Avaliação da altimetria de modelos digitais de elevação obtidos a partir de sensores orbitais

Barros, Rafael Silva de

doi:10.11137/2006_2_239-240

Cited by 6 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The study basin was delineated from the DEM (Figure 6a) of 30 m spatial resolution obtained from the Shuttle Radar Topographic Mission (SRTM) (https: //earthexplorer.usgs.gov/ (accessed on 18 April 2018)) [28]. The use of this product for the Brazilian territory is satisfactory for a scale of between 1:50,000 and 1:100,000 [29]. Furthermore, this version of DEM SRTM showed better results when compared to ALOSWorld 3D and ASTER GDEM v.2 products [30].…”

Section: Swat Input Datamentioning

confidence: 99%

Application of Hydrological Modeling Related to the 2011 Disaster in the Mountainous Region of Rio De Janeiro, Brazil

Chen

Cataldi

Francisco

2023

Climate

View full text Add to dashboard Cite

Natural disasters have been responsible for thousands of deaths in recent decades that, added to the environmental, social and economic impacts, require the implementation of prevention strategies. The largest share of disasters is of hydrological origin. In this context, hydrological models are potential alternatives for monitoring and preventing events of this nature. The objective of this study was to analyze the applicability of the semi-distributed model SWAT (Soil and Water Assessment Tool) and the concentrated model SMAP (soil moisture accounting procedure) in predicting the extreme flood event that occurred in Brazil in the mountainous region of Rio de Janeiro in 2011. The results showed that the mean relative error in calibration and validation was 12% and 53% for SMAP, and 18.46% and 88.73% for SWAT, respectively. The better performance of SMAP in validation integrated with its ease of data collection, simplicity of execution and semi-automatic calibration included in its routine, allows for the conclusion that this model proved to be more suitable for hydrological monitoring. In this study, for the first time, a model of SWAT’s complexity was applied to a watershed located in the mountainous region of the state of Rio de Janeiro, a region that, unfortunately, has accounted for thousands of deaths over the past decades associated with mass movements and floods. The SWAT model, besides being able to predict the level and flow of the main course of the river and its tributaries, also enables the calculation of sediment transport in extreme events. Looking from an operational point of view, the work clearly shows how poor hydro-meteorological monitoring, as is the case in this region, makes a good quality prediction for extreme events impossible. It was demonstrated that under these conditions, a simpler and concentrated modeling approach, such as the SMAP model, is able to obtain better results than SWAT.

show abstract

Section: Swat Input Datamentioning

confidence: 99%

Application of Hydrological Modeling Related to the 2011 Disaster in the Mountainous Region of Rio De Janeiro, Brazil

Chen

Cataldi

Francisco

2023

Climate

View full text Add to dashboard Cite

show abstract

“…Sendo esta representação mais adequada que grades regulares de Modelos Digitais de Elevação (MDE), os quais podem mascarar certas feições do terreno. Barros (2006) ressalta, ainda, que o MDE representa a superfície do terreno acrescida de quaisquer objetos existentes sobre ela e que, portanto, influenciam no valor da refletância do pixel; isto é, se existirem árvores e construções, a superfície representada refere-se ao topo das mesmas e não o valor altimétrico do terreno como são representados pelos MDTs, que representam a superfície real do terreno.…”

Section: Procedimentos Metodológicosunclassified

“…E, também são melhores que os Modelos Digitais de Elevação (MDE) disponibilizados gratuitamente, como por exemplo, os produtos derivados do Shuttle Radar TopographyMission (SRTM) que representam a superfície do terreno e os objetos sobre a mesma. Como explica Grohmann (2008) para a geração dos MDE do SRTM os sinais de radar são refletidos, por exemplo, pelo dossel das árvores e não pelo terreno subjacente como já havia sido afirmado por Barros (2006).…”

Section: Procedimentos Metodológicosunclassified

Análise geomorfológica como insumo para gestão de bacias hidrográficas:o caso das inundações na bacia Grijalva-Villahermosa, México.

