Rapid Monitoring and Identification Technology for Herbaceous Plants and Their Hotspot Habitats in Rewilding Urban Ecological Forests
Due to the shading by trees,it is difficult to use remote sensing technology to monitor the herbaceous vegetation in urban ecological forests,while manual monitoring is time-consuming and laborious.To address this challenge,this study puts the focus on habitat hotspot monitoring and identification to develop a rapid monitoring and identification technology system suitable for meso-scale urban ecological forests.With the high-resolution remote sensing images,the technology system is expected to quickly identify the spatial range with native herbaceous plants of high diversity,based which the importance sampling could be conducted.Field verification in Jinshan District of Shanghai shows that this method has good results,especially when only one sampling method could be used.The importance sampling if used along has a high detection efficiency for of native herbaceous plants at 79%,which is better than the combined use of systematic method and path method,which has a detection efficiency at 72%.When in combined use with other sampling methods,the importance sampling method can increase the efficiency of species detection by 16%to 24%.The combined use of systematic and importance sampling methods can improve the detection efficiency of native herbaceous plants up to about 88%,while the detection efficiency of native herbaceous plants using path and importance sampling method is about 96%.This indicates that there are a large number of native herbaceous plant species in habitat hotspots,and habitat hotspot identification technology is effective.Identifying the spatial range of habitat hotspots can improve the efficiency of biodiversity monitoring,reduce manpower/time costs in monitoring,and provide important spatial information for the planning,design,implementation,and evaluation of ecological restoration project.At the same time,using artificial intelligence technology can help with the research on the monitoring of public participation,reduce monitoring costs,and ensure the accuracy and sustainability of the monitoring and identification.This technology could provide a strong technical support for the rewilding of urban ecological forests,which would have broad application prospects and development potential.
urban ecological forestrewildingherbaceous planthabitat hotspotrapid monitoring and identification technology
NETL
NSTL
万方数据
