1/数据下载（首先感谢earthexplorer提供了免费的全球DEM数据）
下载地址https://lta.cr.usgs.gov/GTOPO30，首先要注册才可以下载，登陆网站后点击getData按钮，
再点击Data Set 这个tab，然后在Data Set Search:中输入GTOPO30进行搜索，在最下方点击result按钮。就会进入以下界面：
这里就可以下载全球范围的DEM数据。
2、geoserver发布前准备
因为从上面所指示的地址下载的数据类型是16 byte的geoTiff图像，而我们这次使用的geoServer中的 image pyramid plug-in这个插件，此插件需要的geoTiff的格式是
8 or 12 byte类型的geotiff，所以我们需要格式转化。我这里有一个java编写的工具可以把16位的geotiff转化为8位的geotiff。下载地址： https://github.com/kaktus40/Cesium-GeoserverTerrainProvider
此地址下载的zip文件中包含GeotiffTranslate.jar工具，就是我们需要的，（具体使用方法请阅读.me文件）。
3、geoserver发布
以下英文地址（ http://docs.geoserver.org/latest/en/user/tutorials/imagepyramid/imagepyramid.html ）
For this tutorial we have prepared asample BlueMarble TNG subsetin GeoTIFF form. The image is tiled and JPEG compressed, without overviews. Not exactly what you’d want to use for high performance data serving, but good for redistribution and as a starting point to build a pyramid.
In order to build the pyramid we’ll use thegdal_retile.pyutility, part of the GDAL command line utilities and available for various operating systems (if you’re using Microsoft Windows look forFWTools).
The following commands will build a pyramid on disk:
mkdir bmpyramid
gdal_retile.py -v -r bilinear -levels 4 -ps 2048 2048 -co "TILED=YES" -co "COMPRESS=JPEG" -targetDir bmpyramid bmreduced.tiff
Thegdal_retile.pyuser guide provides a detailed explanation for all the possible parameters, here is a description of the ones used in the command line above:
-v: verbose output, allows the user to see each file creation scroll by, thus knowing progress is being made (a big pyramid construction can take hours)
-r bilinear: use bilinear interpolation when building the lower resolution levels. This is key to get good image quality without asking GeoServer to perform expensive interpolations in memory
-levels 4: the number of levels in the pyramid
-ps 2048 2048: each tile in the pyramid will be a 2048x2048 GeoTIFF
-co “TILED=YES”: each GeoTIFF tile in the pyramid will be inner tiled
-co “COMPRESS=JPEG”: each GeoTIFF tile in the pyramid will be JPEG compressed (trades small size for higher performance, try out it without this parameter too)
-targetDir bmpyramid: build the pyramid in the bmpyramid directory. The target directory must exist and be empty
bmreduced.tiff: the source file
This will produce a number of TIFF files in bmpyramid along with the sub-directories1,2,3, and4.
Once that is done, and assuming the GeoServer image pyramid plug-in is already installed, it’s possible to create the coverage store by pointing at the directory containing the pyramid and clicking save:
Configuring a image pyramid store
When clicking save the store will look into the directory, recognize agdal_retilegenerated structure and perform some background operations:
move all tiff files in the root to a newly create directory0
create an image mosaic in all sub-directories (shapefile index plus property file)
create the root property file describing the whole pyramid structure
Once that is done the user will be asked to choose a coverage, which will be named after the pyramid root directory:
Choosing the coverage for publishing
Publish the layer, and then setup the layer parameterUSE_JAI_IMAGEREADtofalseto get better scalability:
Tuning the pyramid parameters
Submit and go to the preview, the pyramid should be ready to use:
Previewing the pyramid
Notes on big pyramids
The code that is auto-creating the pyramid indexes and metadata files might take time to run, especially if:
the pyramid zero level is composed of many thousands of files
the system is busy with the disk already and that results in higher times to move all the files to the0directory
If the delay is too high the request to create the store will time out and might break the pyramid creation. So, in case of very big pyramids consider loosing some of the comfort and creating the0directory and moving the files by hand:
cd bmpyramid
mkdir 0
mv *.tiff 0
CESIUM调用geoserver高层数据