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      • Model Integration of Heihe Watershed, China
        Technology, Engineering & Agriculture
        November 2019

        Model Integration of Heihe Watershed, China

        by CHENG Guodong

        This book systematically introduces the overall design and modeling methods of the integrated modeling of the Heihe River basin ecological hydrology, and the research result of the land surface process, cold upstream hydrological model integration, middle surface coupling modeling of groundwater in arid areas, as well as the ecological hydrology model integration, the whole basin natural and humanistic process coupling model, watershed decision support system and the water resources management, etc.   Table of Contents   The Foreword Chapter 1 Aims and Research Progress of Heihe Watershed Model Integration Chapter 2. Integrated Modeling Environment Chapter 3 Coupling and Integration of Atmospheric and Land Surface Processes Chapter 4 Integration of Hydrological Models in Alpine Mountainous Areas Chapter 5 Appendix Chapter 6 Model Integration of Ecological Hydrology in Heihe Middle Streams Chapter 7 The Construction of the General Equilibrium Model for Economic Calculation in the Middle Stream of Heihe River Chapter 8 Decision Support System for Water Resource Management (DSS) Chapter 9 Prospect of Watershed Model Integration References

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      • Object-Based Image Analysis of Remote Sensing: Theory and Method
        Technology, Engineering & Agriculture
        March 2020

        Object-Based Image Analysis of Remote Sensing: Theory and Method

        by MA Lei et al.

        This book mainly carries out the uncertainty research of each stage of object-based image analysis (OBIA) of remote sensing, including the object-based classification and object-based change detection, and explores the efficient classification technology and optimization models for segmentation objects. This book systematically studied the uncertainty of object-based image analysis of remote sensing. The results of OBIA are discussed in detail, including the effects of different processing processes on OBIA results, parameters and methods. A method of extracting unsupervised farmland information from object-based high-resolution remote sensing image is proposed. Using the context information provided by the segmentation object, this book also studies the extraction methods of typical cultivated land information to overcome the influence of uncertain factors on classification. A series of object-based classification optimization models based on machine learning are introduced in this book. On the basis of the uncertainty analysis and cognition of OBIA, combined with the advantages of machine learning, different optimization models were proposed for different stages of OBIA, including sampling, feature selection, classification methods, and so on.   Table of Contents   Preface Chapter 1 Introduction Chapter 2 Multiscale Segmentation Uncertainty and Segmentation Optimization Chapter 3 Analysis of Object-Based Features and Scale Effects Chapter 4 Uncertainty Research of Feature Selection Method Chapter 5 Study on the Uncertainty of Object-Based Supervision Classification Method Chapter 6 Study on the Uncertainty of Object-Based Change Detection Chapter 7 Exploration of the Object-Based Unsupervised Classification Method Chapter 8 Accuracy Assessment Methods of Object-Based Image Analysis College … Reference

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