Google Earth Engine ——Landsat Vegetation Continuous Fields (VCF) 树木覆盖层包含高度超过 5 米的木本植被覆盖数据集

简介: Google Earth Engine ——Landsat Vegetation Continuous Fields (VCF) 树木覆盖层包含高度超过 5 米的木本植被覆盖数据集

GLCF: Landsat Tree Cover Continuous Fields

The Landsat Vegetation Continuous Fields (VCF) tree cover layers contain estimates of the percentage of horizontal ground in each 30-m pixel covered by woody vegetation greater than 5 meters in height. The data represent three nominal epochs, 2000, 2005 and 2010, compiled from the NASA/USGS Global Land Survey (GLS) collection of Landsat data. The product is derived from all seven bands of Landsat-5 Thematic Mapper (TM) and/or Landsat-7 Enhanced Thematic Mapper Plus (ETM+), depending on the GLS image selection.

Tree cover, the proportional, vertically projected area of vegetation (including leaves, stems, branches, etc.) of woody plants above a given height, affects terrestrial energy and water exchanges, photosynthesis and transpiration, net primary production, and carbon and nutrient fluxes. Tree cover also affects habitat quality and movements of wildlife, residential property value for humans, and other ecosystem services. The continuous classification scheme of the VCF product enables better depiction of land cover gradients than traditional discrete classification schemes. Importantly for detection and monitoring of forest changes (e.g., deforestation and degradation), tree cover provides a measurable attribute upon which to define forest cover and its changes. Changes in tree cover over time can be used to monitor and retrieve site-specific histories of forest change.

The dataset has been produced for three year epochs: 2000, 2005, 2010, with an image in the collection for each available WRS2 path/row.


Landsat Vegetation Continuous Fields (VCF) 树木覆盖层包含高度超过 5 米的木本植被覆盖的每个 30 米像素中水平地面百分比的估计值。数据代表三个名义时期,2000 年、2005 年和 2010 年,由 NASA/USGS 全球土地调查 (GLS) 收集的 Landsat 数据汇编而成。该产品源自 Landsat-5 专题地图绘制器 (TM) 和/或 Landsat-7 增强专题地图绘制器 Plus (ETM+) 的所有七个波段,具体取决于 GLS 图像选择。

树木覆盖率,即高于给定高度的木本植物的植被(包括叶、茎、枝等)的比例、垂直投影面积,影响陆地能量和水分交换、光合作用和蒸腾作用、净初级生产以及碳和养分通量.树木覆盖还影响野生动物的栖息地质量和活动、人类住宅财产价值以及其他生态系统服务。 VCF 产品的连续分类方案比传统的离散分类方案能够更好地描述土地覆盖梯度。对于检测和监测森林变化(例如,森林砍伐和退化)很重要,树木覆盖率提供了一个可衡量的属性,用于定义森林覆盖率及其变化。树木覆盖率随时间的变化可用于监测和检索特定地点的森林变化历史。

数据集已经生成了三年的时期:2000、2005、2010,每个可用的 WRS2 路径/行在集合中都有一个图像。

Dataset Availability

2000-01-01T00:00:00 - 2010-12-31T00:00:00

Dataset Provider

NASA LP DAAC at the USGS EROS Center

Collection Snippet

ee.ImageCollection("GLCF/GLS_TCC")

Resolution

30 meters

Bands Table

Name Description Min Max Units
tree_canopy_cover The percentage of pixel area covered by trees. 0 100 %
uncertainty RMSE for tree-canopy_cover
source_index Identity of source image used for the particular pixel. This is an index into the per image metadata array 'sources'.

影像属性:

Name Type Description
path Double Path
pathrow String Path and row
row Double Row
sources Double Sources
tree_canopy_cover_class_palette Double Tree canopy cover class palette
tree_canopy_cover_class_values Double Tree canopy cover class values
year Double Year


代码:

var dataset = ee.ImageCollection('GLCF/GLS_TCC')
                  .filter(ee.Filter.date('2010-01-01', '2010-12-31'));
var treeCanopyCover = dataset.select('tree_canopy_cover');
var treeCanopyCoverVis = {
  min: 0.0,
  max: 100.0,
  palette: ['ffffff', 'afce56', '5f9c00', '0e6a00', '003800'],
};
Map.setCenter(-88.6, 26.4, 3);
Map.addLayer(treeCanopyCover, treeCanopyCoverVis, 'Tree Canopy Cover');


数据引用:

Data citation: Tree Canopy Cover, {Year, ...}, Global Land Cover Facility, www.landcover.org.

Paper/Methods Citation: Sexton, J. O., Song, X.-P., Feng, M., Noojipady, P., Anand, A., Huang, C., Kim, D.-H., Collins, K.M., Channan, S., DiMiceli, C., Townshend, J.R.G. (2013). Global, 30-m resolution continuous fields of tree cover: Landsat-based rescaling of MODIS Vegetation Continuous Fields with lidar-based estimates of error. International Journal of Digital Earth, 130321031236007. doi:10.1080/17538947.2013.786146.


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