Open AccessMethods to model impermeable URBAN areas using soil moisture characteristics
Author(s) -
Pereira Luciana Escalante,
Oliveira Everton Falcão,
da Rosa Oliveira Maxwell,
Marques Amorim Gustavo,
Grigio Alfredo Marcelo,
Filho Antonio Conceição Paranhos
Publication year - 2019
Publication title -
journal of flood risk management
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.049
H-Index - 36
ISSN - 1753-318X
DOI - 10.1111/jfr3.12480
Subject(s) - impervious surface , waterproofing , environmental science , hydrology (agriculture) , context (archaeology) , flooding (psychology) , vegetation (pathology) , index (typography) , urban area , surface runoff , flood myth , geotechnical engineering , geography , civil engineering , geology , computer science , engineering , medicine , psychology , ecology , economy , archaeology , pathology , world wide web , economics , psychotherapist , biology
Impervious, “waterproofed” soil affects both large cities and small towns and causes several problems, with flooding being the most more evident. In the context of impermeability, the application of remote sensing techniques facilitates the identification of prime areas in urban centres that require intervention for flood control. The present work combined radiometric data from the Normalized Difference Vegetation Index and the Normalized Difference Water Index to identify impermeability models for urban centres and generated two impermeable surface analysis methods: the Surface Waterproofing Index (SWI) and the Urban Surface Waterproofing Index (USWI). The two methods were tested in Corumba and Ladario, urban centres with humid climates and located in the Brazilian Pantanal. Statistically, both methods were considerably successful (>75%), with SWI obtaining better results. The USWI did not perform as well at measuring waterproofing levels, producing results that were more useful for indicating whether an area was impermeable or not.