Dissertation > Excellent graduate degree dissertation topics show

Remote Sensing Imagery-Based Automated Land-Use Change Study

Author: EdwardMatthewOseiJnr(AiDeHuaMaTaiAoSai)
Tutor: ZhouYunXuan
School: Jilin University
Course: Earth Exploration and Information Technology
Keywords: Land Cover Cover change Land use change Detection Research Change Detection Ecosystem Change monitoring Landscape Degree of change Image
CLC: P271
Type: PhD thesis
Year: 2005
Downloads: 1650
Quote: 0
Read: Download Dissertation


Our ability to change ourselves and our surroundings increases with each technological advance. Changes today are more extensive and occur more rapidly than ever before. The significance of these changes increases as the world’s population grows, the available land base declines, and the resiliency of our environment becomes increasingly taxed. As a result, many organizations need to monitor change in land-cover and land-use.A large portion of arid and semi-arid region is located in Eastern and Northern China. These vast landscapes are vulnerable to environmental changes and changes in surface properties caused by inappropriate or too intense land uses, inducing a significant impact on the climate through modifications of hydrological processes. According to the level of stress (of human and/or climatic origin) different degrees of soil erosion, vegetation cover decrease and, ultimately, land degradation occur. As a consequence, the hydrologic processes and patterns are altered and the overall biodiversity and productivity of the rangelands deteriorate. A close monitoring of these biomes is needed to ensure the sustainable management of these very fragile and widespread landscapes and to watch global warming-driven ecological changes potentially occurring on the desert margins which are considered the most sensitive areas.The data obtained from the Landsat Thermatic Mapper sensor provide an unique opportunity, due to its more accurate radiometric calibration and geometric registration, as well as its additional blue and SWIR spectral for possible soil corrections, to utilize remote sensing measurements to address these scientifically and socially critical issues.Change detection is a technique used to determine the change between two or more time periods of a particular object of study. Change detection is an important process in monitoring and managing natural resources and urban development because it provides quantitative analysis of the spatial distribution in the population of interest. A large number of change-detection techniques have been developed, but little has been done to quantitatively assess the accuracies of these techniques.The objective of this research is to present the change-detection procedure in the form of a successful combination of radiometric and geometric correction of the imagery and subsequent assessment of land cover change. We present here a unique means of using only Landsat imagery without reference data for the assessment of change in a semi-arid land in western Jilin during the period 2000 to 2002. Analyses of standard accuracy and spatial agreement are performed to compare the new images (hereafter called "change images") representing the change between the two dates. Spatial agreement evaluates the conformity in the classified "change pixels" and "no-change pixels" at the same location on different change images and comprehensively examines the different techniques. This method would enable authorities to monitor land degradation efficiently and accurately.This dissertation assess the information content and accuracy of Landsat ETM+ digital images in land-cover change detection in the Tongyu, Zhenlai and Baicheng areas of western Jilin, China. Change-detection techniques of spectral image differencing, normalized difference vegetation index differencing, principal components analysis, and tasseled-cap transformation differencing, albedo differencing and a combination of spectral image differencing and principal component analysis were applied to yield 18

Related Dissertations

  1. Image Analysis System of Metal Transfer of Gas Metal Arc Welding,TG444
  2. Research on Temperature Measurement Technique Based on CCD Image Sensor,TH811
  3. Research on the Image Acquisition System Based on CMOS Star Sensor,V448.2
  4. Research of Image Guided Technology for Cable Tunnel Patrol Vehicle,U469.6
  5. The City Image Analysis and Research of the Jilin City,TU984
  6. The Research on the Architecture Design of Science and Technology Museum,TU242.5
  7. Harbin City Space Environment Visual Guidance System,TU998.9
  8. Research on Waterscape Designing in the Modern Square Landscape,TU986.2
  9. Research of Aerospace Science Research and Innovation Building Design,TU244
  10. Research on Design of Teaching Buildings for Arts Departments of Higher Learning Institutions,TU244.3
  11. Research on Lapped Transform and Vector Quantization Based Image Coding Algorithm and Applications,TN919.81
  12. Superresolution of Hyperspectral Images Based on Spatial-Spectral Information Coordination,TN911.73
  13. Research on Basic Algorithms of Digital Image Processing and Implementation with FPGA,TP391.41
  14. Research on Facial Feature Extraction and Matching Algorithms for Image Retrieval,TP391.41
  15. The Research and Implemention of Image Retrieval Based on User Interested Feature,TP391.41
  16. Research of Image Mosaic Technology,TP391.41
  17. Research on Image Compression and Implementation Using TMS320C6713 Based on SPIHT Algorithm,TP391.41
  18. Research on Joint Target Detection for Dual-Sensor Image and System Implementation,TP391.41
  19. Research of Images Enhancing Algorithms on Fog or Backlighting Conditions and Implementation with Hardwares,TP391.41
  20. Application of Q-Learning in the Content-Based Image Retrieval Technology,TP391.41
  21. Research and Implementation on Content-Based Clothing Image Retrieval,TP391.41

CLC: > Astronomy,Earth Sciences > Surveying and Mapping > Cadastral school > Cadastral Survey
© 2012 www.DissertationTopic.Net  Mobile