- Multispec inc how to#
- Multispec inc pdf#
Image file and shape files used for tutorial 5 ( L7_20000606_Indy band files). Image file used for tutorials 1, 2, 3, 4 and 8 ( ag020522_DPAC_cd.lan). Rather it is a geospatial image created from gridded data obtained from the Applied Climate Information System (ACIS) the data is derived from measurements collected by many weather stations. The image data used in this example is not multispectral data collected by a satellite or aircraft or the results of analysis of those data. This exercise illustrates how MultiSpec can me used for handling and analysis of general geospatial images. Visualizing Growing Degree Day (GDD) Images.
An ASTER HDF file is used as the example.
Multispec inc how to#
This exercise illustrates how to use MultiSpec to select HDF/netCDF image datasets (or a group of image data sets) to be used like any other raster image file.
Each of the raster images can contain multiple channels and represent different spatial resolutions and data types. The data sets can be any combination of tables, arrays and raster images. HDF and netCDF formatted files can contain from one to many data sets.
Handling HDF and netCDF Formatted Image. This exercise will illustrate how to do this. One example is the Normalized Vegetation Index This technique is used to enhance the vegetation One can create images that represent algebraic combinations of the original channels The map and latitude-longitude units are only availableįor images where the required map projection information is available. One can make selections of areas within an image using line-column units, map units This exercise will illustrate how to open ArcView Shape files and overlay them onto (A sample set of individual bands can be downloaded or you can provide This tutorial will illustrate how toĭo this. Times one will receive Landsat images from the EROS Center via ftp or on a DVD thatĬontains one file for each of the 4-10 Landsat bands. Image files together to be treated as one image file in an image window and/or createĪ new image file that incorporates all of the separate images. One can use the "Logically Linking" capability in MultiSpec to link several Image Files into a Single Multispectral Image File You can also do a supervised classification of an image file by selecting trainingĪreas for selected classes from known areas. Use the ISODATA algorithm for this exercise. The second is an iterative type called ISODATA. Similar pixels in the image into clusters or categories. Two Clustering algorithms are available in MultiSpec. Portion of the Display Specifications dialog box. In the multispectral image window by setting five different options in the Enhancement This exercise illustrates how you can control the enhancement of the image In this exercise, you will display an aircraft image file and view the data in several That there is a tutorial using an area around Arequipa, Peru in both Spanish and English in the second section of this page and there are some tutorials in Greek and Hungarian provided by MultiSpec users at the bottom Tutorials 1-4 & 6-7 were revised in October 2009 tutorials 8 & 9 were added in June/JulyĢ010 tutorial 5 was revised in September 2013. An Acrobat Reader for Macintosh, Windows, or Unix can be downloaded If you are using version 3 or later of Netscape Navigator and version 4 or later The documents are in Adobe Acrobat Format and can be read within your web viewer Multispec inc pdf#
There is a separate pdf document for each tutorial. Supervised classifications view the results, learn how to combine separate imageįiles into one image file, overlay shape files onto images, enhance images and work Multispectral and thematic images, run unsupervised classification (ISODATA), run These tutorials will illustrate how to display The following are some small tutorials or exercises that one can follow to gain
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