The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

Rabus, Bernhard; Eineder, Michael; Roth, Achim; Bamler, Richard

doi:10.1016/s0924-2716(02)00124-7

Cited by 1,568 publications

(1,001 citation statements)

References 14 publications

Supporting

Mentioning

894

Contrasting

Unclassified

101

Order By: Relevance

“…For the first time a global high-quality DEM was achieved with a resolution of 1 arc sec (∼ 30 m) and 3 arc sec (∼ 90 m, free availability) covering the Earth's area between 60°N and 54°S (Van Zyl, 2001). Vertical errors of the DEM are ± 16 m and ± 6 m for absolute and relative accuracy, respectively; the horizontal positional accuracy is ± 20 m at a 90% confidence level (Rabus et al, 2003). Absolute accuracy thereby relates to the error throughout the entire mission while relative accuracy describes the error at a local 200 km-scale.…”

Section: Shuttle Radar Topography Mission (Srtm)mentioning

confidence: 99%

“…The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) onboard the NASA Terra satellite has the capability of taking along-track stereo images allowing the generation of high-resolution DEMs (Kääb, 2002;Stevens et al, 2004;Kääb, 2005). The Shuttle Radar Topography Mission (SRTM) provides unique DEM data with 30 to 90 m resolution based on an InSAR campaign in February 2000 (Rabus et al, 2003). However, both ASTER and SRTM data have not yet been thoroughly exploited for mass movement modeling and related hazard assessments for volcanic regions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Huggel

Schneider

Miranda

et al. 2008

Journal of Volcanology and Geothermal Research

117

View full text Add to dashboard Cite

Lahars are among the most serious and far-reaching volcanic hazards. In regions with potential interactions of lahars with populated areas and human structures the assessment of the related hazards is crucial for undertaking appropriate mitigating actions and reduce the associated risks. Modeling of lahars has become an important tool in such assessments, in particular where the geologic record of past events is insufficient. Mass-flow modeling strongly relies on digital terrain data. Availability of digital elevation models (DEMs), however, is often limited and thus an obstacle to lahar modeling. Remote-sensing technology has now opened new perspectives in generating DEMs. In this study, we evaluate the feasibility of DEMs derived from the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and the Shuttle Radar Topography Mission (SRTM) for lahar modeling on Popocatépetl Volcano, Mexico. Two GIS-based models are used for lahar modeling, LAHARZ and a flow-routing-based debris-flow model (modified single-flow direction model, MSF), both predicting areas potentially affected by lahars. Results of the lahar modeling show that both the ASTER and SRTM DEMs are basically suitable for use with LAHARZ and MSF. Flow-path prediction is found to be more reliable with SRTM data, though with a coarser spatial resolution. Errors of the ASTER DEM affecting the prediction of flow paths due to the sensor geometry are associated with deeply incised gorges with north-facing slopes. LAHARZ is more sensitive to errors of the ASTER DEM than the MSF model. Lahar modeling with the ASTER DEM results in a more finely spaced predicted inundation area but does not add any significant information in comparison with the SRTM DEM. Lahars at Popocatépetl are modeled with volumes of 1 × 10 5 to 8 × 10 6 m 3 based on ice-melt scenarios of the glaciers on top of the volcano and data on recent and historical lahar events. As regards recently observed lahars, the travel distance of lahars of corresponding volume modeled with LAHARZ falls short by 2 to 4 km. An important finding is that the travel distance of potential lahar events modeled with LAHARZ may differ by about 2 km when using SRTM or ASTER data because of varying lateral flow-volume distribution. As a consequence, verification and sensitivity analysis of the DEM is fundamental to deriving hazard maps from predicted modeled inundation areas. Because of the global coverage of this type of remote-sensing data, the conclusion that both SRTM and ASTER-derived DEMs are feasible for lahar modeling opens a wide field of application in volcanic-hazards studies.

show abstract

Section: Shuttle Radar Topography Mission (Srtm)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Huggel

Schneider

Miranda

et al. 2008

Journal of Volcanology and Geothermal Research

117

View full text Add to dashboard Cite

show abstract

“…(RABUS et al, 2003). No aplicativo computacional ArcGis 9.2 (ESRI, 2006), foram geradas sete variáveis geomorfométricas: a) declividade, b) curvatura planar, c) perfil de curvatura, d) curvatura (combinação entre curvatura planar e perfil de curvatura), e) direção do fluxo, f) acúmulo do fluxo e g) índice de umidade topográfica (IUT) (BEVEN & KIRKBY, 1979).…”

Section: Introductionunclassified

Comparação de métodos para mapeamento digital de solos com utilização de sistema de informação geográfica

