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Thursday, September 27, 2012

How to install ArcGIS Destkop 10.1

1. In case you have Authorized License Key

0) First of all you need to uninstall your previous version of ArcGIS from your computer

1) You just install ArcGIS for Desktop
Then follow the panel which pop up till finish.

2) Browse to your License Key:

and navigate to director where you keep your file (e.g: I keep it in C:\Program Files\ArcGIS 10.1\License Key) then you select it to open.

Fill your information in the coming up panel till finish successfully.

To check your license works, go to Start Menu|| All Programs|| ArcGIS|| ArcGIS Administrator

After that you will see:
Now it is time for you enjoy your ArcGIS Desktop 10.1 Advance License Single Use

2. In case you do not have authorized key

ArcGIS is a very expensive production of ESRI what most people in third world country do not have enough money for purchasing to use personally.
In black market, cracker already crack it for us now! Let follow the steps below to have ArcGIS Desktop 10.1 Advance License installed in our computer!

0) First of all you need to uninstall your previous version of ArcGIS from your computer.

1) Install ArcGIS 10.1 without License Manager.
Do not authorize when your installation is finished. Close all those windows which just popped up.

2) Install Pre-Release License Manager 10.1

3) Use Keygen to create license file.
  • Change "Feature" to ArcInfo.
  • Change "Version" to 10.1 (it is not in the list, so type it).
  • Click "All" and it will generate a license for all modules.
  • Find the "services.txt" file in the "C:\Program Files\ArcGIS\License10.1\bin" folder and open it.
  • Replace the text inside the file with that generated by the Keygen.
  • Change "this_host" to your computers name.
  • Open LSAdmin, click "Start/Stop License Service" and click "Start" or "Re-read Licenses", whichever is not greyed-out.
  • Run ArcGIS Administrator, check ArcInfo Concurrent License. Set License Manager box to localhost.
***Now you get the ArcGIS Desktop 10.1 Advance License which has all extensions of ESRI in it that will expire in 2020. Wow, this is perfect :-)


