Change Detection, Monitoring and Mapping the Conditions of Rufiji Delta Using Remote Sensed Data

Authors

  • Gosbert Msogoya Kilombero Agricultural Training and Research Institute P/Bag, KATRIN, Ifakara, +255, Tanzania
  • Job Chaula University, P.O.Box 35176, Dar es salaam, 255, Tanzania

Keywords:

Change detection in Rufiji Delta, Remote sensing for Monitoring, mapping natural resources.

Abstract

The study focused on change detection, monitoring and mapping of water, forests, grasslands and wetlands resources in Rufiji Delta using remote sensed data. The general objective of the study was to complement the insitu methods for change detection with remote sensed data and GIS technique for monitoring and mapping wetlands forest, water and grasslands in Rufiji Delta. Specific objectives were to determine current status of the forests, water and wetland in Rufiji Delta using Land sat Images and develop a map of Rufiji Delta using remote sensed data. The study used LandSat Images of 1997, 2000 and 2007 which were processed using ERDAS computer software. Unsupervised classification approach specifically the Iterative Self-Organizing Data Analysis (ISODATA) algorithm was utilized. The selected AIO were subjected to Matrix Union Analysis which the techniques employed when attempting to reveal the change detection. There was an average of 7% and 12% of forest histograms that changed into grassland histograms and of grassland histogram that changed into forest histogram, respectively between years of 1997 to 2007. There was average loss of 1.73% and 1.86%% of grassland histograms that changed into wetlands histograms and wetland histograms that changed into grasslands histogram, respectively between years of 1997 to 2007. There was 0.8% and 7% average loss of histograms of wetlands which change into forests histograms and average loss of forests histograms into wetland histograms, respectively between years of 1997 to 2007. There was an average percentage loss of 0.12% and 0.26% of histograms of forests histograms that changed into water histograms and water histograms that change into forests histograms, respectively between years of 1997 to 2007. The results shows that there isdeclining trend in forests reservoir by 6.2% which changes into wetlands such situation in future will encourage water lodging conditions, soil erosion and secondary salinization during heavy rains.

The map of Rufiji Delta shows that Kiomboi, Mchinga Msufini and Nyamisati village are very close to the delta and Indian Ocean hence susceptible to on flash and sea level rise floods. Thus planning of site selection of dams and tracking canal to manage the expected floods should well establish in these villages. This study has confirmed that there is opportunity for using remote sensed data for change detection, monitoring and management of natural resources in Rufiji Delta. However the information from unsupervised classification should be used as preliminary findings that need to be supplemented with supervised classification.

References

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Published

2016-01-30

How to Cite

Msogoya, G., & Chaula, J. (2016). Change Detection, Monitoring and Mapping the Conditions of Rufiji Delta Using Remote Sensed Data. American Scientific Research Journal for Engineering, Technology, and Sciences, 16(1), 1–18. Retrieved from https://asrjetsjournal.org/index.php/American_Scientific_Journal/article/view/951

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