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Some Applications of Remote Sensing and GIS Some Applications of Remote Sensing and GIS

Some Applications of Remote Sensing and GIS - PowerPoint Presentation

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Uploaded On 2018-11-08

Some Applications of Remote Sensing and GIS - PPT Presentation

Xue WANG PhD Candidate Department of Geography and Resource Management The Chinese University of Hong Kong Email wsnowlinkcuhkeduhk Visiting Fellow Mar 1 2018 Aug 31 2018 Center for Geographic Analysis CGA Harvard University ID: 721921

bua building area making building bua making area map series nike extraction height factories fraction built damage urban surface

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Slide1

Some Applications of Remote Sensing and GIS

Xue WANG

PhD Candidate, Department of Geography and Resource Management, The Chinese University of Hong Kong, Email: wsnow@link.cuhk.edu.hkVisiting Fellow (Mar 1, 2018 – Aug 31, 2018), Center for Geographic Analysis (CGA), Harvard University

1,2Slide2

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4 projects

1. Extraction of Urban Building Damage2. Building Extraction3. Estimating the Fraction of Built-up Area (BUA)4. Making Map Series of Nike FactoriesSlide3

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1. Extraction of Urban Building Damage

Reason: 1. Port au Prince of Haiti (heavily hit by an earthquake On 12 January 2010) 2. Building Damage Information: of great importance to disaster assessment 3. automatic extraction methodSlide4

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1. Extraction of Urban Building Damage

Types of building damage Automatic detection: (a) (b) (c), dramatic changes in height or surface structure2 Characteristics (1) significant change in height; (2) significant change in surface structure

(roof)Slide5

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2. Building Extraction

Satellite image (QuickBird)Height Data (LiDAR)Building Distribution General method: height data (no ground)->NDVI (no tree) -> buildingProblem: Buildings with green roofsOne solution: building -> texture of satellite image or height data is smoothSlide6

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3. Estimating the Fraction of Built-up Area (BUA)

PhD thesis: Monitoring Urban Expansion Using Time Series Multi-sensor DataFraction of Built-up Area (BUA): percentage of BUA in one pixelStudy Area: Whole ChinaData: Night time light (NTL), NDVI (vegetation index), Land Surface Temperature (LST) Spatial resolution: low-> 1 km (each pixel covers 1km×1km area, each pixel includes different land covers) Method: BUA feature->high NTL, low NDVI, high LST ->Spectral Mixture Analysis (SMA)Slide7

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3. Estimating the Fraction of Built-up Area (BUA)

BUA Fraction Result (2010):

0

1

Jing-

Jin

-Ji

Yangtze River Delta

Greater Pearl River DeltaSlide8

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4. Making Map Series of Nike Factories

Objective: Making Nike maps showing information of product type and supplierData: excel with information of location, supplier and product typeSoftware: ArcGISSlide9

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4. Making Map Series of Nike FactoriesSlide10

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4. Making Map Series of Nike Factories

Index MapSlide11

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4. Making Map Series of Nike FactoriesSlide12

Thank You !