Silva

Silva²,

Almeida

2021

REVANPEGE

View full text Add to dashboard Cite

O artigo apresenta uma contribuição para avaliação da suscetibilidade de bacias hidrográficas à ocorrência de inundações, embasada preferencialmente em análise de aspectos geomorfológicos. A área de estudo corresponde à bacia Grijalva-Villahermosa, situada no entorno da cidade de Villahermosa, México, onde há ocorrência de inundações periódicas. Foram utilizados dados de altimetria e hidrografia para a construção do MDT, a partir do qual foi delimitada a bacia e feitas as análises referentes à compartimentação geomorfológica e a análise morfométrica. Posteriormente, foi efetuada a integração dos resultados obtidos, compondo a caracterização do meio físico da bacia hidrográfica e através de ferramentas de análise espacial em ambiente SIG gerou-se um mapa de susceptibilidade do meio físico ao desenvolvimento de inundações. Tal mapa foi analisado em conjunto com os limites de área urbana para que fossem feitas considerações para a melhor gestão da bacia hidrográfica. A mesma metodologia pode ser aplicada em outras bacias hidrográficas.

show abstract

“…In this sense we need to stay up to date on the new products, assess their potential, know your limitations to provide a basis for an evaluation grounded cost-effective. Thus, depending on the results, one can make a proposal to include some of these new technologies in cartographic production line in order to meet the demand of users who require updated mappings and whose quality can be known and trusted (Barros, 2006) .…”

Section: Geolocation Evaluation Of Rapideye 3a and 1b Orthorectifi Edmentioning

confidence: 99%

Geolocation Evaluation of Rapideye 3a and 1b Orthorectified: Case Study in São Sebastião/Sp/Brazil

Barros

Teixeira

Cruz

et al. 2015

Rev. Bras. Cartogr.

View full text Add to dashboard Cite

This study aims to present the results obtained in the geometric evaluation of two RapidEye scenes, acquired in two levels of processing: 1B and 3A. To evaluate the RapidEye 1B data, the parties were considered the two scenes that make up the 3A cut. Both 1B orthorectified scenes were considering two scenarios: using only the RPCs and also using nine-point control in the field (GCPs), and the MDE SRTM, using PCI Geomatic OrthoEngine 2013. The determination of the accuracy was made using 30 evaluation points. All points (control and evaluation) were collected in the field by making use of GNSS receivers of two frequencies through static relative positioning. For the assessment of accuracy was made comparing the coordinates of the evaluation points with their counterparts in orthoimagery (either 3A or that have been generated from 1B scenes). The 3A product has CE90 = 7.76 meters and standard deviation = 2.52 meters. When considering orthoimagery derived from the data 1B with GCPs, we have CE90 = 8.04 meters and standard deviation = 2.48 meters for February 2013 scene, and CE90 = 6.28 meters and standard deviation = 2.57 meters to the scene May 2013. For orthoimagery corrected without GCPs met CE90 = 6.8 m and standard deviation = 2.38 meters for the scene, 2013 and CE90 = 7.64 meters and standard deviation = 2.76 meters for the scene February 2013. Considering the PEC (Cartographic Accuracy Standards), the values obtained allow saying that the observed accuracies are compatible with the specified product to up the scale 1: 10,000, class B (orthoimage, 2013) and class C (orthoimagery February 2013 and 3A product). Making use of statistical inferences proposed by Vieira & Genro (2013), which estimate the accuracy for the population of the errors and the trend in the data, the results were not so good: all orthoimagery (3A, February and May 2013) would accuracy compatible with the specified product to scale 1: 25,000, class B. As the approach statistical inferences is more robust than specified in the PEC, the authors believe that the geolocation of RapidEye images evaluated in this study should be considered compatible with products in scale 1: 25,000, class B. The authors emphasize, though, that only the planimetric accuracy or the geolocation was evaluated. Products must undergo assessment of thematic accuracy to have a full assessment of your application, which is in progress.

show abstract

Avaliação da altimetria de modelos digitais de elevação obtidos a partir de sensores orbitais

Cited by 6 publications

References 0 publications

Application of Hydrological Modeling Related to the 2011 Disaster in the Mountainous Region of Rio De Janeiro, Brazil

Application of Hydrological Modeling Related to the 2011 Disaster in the Mountainous Region of Rio De Janeiro, Brazil

Análise geomorfológica como insumo para gestão de bacias hidrográficas:o caso das inundações na bacia Grijalva-Villahermosa, México.

Geolocation Evaluation of Rapideye 3a and 1b Orthorectified: Case Study in São Sebastião/Sp/Brazil

Contact Info

Product

Resources

About