Potential Natural Vegetation FAPAR predicted monthly median (based on PROB-V FAPAR 2014-2017). Description.
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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：
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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");