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Dive into the research topics where Jussara de Oliveira Ortiz is active.

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Featured researches published by Jussara de Oliveira Ortiz.


Pesquisa Agropecuaria Brasileira | 2004

Modelagem de fertilidade do solo por simulação estocástica com tratamento de incertezas

Jussara de Oliveira Ortiz; Carlos Alberto Felgueiras; Suzana Druck; Antônio Miguel Vieira Monteiro

This work described a methodology of fertility modeling that integrates chemical properties of the soil through the Monte Carlo method. The chemical attributes are spatialized, along with their estimation uncertainties, by a geostatistical procedure of random simulation. Uncertainties of the chemical properties are propagated to the resulting fertility model allowing the generation of fertility maps conditioned to preset risk levels. The method presented here is illustrated by a case study of fertility for soy culture, at the State of Santa Catarina, Brazil, considering the following chemical properties of the soil: exchangeable aluminum, potassium and cation exchange capacity.


international geoscience and remote sensing symposium | 2012

Terrahidro — A Distributed Hydrological System to delimit large basins

Eric Silva Abreu; Sergio Rosim; Camilo Daleles Rennó; João Ricardo de Freitas Oliveira; Alexandre Copertino Jardim; Jussara de Oliveira Ortiz; Luciano Vieira Dutra

This paper describes TerraHidro that is a distributed hydrologic modeling platform. TerraHidro is general purpose water resources system that presents a new concept to represent water flows based on graph structure, in the geographic information system (GIS) context. The drainage extractions and Amazonian basin delimitations using TerraHidro have been compared with ArcGis Hydro Tools regarding to drainage extractions and to show the TerraHidro availability the drainage of Amazonian sub basins, called Xingu, Purus and Tapajos are presented.


Remote Sensing for Agriculture, Ecosystems, and Hydrology XVI | 2014

Drainage network extraction of Brazilian semiarid region with potential flood indication areas

Sergio Rosim; João Ricardo de Freitas Oliveira; Jussara de Oliveira Ortiz; Miguel Zanic Cuellar; Alexandre Copertino Jardim

This region has the particularity of, at the same time, coexisting with sporadic floods and scarcity of water. This situation requires complex studies involving water resources based on runoff of rain waters and on the courses of the rivers. For the extraction of drainage was carried out by using of the system for hydrological modeling treatment TerraHidro, developed by INPEs Image Processing Division. This system uses the PFS method for extraction of drainage, which has provided good results, enabling the reduction of the time spent on manual editing of drainage errors. TerraHidro has a tool called Height Above the Nearest Drainage (HAND) which gives information on potential flood areas. Elevation data were used in the Aster GDEM with spatial resolution of 30 meters for drainage extraction. A qualitative comparison was performed between drainage extracted by TerraHidro and drainage manually extracted by a specialist.


Earth Resources and Environmental Remote Sensing/GIS Applications V | 2014

Delimitation and Analysis of Environmental Protection Areas in the Paraíba do Sul River Basin in Brazil

Jussara de Oliveira Ortiz; Sergio Rosim; Manoel Jimenez Ortiz; João Ricardo de Freitas Oliveira; Fernando Regis Siqueira

This work establishes a semi-automatic methodology to define and evaluate the Environmental Protection Areas (EPA), in the Paraíba River Basin, Brazil, taking account the land use and the water quality. The development of this work started from the water capitation point of Guaratingueta city located on the stream that runs through the city. From ASTER GDEM data the drainage network and the basin catchment was automatically extracted. Landsat images for the dates of 1989, 2001 and 2014 were digitally classified and the land uses were mapped, considering the area of permanent protection (APP) for drainage, respecting the limits indicated by Brazilian forest code. Scenes from the RapidEye satellite were used to answer questions of classification, due to good image definition. The study showed that in 1989, the total area classified as APP, 37.59% were anthropized, reaching 37.98% in 2001 and 36.98% in 2014. In a few years it was possible to associate data from water quality, measured directly at the capitation. In 2001 the water quality data showed that the intensive use of fertilizers drained into the Guaratingueta stream by rice paddies was seriously affecting the water supply of the municipality. In 2008 measures for water quality at the capitation point showed that the water resources were still impacted by agricultural activities from the rice fields. So, this work indicates the need for revitalization of the APP inside the EPA Guaratingueta in order to meet the law, protect watersheds and also avoid large investments in water treatment arriving for public consumption.


