Method of Time and Space Dynamic Monitoring for Vegetation Coverage in Villages and Towns Based on TM Imagery

Lifang Wang, Fuqiang Qin, Zejun Jiang

Ekoloji, 2019, Issue 108, Pages: 575-580


Download Full Text (PDF)


For the problem that the traditional method of spatial and temporal dynamic monitoring for vegetation coverage in villages and towns has low monitoring accuracy, a method of time and space dynamic monitoring for vegetation coverage in villages and towns based on TM imagery is proposed. The ARCGIS tool is used to vectorize the township boundaries, and the TM remote sensing image preprocessing is performed by histogram matching method. Using the normalized design vegetation index, the pixel dichotomy model is used to estimate and extract vegetation coverage information. The vegetation cover level is divided according to the status of township land use, the characteristics of vegetation cover and the analytical precision of TM imagery. In ArcGIS 10.0, the change of vegetation coverage at each level is judged according to the change of the number of pixels, and the spatial and temporal dynamic monitoring of vegetation coverage is completed. The experimental results show that the proposed method has high monitoring accuracy and lays a solid foundation for the research progress in this field.


TM imagery, villages and towns, vegetation coverage, time and space dynamic monitoring


  • Bian, J, Li, A, Zhang, Z, et al. (2017) Monitoring Fractional Green Vegetation Cover Dynamics over A Seasonally Inundated Alpine Wetland Using Dense Time Series HJ-1A/B Constellation Images and An Adaptive Endmember Selection LSMM Model. Remote Sensing of Environment 197 (2):98-114.
  • Han, YC (2016) Dynamic Monitoring of Vegetation in the Control Area of Beijing-Tianjin Sandstorm Source Project Based on MODIS. Journal of Northwest Forestry University 35 (6):210-215.
  • He, Z, He, JP (2016) Spatial and Temporal Evolution of Vegetation Cover in the Yellow River Basin Based on SPOT-VGT. Ecology and Environment Sciences 74 (10):1655-1659.
  • Symeonakis, E, Petroulaki, K, Higginbottom, T (2016) Landsat-Based Woody Vegetation Cover Monitoring in Southern African Savannahs. ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7:563-567.
  • Wu J, Li X, Song Y, Shao H, Shi Q, Qin D, Xie S, Shi L (2016) The impact of a bundled policy intervention on
  • improving the performance of rural healthcare in China. International Journal for Equity in Health 15 (46). Xiao, Q, Tao, J, Xiao, Y, et al. (2017) Monitoring Vegetation Cover in Chongqing Between 2001 and 2010 Using Remote Sensing Data. Environmental Monitoring & Assessment 189 (10):493.
  • Yuan X, Liu Y (2019) Analysis of Vegetation Landscape Adjacency Characteristics based on Rural Wetland Ecosystem. Ekoloji 28 (UNSP e107360107): 3207-3217.
  • Zhang X, Wang L, Fu X, Li H, Xu C (2017) Ecological vulnerability assessment based on PSSR in Yellow River Delta. Journal of Cleaner Production 167: 1106-1111.