US NED Landforms

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aspect csp elevation ergo geophysical landforms slope topography us


The ALOS Landform dataset provides landform classes created by combining the Continuous Heat-Insolation Load Index (CHILI) and the multi-scale Topographic Position Index (mTPI) datasets. 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.


10 meters


Name Description

NED-derived landform classes

constant Class Table

Value Color Description
11 141414 Peak/ridge (warm)
12 383838 Peak/ridge
13 808080 Peak/ridge (cool)
14 EBEB8F Mountain/divide
15 F7D311 Cliff
21 AA0000 Upper slope (warm)
22 D89382 Upper slope
23 DDC9C9 Upper slope (cool)
24 DCCDCE Upper slope (flat)
31 1C6330 Lower slope (warm)
32 68AA63 Lower slope
33 B5C98E Lower slope (cool)
34 E1F0E5 Lower slope (flat)
41 a975ba Valley
42 6f198c Valley (narrow)

Terms of Use

Terms of Use



  • Theobald, D. M., Harrison-Atlas, D., Monahan, W. B., & Albano, C. M. (2015). Ecologically-relevant maps of landforms and physiographic diversity for climate adaptation planning. PloS one, 10(12), e0143619

Explore in Earth Engine

var dataset = ee.Image('CSP/ERGo/1_0/US/landforms');
var landforms ='constant');
var landformsVis = {
  min: 11.0,
  max: 42.0,
  palette: [
    '141414', '383838', '808080', 'EBEB8F', 'F7D311', 'AA0000', 'D89382',
    'DDC9C9', 'DCCDCE', '1C6330', '68AA63', 'B5C98E', 'E1F0E5', 'a975ba',
Map.setCenter(-105.58, 40.5498, 11);
Map.addLayer(landforms, landformsVis, 'Landforms');