GeoSuite

Slope Analysis 1. Get DEM or Elevation Data: Earth Explorer (USGS) and Bhuvan (NRSC) 2.  Add  DEM or Elevation Data to Data Frame 3.  Open Arc Toolbox  in ArcMap 4.  Open -- > Spatial Analyst Tool > Surface > Slope 5.  Slope Tool 6. a.  Input Raster -- > DEM or Elevation Data,       b. Output Location -- > Saving Output Result      c.  Z Factor -- > 1 7. Result Map 8. Double Click ON > Result Map GO TO > Properties > SELECT > Symbology GO TO > Categories 9. a.  Choose no. of Classes & Classify it      b. Classification Method: Equal Interval or Manual -- > Apply 10. Change Color USING -- > Color Ramp -- > Apply Save the Result File

Step 1: Download Aster data from USGS-Earth Explorer website  Step 2: Open Arc GIS – add downloaded Aster contours file – Merge all the contour shp files into single contour file – Click Geoprocessing tool – use Merge option – add all contour file and save it in the desired place – click ok. Step 3: Set projection to the contour file: Open Arc toolbox – Data management tool – Projections and transformations – Project – Give the input file of contour – set output coordinate system as Projection coordinate system – and click ok. Step 4: Open Arc toolbox – Spatial Analyst Tool – Interpolation tool– Topo to raster – add projection contour file - change field as elevation and set output cell size as 200 and click ok. This Video Provides the visual aid for Delineating Watershed:  https://youtu.be/pa7z0g07iZQ Step 5: Export the resulted data and save in the desired place with the desired name and add that data. Open Arc toolbox – Spatial Ana...

·     Step 1:    Download SRTM data from Open DEM website – Download SRTM contours as Shapefile. ·     Step 2:  Open Arc GIS – add downloaded SRTM contours file – Merge all the contour shp files into single contour file – Click Geoprocessing tool – use Merge option – add all contour file and save it in the desired place – click ok. ·     Step 3:  Set projection to the contour file: Open Arc toolbox – Data management tool – Projections and transformations – Project – Give the input file of contour – set output coordinate system as projected coordinate system – UTM  and click ok.        Step 4:  Open Arc toolbox – Spatial Analyst Tool – Interpolation tool– Topo to raster – add projection contour file - change field as elevation and set output cell size as 200 and click ok.             Step 5:  Export the resulted data and save in the desired...

Recently, a team of Data Scientist, Software Developers and Geo-Scientist from California-established company Earth Observing System (EOS) had launched innovative cloud based tools for exiting Remote Sensing and GIS users, students, researchers and more user-friendly for the people new to GIS and Remote Sensing.    Land Viewer tool is the real–time image processing and analytics like: Access to Latest Imagery from Sentinel-2 to Oldest Imagery of Landsat MSS and TM. Easy to find the required geospatial imagery of any scale by selecting the Area of Interest on the map. Using land viewer on-the-fly imagery analytics abilities and download required image for various analysis. Using the Earth Observing System algorithms, users can compare two satellite imagery for finding the difference and selecting needed imagery for the analysis. For Example, Sentinel-2 and Landsat-8 imagery using option called “Comparison Slider” which is real-time level faster...

                                                    Introduction: Satellite Images are similar to that maps, these are essential and provide various range of information. Through Satellite Images changes on the earth is monitored like transformation of city, Land-use and Land cover region, Monitoring of crop health & growth and climate condition. To reveal the rich information in a satellite Image following steps are needed.    1.        Identifying Scale of Image 2.       Identifying the pattern, shapes and textures 3.       Identifying the color Identifying Scale of Image People have trend to look at Satellite Imagery for identifying region or area which are familiar to them, these can be house, work place, nature feature. Identifying house or fine d...

Hello friends, I Know that the topic (Ground Truth Analysis using Google Earth) is bit wired. Before that we have to  understand what is ground truth verification. Ground truth verification is process through which physical verification or field visit to region, for checking  level accuracy which is analysed in satellite image is same as the real world information. Now lets discuss the process using google earth, so most of the image analyst use Erdas Imagine for classification Land-use and Land-cover and etc. In this case the satellite imagery are 30m in resolution that not really  accurate. Now there's option to synchronize your satellite imagery with google earth  through which we can identify the feature in the satellite image through google earth up-to significant level.  This is really useful in saving your time, energy and cost reduction by more accurate visual ground truth analysis. In the above video tutorial the steps have...

Hello Everyone, For doing any Spatial Analysis resolution is dominant x-factor. This because of the clear visualization of features on the ground for identification, understanding, nature and accuracy. In this analysis comparative study was performed using sentinel 2 and Landsat 8 imagery. Both Imagery have difference of size, Sentinel 2 imagery package size up-to 700 MB and  Landsat 8 package is around 900 MB - this significant for downloading. Coming to resolution the Sentinel Imagery shoots-out at 10 meter resolution and Landsat 8  at 30 meter resolution, If enhanced using resolution merge (panchromatic band) it 15 meters. Please check the below video for detail visualization of difference:  Youtube   Sentinel and Landsat 8 is provided with 12 bands and 11 bands respectively.  In the above video, comparison of the imagery is shown using few example like identification of urban feature, agriculture fields, settlements and v...