ISPRS WG III/4

Landuse and Landcover Change Detection

Our Mission

The working group on "Landuse and landcover change detection" aims at developing landuse and landcover change detection methods and applications based on multi-sensor and multi-temporal remote sensing data in relation to environmental and socio-economical issue in the context of global change.

Working Group Officers
Chair
	Marcos Adami   Instituto Nacional de Pesquisas Espaciais - INPE Divisão de Observação da Terra e Geoinformática - DIOTG Avenida dos Astronautas, 1758 122270010 - São José dos Campos (SP) BRAZIL marcos.adami@inpe.br
Co-Chair
	Patricia Wanjiku Mwangi   Kenyatta University Department of Spatial & Environmental Planning P.O.Box 43844-00100 Nairobi KENYA mwangi.patricia@ku.ac.ke
Co-Chair
	David Galbraith   University of Leeds School of Geography Seminary St, Woodhouse Leeds LS2 9JT UK d.r.galbraith@leeds.ac.uk
Secretary
	Aline Meigins   Aline Maria Meiguins de Lima Universidade Federal do Pará Instituto de Geociências / PPGCA R. Augusto Corrêa, 01 - Guamá, 66075-110 Belém (PA) BRAZIL ameiguins@ufpa.br

Terms of Reference

• Investigate and enhance algorithms and methodologies for land-use and land-cover change mapping and/or detection.
• Further the study of remote sensing time series for land-use and land-cover changes.
• Suggest advanced solutions based on deep learning, dynamic modeling, artificial intelligence, etc. for monitoring and analyzing land-use and land-cover changes, including the context of big data.
• Further the study of the dynamics of land-use and land-cover change in different regions of the world.
• Further the research and investigations into predicting land-use and land-cover changes
• Study urban land-use development cycles and changes in rural land-use and land-cover (e.g. agriculture, forestry, recreation), based on data and information fusion.
• Foster investigations and research toward autonomous or automatic updating of spatial data bases, including using spectral and non-spectral remotely sensed data fused with data and information acquired by other sources.
• Cooperate with other Geospatial Information societies such as GEO, ICA, and FIG on Change detection based on remotely sensed data and updating of spatial data bases.