Google Earth Engine——WRI/GFW/FORMA/raw_output_firms数据集
NOTE from WRI: WRI decided to stop updating FORMA alerts. The goal was to simplify the Global Forest Watch user experience and reduce redundancy. We found that Terra-i and GLAD were more frequently used. Moreover, using GLAD as a standard, found that Terra-i outperformed FORMA globally.
FORMA alerts are detected using a combination of two MODIS products: NDVI (Normalized Difference Vegetation Index) and FIRMS (Fires Information for Resource Management System). NDVI updates are processed every 16 days, while fire updates are processed daily. Models are developed individually for each ecogroup to relate the two inputs to the area of clearing, using the Hansen annual tree cover loss data to train the model. The minimum threshold to qualify as an alert is 25% of the pixel cleared, though thresholds vary by ecogroup to minimize false positives. Here is an example script for a quick introduction to the FORMA datasets.
The images in this ImageCollection contain the raw FORMA data calculated after new MODIS FIRMS data becomes available, approximately every day.
Each band gives a percentage of clearing (from 0 to 100) for different accumulation periods. "N" is the number of days between the latest FIRMS update and the previous NDVI update. N is given by the ‘date_delta’ property.
WRI的注意:WRI决定停止更新FORMA警报。其目的是简化全球森林观测的用户体验,减少冗余。我们发现,Terra-i和GLAD的使用频率更高。此外,以GLAD为标准,发现Terra-i在全球的表现优于FORMA。
FORMA警报是使用两个MODIS产品的组合来检测的。NDVI(归一化植被指数)和FIRMS(资源管理系统的火灾信息)。NDVI更新每16天处理一次,而火灾更新则每天处理一次。为每个生态组单独开发模型,将这两个输入与清理区域联系起来,使用汉森年度树木覆盖损失数据来训练模型。有资格成为警报的最低阈值是25%的像素被清除,尽管阈值因生态组而异,以尽量减少假阳性。下面是一个快速介绍FORMA数据集的脚本示例。
清除百分比的值为0,即没有检测到清除,或在[ecogroup_bound:100]范围内,其中ecogroup_bound由WRI/GFW/FORMA/thresholds给出。收集数据的时间段以N天为单位,其中N是警报_日期和最后一次MODIS NDVI更新之间的天数。
Dataset Availability
2017-04-08T00:00:00 - 2019-05-18T00:00:00
Dataset Provider
World Resources Institute / Global Forest Watch
Collection Snippet
Copied
ee.ImageCollection("WRI/GFW/FORMA/raw_output_firms")
Resolution
250 meters
Bands Table
Name | Description | Min | Max | Units |
---|---|---|---|---|
nday | Percentage of clearing in the last N days | 0 | 100 | % |
delta_nday | Percentage of clearing in the last 96+N days | 0 | 100 | % |
near_term_delta_nday | Percentage of clearing in the last 32+N days | 0 | 100 | % |
影像属性:
Name | Type | Description |
---|---|---|
year | Int | Year of the most recent data included in the dataset |
date | String | Date, in "YYYY-MM-DD" format, of the last MODIS FIRMS data included in this dataset |
date_delta | Int | The number of days between date and previous_biweekly_date |
previous_biweekly | Int | The biweekly (every 16 days) period of the year associated with the latest MODIS NDVI |
previous_biweekly_date | String | The date associated with the latest MODIS NDVI update |
使用说明:
The FORMA datasets are available without restriction on use or distribution. WRI does request that the user give proper attribution and identify WRI and GFW, where applicable, as the source of the data.
代码:
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var dataset = ee.ImageCollection('WRI/GFW/FORMA/raw_output_firms')
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.filter(ee.Filter.date('2018-08-01', '2018-08-15'));
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var percentageOfClearing = dataset.select('nday');
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var visParams = {
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min: 0.0,
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max: 0.01,
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};
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Map.setCenter(25.73, -7.61, 2);
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Map.addLayer(percentageOfClearing, visParams, 'Percentage of clearing');
文章来源: blog.csdn.net,作者:此星光明2021年博客之星云计算Top3,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/qq_31988139/article/details/120690690
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