Google Earth Engine ——数据全解析专辑(US NED Topographic Diversity地貌多样性拓扑数据集)

Topographic diversity (D) is a surrogate variable that represents the variety of temperature and moisture conditions available to species as local habitats. It expresses the logic that a higher variety of topo-climate niches should support higher diversity (especially plant) and support species persistence given climatic change.

To calculate D, the multi-scale Topographic Position Index (mTPI), being a dominant control of soil moisture (T), was used for measuring hillslope position. The mTPI was combined with the square-root transform for mTPI>0 (T’) and with the standard deviation of the Continuous Heat-Insolation Load Index (CHILI), calculated at multiple scales (C’) as: D = 1 – ((1-T’) * (1-C’). It is based on the USGS's 10m NED DEM (available in EE as USGS/NED).

The Conservation Science Partners (CSP) Ecologically Relevant Geomorphology (ERGo) Datasets, Landforms and Physiography contain detailed, multi-scale data on landforms and physiographic (aka land facet) patterns. Although there are many potential uses of these data, the original purpose for these data was to develop an ecologically relevant classification and map of landforms and physiographic classes that are suitable for climate adaptation planning. Because there is large uncertainty associated with future climate conditions and even more uncertainty around ecological responses, providing information about what is unlikely to change offers a strong foundation for managers to build robust climate adaptation plans. The quantification of these features of the landscape is sensitive to the resolution, so we provide the highest resolution possible given the extent and characteristics of a given index.

地形多样性（D）是一个替代变量，代表了物种作为当地栖息地可用的各种温度和湿度条件。它所表达的逻辑是，较多的地形气候龛位应支持较高的多样性（尤其是植物），并在气候变化的情况下支持物种的持续存在。

为了计算D，多尺度地形位置指数（mTPI），作为土壤水分（T）的主要控制因素，被用来测量山坡位置。mTPI与mTPI>0时的方根变换（T'）和连续热阻负荷指数（CHILI）的标准差相结合，在多尺度下计算（C'）。D=1-（（1-T'）*（1-C'）。它基于美国地质调查局的10米NED DEM（在EE中可作为USGS/NED）。

保护科学伙伴（CSP）生态相关地貌（ERGo）数据集、地貌和地形学包含详细的、多尺度的地貌和地形学（又称土地面）模式数据。尽管这些数据有许多潜在的用途，但这些数据的最初目的是开发适合气候适应规划的生态相关的地貌和自然地理类别的分类和地图。因为未来的气候条件有很大的不确定性，围绕生态反应的不确定性甚至更大，提供有关不太可能改变的信息为管理者建立强大的气候适应计划提供了一个坚实的基础。景观的这些特征的量化对分辨率很敏感，所以我们在给定指数的范围和特征的情况下，提供尽可能高的分辨率。

Dataset Availability

2006-01-24T00:00:00 - 2011-05-13T00:00:00

Dataset Provider

Conservation Science Partners

Collection Snippet

ee.Image("CSP/ERGo/1_0/US/topoDiversity")

Resolution

90 meters

Bands Table

* = Values are estimated

代码：

var dataset = ee.Image('CSP/ERGo/1_0/US/topoDiversity');
var usTopographicDiversity = dataset.select('constant');
var usTopographicDiversityVis = {
  min: 0.0,
  max: 1.0,
};
Map.setCenter(-111.313, 39.724, 6);
Map.addLayer(
    usTopographicDiversity, usTopographicDiversityVis,
    'US Topographic Diversity');