Tuesday, March 27, 2012

ក្រុង-ស្រុក-ខណ្ឌ

  • បន្ទាយមានជ័យ
  1. ម៉ាឡៃ
  2. មង្គលបុរី
  3. អូរជ្រៅ
  4. ប៉ោយប៉ែត
  5. ស្រុកភ្នំស្រុក
  6. ព្រះនេត្រព្រះ
  7. សិរីសោភ័ណ
  8. ស្វាយចេក
  9. ថ្មពួក
  • បាត់ដំបង
  1. ឯកភ្នំ
  2. បាណន់
  3. បាត់ដំបង
  4. បវេល
  5. កំរៀង
  6. គាស់ក្រឡ
  7. មោងឫស្សី
  8. ភ្នំព្រឹក
  9. រតនៈមណ្ឌល
  10. រុក្ខគិរី
  11. សំឡូត
  12. សំពៅលូន
  13. សង្កែ
  14. ថ្មគោល
  • កំពង់ចាម
  1. បាធាយ
  2. ចំការលើ
  3. ជើងព្រៃ
  4. តំបែ
  5. កំពង់ចាម
  6. កំពង់សៀម
  7. កងមាស
  8. កោះសូទិន
  9. ក្រូចឆ្មារ
  10. មេមត់
  11. អូរាំងឪ
  12. ពញាក្រែក
  13. ព្រៃឈរ
  14. ស្រីសន្ធរ
  15. ស្ទឹងត្រង់
  16. សួង
  17. ត្បូងឃ្មុំ
  • កំពង់ស្ពឺ
  1. បរិបូរ
  2. ជលគិរី
  3. កំពង់ឆ្នាំង
  4. កំពង់លែង
  5. កំពង់ត្រឡាច
  6. រលាប្អៀរ
  7. សាមគ្គីមានជ័យ
  8. ទឹកផុស
  • កំពង់ស្ពឺ
  1. ឱរ៉ាល់
  2. បសែត
  3. ច្បារមន
  4. គងពិសី
  5. ឧដុង្គ
  6. ភ្នំស្រួច
  7. សំរោងទង
  8. ថ្ពង
  • កំពង់ធំ
  1. បារាយណ៍
  2. កំពង់ស្វាយ
  3. ប្រាសាទបាល័្លង្គ
  4. ប្រាសាទសំបូរ
  5. សណ្តាន់
  6. សន្ទុក
  7. ស្ទោង
  8. ស្ទឹងសែន
  • កំពត
  1. អង្គជ័យ
  2. បន្ទាយមាស
  3. ឈូក
  4. ជុំគិរី
  5. ដងទង់
  6. កំពង់ត្រាច
  7. កំពង
  8. ទឹកឈូរ
  • កណ្តាល
  1. អង្គស្នួល
  2. កណ្តាលស្ទឹង
  3. កោះធំ
  4. ខ្សាច់កណ្ដាល
  5. កៀនស្វាយ
  6. លើកដែក
  7. ល្វាឯម
  8. មុខកំពូល
  9. ពញាឮ
  10. ស្អាង
  11. តាខ្មៅ
  • កែប
  1. ដំណាក់ចង្អើរ
  2. កែប
  • កោះកុង
  1. បុទុមសាគរ
  2. កោះកុង
  3. ខេមរៈភូមិន្ទ
  4. គិរីសាគរ
  5. មណ្ឌលមានជ័យ
  6. ស្រែអំបិល
  7. ថ្មបាំង
  • ក្រចេះ
  1. ចិត្របុរី
  2. ឆ្លូង
  3. ក្រចេះ
  4. ព្រែកប្រសប់
  5. សំបូរ
  6. ស្នួល
  • មណ្ឌលគិរី
  1. កែវសីម៉ា
  2. កោះញែក
  3. អូររាំង
  4. ពេជ្រចិន្ដា
  5. សែនមនោរម្យ
  • ឧត្តរមានជ័យ
  1. អន្លង់វែង
  2. បន្ទាយអំពិល
  3. ចុងកាល់
  4. សំរោង
  5. ត្រពាំងប្រាសាទ
  • ប៉ៃលិន
  1. ប៉ៃលិន
  2. សាលាក្រៅ
  • ភ្នំពេញ
  1. ចំការមន
  2. ដង្កោ
  3. ដូនពេញ
  4. មានជ័យ
  5. ពោធិ័សែនជ័យ
  6. ៧មករា
  7. ឫស្សូកែវ
  8. សែនសុខ
  9. ទួលគោក
  • ព្រុំសីហនុ
  1. កំពង់សីលា
  2. ព្រះសីហនុ
  3. ព្រៃនព
  4. ស្ទឹងហាវ
  • ព្រះវិហារ
  1. ជ័យសែន
  2. ឆែប
  3. ជាំខ្សាន្ត
  4. គូលែន
  5. ព្រះវិហារ
  6. រវៀង
  7. សង្គមថ្មី
  8. ត្បែងមានជ័យ
  • ព្រៃវែង
  1. បាភ្នំ
  2. កំចាយមារ
  3. កំពង់លាវ
  4. កំពង់ត្របែក
  5. កញ្ជ្រៀច
  6. មេសាង
  7. ពារាំង
  8. ពាមជរ
  9. ពាមរ
  10. ព្រះស្ដេច
  11. ព្រៃវែង
  12. ស៊ីធរកណ្តាល
  13. ស្វាយអន្ទរ
  • ពោធិ៍សាត់
  1. បាកាន
  2. កណ្ដៀង
  3. ក្រគរ
  4. ភ្នំក្រវាញ
  5. ពោធិ៍សាត់
  6. វាលវែង
  • រតនៈគិរី
  1. អណ្តូងមាស
  2. បានលុង
  3. បរកែវ
  4. កូនមុំ
  5. លំផាត់
  6. អូរជុំ
  7. អូរយ៉ាដាវ
  8. តាវែង
  9. វ៉ឺនសៃ
  • សៀមរាប
  1. អង្គរជុំ
  2. អង្គរធំ
  3. បន្ទាយស្រី
  4. ជីក្រែង
  5. ក្រឡាញ់
  6. ប្រាសាទបាគង
  7. ពួក
  8. សៀមរាប
  9. សូត្រនីគម
  10. ស្រីស្នំ
  11. ស្វាយលើ
  12. វ៉ារិន
  • ស្ទឹងត្រែង
  1. សេសាន
  2. សៀមបូក
  3. សៀមប៉ាង
  4. ស្ទឹងត្រែង
  5. ថាឡាបរិវ៉ាត់
  • ស្វាយរៀង
  1. បាវិត
  2. ចន្ទ្រា
  3. កំពង់រោទិ៍
  4. រមាសហែក
  5. រំដួល
  6. ស្វាយជ្រុំ
  7. ស្វាយរៀង
  8. ស្វាយទៀប
  • តាកែវ
  1. អង្គរបុរី
  2. បាទី
  3. បុរីជលសា
  4. ដូនកែវ
  5. កោះអណ្ដែត
  6. គិរីវង់
  7. ព្រៃកប្បាស
  8. សំរោង
  9. ត្រាំកក់
  10. ទ្រាំង

