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I am a Scholar at School of Earth Science System, Central University of Kerala.

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TIN MODEL

AIM: To create a triangulated irregular network(TIN) from DEM raster data.
Youtube Tutorial: https://youtu.be/4teqFQaIsdI

MATERIAL USED : ArcMap 10.2

PROCEDURE

1.Open ArcMap 10.2 → click on blank template → hit ok or double click

2.To add image: Add image tab →locate image file → ok (Link for Practice Material Below)

Add the DEM DATA of TVM. (Add both DEM and boundary of TVM)

3.Shapefile → change to hollow

4.Extract tvm DEM by the mask

Spatial Analysis tool → Extraction → Extract by mask

Input – Dem Layer

Input Feature – Hollow Shapefile (Tvm_dist)

Output – Tvm_Dem

5.3D analyst → raster surface → contour

Input— DEM

Output –  contour40

Contour interval 40

6.3D analyst → data management → TIN → Create TIN

Output – TIN_tvm40

Spacial reference → projected coordinate system → UTM → WGS1984 →

Northern Hemisphere →43N

Input – contour40 (Soft type = mass pint)

Input – TVM (high field -= none, SF type = Soft clip)

Ok

RESULT

Practice Material Link:

https://drive.google.com/open?id=1Kr097zN523mD5M593ezXJcytJwikwSsM

NETWORK ANALYSIS

AIM: To create and analyze the given water pipeline system

MATERIAL USED

ArcMap 10.2

PROCEDURE

1.Open ArcMap 10.2 → click blank → ok

2.Add the image

3.To create a personal geodatabase

Arc Catalogue→ create new folder → right click → new →

personal geodatabase (ref to geodatabase practical)

4.Right click →new → feature dataset → (pipeline) → next →

geographical coordinate system → World → WGS1984 → next → next → finish

5.Create feature class for line and point features in the same manner

Pipeline → right click → new → feature class → class name → next →

enter field name and type → ( e.g: name – text, subtype- short integer ) → finish

(pipeline →right click → new → feature class → class name → next →

enter field name and type (e.g: name –  text, subtype – shortinteger) → finish

6.Layer → right click → properties → coordinate system → globe icon →

clear → apply → ok (only for this)

7. Line features class → right click → property → subtype →

set subtype field as subtype → clear the code number and subtype name → apply → ok

*Repeat the step 7  for other point features

8.Remove the feature from the table of content and drag the feature from the catalogue to

the table of content

9.Change the colors of the subtype just like the color gave in the map.

10.To digitize the map: Click line distribution feature→Select straight segment

*Mark the line for distribution features in the same method for the subtypes

11.Mark every line and point features in the same methods for the subtypes

12.After digitization

Dataset (pipeline) → right click → new → geometric network → next →tick features

Line – role set as complex edge

Point – source set as yes

Next → next → finish

13.Editor → star editor

14.Layer → point → click right → attribute table →set intake as source

15.On utility table by right click on the task bar

Flow → display arrow

16.To edit the error

Locate the error by simply zoom at the error location → Select features tool →

click at the error features → then open attribute table → delete the feature

17.For Analysis, Select flag from the utility toolbox and put the flag at any point then

set the analysis type → click the solve tool

18.To remove the flag or analysis

Analysis → clear flag or clear result

Different type of analysis

RESULT

Common Ancestor

Find Connected

Find Upstream Path

Find Path

Trace Downstream

Find Upstream accumulation

Trace Upstream

Practice Material Link :
https://drive.google.com/open?id=1R07XXXDFp9RWeRLznjYoBhECBoCjmEwk

SUPERVISED CLASSIFICATION in ERDAS imagine

AIM: To supervise classification and interpret raster image

Material used: Erdas imagine and ArcGIS 10.2

PROCEDURE
1. To add image

Right click on the workspace → open raster image

(The opened fata should be in ‘.img’ format)

If any error is there in the image, it will show by a yellow exclamation mark.

Right click image layer → Recitify

2.Select Raster from the menu bar → classification → Supervise → Signature edit →

a window will appear, in that add the sample signature

Take drawing from the menu bar → Rectangle → Select a portion for sampling

Click on the ‘signature editor/ window that appear sp that the selected sample will be available.

Give the class name for the samples.

Take 5 minimum sample for each classification ( no. of sample selected is based on area of project).

If we repeat the same value, it can be deleted

1. Click file from the menu bar of ‘signature editor window, → save the signature edits (save in ‘.sig’ format

2. Raster → classification → supervise → supervised classification

Input is automatically taken by the system

Set the ‘.sig’ input

Set the output to ‘img’ format

Hit ok

Processing

3. Again right click on the workspace → Open new raster

RESULT

Practice Material Link :

https://drive.google.com/open?id=1p2U1wLj2LjdL78gPzKQqeq2Y5t4LK3b8