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Dime qué tipo de vegetación tienes y te diré en qué comuna vives. La injusta distribución de la vegetación en Santiago de Chile

Bibliographic Data

ID5327418
AuthorsIgnacio Cabrera Fernández (0000-0002-3631-9932, Universidad Mayor, corresponding author)
Year2022
Issue82
Pages193-208
Publication date2022-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueRevista de geografía Norte Grande (JOURNAL)
Journal identifiersISSN: 0379-8682 • E-ISSN: 0718-3402
PublisherSciELO Agencia Nacional de Investigacion y Desarrollo (ANID) (PUBLISHER)
DOI10.4067/s0718-34022022000200193
OpenAlexW4312974626
SCIELO_PIDS0718-34022022000200193
LanguageES
Citations received4

Different studies have shown that the city of Santiago is unequal in terms of areas cove red by vegetation. However, these studies have not explored as to whether these inequa lity levels differ depending on the specific types of land- and vegetation-cover. With this aim, this study uses satellite images and spectral classification techniques to map five land-cover types (i.e. built-up, bare soil, grass, evergreen trees, deciduous trees), using these results to evaluate if inequalities in land-cover types are associated to the levels of poverty of the 34 municipalities conforming the Greater Santiago. Results show that the highest levels of inequality between municipalities are mostly driven by the coverage of trees, which is ostensibly lower in municipalities with higher poverty rates. Unfortunately, higher poverty-rate municipalities are also the ones with the highest proportion of built- up cover, leaving them with limited spaces to implement new vegetated areas. Solving this vegetation inequality problem will require advancing toward a robust urban vegeta tion monitoring system, implementing urban vegetation cover standards, and developing profound urban transformation programs

Art · Cartography · Geography · Humanities · Political science · Environmental and Cultural Studies in Latin America and Beyond · Land Use and Ecosystem Services

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Unique citing works4
Citations per year2
Citation span2024 - 2025 (2)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 4

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Open DOIOpen Access
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