We evaluated the results of watershed development done by the workers employed under NREGA using RS
The NREGA act was introduced with the aim of improving employment rates in the rural parts
of our country. As some of the projects undertaken by the scheme involved making changes
to the landscape in terms of water collection, farming patterns etc. it was expected that there
would be some environmental/geological benefits too. This project aims to take advantage of
publicly available satellite data and evaluate the progression of various indices in regions where
NREGA assets have been constructed, in attempt to validate the previous claim.
NREGA is an employment guarantee act/labour law that aims at guaranteeing the right to work.
Under this scheme, people who are looking for work can take up different projects that come
under the act. The act guarantees 100 days of employment to households if they choose to do
unskilled work. It also ensures that at least 1/3rd of the people who take up this scheme are
women. NREGA also tries to protect farmers and agricultural workers against climatic-based
vulnerabilities. It has also contributed to creating significant assets such as forest land, water
bodies, and highways.
LANDSAT 7, as the name suggests, is the 7th satellite from the LANDSAT series. The satellite
orbits the Earth at an altitude of just over 700 kilometers and circles the Earth every 99 minutes.
LANDSAT 7 has the Enhanced Thematic Mapper (ETM+) sensor and a repeat cycle of 16 days.
This sensor helps the satellite deliver 8 spectral bands worth of data -
We used different indices including NDVI, MNDVI AND SAVI for the evaluation of assets developed by NREGA for rural empowerment. LANDSAT 7, as the name suggests, is the 7th satellite from the LANDSAT series. The satellite
orbits the Earth at an altitude of just over 700 kilometers and circles the Earth every 99 minutes.
LANDSAT 7 has the Enhanced Thematic Mapper (ETM+) sensor and a repeat cycle of 16 days.
This sensor helps the satellite deliver 8 spectral bands worth of data -
Our collaborators at LibTech India [11] provided us with a selection of coordinates in Odisha
where an asset had been deployed. The points are displayed below.
As can be seen, all points lie around the same area, and hence a square region encompassing all
5 points was considered to be our area of interest for all further experiments and observations. Our data collection was done using the Google Earth Explorer Engine, outlined in section [X].
Similar to the results obtained previously, we see a strong seasonal effect - indices peaking in the
monsoon and summer months and dipping during winters. The graphs for various indices are
shown below.
Contact errijuldahiya(at)gmail.com to get more information on the project