Exploring Relationships between Spatial Pattern Change in Steel Plants and Land Cover Change in Tangshan City

It is of great significance for the sustainable development steel cities to explore relationship between spatial pattern change in plants and land cover during transformation cities. To address issue unsatisfactory results segmenting based on high-resolution remote sensing images, due insufficient sample datasets task complexity, we proposed a plant segmentation strategy that combines POI data, OSM data. Additionally, discussed effect data segmentation, analyzing Tangshan City 2017–2022 its with change. The demonstrate that: (1) can significantly improve accuracy segmentation. introduction precision however, it will some extent reduce recall this phenomenon weakens as distance threshold increases. effectively effectiveness has significant limitations. (2) During 2017–2022, distribution center moved obviously southeast, positive was mainly concentrated coastal regions southern City, while negative central City. (3) There relatively strong correlation transition from vegetation built area, well cropland area.