Sunday, June 19, 2011

Special tips for Remote Sensing Application (ERDAS Imagine)

How to compare the spectral properties

  • one path: RASTER > Profile tools
  • a. spectral profiles: place one or more points on the image to examine the DN values for the pixel in each band.
  • b. spatial profiles: draw a line through different surface materials and examine the change in DN value for one band at a time through this space.
  • c. surface profile: draw a box over the area of interest and see a 3-D view of the DN values for this space one band at a time.
· Linking Viewers: To enhance your interpretation of the image, ERDAS allows you to geographically link two images. First step - open a new viewer. Load two images. Right click in either viewer and geolink/unlink. Follow the instructions on the screen. Zoom in and out and note the relationship between the two images. From either viewer click on the inquire curser (the big + sign icon). This will allow you to examine the same pixel in both viewers. It will also state the DN values of the linked pixels.
Examining spectral space: One method in ERDAS of exploring spectral properties is by creating feature space layers. This function can be found in classifier > signature editor under feature. This allows the user to create a scatterplot where the data file values of one band have been plotted against the data file values of another band. This can only be done in a two dimensional histogram, but theoretically our data has 6 dimensions of spectral space. In the window titled create feature space images you must input the image you want to evaluate and click output to viewer. You may choose from a list of band pairs at the bottom of the window under feature space layers. From the signature editor dialogue choose feature > view >select viewer. Click inside the feature space viewer. Then select feature > view > linked cursors and click link. Then click inside the viewer with your image. The viewers are now linked.

How to subset and mosaic images:

¨ There are multiple ways to clip (SUBSET) an image, many of them use the subset command. The method that I have used and found to work the fastest is the following:
  • Start with the image you want to clip in a viewer
  • Click on UTILITY and select INQUIRE BOX
  • Move the box and enlarge it include the area you want to clip
  • Click the DATAPREP button, and select SUBSET IMAGE
  • Fill out the options selecting the image input and output, and click on FROM INQUIRE BOX button. This will make a .img file that contains the area, layers, and data type you selected.
Here is one method to (MOSAIC) multiple Images (individual blocks) together. Once you have all your clipped images, you will want to put them back together for your unsupervised classification. Do the following:
  • Click the DATA PREP button
  • Select MOSAIC IMAGE
  • Click EDIT and ADD IMAGE or use the button
  • Add all your clipped images
  • Then click PROCESS and RUN MOSAIC
  • This will make a new .img file with all your clipped images included.

