Trosolwg
Mae'r Athro Peter North yn aelod o'r Adran Ddaearyddiaeth ym Mhrifysgol Abertawe.
Mae'r Athro Peter North yn aelod o'r Adran Ddaearyddiaeth ym Mhrifysgol Abertawe.
Fy niddordeb yw defnyddio synhwyro lloeren byd-eang o bell i wella ein dealltwriaeth o newid yn yr hinsawdd, adnoddau coedwigoedd ac yn arbennig rôl rhyngweithiadau tir/atmosffer. Rydw i wedi datblygu model trafnidiaeth ysgafn a ddefnyddir yn eang ar gyfer y parth optegol (FLIGHT), yn seiliedig ar ateb Monte Carlo o drosglwyddiad ymbelydrol (North, IEEE 1996). Defnyddir hyn i fodelu ffotosynthesis llystyfiant ac effeithlonrwydd defnydd o olau, i gysylltu sbectra wedi'u mesur â lloeren i briodoleddau arwyneb tir, ac mae wedi'i ymestyn yn ddiweddar i fodelu canfod ac amrywio golau (LiDAR) (North et al., 2010, Morton et al., 2014). Ar hyn o bryd, mae'r gorfodi gan aerosolau atmosfferig yn ansicrwydd allweddol mewn modelau newid yn yr hinsawdd, ac wrth fesur yn gywir adlewyrchiant y Ddaear. Rwyf wedi datblygu dull ar gyfer amcangyfrif llwyth aerosol atmosfferig ac adlewyrchiant wyneb, sy'n berthnasol i synwyryddion delweddu aml-ongl (North, 2002, Bevan et al., 2012). Mae'r dull bellach wedi'i roi ar waith ar gyfer offerynnau Asiantaeth Gofod Ewrop ATSR-2 ac AATSR o dan Fenter Newid yn yr Hinsawdd ESA, ac mae'n cael ei ddatblygu i'w gymhwyso i Orchwyl GMES Sentinel-3, i'w lansio yn 2015.
This module is an introduction to global environmental change and explores aspects of the issue of sustainability as it affects everyday lives. The challenge of sustainability is significant and the lectures will provide you with the information needed to engage with the UN's Sustainable Development Goals.
This module introduces the growing role of Earth Observation in Geography, in the context of monitoring global environmental change. Emphasis will be given to practical use of airborne and satellite imagery in a range of geographical applications. In addition to a grounding in the principles of remote sensing, the course will offer in-depth understanding of the use of satellite observations in the study of global change in particular of deforestation and desertification. Practical exercises will teach image processing skills and familiarity with the range of information sources available for remotely sensed imagery.
The dissertation is an original, substantive and independent research project in an aspect of Geography. It is typically based on approximately 20 - 25 days of primary research and several weeks of analysis and write-up. The end result must be less than 7,500 words of text. The dissertation offers you the chance to follow your personal interests and to demonstrate your capabilities as a Geographer. During the course of your dissertation you will be supported by a student-led discussion group and a staff supervisor, and you will also provide constructive criticism to fellow students undertaking related research projects, learning from their research problems and subsequent solutions. This support and supervision is delivered through the 'Dissertation Support' module, which is a co-requisite.
This module provides structured, student-led peer-group support and academic staff group supervision for students undertaking the 30-credit 'Dissertation Report: Geography' module. This support and supervision is assessed through the submission of a PowerPoint Poster in TB1 and the submission outline in TB2. Working within a supervised Student Peer Group, you will also have the opportunity to provide constructive criticism to fellow students undertaking related research projects, learning from their research problems and subsequent solutions. This module complements the 'Dissertation Report: Geography' module, which is a co-requisite.
An understanding of the environment is increasingly important in many areas, e.g. industry, agriculture, conservation, health, science, and planning. This module introduces computational modelling in a geographical context. It aims to develop thinking about environmental issues within a modelling framework, and to develop practical skills in developing and using computational models, and in computer data analysis and visualisation. Examples are focused on solving practical scientific problems in environmental dynamics and climate change, focussing on modelling the terrestrial carbon and hydrological cycles.
This module offers the opportunity to undertake a major individual research project in the field of Environmental Drone Remote Sensing. Support is provided by a staff supervisor and through student-led discussions. There will also be an opportunity to give constructive feedback to other students undertaking related research projects, learning from their research problems and their subsequent solutions. Provisional research results will be communicated verbally (in July and August). The final results of the thesis will be presented as the scientific paper of a leading international journal in the same field of research.
2011 - Presennol
2009 - 2011
2000 - 2009
1995 - 2000
1992 - 1995