Research on the Classification of Remote Sensing Construction Land in Anhui Province Based on GEE Platform
To study the urban expansion and changes in Anhui Province in the past 30 years and analyze the migration path of its development center,based on the GEE remote sensing cloud platform,NPP/VIIRS night light data is used to extract the urban area;feature data is constructed based on the original spectral bands and the features of the feature data is optimized;Using the optimized features,the Landsat image data is reclassified using the random forest(RF)algorithm within the preliminarily extracted urban area,and the extracted construction land is analyzed for center of gravity transfer.The research results show that the average OA of extracting construction land in Anhui Province is 0.978％,and the Kappa coefficient is 0.95,indicating high accuracy and reliability of the extraction results;From 1990 to 2020,the total area of urban construction land in Anhui Province expanded by 698.21％,and the expansion rate in the southern region of Anhui was relatively fast,with little difference between northern and central Anhui;The main factors that affect the initial construction of a city are economy and population.After reaching a certain level of development,there will be more other factors that affect the development of the city.
GEERF algorithmfeature optimizationexpansion of construction landexpansion driving force
万方数据
维普
