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dc.titleRemote Sensing Analysis of Water Quality in Four Waterbodies of Latin America
dc.contributor.authorLalovic, Ivan
dc.contributor.authorMiralles-Wilhelm, Fernando
dc.contributor.authorGrötsch, Philipp
dc.contributor.authorMoitié, Sara de
dc.contributor.authorBelmonte, Adam
dc.contributor.authorLee, Jihoon
dc.contributor.authorMuñoz Castillo, Raúl
dc.contributor.authorMecerreyes, Cristina
dc.contributor.authorMoreno Moreno, Henry A.
dc.contributor.authorBasani, Marcello
dc.contributor.authorBocco, María Julia
dc.contributor.authorPalacios, Amalia
dc.contributor.authorGonnelli, Gustavo
dc.contributor.authorBogado, Eduardo
dc.contributor.authorGrau, Javier
dc.contributor.editorVasquez, Eveline
dc.contributor.editorRosales, José
dc.contributor.orgunitWater and Sanitation Division
dc.coverageArgentina
dc.coverageBolivia
dc.coverageBrazil
dc.coverageParaguay
dc.coveragePeru
dc.coverageLatin America and the Caribbean
dc.date.available2024-01-08T00:01:00
dc.date.issue2024-01-08T00:01:00
dc.description.abstractThe pilot study introduces remote sensing methods for monitoring water quality to measure, understand, and manage impacts on vulnerable water bodies that are part of the IDBs Water and Sanitation portfolio. The water bodies selected for this study include: Guanabara Bay in Río de Janeiro, Brazil; Lake Titicaca in Bolivia and Peru; Ypacaraí Lake near Asunción, Paraguay; and the Río Reconquista Basin near Buenos Aires, Argentina. This study focuses on the development and implementation of an automated remote sensing data processing chain enabling detection of phytoplankton abundance (chlorophyll-a) as a proxy for pollution by organic and inorganic nutrients, as well as sediments (and turbidity or water clarity), which are the major water quality issues identified across the IDBs Water and Sanitation portfolio. In addition to providing a baseline assessment of water resources at four select locations over time, the collected remote sensing data will be used to rapidly assess changes in water quality conditions resulting from socioeconomic changes introduced by local and regional responses to the Covid-19 pandemic and associated lockdown conditions. Remote sensing applied to water quality monitoring is a valuable emerging technology that can provide geospatial data about water quality and nutrient, bacterial, and industrial pollution from urban and rural sources. The methodology presented in this paper uses cloud computing, which allows rapid monitoring deployment and scalable coverage across numerous watersheds and geographies. Although this paper presents a comprehensive analysis of this entirely new source of water quality data across the sites and locations of interest, a more detailed analysis can be performed by examining different timeframes (e.g., entire data set or monthly aggregates) within these watersheds. Additional insights may be revealed by further combining the water quality data sets of this work with other sources of information, including local sensors, information from water and sanitation utilities, and a more detailed analysis of the timing of location conditions and their local impacts.
dc.format.extent53
dc.identifier.doihttp://dx.doi.org/10.18235/0005498
dc.identifier.urlhttps://publications.iadb.org/publications/english/document/Remote-Sensing-Analysis-of-Water-Quality-in-Four-Waterbodies-of-Latin-America.pdf
dc.language.isoen
dc.publisherInter-American Development Bank
dc.subjectWater and Sanitation
dc.subjectRemote Sensing
dc.subjectWater Quality
dc.subjectLockdown
dc.subjectCoronavirus
dc.subjectNutrition
dc.subjectPandemics
dc.subjectInnovation
dc.subject.jelcodeI14 - Health and Inequality
dc.subject.jelcodeI18 - Government Policy • Regulation • Public Health
dc.subject.jelcodeI31 - General Welfare, Well-Being
dc.subject.jelcodeI38 - Government Policy • Provision and Effects of Welfare Programs
dc.subject.jelcodeQ10 - Agriculture: General
dc.subject.jelcodeQ25 - Water
dc.subject.jelcodeQ55 - Technological Innovation
dc.subject.jelcodeQ56 - Environment and Development • Environment and Trade • Sustainability • Environmental Accounts and Accounting • Environmental Equity • Population Growth
dc.subject.jelcodeR20 - Household Analysis: General
dc.subject.keywordsinnovation;Water Quality;Remote Sensing;Satellite-Imagery-Based Data;COVID-19
dc.typeTechnical Notes
idb.identifier.pubnumberIDB-TN-02869
idb.operationRG-T3722
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