A study on the prediction of land use change and its spatial and temporal variability had been studied for Quy Nhon city for a period of 18 years via land change model with approaches based on remote sense images obtained from sensors Landsat and Markov string was used to model land use change. In order to predict land use changes, the study conducted on the creation of mapping land use classification from remote sensing image and to assess the accuracy of the classification result by the Kapa index. Validation will be essential to the prediction of land use changes and future urban expansion, until 2027 and 2035, contributing to the orientation of future land use planning.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Modeling land use change based on Remote Sensing, GIS and Algorithm Cellular Automata decision support sys-tem for urban sustainability planning in Quy Nhon, Binh Dinh province central Vietnam


    Weitere Titelangaben:

    Lecture Notes in Civil Engineering


    Beteiligte:
    Ha-Minh, Cuong (Herausgeber:in) / Dao, Dong Van (Herausgeber:in) / Benboudjema, Farid (Herausgeber:in) / Derrible, Sybil (Herausgeber:in) / Huynh, Dat Vu Khoa (Herausgeber:in) / Tang, Anh Minh (Herausgeber:in) / Van Phan, Tho (Autor:in) / Ngo, Tu Anh (Autor:in) / Nguyen, Huyen Thi (Autor:in) / Matos, Rute Sousa (Autor:in)


    Erscheinungsdatum :

    11.10.2019


    Format / Umfang :

    6 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






    Land planning equipment based on remote sensing

    SHI SHOUHAO / CHEN XUEYAN / WANG TIANYI et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Situation Deduction and Emergency Decision Making Algorithm for Urban Fire based on Modified Cellular Automata Method

    An, Zijing / Xu, Yingqiu / Tan, Yingzi | British Library Conference Proceedings | 2020


    Land planning system based on remote sensing

    LI YAN | Europäisches Patentamt | 2022

    Freier Zugriff