Archive | 2015

Drainage Network Definition for Low Resolution DEM Obtained from Drainage Network Extracted from High Resolution DEM Using Upscaling Processes

Sergio Rosim; Jussara de Oliveira Ortiz; João Ricardo de Freitas Oliveira; Alexandre Copertino Jardim; Eric Silva Abreu

Drainage network is basic information for developing applications involving surface and underground water resources. The determination of good quality drainage network can be extracted from altimetry grids with high or at least medium resolution. They can be used for studies in small and large watersheds. When the target is a large watershed, high and medium resolutions are not adequate. The grid resolution should be decreased and consequently the drainage network must be extracted for this new resolution. This mapping can be done in two ways. The first possibility is to extract the drainage network from the new grid altimetry. The second one is to define the new drainage network from the original drainage. In this work, the second possibility was implemented to provide the best quality drainage. The method called Priority First Search—PFS used by TerraHidro for extracting drainage from Shuttle Radar Topography Mission (SRTM) with 90 m of horizontal resolution, is described. The Upscaling process, responsible to convert high resolution drainage network to low resolution drainage network, is detailed and results are presented to show the effectiveness of the Upscaling process contained in TerraHidro. The distributed hydrologic models employed in underground waters using in many cases the network of surface drainage as basic information.


Open Journal of Soil Science | 2017

Spatial Modeling of Soil Lime Requirements with Uncertainty Assessment Using Geostatistical Sequential Indicator Simulation

Jussara de Oliveira Ortiz; Carlos Alberto Felgueiras; Eduardo Celso Gerbi Camargo; Camilo Daleles Rennó; Manoel Jimenez Ortiz


brazilian symposium on geoinformatics | 2017

Modeling and visualization of uncertainties of categorical spatial data using geostatistics, 3D planar projections and color fusion techniques.

Carlos Alberto Felgueiras; Jussara de Oliveira Ortiz; Eduardo Celso Gerbi Camargo; Laercio Massaru Namikawa; Thales Sehn Korting


Revista Brasileira de Cartografia | 2016

SPATIAL MODELING OF CATEGORICAL ATTRIBUTES USING INDICATOR SIMULATION AND SOFT INFORMATION WITH UNCERTAINTY ANALYSES

Carlos Alberto Felgueiras; Suzana Druck; Antônio Miguel Vieira Monteiro; Jussara de Oliveira Ortiz; Eduardo Celso Gerbi Camargo


Geografia | 2015

Anisotropic geostatistical modeling of carbon dioxide emissions in the Brazilian Negro basin, Pantanal Sul

Carlos Alberto Felgueiras; Eduardo Celso Gerbi Camargo; Jussara de Oliveira Ortiz


brazilian symposium on geoinformatics | 2014

Application of Geostatistical Conflation Techniques to Improve the Accuracy of Digital Elevation Models.

Carlos Alberto Felgueiras; Jussara de Oliveira Ortiz; Eduardo Celso Gerbi Camargo

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Carlos Alberto Felgueiras

National Institute for Space Research

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Eduardo Celso Gerbi Camargo

National Institute for Space Research

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João Ricardo de Freitas Oliveira

National Institute for Space Research

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Sergio Rosim

National Institute for Space Research

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Alexandre Copertino Jardim

National Institute for Space Research

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Antônio Miguel Vieira Monteiro

National Institute for Space Research

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Camilo Daleles Rennó

National Institute for Space Research

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Eric Silva Abreu

National Institute for Space Research

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Suzana Druck

Empresa Brasileira de Pesquisa Agropecuária

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Laercio Massaru Namikawa

National Institute for Space Research

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