Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.

The estimation of hydrological cycle variables using remote sensing data has undergone remarkable advances in recent years. Today it is possible to freely access estimates of rainfall, evapotranspiration, soil moisture, land cover and elevation, among other variables of hydrological interest. This...

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Detalles Bibliográficos
Autor principal:	Giordano, Leandro
Otros Autores:	Goniadzki, Dora Goniadzki
Formato:	Tesis Tesis doctoral acceptedVersion
Lenguaje:	Español Español
Publicado:	Universidad Nacional de Luján 2019
Materias:	Hidrología Hidrología operativa Modelación Hidrológica Dinámica del área anegada Teledetección Hidrología de Grandes Llanuras Hydrological models Flooded area dynamics Remote Sensing
Acceso en línea:	http://ri.unlu.edu.ar/xmlui/handle/rediunlu/558
Aporte de:	REDIUNLu - Repositorio Digital Institucional de Acceso Abierto - Universidad Nacional de Luján (UNLu) de Universidad Nacional de Luján (UNLu)

id	I62-R168-rediunlu-558
record_format	dspace
institution	Universidad Nacional de Luján (UNLu)
institution_str	I-62
repository_str	R-168
collection	REDIUNLu - Repositorio Digital Institucional de Acceso Abierto - Universidad Nacional de Luján (UNLu)
language	Español Español
topic	Hidrología Hidrología operativa Modelación Hidrológica Dinámica del área anegada Teledetección Hidrología de Grandes Llanuras Hydrological models Flooded area dynamics Remote Sensing
spellingShingle	Hidrología Hidrología operativa Modelación Hidrológica Dinámica del área anegada Teledetección Hidrología de Grandes Llanuras Hydrological models Flooded area dynamics Remote Sensing Giordano, Leandro Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
topic_facet	Hidrología Hidrología operativa Modelación Hidrológica Dinámica del área anegada Teledetección Hidrología de Grandes Llanuras Hydrological models Flooded area dynamics Remote Sensing
description	The estimation of hydrological cycle variables using remote sensing data has undergone remarkable advances in recent years. Today it is possible to freely access estimates of rainfall, evapotranspiration, soil moisture, land cover and elevation, among other variables of hydrological interest. This has impacted the field of hydrological modeling, either for simulation or prognosis. For example, estimates of cumulative rainfall (or evapotranspiration) are used as forcing variables in different modeling schemes. Furthermore, both the land cover and topographic information are often used to estimate parameters associated with the hydrological response (curve number) or morphological parameters (Horton's relations), involved in the development of many models. The present research focuses and exploits the links between the dynamics of the saturated surface (i.e. flooded area) and runoff in a large flatland's hydrological system under a remote sensing and hydrological modelling coupling approach. In a large flatland's hydrological system, the variability of the extend of flooded area in the valleys may be significant, and observable even at large spatial scales. Thus, it is possible to identify some kind of signal of the process by using optical remote sensing data. Then, if any data of runoff are avaiable, it is possible to analyze the structure and intensity of such links. Also, the patterns found (e.g. flooded area – runoff rating curves) may be included in a precipitationrunoff scheme, in such a way that the model parameters may be calibrated by remote sensing estimates. In a few words, the tactic adopted was the developing of an hydrological model that takes precipitation as a major input and reproduces both the dynamics of saturated area and runoff produced by the system. Then, it is possible to calibrate model's parameters with the aid of remote sensing data (i.e. saturated area estimates), under the assumption of a strong link between flooded area and runoff, and evaluate the hypothesis by comparison of simulated and observed runoff. To do this, the Alto y Medio Gualeguay river basin has been selected as study object. Also, MODIS MOD09A1 data were selected for the extraction of flooded area estimates, using a NDWI thresholding approach. First, the links between NDWI and flooded area have been studied. After that, the links between runoff and flooded area were determined by using runoff data of Gualeguay river at Rosario del Tala (outlet of Alto y Medio Gualeguay) and flooded area estimates by MODIS MOD09A1 NDWI threshold analysis. Finally, the model was developed (under a soil moisture accounting and hydrological routing lumped scheme, including flooded area – runoff patterns found) and remote sensing estimates were used for calibration. Evaluation results showed that the approach is succesfull.
author2	Goniadzki, Dora Goniadzki
author_facet	Goniadzki, Dora Goniadzki Giordano, Leandro
format	Thesis Tesis doctoral Tesis doctoral acceptedVersion
author	Giordano, Leandro
author_sort	Giordano, Leandro
title	Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
title_short	Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
title_full	Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
title_fullStr	Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
title_full_unstemmed	Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
title_sort	uso del índice normalizado de agua modis para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.
publisher	Universidad Nacional de Luján
publishDate	2019
url	http://ri.unlu.edu.ar/xmlui/handle/rediunlu/558
work_keys_str_mv	AT giordanoleandro usodelindicenormalizadodeaguamodisparamonitoreomodelacionypronosticohidrologicoenungransistemadellanuraconmorfologiafluvialtipica
bdutipo_str	Repositorios
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Uso del Índice Normalizado de Agua MODIS para monitoreo, modelación y pronóstico hidrológico en un gran sistema de llanura con morfología fluvial típica.

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