Big Data Analysis of Remote Sensing Monitoring of Land Cover in Wuhan City from 2000 to 2017

• Published in: IGARSS 2019 - 2019 IEEE International Geoscience and Remote Sensing Symposium pp. 4356 - 4359
• Main Authors: Wang, Zhipeng, Yan, Jining, Cheng, Luxiao, Huang, Xiaohui, Huang, Liang, Wang, Lizhe
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01.07.2019
• Subjects: Big Data Analysis; Data Cube; Green products; Indexes; Land Cover; Long Time Series; Monitoring; Remote sensing; Time series analysis; Urban areas; Vegetation mapping
• ISSN: 2153-7003
• DOI: 10.1109/IGARSS.2019.8898882

This research is based on Australian Data Cube Data Organization and Management Framework. Through data cleaning, data segmentation and data index, remote sensing observation data collected in Wuhan from 2000 to 2017, are organized into a data cube with time series as the Z-axis. Then, extraction of MODIS-NDVI data about 414 tile images. The mean value and standard deviation value of the tile matrix were calculated to detect the areas with frequent changes in vegetation coverage in Wuhan during the 18 consecutive years. The vegetation coverage curve was extracted using the time series as the z-axis to further explore the specific time nodes and change process of vegetation coverage. The experiment results show that: (1)During the period from 2000 to 2010, the area covered by vegetation in Wuhan decreased dramatically when the city expanded; (2)After 2010, due to the followup of green work in the later stages of urban development, the area of green space in Wuhan was restored; (3)In recent years, with the large-scale transportation projects carried out in Wuhan, to a certain extent, it has affected the existing green areas.