Academic Journal of Environment & Earth Science, 2024, 6(2); doi: 10.25236/AJEE.2024.060210.
Li Qiang, Lin Jianhang, Yang Jinyue
Geophysical Institute, Chengdu University of Technology, Chengdu, China
This article adopts a spectral feature based extraction method. After atmospheric correction and radiation correction, the original remote sensing image calculates the NDVI value of each pixel through a band calculator, and then extracts the NDVI value of a specific band through a band calculator. Obtain the extracted image, and then vectorize the extracted green space image using geographic information processing software such as Qgis or Arcgis. Next, we calculate the scale between different points in vector data and obtain the distance between two points, which is then combined with Python to use polygon segmentation to obtain the area of irregular shapes. On the basis of this data, a series of operations such as element queries and corresponding mouse events can also be performed. By using overlay, we can establish green space data from different sources for differential or overlapping analysis, which can help us clean the data and analyze its specificity in time and space.
Radiometric calibration, NDVI, Mask extraction, Visualization analysis of green spaces
Li Qiang, Lin Jianhang, Yang Jinyue. Green space processing and analysis using ENVI based on GIS. Academic Journal of Environment & Earth Science (2024), Vol. 6, Issue 2: 73-77. https://doi.org/10.25236/AJEE.2024.060210.
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