Onilenla GIS, Survey&Mapping Consultant

Onilenla GIS, Survey&Mapping Consultant deal with all kinds of survey work. Our services:
� GIS
� AUTOCAD TRAINING
� BUYING AND SELLING OF LAND

05/10/2025

Good day to you, it's been awhile everyone

We welcome our new member here
28/07/2023

We welcome our new member here

The reward of job well done is opportunity for more✊❣️
14/11/2022

The reward of job well done is opportunity for more✊❣️

We welcome our new members
24/05/2021

We welcome our new members

10/01/2021

Good day gentle men and ladies,
We warmly welcomed you to this great platform tag -GIS,Survey& Mapping

feel free to ask any questions/challenges being facing by you or share any of your article.

Nice having you guys 🤝 in our midst

03/11/2020

Good morning everyone! Am using this medium to welcome all our new member here 🙌

*ArcGIS training*  for the beginners I'll introduce you to basic knowledge on GIS such as....- Add data to GIS- Digitizi...
11/10/2020

*ArcGIS training* for the beginners

I'll introduce you to basic knowledge on GIS such as....

- Add data to GIS
- Digitizing
- Geo-referencing
- Creation of database
- How to change work to any suitable format, such as UTM, Latitude and Longitude.
- How to create shapefile
- How to extract file from shapefile

And some things like that.

*BONUS*
- Shape files (you'll entitled for the following)

1. Shapefile carrying all the 36 States including FCT in Nigeria
2. Shapefile of All the 774 local government in Nigeria
3. Landsat toolbox file (for removing scanline)
4. Pdf format of ArcGIS Material

Little incentive attached to it
#1000 commitment fee and #500 E-certificate (Optional)
Any interested people should chat up this number for more enquiries.... +2348105122271
or call 0905 346 7825

*Venue* - WhatsApp ArcGIS training platform

For Registration...
Send evidence of payment to this WhatsApp no. +2348105122271

For advance learner,
hi the aforementioned number too and include advance

14/06/2020
14/06/2020

Abstract
Accurate information on the extent of waterlogging is required for flood prediction, monitoring, relief and preventive measures. The rule-based classification algorithms were used for differentiating waterlogged areas from other ground features using Resourcesat-2 AWiFS satellite imagery (Indian Remote Sensing Satellite with spatial resolution of 56 m). Two spectral indices normalized difference water index (NDWI) and modified normalized difference water index (MNDWI) were used for extracting waterlogged areas in Sri Muktsar Sahib district of Punjab, India. These indices extracted the waterlogged areas (cropped areas inundated with water) but the water features were less enhanced in the NDWI-derived image (when compared with MNDWI-derived image) due to negative values of NDWI and, mixing of water with built up features. The water features were more enhanced with MNDWI and the values of MNDWI were positive for water features mixed with vegetation. The overall accuracy of waterlogged areas extracted from the MNDWI image was 96.9% with the Kappa coefficient of 0.89. The digital elevation model (DEM) was extracted from ASTER-GDEM. The relationships among depth to the water table recorded before the incessant rain in the region, DEM and classified MNDWI images explained the differences in the extent of waterlogging in various directions of the study area. These results suggest that MNDWI can be used to better delineate water features mixed with vegetation compared to NDWI.

Keywords: DEM, MNDWI, NDWI and waterlogging
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Modi

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Oyo
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