ISPRS WG III/5
Remote Sensing and Inclusive Development to Leave No One Behind
The working group on "Remote sensing and inclusive development to leave no one behind" aims at promoting the use of remote sensing is social sciences in support of the design of social, economic and environmental integrated development strategies.
Working Group Officers
|Antonio Miguel Vieira Monteiro|
INPE - National Institute for Space Research
Av. dos Astronautas, 1758
Predio Sere I, room 42 Jd. da Granja
12227-010 - São José dos Campos
+55 12 39166835
|Gary R Watmough|
School of Geosciences
University of Edinburgh
Surgeons Square, EH8 9XP
+44 (0) 131 651 4447
Inst. för Kulturgeografi och ekonomisk geografi
223 62, Lund
+46 46 222 84 09
|Silvana Amaral |
INPE – National Institute for Space Research
Av. dos Astronautas, 1758
Jardim da Granja
São José dos Campos - SP
+55 12 996255480
Terms of Reference
- Promote scientific and technical studies that make new uses of old and new remote sensing data/databases in the context of producing new information in support of the design of social, economic and environmental integrated development strategies with emphases on multi-scale , multi-sensor and integrative approaches.
- Promote debate on importante epistemological issues such:.
- How can we add value beyond what social scientists would call "simple measures"? That translates into questions of integrating rich data collections (Remote Sensing) with scarce data (household data) but also translational issues in domain knowledge and in models assumptions.
- In spite of extraordinary achievements over the last decade from working with machine learning and RS there are few downstream applications in the study of economic livelihoods. Different epistemological grounds are some of the reasons to observed compartmentalization.
- Develop new methods, techniques and methodologies for integrating remote sensing derived data with demographic, economic, health and environmental databases. Studies for their systematization and proposals for their standardization.
- Study the use of remote sensing data in quali-quantitative approachs enhacing the field of mixed methods in social science research.
- Promote debate on how these new developments can all be integrated to create a more appropriate set of methods for semi transferable approaches which may then help to increase the take up of EO in policy as well as encourage more policy/decision makers to understand the outputs from the models
- Test and assess the quality of global remote sensing derived gridded databases on population, human settlements and poverty in regional/local settings.
- Apply remote sensing to vulnerability assessment of socioecological systems
- Foster research towards remote sensing new missions oriented to the UNO- no one left behind agenda.
- Open the dabate on data policies, privacy issues and data access related to remote sensing data in social science contexts.
- Foster the cooperation with other societies such IUSSP-International Union for the Scientific Study of Population and organisations such UNDP–United Nation Developing Program, UNFPA-United Nations Population Fund, UNO-HABITAT, UN-Habitat, WHO- World Health Organization with its Regional Offices in Africa, Americas Eastern Mediterranean, Europe, South-East Asia, Western Pacific.