简介
欧空局火灾扰动气候变化倡议（CCI）
欧空局火灾扰动气候变化倡议（CCI）项目通过卫星观测绘制了全球烧毁面积地图。这里介绍的 AVHRR - LTDR Pixel v1.1 产品包含全球烧毁面积的网格数据，这些数据来自美国国家航空航天局制作的 AVHRR（高级甚高分辨率辐射计）陆地长期数据记录 (LTDR) v5 数据集的光谱信息。
该数据集以 0.05 度的空间分辨率（AVHRR-LTDR 输入数据的分辨率）提供了从 1982 年到 2018 年全球焚烧面积的月度信息。由于 1994 年的输入数据不足，因此省略了这一年。数据集以月度 GeoTIFF 文件格式发布，打包成年度 tar.gz 文件，其中包括 5 个文件：BA 检测日期（标注为 JD）、置信度标签（CL）、每个像素的烧毁面积（BA）、当月观测次数（OB）和一个元数据文件。有关产品及其格式的详细信息，请参阅《产品用户指南》。您可以从以下链接下载数据集
该 BA 产品的空间分辨率为 0.05 度，与 AVHRR-LTDR 输入数据的分辨率相同。
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 BA = ee.ImageCollection("projects/sat-io/open-datasets/ESA/AVHRR-LTDR/BA"),
CL = ee.ImageCollection("projects/sat-io/open-datasets/ESA/AVHRR-LTDR/CL"),
JD = ee.ImageCollection("projects/sat-io/open-datasets/ESA/AVHRR-LTDR/JD"),
OB = ee.ImageCollection("projects/sat-io/open-datasets/ESA/AVHRR-LTDR/OB");
//Setup basemaps
var snazzy = require("users/aazuspan/snazzy:styles");
snazzy.addStyle("https://snazzymaps.com/style/132/light-gray", "Grayscale");
/*
| 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) |
*/
var BA_mosaic = BA.filterDate('2018-01-01','2018-12-31').mosaic()
var CL_mosaic = CL.filterDate('2018-01-01','2018-12-31').mosaic()
var OB_mosaic = OB.filterDate('2018-01-01','2018-12-31').mosaic()
var JD_mosaic = JD.filterDate('2018-01-01','2018-12-31').mosaic()
// Define color palettes
var BA_palette = ['#f07167','#fed9b7','#fdfcdc','#00afb9','#0081a7'];
var CL_palette = ['blue', 'green', 'yellow', 'orange', 'red'];
var OB_palette = ['#7f3b08','#b35806','#e08214','#fdb863','#fee0b6','#f7f7f7','#d8daeb','#b2abd2','#8073ac','#542788','#2d004b'];
var JD_palette = ['#9e0142','#d53e4f','#f46d43','#fdae61','#fee08b','#ffffbf','#e6f598','#abdda4','#66c2a5','#3288bd','#5e4fa2'];
// Add layers with color palettes
Map.addLayer(BA_mosaic.updateMask(BA_mosaic.gte(0)), {min: 0, max: 15000, palette: BA_palette}, 'Burned Area (BA)');
Map.addLayer(CL_mosaic.updateMask(CL_mosaic.gte(0)), {min: 0, max: 100, palette: CL_palette}, 'Confidence Level (CL)');
Map.addLayer(OB_mosaic.updateMask(OB_mosaic.gte(0)), {min: 0, max: 31, palette: OB_palette}, 'Number of observations (OB)');
Map.addLayer(JD_mosaic.updateMask(JD_mosaic.gte(0)), {min: 0, max: 366, palette: JD_palette}, 'Date of the first detection (JD)');
数据引用
Chuvieco, E.; Pettinari, M.L.; Otón, G. (2020): ESA Fire Climate Change Initiative (Fire_cci): AVHRR-LTDR Burned Area Pixel product, version 1.1.Centre for Environmental Data Analysis, 21 December 2020. doi:10.5285/b1bd715112ca43ab948226d11d72b85e. https://dx.doi.org/10.5285/b1bd715112ca43ab948226d11d72b85e
代码链接
https://code.earthengine.google.com/?scriptPath=users/sat-io/awesome-gee-catalog-examples:fire-monitoring-analysis/ESA-FIRE-DISTURBANCE-CCI
License¶
herehttp://licences.ceda.ac.uk/image/data_access_condition/esacci_fire_terms_and_conditions.pdf
Created by: Chuvieco, E.; Pettinari, M.L.; Otón, G, ESA
Curated in GEE by : Samapriya Roy
keywords: ESA, CCI, Pixel, Burned Area, Fire Disturbance, Climate Change, GCOS Essential Climate Variable
Last modified: 2020-12-21
Last updated on GEE: 2024-04-01
网址推荐
0代码在线构建地图应用
https://sso.mapmost.com/#/login?source_inviter=nClSZANO
机器学习
https://www.cbedai.net/xg
【版权声明】本文为华为云社区用户原创内容，转载时必须标注文章的来源（华为云社区）、文章链接、文章作者等基本信息， 否则作者和本社区有权追究责任。如果您发现本社区中有涉嫌抄袭的内容，欢迎发送邮件进行举报，并提供相关证据，一经查实，本社区将立刻删除涉嫌侵权内容，举报邮箱：
cloudbbs@huaweicloud.com
评论（0）