Contacts
FAQ
Home
Welcome Message
Invitation Video
Congress Promotion Video
Important Dates
Notable Deadlines
News & Media
Sponsors and Exhibitors
Contacts
Social Media
Policies
General
The Congress
Photo Highlights
Video Highlights
Organizing Committee
Organization
Professional Conference Organizer
Environmental, Social & Governance
Diversity, Equity & Inclusion
Program
Three Minute Thesis
Program at a Glance
Technical Program
Community-Contributed Sessions
Tutorials
Workshops
TIE Events
Young Professionals
Plenary Session / Opening Ceremony
Plenary Speakers
Social Events
Technical Visits
Proceedings
Venue Floorplan
Venue Plan
Destination
The City
The Venue
Accommodation
Travel & Stay
Social Life
Tours
Cultural Events
EXTREMA Global Mobile App
For Authors
Important Dates
Conference Themes
Manuscript Submission
Author Invitation Letter
Presentation Instructions
GRSS Travel Support
Student Paper Competition
Sponsors & Exhibitors
Become a Sponsor
Sponsorship & Exhibition Opportunities
Sponsors & Exhibitors
Exhibition Plan
Our Platinum Sponsor – ESA
Our Platinum Sponsor – EΥ
Media Sponsors
Registration
Registration
Visa Information
Volunteers
Family & Lactation Rooms
Terms and Conditions
Summer School
Program
Photo Highlights
Venue & Accommodation
Registration
Contact
Publicity
Interviews
Media Publicity
Social Hackathon
2024 IEEE International Geoscience and Remote Sensing Symposium
“Acting for Sustainability and Resilience”
7 - 12 July, 2024 • Athens, Greece
Previous
Next
Technical Program
Session TH1.R12
Paper TH1.R12.4
TH1.R12.4
DETECTION AND CHARACTERIZATION OF URBAN HEAT ISLANDS WITH MACHINE LEARNING
Muaaz Bhamjee, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne Vos, Levente Klein, Sibusisiwe Makhanya, Campbell Watson, Julian Kuehnert, IBM Research, South Africa
Session:
TH1.R12: Machine Learning for Modelling and Monitoring Climate Change I
Oral
Track:
Community-Contributed Sessions
Location:
MC 3.4
Presentation Time:
Thu, 11 Jul, 09:42 - 09:56
Session Chair:
Ronny Hänsch, German Aerospace Center
Presentation
Discussion
Resources
No resources available.
Session TH1.R12
TH1.R12.1: Earth Observation and Machine Learning for Climate Change
Ronny Hänsch, German Aerospace Center (DLR), Germany; Mousmi Chaurasia, Muffakham Jah College Engineering and Technology, Germany
TH1.R12.2: ENHANCING SEASONAL CLIMATE FORECASTING FOR THE ALPINE REGION THROUGH MACHINE LEARNING STATISTICAL DOWNSCALING
Suriyah Dhinakaran, University of Münster & Eurac Research, Germany; Alice Crespi, Alexander Jacob, Eurac Research, Italy; Edzer Pebesma, University of Münster, Germany
TH1.R12.3: MODELLING THE TROPOSPHERE WITH GLOBAL NAVIGATION SATELLITE SYSTEMS, METEOROLOGICAL DATA AND MACHINE LEARNING
Laura Crocetti, Matthias Schartner, Konrad Schindler, ETH Zurich, Switzerland; Rochelle Schneider, European Space Agency, Italy; Benedikt Soja, ETH Zurich, Switzerland
TH1.R12.4: DETECTION AND CHARACTERIZATION OF URBAN HEAT ISLANDS WITH MACHINE LEARNING
Muaaz Bhamjee, Hiyam Debary, Zaheed Gaffoor, Tamara Govindasamy, Craig Mahlasi, Mustansar Fiaz, Etienne Vos, Levente Klein, Sibusisiwe Makhanya, Campbell Watson, Julian Kuehnert, IBM Research, South Africa
TH1.R12.5: INVESTIGATING THE INFLUENCE OF WILDFIRES ON LAKE WATER QUALITY AT GLOBAL SCALE WITH LONG SHORT-TERM MEMORY (LSTM) MODELS
Daniela Stroppiana, Lorenzo Parigi, Gloria Bordogna, Claudia Giardino, Monica Pinardi, Giulio Tellina, Rossana Caroni, Mariano Bresciani, Consiglio Nazionale delle Ricerche (CNR), Italy; Clément Albergel, European Space Agency (ESA), United Kingdom
TH1.R12.6: INFLUENCE OF DART AND PROSPECT-PRO PARAMETERS TO ACCURATELY SIMULATE PHENOLOGICAL MIXED UNDERSTORY IN OPEN MEDITERRANEAN FOREST
Mathilda Porterie, ONERA the french aerospace lab, France; M.Pilar Martin, Vicente Burchard Levine, Rosario Gonzalez Cascon, Spanish National Research Council (CSIC), Spain; Karine Adeline, Xavier Briottet, ONERA the french aerospace lab, France
TH1.R12.7: MONITORING CROP CONDITION USING POLARIMETRIC SAR
Heather McNairn, Xianfeng Jiao, Agriculture and Agri-Food Canada, Canada
Resources
No resources available.