Google Earth Engine——Landsat图像在描述全球森林范围和变化方面的时间序列分析结果(2015年)

举报
此星光明 发表于 2022/04/16 00:46:57 2022/04/16
【摘要】 Results from time-series analysis of Landsat images in characterizing global forest extent and change. The 'first' and 'last' bands are reference multispectral imagery ...

Results from time-series analysis of Landsat images in characterizing global forest extent and change.

The 'first' and 'last' bands are reference multispectral imagery from the first and last available years for Landsat spectral bands 3, 4, 5, and 7. Reference composite imagery represents median observations from a set of quality-assessed growing-season observations for each of these bands.

Please see the User Notes for this Version 1.0, as well as the associated journal article: Hansen, Potapov, Moore, Hancher et al. “High-resolution global maps of 21st-century forest cover change.” Science 342.6160 (2013): 850-853.

Note that updated versions of this data are available. The newest version, Version 1.8 (produced with data through 2020), is available as UMD/hansen/global_forest_change_2020_v1_8.

Landsat图像在描述全球森林范围和变化方面的时间序列分析结果。

第一个 "和 "最后一个 "波段是Landsat光谱波段3、4、5和7的第一个和最后一个可用年份的参考多光谱图像。参考综合图像代表了这些波段中每个波段的一组质量评估过的生长季节观测值的中位数。

请参见该1.0版的用户说明以及相关的期刊文章。Hansen, Potapov, Moore, Hancher等人,"21世纪森林覆盖变化的高分辨率全球地图"。科学》342.6160(2013):850-853。

请注意,该数据的更新版本是可用的。最新的版本是1.8版(用到2020年的数据制作),可在UMD/hansen/global_forest_change_2020_v1_8中找到。

Dataset Availability

2000-01-01T00:00:00 - 2015-01-01T00:00:00

Dataset Provider

Hansen/UMD/Google/USGS/NASA

Collection Snippet

Copied

ee.Image("UMD/hansen/global_forest_change_2015")

Resolution

30.92 meters

Bands Table

Name Description Min Max Units Wavelength
treecover2000 Tree canopy cover for year 2000, defined as canopy closure for all vegetation taller than 5m in height. 0 100 %
loss Forest loss during the study period, defined as a stand-replacement disturbance (a change from a forest to non-forest state).
loss Bitmask
  • Bit 0: Forest loss during the study period.
    • 0: Not loss
    • 1: Loss
gain Forest gain during the period 2000–2012, defined as the inverse of loss (a non-forest to forest change entirely within the study period). Note that this has not been updated in subsequent versions.
gain Bitmask
  • Bit 0: Forest gain during the period 2000–2012.
    • 0: No gain
    • 1: Gain
first_b30 Landsat 7 band 3 (red) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000. 0.63-0.69μm
first_b40 Landsat 7 band 4 (NIR) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000. 0.77-0.90μm
first_b50 Landsat 7 band 5 (SWIR) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000. 1.55-1.75μm
first_b70 Landsat 7 band 7 (SWIR) cloud-free image composite. Reference multispectral imagery from the first available year, typically 2000. 2.09-2.35μm
last_b30 Landsat 7 band 3 (red) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period. 0.63-0.69μm
last_b40 Landsat 7 band 4 (NIR) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period. 0.77-0.90μm
last_b50 Landsat 7 band 5 (SWIR) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period. 1.55-1.75μm
last_b70 Landsat 7 band 7 (SWIR) cloud-free image composite. Reference multispectral imagery from the last available year, typically the last year of the study period. 2.09-2.35μm
datamask Three values representing areas of no data, mapped land surface, and permanent water bodies.
datamask Bitmask
  • Bits 0-1: Three values representing areas of no data, mapped land surface, and permanent water bodies.
    • 0: No data
    • 1: Mapped land surface
    • 2: Permanent water bodies
lossyear Year of gross forest cover loss event. A disaggregation of total forest loss to annual time scales. Encoded as either 0 (no loss) or else a value in the range 1–12, representing loss detected primarily in the year 2001–2012, respectively. 0 12

引用:

Hansen, M. C., P. V. Potapov, R. Moore, M. Hancher, S. A. Turubanova, A. Tyukavina, D. Thau, S. V. Stehman, S. J. Goetz, T. R. Loveland, A. Kommareddy, A. Egorov, L. Chini, C. O. Justice, and J. R. G. Townshend.

  1. “High-Resolution Global Maps of 21st-Century Forest Cover Change.” Science 342 (15 November): 850–53. Data available on-line at: https://earthenginepartners.appspot.com/science-2013-global-forest.

代码:


  
  1. var dataset = ee.Image("UMD/hansen/global_forest_change_2015");
  2. var visualization = {
  3. bands: ['treecover2000'],
  4. min: 0.0,
  5. max: 100.0,
  6. palette: [
  7. "3d3d3d","080a02","080a02","080a02","106e12","37a930",
  8. "03ff17",
  9. ]
  10. };
  11. Map.setCenter(-60.5, -20.0, 2);
  12. Map.addLayer(dataset, visualization, "Tree Canopy Cover");

其他版本:UMD/hansen/global_forest_change_2015_v1_3

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/120647550

【版权声明】本文为华为云社区用户转载文章,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
  • 点赞
  • 收藏
  • 关注作者

评论(0

0/1000
抱歉,系统识别当前为高风险访问,暂不支持该操作

全部回复

上滑加载中

设置昵称

在此一键设置昵称,即可参与社区互动!

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。

*长度不超过10个汉字或20个英文字符,设置后3个月内不可修改。