一个全国综合图。
NBAC 是火灾监测、核算和报告系统（FireMARS）的一部分，该系统由加拿大自然资源部加拿大测绘与地球观测中心（前身为加拿大遥感中心）和加拿大林业局联合开发。火灾监测和报告系统最初是在加拿大航天局政府相关倡议计划的资助下，由火灾研究、森林碳核算和遥感方面的人员合作开发的。
NBAC 的数据来自- 加拿大自然资源部，以及 - 加拿大省级、地区级和公园机构。
NBAC 可用于景观尺度火灾影响的空间和时间分析。您可以在此处下载数据集
补充信息
NBAC 是 FireMARS 系统自 1986 年以来每年编制的国家产品，该系统跟踪森林火灾，用于年度碳排放估算，并帮助识别可能受到火灾干扰的国家森林资源调查地块。更多信息请参见 FireMARS 网站 (http://www.nrcan.gc.ca/forests/fire/13159) 和碳核算-干扰监测网站 (http://www.nrcan.gc.ca/forests/climate-change/13109)。
在使用这些数据进行制图活动和分析、研究、评估或展示时，请使用以下引文注明来源：
加拿大林务局。国家燃烧区综合数据 (NBAC)。加拿大自然资源部，加拿大林业局，北部林业中心，艾伯塔省埃德蒙顿。https://cwfis.cfs.nrcan.gc.ca/。
像素产品的详细信息
像素产品由 5 个文件组成：
JD.tif：烧毁区域的首次探测日
CL.tif：烧毁区域检测的置信度
BA.tif：烧毁面积，与计算出的烧毁像素比例相对应。
OB.tif：观测次数，即该月观测到该像元的次数。
xml：产品的元数据
像素属性汇总
| Attribute | Units | Data Type | Notes |
|---|---|---|---|
| Date of the first detection (JD) | Day of the year (1-366) | Float | - 0: Not burned - 1-366: Day of first detection for burned pixel - -1: Not observed in month - -2: Not burnable (water, bare land, urban, snow/ice) |
| Confidence level (CL) | 0-100 | Float | - 0: Low burn probability - 1-100: Increasing burn probability confidence - -1: Not observed in month - -2: Not burnable (water, bare land, urban, snow/ice) |
| Burned Area (BA) | Square meters | Float | - 0-N: Burned area within pixel cell - -1: Not observed in month - -2: Not burnable (water, bare land, urban, snow/ice) |
| Number of observations (OB) | 0-31 | Int16 | - 0-31: No-cloud observations in pixel - 0: Not observed - -2: Not burnable (water, bare land, urban, snow/ice) |
代码
var nbac_raster8622 = ee.Image("projects/sat-io/open-datasets/CA_FOREST/NBAC/NBAC_MRB_1986_to_2022");
var nbac8622 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/nbac_1986_to_2022_20230630");
var nbac_1986_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1986_r9_20210810");
var nbac_1987_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1987_r9_20210810");
var nbac_1988_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1988_r9_20210810");
var nbac_1989_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1989_r9_20210810");
var nbac_1990_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1990_r9_20210810");
var nbac_1991_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1991_r9_20210810");
var nbac_1992_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1992_r9_20210810");
var nbac_1993_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1993_r9_20210810");
var nbac_1994_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1994_r9_20210810");
var nbac_1995_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1995_r9_20210810");
var nbac_1996_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1996_r9_20210810");
var nbac_1997_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1997_r9_20210810");
var nbac_1998_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1998_r9_20210810");
var nbac_1999_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_1999_r9_20210810");
var nbac_2000_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2000_r9_20210810");
var nbac_2001_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2001_r9_20210810");
var nbac_2002_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2002_r9_20210810");
var nbac_2003_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2003_r9_20210810");
var nbac_2004_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2004_r9_20210810");
var nbac_2005_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2005_r9_20210810");
var nbac_2006_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2006_r9_20210810");
var nbac_2007_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2007_r9_20210810");
var nbac_2008_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2008_r9_20210810");
