Mapping Nipa plantations and other vegetation in coastal wetlands of Andhra Pradesh, India using spatial MCDM | |
| Author | Thokala, Akhil |
| Call Number | AIT Thesis no.RS-22-02 |
| Subject(s) | Wetlands--Remote sensing--India Forest management--Data processing--India |
| Note | A thesis submitted in partial fulfillment of the requirements for the degree of Master of Engineering in Remote Sensing and Geographic Information Systems |
| Publisher | Asian Institute of Technology |
| Abstract | The overall objective of the study is to introduce and assess the potential growth and production of Nipa palm in Andhra Pradesh, India. Our aim is to identify Nipa plantation and other vegetation near coastal area and find suitable land for Nipa plantation using AHP. Mapping of various features present in the coastal areas of Andhra Pradesh vegetation types like mangroves, Nipa Palm, Coconut, water, beach etc. We will evaluate the Land cover Land use of the coastal area for last five years, we will observe and evaluate the changes happened in that area. With the help of Land cover land use, we can map Nipa palm suitability area based on Analytic Hierarchy Process. East Godavari is our study area which is district of state of Andhra Pradesh. where wetlands and mangroves areas are abundant. In this area shrimp cultivation is famous. Here we will evaluate the perceptions of the local people towards Nipa palm as a source of livelihood. A questionnaire will be prepared to evaluate the people perception towards Nipa palm Our study is to map Nipa plantation and other vegetation in coastal wetlands using spatial MCDM techniques. Overall objective is to introduce and access the potential growth and production of Nipa palm in East Godavari, Andhra Pradesh, India. Evaluate the perceptions of the local people towards Nipa palm as a source of livelihood. Nipa palm suitability model has been developed and map of suitable areas has been generated by integration of remote sensing data, GIS (coupled with AHP and FAHP), and inputs of the local community. This approach was considered to visualize the suitability of the study area by minimizing the influence of highly weighted infrastructure factors which might have the effect of skewing the model in their favor. For this analysis, the results of AHP are compared with FAHP. For both AHP and FAHP the consistency ratios are within the threshold limit of < 0.10, for both AHP and FAHP is 0.0752 and 0.0937 respectively. The results of this analysis show that the study area comprises of all the four classes and majority of the study area was found to be occupied by the moderately suitability with an area of 7460 ha or 58.23 percent of the study area. The most suitability class, i.e., high suitability class occupied the least area,covering 814 ha (6.36%). This FAHP analysis produced quite similar results and the suitability classes which were produced by AHP analysis. The results of FAHP analysis validates the results obtained by AHP analysis. Both of the analysis carried out in GIS environment by weights obtained from satty’s method. Weights are derived by results obtained from perception analysis carried out survey conducted. The results also showed that the suitability values generated by AHP and FAHP are very close with the main difference in the map where FAHP generated larger highly suitable values and resulted in more space in the map. The results of FAHP is giving better results as majority of highly suitable areas are falling into existing forest and mangroves plantation areas. Further Study on the study on the relationship between salinity level and sap-sugar production is also necessary to identify the optimum level of salinity that a nipa palm can produce sap and sugar at maximum. |
| Year | 2022 |
| Type | Thesis |
| School | School of Engineering and Technology |
| Department | Department of Information and Communications Technologies (DICT) |
| Academic Program/FoS | Remote Sensing and Geographic Information Systems (RS) |
| Chairperson(s) | Tripathi, Nitin Kumar |
| Examination Committee(s) | Sarawut Ninsawat;Krishna, Salin |
| Scholarship Donor(s) | AIT Fellowship |
| Degree | Thesis (M.Eng.) - Asian Institute of Technology, 2022 |