VEGETATION COVERAGE AND IMPERVIOUS SURFACE AREA ESTIMATED BASED ON THE ESTARFM MODEL AND REMOTE SENSING MONITORING
Autor: | Shu Wang, Rongming Hu, Jiao Guo, Liankun Guo |
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Jazyk: | angličtina |
Rok vydání: | 2018 |
Předmět: |
lcsh:Applied optics. Photonics
010504 meteorology & atmospheric sciences lcsh:T 0211 other engineering and technologies lcsh:TA1501-1820 Coverage data 02 engineering and technology Vegetation 01 natural sciences lcsh:Technology Remote sensing (archaeology) lcsh:TA1-2040 Temporal resolution Impervious surface Environmental science Spatial variability Spatial dependence lcsh:Engineering (General). Civil engineering (General) Spatial analysis 021101 geological & geomatics engineering 0105 earth and related environmental sciences Remote sensing |
Zdroj: | ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol IV-3, Pp 113-119 (2018) |
ISSN: | 2194-9050 2194-9042 |
Popis: | Impervious surface area and vegetation coverage are important biophysical indicators of urban surface features which can be derived from medium-resolution images. However, remote sensing data obtained by a single sensor are easily affected by many factors such as weather conditions, and the spatial and temporal resolution can not meet the needs for soil erosion estimation. Therefore, the integrated multi-source remote sensing data are needed to carry out high spatio-temporal resolution vegetation coverage estimation. Two spatial and temporal vegetation coverage data and impervious data were obtained from MODIS and Landsat 8 remote sensing images. Based on the Enhanced Spatial and Temporal Adaptive Reflectance Fusion Model (ESTARFM), the vegetation coverage data of two scales were fused and the data of vegetation coverage fusion (ESTARFM FVC) and impervious layer with high spatiotemporal resolution (30 m, 8 day) were obtained. On this basis, the spatial variability of the seepage-free surface and the vegetation cover landscape in the study area was measured by means of statistics and spatial autocorrelation analysis. The results showed that: 1) ESTARFM FVC and impermeable surface have higher accuracy and can characterize the characteristics of the biophysical components covered by the earth's surface; 2) The average impervious surface proportion and the spatial configuration of each area are different, which are affected by natural conditions and urbanization. In the urban area of Xi'an, which has typical characteristics of spontaneous urbanization, landscapes are fragmented and have less spatial dependence. |
Databáze: | OpenAIRE |
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