The humanitarian catastrophe in the Lake Chad region is unprecedentedIn terms of scale and complexity, According to the general consensus, the uprising led by Boko Haram has caused a lot of crises. On the other hand, in recent years environmental issues have become increasingly seen as catalysts for violent conflict and humanitarian crises. This indicates that environmental concerns are becoming more polluted. Therefore, in this thesis, the Lake Chad Basin is examined for environmental reasons. In addition, future academic study has shown that environmental challenges are already being securitized and that this is not a successful strategy. Finally, the results indicate the potential risks and opportunities of a securitization strategy and represent new areas of study. Field surveys, observations and interviews are used as basic data sources as a structured questionnaire. Types of data that can assess the socio-economic characteristics of the respondents, the time spent in the area and the environmental and man-made hazards associated with pond farming practices. In this study, data on vegetation and land use are available from 1999 to 2021. According to USGS data, images used to assess changes in vegetation and land use are selected based on their availability and quality. In fact, the selected images are without cloud cover, which allows to make suspicions about land use patterns in times of doubt. Landshut and ETM + sensors, each with a spatial resolution of 30 m, were used to accurately describe the land use boundaries of the research area during the study period.For the first time, satellite remote sensing images were corrected using ground control points from regional topographic maps with the accuracy of 2-point grids. In order to eliminate errors and provide as accurate results as possible, accurate ground control points were obtained. It is essential that the images be subjected to radiometric adjustment to eliminate the signal difference caused by the replacement of the satellite sensors. NDVI (Standard Variation Vegetation Index), one of the most advanced satellite series, was used to provide control data on the presence and size of vegetation in this study. NDVI is calculated using the following formula.

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