Remote Sensing Technologies in Urban Forestry
( 25 Modules )

Module #1
Introduction to Urban Forestry
Overview of urban forestry, its importance, and challenges

Module #2
Remote Sensing Fundamentals
Introduction to remote sensing, types of sensors, and applications

Module #3
Types of Remote Sensing Technologies
Overview of active and passive remote sensing technologies, including LiDAR, radar, and multispectral/hyperspectral imaging

Module #4
Satellite Remote Sensing for Urban Forestry
Overview of satellite remote sensing platforms, such as Landsat, Sentinel-2, and Planet Labs, for urban forestry applications

Module #5
UAV/Drones in Urban Forestry
Introduction to unmanned aerial vehicles (UAVs)/drones for urban forestry data collection and applications

Module #6
Airborne LiDAR for Urban Forestry
Overview of airborne LiDAR for urban forestry, including data collection, processing, and applications

Module #7
Remote Sensing Data Preprocessing
Fundamentals of remote sensing data preprocessing, including data formats, radiometric and atmospheric corrections

Module #8
Urban Tree Species Identification using Remote Sensing
Techniques for urban tree species identification using remote sensing data, including machine learning and object-based image analysis

Module #9
Urban Forest Canopy Analysis using Remote Sensing
Methods for analyzing urban forest canopy structure and health using remote sensing data, including canopy cover, height, and density

Module #10
Urban Tree Height and Biomass Estimation using Remote Sensing
Techniques for estimating urban tree height and biomass using remote sensing data, including LiDAR and multispectral imaging

Module #11
Urban Forest Change Detection using Remote Sensing
Methods for detecting changes in urban forests using remote sensing data, including land cover change detection and disturbance mapping

Module #12
Applications of Remote Sensing in Urban Forestry Management
Overview of remote sensing applications in urban forestry management, including tree inventory, urban planning, and ecosystem services assessment

Module #13
Case Study:Urban Forest Mapping using Satellite Imagery
Hands-on exercise in mapping urban forests using satellite imagery and GIS software

Module #14
Case Study:UAV-based Urban Tree Inventory
Hands-on exercise in collecting and processing UAV-based data for urban tree inventory

Module #15
Remote Sensing for Urban Heat Island Mitigation
Applications of remote sensing for urban heat island mitigation, including land surface temperature mapping and urban heat island vulnerability assessment

Module #16
Remote Sensing for Urban Air Quality Monitoring
Applications of remote sensing for urban air quality monitoring, including aerosol and pollutant mapping

Module #17
Remote Sensing for Urban Flood Risk Assessment
Applications of remote sensing for urban flood risk assessment, including flood extent mapping and floodplain mapping

Module #18
Big Data Analytics in Urban Forestry
Introduction to big data analytics in urban forestry, including data fusion, machine learning, and data visualization

Module #19
Citizen Science and Crowdsourcing in Urban Forestry
Overview of citizen science and crowdsourcing initiatives in urban forestry, including participatory mapping and community engagement

Module #20
Data Integration and Interoperability in Urban Forestry
Importance of data integration and interoperability in urban forestry, including data standards and ontologies

Module #21
Urban Forestry Policy and Governance
Overview of urban forestry policy and governance, including national and international frameworks

Module #22
Economic Valuation of Urban Forest Ecosystem Services
Methods for economic valuation of urban forest ecosystem services, including carbon sequestration, air pollution removal, and recreational values

Module #23
Social and Human Dimensions of Urban Forestry
Importance of social and human dimensions in urban forestry, including public perception, community engagement, and environmental justice

Module #24
Future Directions in Remote Sensing for Urban Forestry
Emerging trends and future directions in remote sensing for urban forestry, including AI, IoT, and edge computing

Module #25
Course Wrap-Up & Conclusion
Planning next steps in Remote Sensing Technologies in Urban Forestry career

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Remote Sensing Technologies in Urban Forestry ( 25 Modules )

Remote Sensing Technologies in Urban Forestry
( 25 Modules )