Jed9-54.dvi - jed9-54.pdf. Science On a Sphere. Index of /mgg/global/relief/ETOPO1/image. Google Ocean : marine data for Google Maps / Google Earth. Google Maps (GM) on the web and Google Earth (GE) as a 3D interactive atlas software application are ideal tools for sharing geographical information in a simple way.
GE as a mass-market visualization product is definitely a new step in the evolution of mapping and GIS, especially in the way it can be used with a couple of mouse clicks by anybody not expert in cartography. So this webpage is the MIS contribution to this unique method of information gathering to share detailed information in the marine domain waiting Google 3D Maps for Oceans (may be with Google Oceans as a product name, but name can change on its launch -probably on the 2nd of February, 2009-), the future release of the Google project under research to create visualization tools for marine data throughout the world and will enable users to navigate below the sea surface.
(CNET article) So waiting this new software arrives, just , click on the different Placemarks 3/ Coastal orthophoto. GIS Download Page. Using Landsat 7 Data. This method is designed to modify neighboring pixels in a single Landsat 7 SLC-off scene, creating a final aesthetic image only - no scientific analysis accuracy is guaranteed using this method.
This method was designed using ERDAS Imagine™*, along with ENVI™* or Adobe Photoshop™ * for final filled-image verification. The approximate time to complete is 1 hour per scene. Any questions about this method can be directed to Landsat Customer Services. Preparation: Download and extract the Landsat 7 SLC-off image that will be used. Process One: Creating Layer Stack Open ERDAS ImagineClick the Interpreter Icon in the Main MenuSelect Utilities in the Image Interpreter MenuSelect Layer Stack in the Utilities MenuThe Layer Selection and Stacking Input/Output box is displayed. Figure 2: Layer Stack Prep Screenshot-2 Click OK. Process Two: Initiating Filling Method Figure 3: Focal Analysis Screenshot-1. Classifying Landsat image services to make a land cover map. By Rajinder Nagi, Esri Cartographic Product Engineer In a previous blog entry, we discussed how you can use Landsat image services in ArcMap to see the change over time.
In this blog entry, we dive further into Landsat image services and describe how you can create thematic land cover maps which can then be used for analyses, such as land cover change detection. The image classification process involves conversion of multi-band raster imagery into a single-band raster with a number of categorical classes that relate to different types of land cover. There are two primary ways to classify a multi-band raster image; supervised and unsupervised classification. Using the supervised classification method, an image is classified using spectral signatures (i.e., reflectance values) obtained from training samples (polygons that represent distinct sample areas of the different land cover types to be classified). Goworldwind.org. The applications and applets here demonstrate some of World Wind’s rich capabilities.
Also see World Wind Europa Challenge site for a collection of applications created by the World Wind Europa Challenge teams. World Wind demos applications and applets require Java 7 update 13 or later. World Wind Demo Applications Application Template Application Template This is the most basic usage of the SDK. ArcGIS (Desktop, Engine, Server) Preparing the strip map. This topic gets you started in creating a simple strip map.
A strip map is a set of map pages that follow a route, such as a river, road, or pipeline. Each page of the map shows a defined geographic area on either side of the line feature. Each subsequent page in a strip map shows the area further down the line. Often, there is a bit of geographic overlap between adjacent map pages. The direction of north on the page shifts so that the flow of map is kept constant. The example above shows a strip map for the Rhine River between the cities of Köln and Koblenz. GeoCommons. Aspect-slope map. By Aileen Buckley, Mapping Center Lead An aspect-slope map simultaneously shows the aspect (direction) and degree (steepness) of slope for a terrain (or other continuous surface).
Aspect categories are symbolized using hues (e.g., red, orange, yellow, etc.) and degree of slope classes are mapped with saturation (or brilliance of color) so that the steeper slopes are brighter. This will result in a map that has the colors shown to the right. NOTE — This blog entry has been updated for ArcGIS 10. The coloring is based on Moellering and Kimerling’s MKS-ASPECT scheme (GIS world 1991). Cindy Brewer and Ken Marlow describe the process for making this kind of map using ArcInfo GRID in their online article, Color Representation of Aspect and Slope Simultaneously. Here is how to achieve this effect yourself: First download the data and open the associated .mxd.Using Style Manager, reference the aspect-slope style.
Band Combinations. Landsat Thematic Mapper (TM) Band 1 (0.45 - 0.52u m): provides increased penetration of water bodies and also capable of differentiating soil and rock surfaces from vegetation and for detecting cultural features.
Band 2 (0.52 - 0.60u m): it is sensitive to water turbidity differences; it highlighted the turbid water in the Barkley Lake. Because it covers the green reflectance peak from leaf surfaces, it has separated vegetation (forest, croplands with standing crops) from soil. In this band barren lands urban areas and roads and highways have appeared as brighter (lighter) tone, but forest, vegetation, bare croplands, croplands with standing crops have appeared as dark (black) tone. Also the Kentucky Lake has appeared as black tone.
Remote Sensing and Image Interpretation. Landsat8.