标签：Engine 00 Google license -- Potential FAPAR any
Potential Natural Vegetation FAPAR predicted monthly median (based on PROB-V FAPAR 2014-2017). Description.
To access and visualize maps outside of Earth Engine, use this page.
If you discover a bug, artifact or inconsistency in the LandGIS maps or if you have a question please use the following channels:
潜在的自然植被FAPAR预测月度中值（基于PROB-V FAPAR 2014-2017）。说明。
要在地球引擎之外访问和可视化地图，请使用此页面。
如果您发现LandGIS地图中的错误、伪装或不一致之处，或者您有问题，请使用以下渠道。
关于代码的技术问题和疑问
一般问题和评论
Dataset Availability
2001-01-01T00:00:00 - 2002-01-01T00:00:00
Dataset Provider
Collection Snippet
ee.Image("OpenLandMap/PNV/PNV_FAPAR_PROBA-V_D/v01")
Resolution
1000 meters
Bands Table
| Name | Description | Min* | Max* | Units |
|---|---|---|---|---|
| jan | Jan Potential FAPAR monthly | 0 | 220 | fraction |
| feb | Feb Potential FAPAR monthly | 0 | 220 | fraction |
| mar | Mar Potential FAPAR monthly | 0 | 220 | fraction |
| apr | Apr Potential FAPAR monthly | 0 | 220 | fraction |
| may | May Potential FAPAR monthly | 0 | 220 | fraction |
| jun | Jun Potential FAPAR monthly | 0 | 220 | fraction |
| jul | Jul Potential FAPAR monthly | 0 | 220 | fraction |
| aug | Aug Potential FAPAR monthly | 0 | 220 | fraction |
| sep | Sep Potential FAPAR monthly | 0 | 220 | fraction |
| oct | Oct Potential FAPAR monthly | 0 | 220 | fraction |
| nov | Nov Potential FAPAR monthly | 0 | 220 | fraction |
| dec | Dec Potential FAPAR monthly | 0 | 220 | fraction |
| annual | Anuual Potential FAPAR monthly | 0 | 220 | fraction |
| annualdiff | Annual Difference Potential FAPAR monthly | 0 | 220 | fraction |
* = Values are estimated
数据使用：
This is a human-readable summary of (and not a substitute for) the license.
You are free to - Share — copy and redistribute the material in any medium or format Adapt — remix, transform, and build upon the material for any purpose, even commercially.
This license is acceptable for Free Cultural Works. The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms - Attribution — You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
ShareAlike — If you remix, transform, or build upon the material, you must distribute your contributions under the same license as the original.
No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
这是对许可证的可读摘要（而不是替代）。
你可以自由地--分享--以任何媒介或格式复制和再传播这些材料，适应--为任何目的重新混合、改造和建立这些材料，甚至是商业性的。
此许可证可用于自由文化作品。只要你遵守许可条款，许可人就不能撤销这些自由。
在以下条款下--署名--你必须给予适当的荣誉，提供许可证的链接，并说明是否进行了修改。你可以以任何合理的方式这样做，但不能以任何方式暗示许可人认可你或你的使用。
类似共享 - 如果你重新混合、改造或建立在材料的基础上，你必须在与原始材料相同的许可下分发你的贡献。
没有额外的限制--你不得应用法律条款或技术措施，在法律上限制他人做许可证允许的任何事情。
数据引用：
Hengl T, Walsh MG, Sanderman J, Wheeler I, Harrison SP, Prentice IC. (2018) Global Mapping of Potential Natural Vegetation: An Assessment of Machine Learning Algorithms for Estimating Land Potential. PeerJ Preprints. 10.7287/peerj.preprints.26811v5
https://doi.org/10.7910/DVN/QQHCIK
代码：
var dataset = ee.Image("OpenLandMap/PNV/PNV_FAPAR_PROBA-V_D/v01");
var visualization = {
bands: ['jan'],
min: 0.0,
max: 220.0,
palette: ['0000ff', '00ffff', 'ffff00', 'ff0000']
};
Map.centerObject(dataset);
Map.addLayer(dataset, visualization, "Potential FAPAR monthly");
标签：Engine,00,Google,license,--,Potential,FAPAR,any 来源： https://blog.csdn.net/qq_31988139/article/details/120601718
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