The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) after fifteen years: Review of global products

Abrams, Michael J.; Tsu, Hiroji; Hulley, Glynn; Iwao, Koki; Pieri, David C.; Cudahy, Thomas; Kargel, Jeffrey S.

doi:10.1016/j.jag.2015.01.013

Cited by 117 publications

(62 citation statements)

References 26 publications

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“…This ASTER global digital elevation model (GDEM) was generated from all stereo images collected. It has a geometric resolution of one arc second, which corresponds to a pixel resolution of about 30 m [42,43]. In 2011, the second version of the ASTER GDEM was released.…”

Section: Low Resolution Digital Elevation Modelsmentioning

confidence: 99%

Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau

Kramm

Hoffmeister

Curdt

et al. 2017

IJGI

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An accurate geomorphometric description of the Iranian loess plateau landscape will further enhance our understanding of recent and past geomorphological processes in this strongly dissected landscape. Therefore, four different input datasets for four landform classification methods were used in order to derive the most accurate results in comparison to ground-truth data from a geomorphological field survey. The input datasets in 5 m and 10 m pixel resolution were derived from Pléiades stereo satellite imagery and the "Shuttle Radar Topography Mission" (SRTM), and "Advanced Spaceborne Thermal Emission and Reflection Radiometer" (ASTER GDEM) datasets with a spatial resolution of 30 m were additionally applied. The four classification approaches tested with this data include the stepwise approach after Dikau, the geomorphons, the topographical position index (TPI) and the object based approach. The results show that input datasets with higher spatial resolutions produced overall accuracies of greater than 70% for the TPI and geomorphons and greater than 60% for the other approaches. For the lower resolution datasets, only accuracies of about 40% were derived, 20-30% lower than for data derived from higher spatial resolutions. The results of the topographic position index and the geomorphons approach worked best for all selected input datasets.

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Section: Low Resolution Digital Elevation Modelsmentioning

confidence: 99%

Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau

Kramm

Hoffmeister

Curdt

et al. 2017

IJGI

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“…ASTER also provides stereoscopic vision in one band, from which the highest resolution digital elevation model on a global scale has been obtained (GDEM: Global Digital Elevation Model; Abrams et al, 2015). This model is necessary to quantify the snow cover thickness.…”

Section: Remote Sensingmentioning

confidence: 99%

Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research

Pablo

Ramos

Molina

et al. 2016

CIG

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“…The ASTER archive contains over 2.8 million scenes [2] and has provided several global products (e.g., the ASTER Global Digital Elevation Model (GDEM)) [3] and applications, for example lithological and mineral mapping [4,5] and volcanic activity monitoring [6]. ASTER delivers 60-km swath data with resolutions of 15 m over visible and near-infrared (VNIR) bands (0.52-0.86 µm), 30 m over the shortwave infrared (SWIR) band (1.60-2.43 µm) and 90 m over the thermal infrared (TIR) band (8.125-11.65 µm).…”

Section: Introductionmentioning

confidence: 99%

Inter-Band Radiometric Comparison and Calibration of ASTER Visible and Near-Infrared Bands

2015

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The present study evaluates inter-band radiometric consistency across the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) visible and near-infrared (VNIR) bands and develops an inter-band calibration algorithm to improve radiometric consistency. Inter-band radiometric comparison of current ASTER data shows a root mean square error (RMSE) of 3.8%-5.7% among radiance outputs of spectral bands due primarily to differences between calibration strategies of the NIR band for nadir-looking (Band 3N) and the other two bands (green and red bands, corresponding to Bands 1 and 2). An algorithm for radiometric calibration of Bands 2 and 3N with reference to Band 1 is developed based on the band translation technique and is used to obtain new radiometric calibration coefficients (RCCs) for sensor sensitivity degradation. The systematic errors between radiance outputs are decreased by applying the derived RCCs, which result in reducing the RMSE from 3.8%-5.7% to 2.2%-2.9%. The remaining errors are approximately equal to or smaller than the intrinsic uncertainties of inter-band calibration derived by sensitivity analysis. Improvement of the radiometric consistency would increase the accuracy of band algebra (e.g., vegetation indices) and its application. The algorithm can be used to evaluate inter-band radiometric consistency, as well as for the calibration of other sensors.

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The Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) after fifteen years: Review of global products

Cited by 117 publications

References 26 publications

Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau

Accuracy Assessment of Landform Classification Approaches on Different Spatial Scales for the Iranian Loess Plateau

Frozen ground and snow cover monitoring in the South Shetland Islands, Antarctica: Instrumentation, effects on ground thermal behaviour and future research

Inter-Band Radiometric Comparison and Calibration of ASTER Visible and Near-Infrared Bands

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