Coelho

Giasson

2010

Cienc. Rural

View full text Add to dashboard Cite

Palavras-chave: modelo digital de elevação, variáveisgeomorfométricas, classificação em estágio único, classificação hierárquica. ABSTRACT Soil maps are sources of important information for land planning and management, but are expensive to produce. This paper proposes testing and comparing single stage classification methods (Multiple Multinomial Logistic Regression and Bayes) and multiple stage classification methods (Classification and Regression Trees (CART), J48 and Logistic Model Trees (LMT)) using geographic information system and terrain parameters for producing soil maps with both original and simplified legend. The database was managed in ArcGis computer application in which the variables and the original INTRODUÇÃOMapas pedológicos são fontes de informações primordiais para planejamento e manejo de uso do solo. O Brasil possui grande parte de seu território coberto por mapas de solos pouco detalhados com escala de 1:1.000.000, produzidos a partir do ano de 1986 pelo projeto Radambrasil. Embora estejam disponíveis, esses dados têm escala muito pequena, não adequada para o gerenciamento municipal de propriedades rurais ou regiões de bacias hidrográficas. Mapas de solos mais detalhados, em escala maior, são escassos.Como os custos necessários para elaboração de mapas em escalas maiores são altos, métodos de mapeamento supervisionados estão sendo testados e analisados com a finalidade de produzir mapas pedológicos com baixo custo-benefício. Para LAGACHERIE & MCBRATNEY (2007), o mapeamento digital de solos se baseia na geração de sistemas de informações que permitem estabelecer relações matemáticas entre variáveis ambientais e classes de solos e, assim, predizer a distribuição espacial das classes de solos. Alguns métodos de mapeamento digital de solos já estão sendo utilizados, como regressões logísticas múltiplas multinomiais (GIASSON et al., 2006; CAMPLING et al., 2002), modelos logísticos com aplicação de componentes principais (TEN CATEN et al., 2009), redes neurais artificiais (SIRTOLI, 2008), classificação hierárquica e support vector machine (SVM) (BEHRENS & SCHOLTEN, 2007).Considerando-se que classificadores hierárquicos têm a capacidade de converter processos de decisão complexos em uma série de decisões simples (BREIMAN et al., 1984), aumentando, em geral, a acurácia dos resultados, o presente trabalho tem por objetivo comparar métodos de classificação em estágio único (CEU), como regressão logística múltipla multinomial (RLMM) e classificador de Bayes, e métodos de classificação hierárquica, como LMT (Logistic Model Trees), CART (Classification and Regression Trees) e o algoritmo J48 (também conhecido como C4.5), para produção de mapas detalhados de solos a partir de variáveis geomorfométricas de uma área de referência com utilização de legenda original e simplificada. (RABUS et al., 2003). No aplicativo computacional ArcGis 9.2 (ESRI, 2006), foram geradas sete variáveis geomorfométricas: a) declividade, b) curvatura planar, c) perfil de curvatura, d) curvatura (combinação entre curvatura pla...

show abstract

“…The images cover about~28,800 km 2 (~180 km by~160 km) with the slant range pixel spacing of 2.3 m and the azimuth range pixel spacing of 13.4 m. LOS has the mean incidence angle of 39.2 • and the ground track of satellite is tilted~9.6 • with respect to the N-S direction. In addition, the Digital Elevation Model (DEM) from Shuttle Radar Topography Mission (SRTM) [72] with~30 m spatial resolution is acquired to separate the phase contribution of the topography in the interferograms [73]. Moreover, the precise satellite orbit data for Sentinel-1 images is employed to guarantee the accuracy of satellite's positions and to reduce the interferogram baselines estimation error.…”

Section: Study Area and Data Coveragementioning

confidence: 99%

Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China

Liu

Sun

et al. 2017

Remote Sensing

View full text Add to dashboard Cite

Multi-temporal Interferometric Synthetic Aperture Radar (MT-InSAR) technique has proven to be a powerful tool for the monitoring of time-series ground deformations along the line-of-sight (LOS) direction. However, the one-dimensional (1-D) measurements cannot provide comprehensive information for interpreting the related geo-hazards. Recently, a novel method has been proposed to map the three-dimensional (3-D) deformation associated with underground fluid flows based on single-track InSAR LOS measurements and the deformation modeling associated with the Green's function. In this study, the method is extended in temporal domain by exploiting the MT-InSAR measurements, and applied for the first time to investigate the 3-D time series deformation over Sebei gas field in Qinghai, Northwest China with 37 Sentinel-1 images acquired during October 2014-July 2017. The estimated 3-D time series deformations provide a more complete view of ongoing deformation processes as compared to the 1-D time series deformations or the 3-D deformation velocities, which is of great importance for assessing the possible geohazards. In addition, the extended method allows for the retrieval of time series of fluid volume changes due to the gas extraction in the Sebei field, which agrees well with those from the PetroChina Qinghai Oilfield Company Yearbooks (PQOCYs). This provides a new way to study the variations of subsurface fluids at unprecedented resolution.

show abstract

The shuttle radar topography mission—a new class of digital elevation models acquired by spaceborne radar

Cited by 1,568 publications

References 14 publications

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Evaluation of ASTER and SRTM DEM data for lahar modeling: A case study on lahars from Popocatépetl Volcano, Mexico

Comparação de métodos para mapeamento digital de solos com utilização de sistema de informação geográfica

Deriving 3-D Time-Series Ground Deformations Induced by Underground Fluid Flows with InSAR: Case Study of Sebei Gas Fields, China

Contact Info

Product

Resources

About