Merged remotely sensed data for geomorphological investigations in deserts: examples from central Saudi Arabia

Al-Juaidi, Farhan H.; Millington, Andrew; McLaren, Sue

doi:10.1111/1475-4959.04973

Cited by 15 publications

(6 citation statements)

References 16 publications

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“…The band combination with the highest OIF has the highest variance and lowest duplication for the scene, and thus contains the greatest amount of information about the scene. The highest OIF for the entire study area was with Bands 1, 5, and 7, which has been used to distinguish arid landforms and gypsum crust (Al-Juaidi et al, 2003). The second-highest OIF was with Bands 4, 5, and 7.…”

Section: Landsat 7 Etm Data Processing and Analysismentioning

confidence: 97%

Digitally Mapping Gypsic and Natric Soil Areas Using Landsat ETM Data

Nield

Boettinger

Ramsey

2007

Soil Science Soc of Amer J

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Mapping salt‐affected soils in remote rangelands is challenging. We used Landsat 7 ETM data to facilitate digital mapping of gypsic and natric soil areas in the upper Colorado River drainage. Optimum index factor band combinations were used to explore the scene. Normalized difference ratio models and threshold values were developed by comparing spectral signatures with gypsic and natric soil areas verified in the field. Gypsic soil areas were mapped using the normalized difference ratio of Bands 5 and 7 with a threshold >0.11, probably related to the spectral reflectance of gypsum within a few centimeters of the surface. All sites predicted to be gypsic soil areas were determined to be gypsic by field assessment, and 87% of the field‐observed gypsic soil areas were correctly predicted. Natric soil areas were mapped using the normalized difference ratio of Bands 5 and 4 with a threshold >0.19, possibly related to the co‐occurrence of Fe‐bearing minerals with natric soil areas. Most of the sites predicted to be natric were determined in the field to be natric (82%), but only half of the field‐observed natric areas were correctly predicted, indicating that natric soils are harder to detect spectrally than gypsic soils. While the gypsic model may be transferred to other areas, particularly in the arid Colorado Plateau, transfer of natric models would be difficult. Normalized difference ratio models can be developed for other digital soil mapping areas where land surface features produce differences in Landsat spectral band reflectances.

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Section: Landsat 7 Etm Data Processing and Analysismentioning

confidence: 97%

Digitally Mapping Gypsic and Natric Soil Areas Using Landsat ETM Data

Nield

Boettinger

Ramsey

2007

Soil Science Soc of Amer J

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“…70 km southeast of Riyadh, is marked by a variety of geomorphological features including structural scarps, inselbergs, a complex drainage network, alluvial fans, outwash plains and sand dunes [71], [72]. The convergence of the Central Arabian Graben system comprised of the Nisah, Awsat, Bu‘ayja’ and Ujman, Rufa and the Mugharah grabens greatly influences the local geomorphology.…”

Section: Geomorphological and Climatological Framework And Site Locationmentioning

confidence: 99%

A Nubian Complex Site from Central Arabia: Implications for Levallois Taxonomy and Human Dispersals during the Upper Pleistocene

Crassard

Hilbert

2013

PLoS ONE

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Archaeological survey undertaken in central Saudi Arabia has revealed 29 surface sites attributed to the Arabian Middle Paleolithic based on the presence of Levallois blank production methods. Technological analyses on cores retrieved from Al-Kharj 22 have revealed specific reduction modalities used to produce flakes with predetermined shapes. The identified modalities, which are anchored within the greater Levallois concept of core convexity preparation and exploitation, correspond with those utilized during the Middle Stone Age Nubian Complex of northeast Africa and southern Arabia. The discovery of Nubian technology at the Al-Kharj 22 site represents the first appearance of this blank production method in central Arabia. Here we demonstrate how a rigorous use of technological and taxonomic analysis may enable intra-regional comparisons across the Arabian Peninsula. The discovery of Al-Kharj 22 increases the complexity of the Arabian Middle Paleolithic archaeological record and suggests new dynamics of population movements between the southern and central regions of the Peninsula. This study also addresses the dichotomy within Nubian core typology (Types 1 and 2), which was originally defined for African assemblages.

