New method to identify illegal uses of water by using remote sensing and neural network in Laguna de Aculeo, Chile
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MS-GIST_2022_Venegas-Quinones.pdf
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MS-GIST Report
Issue Date
2022Keywords
Remote sensingNeural network
Laguna Aculeo
Aculeo Lagoon
Normalized Difference Vegetation Index (NDVI)
Enhanced Vegetation Index (EVI)
Green Normalized Difference Vegetation Index (GNDV)
Soil Adjusted Vegetation Index (SAVI)
Normalized Difference Moisture Index (NDMI)
Moisture Stress Index (MSI)Bare Soil Index (BSI)Water scarcitysupervised and unsupervised classification
Advisor
Sanchez Trigueros, FernandoMetadata
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The University of Arizona.Rights
Copyright © is held by the author. Digital access to this material is made possible by the University Libraries, University of Arizona. Further transmission, reproduction or presentation (such as public display or performance) of protected items is prohibited except with permission of the author.Collection Information
This item is part of the MS-GIST Master's Reports collection. For more information about items in this collection, please contact the UA Campus Repository at repository@u.library.arizona.edu.Abstract
The Aculeo lagoon basin has been declared an emergency drought place, limiting water usage strictly for domestic use. Chile's laws impose economic sanctions on individuals who use water resources to irrigate grass in these places. This project evaluates the healthy lawn condition in a specific dry season (period without rain events) to identify the areas that have potentially been using the water resource illegally by using multi-spectral and multitemporal free satellite data at the Aculeo lagoon basin. We derive different soil indices, the Normalized Difference Vegetation Index (NDVI), Enhanced Vegetation Index (EVI), Green Normalized Difference Vegetation Index (GNDVI), Soil Adjusted Vegetation Index (SAVI), Normalized Difference Moisture Index (NDMI), Moisture Stress Index (MSI), and Bare Soil Index (BSI) during October 2021 to April 2022. Also, we perform a cluster analysis to evaluate the statistical distribution of healthy vegetation cover. All the results are available in an ArcGIS interactive web map. This research proves some properties have probably used water to irrigate lawns because their health has maintained or increased over time. Thus, we estimate the lawn areas in the basin and their water consumption to illustrate how much water has been used illegally. In addition, the cluster analysis demonstrates a consistent pattern of healthy vegetation covers, concluding that these groupings are unusual compared to the entire basin. We present tools and protocols to be used in areas of water scarcity to identify locations that use the water resource illegally, helping governmental authorities to accomplish personal inspections and impose legal sanctions.Type
Electronic Reporttext
Degree Name
M.S.Degree Level
mastersDegree Program
Geographic Information Systems TechnologyDegree Grantor
University of ArizonaCollections
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