
Research on the Construction of Urban and Rural Planning Land Classification System and Land Type Identification Based on Multi-Source Data of Internet of Things
Author(s) -
Shaobo Ning,
Zhemin Ge,
Xuan Huang
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1915/2/022088
Subject(s) - identification (biology) , land use , land information system , computer science , land use planning , environmental planning , data mining , geography , civil engineering , land management , engineering , botany , biology
At present, the classification system of urban and rural planning land still lacks the division of land functions, especially the in-depth study of land data conversion, which leads to the lack of effective use of land spatial classification data and the failure to establish effective classification system criteria. Based on this, this paper first analyses the construction of urban-rural planning land classification system and land type conversion convergence criteria, then studies the land type recognition based on multi-source data of IoT, and finally gives the optimization strategy of urban-rural planning land classification recognition based on multi-source data of IoT.