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“…Referido formato evidencia a ocorrência de áreas aluvionares, que para uma análise melhor há necessidade de levantamento topográfico em conjunto com observações pedológicas, conforme aplicado por Al-Juaidi et al (2003). Brito et al (1999) observam que, para o aproveitamento de terraços aluvionares em exploração agrícola por meio de barragens subterrâneas, os mesmos devem apresentar profundidade menor que 4 m, textura média a grossa e declividade de até 4 %.…”

Section: Figura 5 Dados Resultantes Da Classificação Semissupervisiounclassified

“…Segundo Al-Juaidi et al (2003) imagens Landsat TM têm sensibilidade na assinatura espectral para distinguir características da superfície representando potencial para…”

Section: Figura 3 Mosaico Das Imagens Landsat Tm Usadas Para O Mapeaunclassified

“…No entanto, a refletância de superfícies aluvionares tem sido estudada utilizando-se, na maioria dos casos, sensores multiespectrais (Gillespie et al, 1984). Al-Juaidi et al (2003) utilizaram imagens TM em conjunto com imagens IRS para mapear superfícies aluviais por meio de análise de componentes principais. Na metodologia desenvolvida por Gaber et al (2010) foram empregados três tipos de dados de micro-ondas, ex.…”

Section: Introductionunclassified

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Mapeamento de áreas aluvionares no semiárido brasileiro por meio de dados colaterais e imagens orbitais

Lopes

Cabral²,

Filho

et al. 2013

Rev. bras. eng. agríc. ambient.

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RESUMOA região semiárida do Brasil possui grande potencial para armazenamento de água em áreas aluvionares, podendo potencializar a pequena agricultura. Verifica-se a necessidade de uma metodologia para mapeamento dessas áreas, com o objetivo de futuros estudos in loco para implantação de barragens subterrâneas e manejo correto dos solos aluvionares. Neste sentido, objetivou-se a aplicação de imagens Landsat-Mapeador Temático 5 em conjunto com dados colaterais, como a rede de drenagem, mapa de classes de solo e mapa de relevo para auxiliar na classificação de terraços aluviais. Teve-se, como área de estudo, a bacia do Rio Pajeú, no sertão do estado de Pernambuco. Buscou-se também, por meio de dados SRTM (Shuttle Radar Topography Mission), a avaliação topográfica das áreas classificadas. Verifica-se que a utilização única de dados orbitais traz classificação incongruente mas com a inserção de dados colaterais é possível obter melhores resultados na classificação. A rede de drenagem é fundamental no mascaramento de classificações espúrias. Quando procede à análise topográfica por meio de dados do SRTM das áreas classificadas como terraços aluvionares, observa-se a inconsistência desses dados. Palavras-chave: solos aluviais, classificação supervisionada, sensoriamento remoto, relevoMapping alluvial areas in semi-arid region of Brazil through collateral data and satellite images ABSTRACT The semi-arid region of Brazil has great potential for storing water in alluvial areas, and may give support to small-scale family farming. There is a need to establish a methodology for mapping these areas with the objective of future studies to implement underground dams and suitable management of the soils that occur on alluvial terraces. In this way, the aim of this study was to apply Landsat-Thematic Mapper images together with collateral data such as the drainage network, map of soil classes and elevation data to assist in the classification of alluvial terraces. The study area was Pajeú River basin located in the 'Caatinga' ecosystem of the Pernambuco state. Topographic assessment of the alluvial areas was done by using SRTM (Shuttle Radar Topography Mission) data. It was found that the single use of orbital data brings incongruous classification, but with the inclusion of collateral data it was possible to obtain better results in classification. The drainage network was also important in masking the spurious classification. The analysis of the topography of the classified areas was inadequate using SRTM data.

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Merged remotely sensed data for geomorphological investigations in deserts: examples from central Saudi Arabia

Cited by 15 publications

References 16 publications

Digitally Mapping Gypsic and Natric Soil Areas Using Landsat ETM Data

Digitally Mapping Gypsic and Natric Soil Areas Using Landsat ETM Data

A Nubian Complex Site from Central Arabia: Implications for Levallois Taxonomy and Human Dispersals during the Upper Pleistocene

Mapeamento de áreas aluvionares no semiárido brasileiro por meio de dados colaterais e imagens orbitais

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