EO-1 Advanced Land Imager overview and spatial performance

Hearn, D. R.; Digenis, Constantine John.; Lencioni, Donald E.; Mendenhall, Jeffrey A.; Evans, J.; Welsh, R.D.

doi:10.1109/igarss.2001.976673

Cited by 21 publications

(14 citation statements)

References 5 publications

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“…The ALI Level1 data measures the electromagnetic radiation in 10 spectral bands from 0.43 to 2.35 m with spatial resolution of 10 and 30 m (Hearn et al, 2001) (Table 2). The Hyperion Level1B data have 242 spectral bands spanning the VNIR spectrum between 0.4 and 2.5 m (Table 2) (Folkman et al, 2000;Pealman et al, 2001).…”

Section: Remote Sensing Datasets and Resolution Characteristicsmentioning

confidence: 99%

Land cover mapping at Alkali Flat and Lake Lucero, White Sands, New Mexico, USA using multi-temporal and multi-spectral remote sensing data

Ghrefat

Goodell

2011

International Journal of Applied Earth Observation and Geoinfor

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Section: Remote Sensing Datasets and Resolution Characteristicsmentioning

confidence: 99%

Land cover mapping at Alkali Flat and Lake Lucero, White Sands, New Mexico, USA using multi-temporal and multi-spectral remote sensing data

Ghrefat

Goodell

2011

International Journal of Applied Earth Observation and Geoinfor

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“…2000년 NASA에서 발사된 EO-1 위성은 다중 분광 센 서인 ALI, 초분광 센서인 Hyperion, 대기 보정용 센서 Atmospheric Corrector(AC)를 탑재하고 Landsat과 동일 궤 도를 시간 차이를 두고 돌고 있다 (Hearn et al, 2001;Pearlman et al, 2001). 과거 높은 비용과 영상 획득에 제 한적이었던 항공용 초분광 센서를 대신한 Hyperion은 Barry et al, 2002;Pahlevan and Schott, 2013).…”

Section: ) Eo-1 Hyperionunclassified

Validation of the Radiometric Characteristics of Landsat 8 (LDCM) OLI Sensor using Band Aggregation Technique of EO-1 Hyperion Hyperspectral Imagery

Chi¹

2013

Korean Journal of Remote Sensing

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:The quality of satellite imagery should be improved and stabilized to satisfy numerous users. The radiometric characteristics of an optical sensor can be a measure of data quality. In this study, a band aggregation technique and spectral response function of hyperspectral images are used to simulate multispectral images. EO-1 Hyperion and Landsat-8 OLI images acquired with about 30 minutes difference in overpass time were exploited to evaluate radiometric coefficients of OLI. Radiance values of the OLI and the simulated OLI were compared over three subsets covered by different land types. As a result, the index of agreement shows over 0.99 for all VNIR bands although there are errors caused by space/time and sensors.

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“…However, a massive amount of accumulated MS data has been collected around the world, and these MS data usually have higher spatial and time resolution and a wider swath than HS data. For example, MS images captured by the Advanced Land Imager (ALI) (also carried on EO-1) have the same spatial resolution as Hyperion products, but have a swath of 37 km, and the images captured by the Landsat Thematic Mapper 5/Enhanced Thematic Mapper (TM/ETM+) have a swath of 185 km [15], [16]. As the Landsat satellites and EO-1 satellite operate on the same track, the HS or MS sensors onboard can obtain data from the same location with a very small time difference.…”

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confidence: 99%

Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image

Sun

Zhang

Yang

et al. 2015

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Hyperspectral (HS) remote sensing has an important role in a wide variety of fields. However, its rapid progress has been constrained due to the narrow swath of HS images. This paper proposes a spectral resolution enhancement method (SREM) for remotely sensed multispectral (MS) image, to generate wide swath HS images using auxiliary multi/hyper-spectral data. Firstly, a set number of spectra of different materials are extracted from both the MS and HS data. Secondly, the approach makes use of the linear relationships between multi and hyper-spectra of specific materials to generate a set of transformation matrices. Then, a spectral angle weighted minimum distance (SAWMD) matching method is used to select a suitable matrix to create HS vectors from the original MS image, pixel by pixel. The final result image data has the same spectral resolution as the original HS data that used and the spatial resolution and swath were also the same as for the original MS data. The derived transformation matrices can also be used to generate multitemporal HS data from MS data for different periods. The approach was tested with three image datasets, and the spectra-enhanced and real HS data were compared by visual interpretation, statistical analysis, and classification to evaluate the performance. The experimental results demonstrated that SREM produces good image data, which will not only greatly improve the range of applications for HS data but also encourage more utilization of MS data.Index Terms-Date fusion, hyperspectral (HS) image, multispectral (MS) image, multitemporal, spectral resolution enhancement.

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EO-1 Advanced Land Imager overview and spatial performance

Cited by 21 publications

References 5 publications

Land cover mapping at Alkali Flat and Lake Lucero, White Sands, New Mexico, USA using multi-temporal and multi-spectral remote sensing data

Land cover mapping at Alkali Flat and Lake Lucero, White Sands, New Mexico, USA using multi-temporal and multi-spectral remote sensing data

Validation of the Radiometric Characteristics of Landsat 8 (LDCM) OLI Sensor using Band Aggregation Technique of EO-1 Hyperion Hyperspectral Imagery

Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image

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