var nbac_2009_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2009_r9_20210810");
var nbac_2010_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2010_r9_20210810");
var nbac_2011_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2011_r9_20210810");
var nbac_2012_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2012_r9_20210810");
var nbac_2013_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2013_r9_20210810");
var nbac_2014_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2014_r9_20210810");
var nbac_2015_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2015_r9_20210810");
var nbac_2016_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2016_r9_20210810");
var nbac_2017_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2017_r9_20210810");
var nbac_2018_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2018_r9_20210810");
var nbac_2019_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2019_r9_20210810");
var nbac_2020_r9_20210810 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2020_r9_20210810");
var nbac_2021_r9_20220624 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2021_r9_20220624");
var nbac_2022_r12_20230630 = ee.FeatureCollection("projects/sat-io/open-datasets/CA_FOREST/NBAC/YEARLY/nbac_2022_r12_20230630");//Setup basemaps
var snazzy = require("users/aazuspan/snazzy:styles");
snazzy.addStyle("https://snazzymaps.com/style/132/light-gray", "Grayscale");var palette = ['#1f77b4', '#ff7f0e', '#2ca02c', '#d62728', '#9467bd', '#8c564b','#e377c2', '#7f7f7f', '#bcbd22', '#17becf', '#aec7e8', '#ffbb78','#98df8a', '#ff9896', '#c5b0d5', '#c49c94', '#f7b6d2', '#c7c7c7','#dbdb8d', '#9edae5', '#393b79', '#637939', '#8c6d31', '#843c39','#7b4173', '#5254a3', '#637939', '#8c6d31', '#bd9e39', '#8c6d31','#bd9e39', '#8c6d31', '#bd9e39', '#8c6d31', '#bd9e39', '#8c6d31'
];//Center the object
Map.setCenter(-97.31,56.71,4)Map.addLayer(nbac_raster8622,{min:1986,max:2022,palette:palette},'National Burned Area Raster Composite 1986-2022')
Map.addLayer(nbac8622,{},'National Burned Area Composite 1986-2022',false)
数据引用
Skakun, R.; Castilla, G.; Metsaranta, J.; Whitman, E.; Rodrigue, S.; Little, J.; Groenewegen, K.; Coyle, M. (2022). Extending the National Burned Area Composite Time Series of Wildfires in Canada. Remote Sensing, 14, 3050. DOI: https://doi.org/10.3390/rs14133050 Skakun, R.S.; Whitman, E.; Little, J.M.; and Parisien, M.-A. (2021). Area burned adjustments to historical wildland fires in Canada. Environmental Research Letters 16 064014. DOI: https://doi.org/10.1088/1748-9326/abfb2c Hall, R.J.; Skakun, R.S.; Metsaranta, J.M.; Landry, R.; Fraser, R.H.; Raymond, D.A.; Gartrell, J.M.; Decker, V. and Little, J.M. (2020). Generating annual estimates of forest fire disturbance in Canada: the National Burned Area Composite. International Journal of Wildland Fire. 10.1071/WF19201. DOI: https://doi.org/10.1071/WF19201
代码链接
https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/CA-NATIONAL-BURNED-AREA-COMPOSITE
License¶
Open Government Licence - Canada (Open Government Licence - Canada | Open Government - Government of Canada). When using these data for mapping activities and analysis, research, evaluation or display, please acknowledged the source using the following citation: Canadian Forest Service. National Burned Area Composite (NBAC). Natural Resources Canada, Canadian Forest Service, Northern Forestry Centre, Edmonton, Alberta. Canadian Wildland Fire Information System / Système canadien d'information sur les feux de végétation.
Created by: Natural Resources Canada,Canadian Wildland Fire Information System
Curated in GEE by : Samapriya Roy
Keywords: canada,burned area,forestry,forest fire,wildfire
Last updated in GEE: 2024-04-02
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