Projects

• Used Time series Sentinel-1A SAR (VV, VH Polarization) data and Sentinel 2 data .

• Study area was Veppanthattai taluk, Perambalur District, Tamil Nadu State, India.

•  Preprocessing of Images done using SNAP software.

• ML Algorithms used for classification and compared their results - SVM, Neural Net, Max likelihood and Min Distance.

• Identified the major crops and estimated their area.

• Derived the temporal backscattering of all crops for VV, VH polarization.

• Published Articles :  Research Paper 1 , Research Paper 2 

• Land Use/ Land Cover Classification using machine learning algorithms ( such as Random Forest, SVM)

• Extraction of Time Series values of NDVI for single point and multi point locations using sentinel 2 and MODIS imagery.

• Extraction of Time series values of VV, VH and RVI for single point and multi point locations using sentinel 1A/1B SAR imagery.

• Water area detection using sentinel 1A imagery.

• Flood Mapping using Sentinel 1A imagery.

• Mapping of Mangrove Forest.

• DEM image downloading and creationg slope and aspect.

• Google Earth Engine App Creation.

• My study area was kotturpuram road and CLRI. I have taken 15 point samples from this surrounding location.

• Data Collected for five days from 26th September to 30th september using mobile phone applications.

• Data collected such as noise, air temperature, surface temperature, relative humidity using survey technique.

• The Interpolation is done for each data in the period of four days.

• The output is mapped and it shows the variation of temperature, noise and humidity for each location.

• Each Results are compared with other parameters .

• Soil Profiles have been taken from legacy data.

• Study area was salem and namakal block of Tamil nadu state, India.

• SCORPAN model was used for prediction.

• Predicted the soil properties such as sand, clay, silt and Organic Carbon using Quantile Regression Forest (Machine Learning ) algorithm in R Studio.

• Prediction of performance evaluated based on the R2, RMSE, ME and PICP.

• Results has average accuracy. In order to improve results has to add more number of training points and high resolution of DEM imagery.

• Published Article: Article 1

I developed e-Learning system for Tamil Nadu Agricultural University , Coimbatore, Tamil Nadu State-641 003, India. 

Using of MOODLE open source ( LMS - Learning Management System ) software. 

First I have installed a LAMP on Local ubuntu server. after that installed MOODLE and customized this LMS for TNAU to publish the demo courses on web.

I developed website and suggested for Tamil Nadu Agricultural University, Coimbatore. Using of Drupal open source CMS ( Content Management System ) software.

Drupal is a free and open-source web content management system written in PHP and distributed under the GNU General Public License.