Characterizing spatial patterns of land change
The session recording will be archived on the site until June 25th, 2023
This session was streamed but not recorded
Date: 3/27/2023
Time: 2:40 PM - 4:00 PM
Room: Governors Square 11, Sheraton, Concourse Level
Type: Paper, Hybrid session with both in-person and virtual presenters
Theme:
Curated Track:
Sponsor Group(s):
Geographic Information Science and Systems Specialty Group, Remote Sensing Specialty Group, Spatial Analysis and Modeling Specialty Group
Organizer(s):
Aiyin Zhang Clark University
Chair(s):
Robert Pontius Clark University
Description:
Land change studies are getting increasing attention, as land change serves as both one of the causes and consequences of global environmental change. Recent advances such as the increasing availabilities of time-series remotely sensed data, the growing power of computing, and rapid development of machine learning algorithms have opened up new opportunities for land change studies. However, opportunities also led to new challenges. Popular land change studies focus only on reporting the net change of land cover, ignoring the spatial patterns of land change and the potential impact of the spatial arrangement of land changes on the environment. Spatial pattern metrics are popular for characterizing the spatial configuration of a landscape at a single time, but methods directly characterizing spatially explicit patterns of land change across multiple time intervals are still lacking.
Presentations (if applicable) and Session Agenda:
Richard Shaker, Ryerson University |
Hidden patterns of development in Africa with underlying sustainability and landscape correlations |
Shrobona Karkun Sen, Temple University |
Application of GLAD-ARD products for characterization of rapid land transformation in the Delhi Metropolitan Area |
Amal Aljaddani |
Socioeconomic and Environmental Scenario-based Modeling for Prediction of Future Urban Growth in Riyadh, Saudi Arabia |
Monika Calef |
Refining evergreen forest categories in historic, present, and future landcover datasets for Anchorage, Fairbanks, and Whitehorse to better identify fire risks |
Olukayode Ige |
ANALYZING LAND COVER CHANGES AROUND PROTECTED AREAS IN AFRICA. |
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Characterizing spatial patterns of land change
Description
Type: Paper, Hybrid session with both in-person and virtual presenters
Date: 3/27/2023
Time: 2:40 PM - 4:00 PM
Room: Governors Square 11, Sheraton, Concourse Level
Contact the Primary Organizer
Aiyin Zhang Clark University
aizhang@clarku.edu
Session Sponsored By
