Thematic information content assessment of the ASTER GDEM: a case study of watershed delineation in West Java, Indonesia

Suwandana, Endan; Kawamura, Kensuke; Sakuno, Yuji; Kustiyanto, Eko

doi:10.1080/01431161.2011.593580

Cited by 11 publications

(5 citation statements)

References 10 publications

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“…However, these results are globally in agreement with Suwandana et al's. [6] results, which show a good conformity between the topographic map and SRTM, rather than ASTER, in headwater areas which are approximately 1,900 m above sea-level. Moreover, Thomas et al [54] and Reuter et al [55] found that SRTM represents the true terrain in areas without or with very scattered vegetation cover, which is the case in this study.…”

mentioning

confidence: 78%

“…Topography represented by a DEM (digital elevation model) can be used in several applications such as erosion and landslides [1], disaster and environmental process management, hydrological attribute modeling and extraction [2,3], satellite image ortho-rectification [4], volcanic 3D modeling [5], sea level rise and flooding risk assessment [6] and coastal zone modelling. Based on the requested accuracy and/or the nature of the project, which is often determined by economic factors (investment vs.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, Thomas et al [54] and Reuter et al [55] found that SRTM represents the true terrain in areas without or with very scattered vegetation cover, which is the case in this study. Other studies in different geographic locations around the world showed that, in general, SRTM has relatively good accuracy compared to ASTER [6,42,54].…”

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confidence: 99%

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Comparison of SRTM-V4.1 and ASTER-V2.1 for Accurate Topographic Attributes and Hydrologic Indices Extraction in Flooded Areas

Bannari¹,

Kadhem²,

El-Battay³

et al. 2018

JEASE

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This research compares the potential of SRTM-V4.1 and ASTER-V2.1 with 30-m pixel size to derive topographic attributes (elevation, slopes, aspects, and flow accumulation) and hydrologic indices such as STI (sediment transport index), CTI (compound topographic index) and SPI (stream power index) to detect areas associated with flash floods caused by rainfall storms and sediment accumulation. The study area is Guelmim city in Morocco, which has been flooded several times over the past 50 years, and which was declared a "disaster area" in December 2014 after violent rainfall storms killed 46 people and caused significant damage to the infrastructure. The obtained results indicate that the SRTM DEM performs better than ASTER in terms of micro-topography, hydrologic-network and structural information characterization. In addition, with reference to a topographic contours map (1:50000), the derived global height surfaces accuracies are ±3.15 m and ±9.17 m for SRTM and ASTER, respectively. These accuracies are significantly influenced by topography; errors are larger (SRTM = 11.34 m, ASTER = 19.20 m) for high altitude terrain with strong slopes, while they are smaller (SRTM = 1.92 m, ASTER = 3.76 m) in the low to medium-relief areas with indulgent slopes. Moreover, all the considered hydrological indices are significantly characterized with SRTM compared to ASTER. They demonstrated that the rainfall and the topographic morphology are the major contributing factors in flash flooding and catastrophic inundation in this area. The runoff waterpower delivers vulnerable topsoil and contributes strongly to the erosion and transport of soil material and sediment to the plain areas through waterpower and gravity. Likewise, the role of the lithology associated with the terrain morphology is decisive in the erosion risk and land degradation in this region.

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mentioning

confidence: 78%

Section: Introductionmentioning

confidence: 99%

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Comparison of SRTM-V4.1 and ASTER-V2.1 for Accurate Topographic Attributes and Hydrologic Indices Extraction in Flooded Areas

Bannari¹,

Kadhem²,

El-Battay³

et al. 2018

JEASE

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“…The linear regression method can be used to investigate the relationship between actual and predicted variables. It helps to observe changes in the distribution of watersheds (Suwandana et al, 2012), (Ibrahim et al, 2020).…”

Section: Watershed Delineationmentioning

confidence: 99%

Determination of Parameters for Watershed delineation using various satellite derived Digital Elevation Models and its accuracy

2023

Global NEST: The International Journal

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<p>Digital Elevation Model (DEM) is an inevitable tool for many applications, such as natural resource management. In the present scenario, it is available with various resolutions from meter to sub-meter accuracy. These data are used extensively to explore the river basin's physical features by detecting and extracting watershed boundaries, elevation points, drainage networks, flow directions, and morphological parameters. Although many researchers have used DEMs to delineate the watershed boundaries of the river basin, accuracy makes the significant distinction and usage of various DEMs. In this study, the accuracy of watershed delineation derived from various open-source DEMs such as Shuttle Radar Topographic Mission (SRTM), Advanced Spaceborne Thermal Emission, and Reflection Radiometer (ASTER), Cartosat-1, and ALOS Palsar, in the vaigai river basin have been observed. The Arc SWAT hydrological modeling tool was used to delineate the watershed boundary using the DEMs mentioned above. Eventually, the outcome is validated with the help of base data received from TN-PWD (Tamilnadu Public Work Department). The results attained from the extraction of the watershed boundary from various DEMs reveal that the watershed boundary delineated from ALOS – Palsar is closely matching with the actual boundary of vaigai river basin. The regression analysis of the watershed on area and perimeter obtained from the ALOS Palsar DEM yielded R2 as 0.97 and 0.99. This R2 exhibits the close fitness of the predicted value with data obtained from TN-PWD data. The ALOS Palsar DEM provided low vertical errors and high vertical accuracy compared to other DEMs. Overall the ALOS Palsar DEM generated outcome exhibited comparatively better results than the rest of the DEMs.</p>

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“…Датчики влажности были испытаны в лабораторных и полевых условиях. Сопоставление показателей влажности, полученных термостатно-весовым способом с данными, полученными с датчиков, позволили осуществить калибровку датчиков, применительно к условиям Саратовской области [4,5,[9][10][11].…”

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Development of an intelligent control system for experimental seed production

Bakirov¹,

Mikheeva²,

Kolganov³

et al. 2023

asj

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Thematic information content assessment of the ASTER GDEM: a case study of watershed delineation in West Java, Indonesia

Cited by 11 publications

References 10 publications

Comparison of SRTM-V4.1 and ASTER-V2.1 for Accurate Topographic Attributes and Hydrologic Indices Extraction in Flooded Areas

Comparison of SRTM-V4.1 and ASTER-V2.1 for Accurate Topographic Attributes and Hydrologic Indices Extraction in Flooded Areas

Determination of Parameters for Watershed delineation using various satellite derived Digital Elevation Models and its accuracy

Development of an intelligent control system for experimental seed production

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