Land Cover Change in Ganga River Catchment, Allahabad, India

Questionnaire programming for ODK (Open Data Kit)
July 11, 2016
Mobile Survey App for Geomarketing
April 4, 2016
The client
Based on Allahabad in India, our client Dr. SK Singh, who works at the University of Allahabad gave us the opportunity to work on a joint project, in which we offered the services of remote sensing and GIS techniques. Established in the year 1887, the University of Allahabad is one of the most outstanding results in the country. The sectors in which the university provides higher education is in the field of politics, administration, teaching, management, law, science, technology, and research.
The project
The project aimed to quantify Land Use/Land Cover (LULC) changes in Ganga river catchment in Allahabad, India using remote sensing and GIS techniques. According to the project requirements, the LULC classification of the area was estimated using the Landsat TM and ETM satellite data from 1990 to 2015. Moreover, the supervised Maximum Likelihood classification technique was defined by equation 1 and was used to determine the LULC of the study area. The study area covered the forest, agriculture, cultivable land, water bodies, and other fallow land and wasteland. The client requirements included a GIS analysis with environmental data, data visualization, documentation and archiving were carried out as per project TOR.

The solution
For this project, remote sensing, GIS analysis, and our mobile survey app were used to carried out the project. The activities were developed jointly by full equipped team of UIZ and client research cluster during pre-monsoon and post-monsoon in 2014. As per TOR and project requirement, 6 cases were produced for detecting the impact of LULC on environmental quality.
These cases were generated on the change detection possibilities from the classified images. All the possible substantial change cases in LULC were considered in this study such as:
• Cultivable land to Built-up (Case I).
• Wasteland to agricultural land (Case II).
• Water body to Built-up (Case III).
• Fallow land to Built-up (Case IV).
• Fallow land to agriculture (Case V).
• Fallow land to Forest (Case VI).
As per project requirement, the GIS analysis with environmental data, data visualization, documentation and archiving were carried out as per project TOR.

The result
The results of this project were satisfactory for the client. The changes resulted in each case were detected and classified. All the possible substantial changes in the LULC cases were reported.

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