果冻影院

XClose

果冻影院 Module Catalogue

Menu

Remotely Sensing Cities and Environments (CASA0023)

Key information

Faculty
Faculty of the Built Environment
Teaching department
Centre for Advanced Spatial Analysis
Credit value
15
Restrictions
Students are required to have sufficient experience with Geographic Information Systems and Science, and be competent with the R programming language (e.g. CASA0005). Students external to CASA must contact the Module Leader, Dr Andrew MacLachlan, in the first instance to ensure the module will be a suitable fit with the student's proposed programme of study - a.maclachlan@ucl.ac.uk
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module will enable students to operationalise remotely sensed Earth observation data for informing decisions on environmental hazards arising from a changing climate, specifically in relation to (a) urban areas and (b) future urban sustainability. Firstly, the module presents an overview of the core concepts, methods and practices used to pre-process imagery underlying the discipline. Building upon this, the content focuses on advanced methodologies to extract meaning from Earth observation data and combinations of spatial data. It will examine and provide specific applied examples of achievable local, national and international policy modifications to incorporate spatial data and analytical requirements allowing data-driven optimisation of resources, maximising investment, environmental and sustainability outcomes. The module has a large practical component that is primarily taught in the R data science programming language but will briefly cover some specialist tools such as opensource geographic information systems software and cloud computing. Students will gain an operational knowledge of Earth observation data that can be drawn upon in future research or employment. The practical book for the module is available online for more detail on weekly content, however this can change annually:

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Postgraduate (FHEQ Level 7)

Teaching and assessment

Mode of study
In person
Methods of assessment
30% Other form of assessment
70% Coursework
Mark scheme
Numeric Marks

Other information

Number of students on module in previous year
56
Module leader
Dr Andrew Maclachlan
Who to contact for more information
casa-teaching@ucl.ac.uk

Last updated

This module description was last updated on 8th April 2024.

听

Useful links

Sustainability

For a list of modules related to climate change as well as social and environmental sustainability at 果冻影院, type 'climate' or 'sustainability' into the search. Visit Sustainable 果冻影院 for information on extra-curricular activity on sustainability.

Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed exams and in-class activity will be confirmed by the teaching department for the module.

听

听