GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong

urban morphology analysis maps

Method
- Data
- Analysis of spatial autocorrelation
- Kolmogorov–Smirnov test
GIS-based LCZ classification and urban geometric analysis
- Development of land surface analysis maps for LCZ classification
- - Building height (BH) map
  - Building surface fraction (BSF) map
  - Sky view factor (SVF) map
  - Aspect ratio/height width ratio (H/W) map
  - Pervious surface fraction (PSF) map
  - Impervious surface fraction (ISF) map
  - Land use (LU) map

Method

Data

Building data：building footprint，building height
Street data
Topography data
Land use data 15 m-resolution
Remote sensing images

Analysis of spatial autocorrelation

Spatial autocorrelation reveals the geographical phenomenon that things closer display more similarity than those further away

确定grid大小

Kolmogorov–Smirnov test

Kolmogorov–Smirnov test (K-S test) is a nonparametric test to examine whether two datasets differentiate significantly.

to determine if different geolocations of the raster grid system influence the statistics of LCZ classification criteria

GIS-based LCZ classification and urban geometric analysis

Development of land surface analysis maps for LCZ classification

Building height (BH) map

Building height is mean building height of an LCZ grid, weighted with the footprint area of buildings.

Building surface fraction (BSF) map

compact or open

Sky view factor (SVF) map

Aspect ratio/height width ratio (H/W) map

Pervious surface fraction (PSF) map

Impervious surface fraction (ISF) map

Land use (LU) map

the BH map and BSF map were used to identify the building-type LCZ classes
seven land cover types have been classified according to the dominant land cover types

论文笔记4：GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong相关推荐

论文笔记： Local climate zone mapping as remote sensing scene classifcation using deep learning: A case s
论文笔记1: Local climate zone mapping as remote sensing scene classifcation using deep learning: A case ...
交通预测论文笔记《Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting》
AAAI2019 0 摘要交通流数据通常有很高的非线性和很复杂的特征.目前很多交通预测的方法缺乏对交通数据时空相关性的动态建模. 本文提出了一种基于注意力的时空图卷积神经网络(ASTGCN)来解决交 ...
论文《FLAME:Feature-Likeilhood Based Mapping and Localization for Autonomous Vehicles》阅读总结
摘要准确的车辆定位是自动驾驶导航最关键也是最基本的任务.虽然基于密集3D点云的地图可以进行准确地定位,但是在城市规模的环境中使用时,它们会带来巨大的存储负担和传输负担. 在本文中,我们提出了一种用于 ...
【论文笔记】Geometry based exhaustive line correspondence determination* ICRA2016
当无法获得可靠的纹理信息来识别线条特征时,另一种选择是探索模型和相机的各种可能配置,直到我们获得图像和模型特征之间的几何一致性对应. 这包括两种类型的探索,(i)搜索对应地图空间[9],[10](ii ...
论文笔记11：Understanding the seasonal variations of land surface temperature in Nanjing urban area based
Understanding the seasonal variations of land surface temperature in Nanjing urban area based on loc ...
论文笔记目录（ver2.0）
1 时间序列 1.1 时间序列预测论文名称来源主要内容论文笔记:DCRNN (Diffusion Convolutional Recurrent Neural Network: Data-Dr ...
论文笔记—A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping
论文笔记-A Review of Visual-LiDAR Fusion based Simultaneous Localization and Mapping 论文链接文章摘要 ~~~~ ~ ...
小样本论文笔记5：Model Based - [6] One-shot learning with memory-augmented neural networks.
小样本论文笔记5:Model Based - [6] One-shot learning with memory-augmented neural networks 文章目录小样本论文笔记5:Mod ...
论文笔记（八）：360 VR Based Robot Teleoperation Interface for Virtual Tour
360 VR Based Robot Teleoperation Interface for Virtual Tour 文章概括摘要 1. 介绍 2. 方法和系统设计 2.1 系统结构 2.2 远程 ...

论文笔记4：GIS-based mapping of Local Climate Zone in the high-density city of Hong Kong

目录