ee.Terrain.products

מחשבת שיפוע, מִפנה וצללית פשוטה של גבעה מ-DEM של פני שטח.

התג מצפה לתמונה שמכילה פס אחד של גובה, שנמדד במטרים, או אם יש יותר מפס אחד, פס אחד בשם 'elevation'. הפונקציה מוסיפה פסי פלט בשמות slope (שיפוע) ו-aspect (כיוון), שנמדדים במעלות, וגם פס פלט של בייט לא חתום בשם hillshade (הצללה) לצורך ויזואליזציה. כל הפסים והמטא-נתונים האחרים מועתקים מתמונת הקלט. הגרדיאנט המקומי מחושב באמצעות 4 השכנים המחוברים של כל פיקסל, ולכן ערכים חסרים יופיעו סביב הקצוות של תמונה.

שימוש	החזרות
ee.Terrain.products(input)	תמונה

ארגומנט	סוג	פרטים
input	תמונה	תמונה של גובה פני השטח, במטרים.

דוגמאות

Code Editor (JavaScript)

// Demonstrate ee.Terrain functions with single-image and collection DEMs.

// DEMs in Earth Engine are often distributed as single images per asset
// (e.g., NASA/NASADEM_HGT/001) or as collections of tiled images that need
// to be mosaicked (e.g., COPERNICUS/DEM/GLO30). Terrain analysis functions
// compute values based on neighboring pixels, so care must be taken to
// select and prepare DEM inputs appropriately.

// 1. Single DEM image asset.
// Assets like NASADEM are presented as single images covering large areas.
// They generally have a single projection and can be used in terrain analysis
// with no preprocessing.
var nasadem = ee.Image('NASA/NASADEM_HGT/001').select('elevation');

// Calculate slope, aspect, and hillshade simultaneously using products().
var nasademProducts = ee.Terrain.products(nasadem);

// Visualization parameters.
var elevationVis = {
  min: 0.0,
  max: 3000.0,
  palette:
      ['333399', '00a2e5', '55dd77', 'ffff99', 'aa926b', 'aa928d', 'ffffff']
};
var slopeVis = {min: 0.0, max: 60.0};
var aspectVis = {min: 0.0, max: 359.99};
var hillshadeVis = {min: 150.0, max: 255.0};

// Display layers.
Map.setCenter(-121.603, 47.702, 9);
Map.addLayer(nasadem, elevationVis, 'NASADEM Elevation', false);
Map.addLayer(nasademProducts.select('slope'), slopeVis, 'NASADEM Slope');
Map.addLayer(nasademProducts.select('aspect'), aspectVis, 'NASADEM Aspect');
Map.addLayer(
    nasademProducts.select('hillshade'), hillshadeVis, 'NASADEM Hillshade');

// 2. Mosaicked DEM ImageCollection asset.
// In contrast to single-image assets like NASADEM, some DEMs like GLO30 are
// provided as a collection of images that need to be mosaicked before use.
// We use this mosaicked DEM for the terrain calculations below.
var glo30collection = ee.ImageCollection('COPERNICUS/DEM/GLO30');

// When mosaicking a DEM collection that will be used for terrain analysis,
// it is best practice to set the mosaic's default projection to the native
// projection of the DEM tiles. If you don't, Earth Engine's default
// projection for mosaics (EPSG:4326 at 1-degree scale) is used, which is
// often too coarse for analysis and can lead to resampling artifacts if
// the result is reprojected to a different CRS during computation.
// See:
// https://developers.google.com/earth-engine/guides/projections#reprojecting
var glo30Proj = glo30collection.first().projection();
var glo30Image =
    glo30collection.select('DEM').mosaic().setDefaultProjection(glo30Proj);

// Calculate slope, aspect, and hillshade simultaneously using products().
var glo30Products = ee.Terrain.products(glo30Image);

// Display layers.
Map.addLayer(glo30Image, elevationVis, 'GLO30 Elevation', false);
Map.addLayer(glo30Products.select('slope'), slopeVis, 'GLO30 Slope');
Map.addLayer(glo30Products.select('aspect'), aspectVis, 'GLO30 Aspect');
Map.addLayer(
    glo30Products.select('hillshade'), hillshadeVis, 'GLO30 Hillshade');

הגדרה של Python

בדף סביבת Python מפורט מידע על Python API ועל השימוש ב-geemap לפיתוח אינטראקטיבי.

import ee
import geemap.core as geemap

Colab (Python)

# Demonstrate ee.Terrain functions with single-image and collection DEMs.

# DEMs in Earth Engine are often distributed as single images per asset
# (e.g., NASA/NASADEM_HGT/001) or as collections of tiled images that need
# to be mosaicked (e.g., COPERNICUS/DEM/GLO30). Terrain analysis functions
# compute values based on neighboring pixels, so care must be taken to
# select and prepare DEM inputs appropriately.

# 1. Single DEM image asset.
# Assets like NASADEM are presented as single images covering large areas.
# They generally have a single projection and can be used in terrain analysis
# with no preprocessing.
nasadem = ee.Image('NASA/NASADEM_HGT/001').select('elevation')

# Calculate slope, aspect, and hillshade simultaneously using products().
nasadem_products = ee.Terrain.products(nasadem)

# Visualization parameters.
elevation_vis = {
    'min': 0.0,
    'max': 3000.0,
    'palette': [
        '333399',
        '00a2e5',
        '55dd77',
        'ffff99',
        'aa926b',
        'aa928d',
        'ffffff',
    ],
}
slope_vis = {'min': 0.0, 'max': 60.0}
aspect_vis = {'min': 0.0, 'max': 359.99}
hillshade_vis = {'min': 150.0, 'max': 255.0}

# Display layers.
m = geemap.Map()
m.set_center(-121.603, 47.702, 9)
m.add_layer(nasadem, elevation_vis, 'NASADEM Elevation', False)
m.add_layer(nasadem_products.select('slope'), slope_vis, 'NASADEM Slope')
m.add_layer(nasadem_products.select('aspect'), aspect_vis, 'NASADEM Aspect')
m.add_layer(
    nasadem_products.select('hillshade'), hillshade_vis, 'NASADEM Hillshade'
)

# 2. Mosaicked DEM ImageCollection asset.
# In contrast to single-image assets like NASADEM, some DEMs like GLO30 are
# provided as a collection of images that need to be mosaicked before use.
# We use this mosaicked DEM for the terrain calculations below.
glo30_collection = ee.ImageCollection('COPERNICUS/DEM/GLO30')

# When mosaicking a DEM collection that will be used for terrain analysis,
# it is best practice to set the mosaic's default projection to the native
# projection of the DEM tiles. If you don't, Earth Engine's default
# projection for mosaics (EPSG:4326 at 1-degree scale) is used, which is
# often too coarse for analysis and can lead to resampling artifacts if
# the result is reprojected to a different CRS during computation.
# See:
# https://developers.google.com/earth-engine/guides/projections#reprojecting
glo30_proj = glo30_collection.first().projection()
glo30_image = (
    glo30_collection.select('DEM').mosaic().setDefaultProjection(glo30_proj)
)

# Calculate slope, aspect, and hillshade simultaneously using products().
glo30_products = ee.Terrain.products(glo30_image)

# Display layers.
m.add_layer(glo30_image, elevation_vis, 'GLO30 Elevation', False)
m.add_layer(glo30_products.select('slope'), slope_vis, 'GLO30 Slope')
m.add_layer(glo30_products.select('aspect'), aspect_vis, 'GLO30 Aspect')
m.add_layer(
    glo30_products.select('hillshade'), hillshade_vis, 'GLO30 Hillshade'
)
m