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Earth Observation for Settlement Mapping of Amazonian Indigenous Populations to Support SDG7

Authors: Javier Muro; Leo Zurita-Arthos; José Jara; Esteban Calderón; Richard Resl; Andreas Rienow; Valerie Graw;

Earth Observation for Settlement Mapping of Amazonian Indigenous Populations to Support SDG7

Abstract

Indigenous communities in the Amazon suffer from lack of access to basic services, such as electricity. Due to their isolation and difficult access it is challenging to acquire data on their location, numbers and needs, which would enable adequate development plans. Earth observation (EO), in combination with participatory mapping can support the creation of settlement maps as a basis for creating spatially explicit models of needs of basic services. Combining Landsat time series with SkySat and PlanetScope imagery, we have mapped the location and size of these settlements and modelled the number and densities of their houses. Additionally, we have projected settlement growth by 2030 in order to assess a demand of services that will be valid in the near future. We conducted surveys in 49 communities in the Ecuadorian Amazon to acquire information on the peoples’ living conditions and needs, and validated our model based on the findings. The number of buildings per cleared land had a strong linear relationship with the communities surveyed (adjusted R2 0.8). We used this linear relationship to model the number of buildings for the complete study area as well as for the 2030 settlement projection. Combining this information with data on the living conditions of indigenous communities, we can efficiently estimate the needs of basic services for larger territories and prompt development plans according to indigenous peoples’ needs and wishes.

Keywords

Science, Q, Sustainable Development Goals, indigenous communities, Google Earth Engine, Landsat, settlement mapping

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    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
5
Top 10%
Average
Average
gold