How to create signature files

A signature is a set of statistics that is created when clustering and defines a training sample or cluster. The signature is used in the classification process. Each signature corresponds to a GIS class that is created from the signatures with a classification decision rule.
Using training sites (clustering in a supervised manner): Training sites can be identified as Areas Of Interest.
  • Under AOI > tools, use one of the many buttons to choose a region (square, polygon, single pixel etc.).
  • Then under classifier > signature editor use the create new signature from AOI button to add this region's signature. This signature defines a potential class. Note that it is also possible to replace current signatures and merge signatures in the editor as well.
  • A set of signatures can be saved in one signature file (.sig) using file > save as. This file can then be used to do a supervised classification.
Unsupervised Classification: a signature file is automatically created when an unsupervised classification is completed.
  • You must name the .sig file before the image is classified, and it will contain as many signatures as there are classes.
  • You decide the # of classes.
  • This .sig file can then be opened in the signature editor.
  • The signatures can be merged with other signature files, as we will do with the supervised training site signatures, making this a hybrid approach.

How To Evaluate Classification

  • file >open > raster layer and display bands 4,5,3 respectively
  • from the viewer tool bar open a classified raster layer, make sure the "clear display" option is turned off from the "raster options tab" found from that dialog box
  • select Raster > Attributes from the viewer, the editor will be displayed
  • NOTE: you can edit the way this editor appears by selecting Edit > Column Properties
  • Start by setting opacity for all classes to "0". In the Raster Attribute Editor, click on the word OPACITY at the top of the Opacity column, then right-click-hold on the word Opacity and select formula from the column option menu, click on the "0" (the zero on the number pad); and click on Apply.
  • Now change the color for class 1 to something like Yellow or red so it’s easier to see, … click on the color patch and change the color.
  • Change the opacity for class 1 in the Cell Array to 1 and press return, this class will be shown in the viewer.
  • From the viewer menu bar select Utility |> Flicker … the dialog opens … turn on the auto mode.
  • .The flashing pixels are the pixels in this class, click on the Class_Name in the editor and give it meaningful name and assign it a meaningful color
  • Repeat for the other classes.

Tuesday, January 25, 2011

Download Google Earth Imagery by Google Satellite Maps Downloader

Google Satellite Maps Downloader is a cute tool that help you to get small tile satellite images from google maps. All downloaded small satellite images are saved on the disk. You can view downloaded satellite maps by Satellite Map Viewer. And you can combine them into a big BMP satellite map.

Note: The downloaded images are only for your personal purpose, non-commercial use.



¤¤¤ Start Google Satellite Maps Downloader by Start Menu||All Programs||Google Satellite Maps Downloader




¤¤¤ Define your project properties:
- Project Name
- Left Longitude
 - Top Latitude
- Right Longitude
- Bottom Latitude
- Zoom
- Threads count
- Path to save


¤¤¤ There are 4 parameters (Left Longitude, Right Longitude, Top Latitude, Bottom Latitude) to define the area scope of images that you want to download. Thus, I recommend you to define your  Area of Interest (AoI) in ArcMap:


¤¤¤ To get Lef-Top and Right-Bottom coordinate (in degrees), you should use Indentify Tool.


¤¤¤ Complete all parameters needed...


¤¤¤ Hit Download button to download. Wait for some minutes to see it finished.


How to view downloaded satellite images?
You can view downloaded maps without combining them into one big BMP.
We provide a tool to viewer the images, you can run it from menu "Tools"->"Satellite Images Viewer".
Then open a project from menu "File"->"Open project..." to view the map.



How to combine small images into one big image?
After downloading, all small images are saved on your disk. Then you can combine them into one big image map. You can run it from menu "Tools"->"Combine images... ". 


Now, you get the imagery from Google Earth for the place where you need. I think you should georeference your block image which you just combine. Then you can work with it in ArcMap or any application software.


If you need a quick to georeference your imagery in ArcMap, you would contact me...

Thursday, December 30, 2010

My Pictures

Sihanu Vill ( photographed from boat)


Preah Monivong High School (Battambang Town)


Time Square (New York, USA)


American Museum of Natural History (New York)

Bronx Zoo (USA)