Evaluation of Candidate Landsat Data Gap Sensors

Chander, Gyanesh; Stensaas, Gregory L.

doi:10.1109/igarss.2008.4779988

Cited by 3 publications

(7 citation statements)

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“…summarizes the main characteristics of TM and LISS-III sensors. Their relative spectral responses can be seen in Chander & Stensaas (2008). Only the spectral bands considered equivalents to both sensors were selected in our study: green (B2), red (B3), nearinfrared (NIR) (B4) and mid-infrared (MIR) (B5).…”

Section: Study Area and Fieldworkmentioning

confidence: 99%

“…There is a need and demand for satellite observations from moderate spatial resolution sensors (10-100 m), such as the ones aboard Landsat (Goward et al, 2009(Goward et al, , 2011, as they are adequate for global studies and detailed enough to monitor human scale processes (Xiaolin & Desheng, 2014). IRS series (Indian Remote Sensing Satellites) have been pointed out as an alternative option (Chander & Stensaas, 2008;Wulder et al, 2008;Gill et al, 2012), for comparable observations of Earth´s surface (Goward et al, 2012;Berra et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…LISS-III sensor (Linear Imaging Self Scanner-III), aboard ResourceSat-1 IRS satellite, has been pointed out as the sensor that provided the best combination with TM/Landsat 5 in terms of spectral bands and data accessibility (Chander & Stensaas, 2008;Teillet & Ren, 2008;Berra et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

“…Although ResourceSat and Landsat sensors` radiometric performances have been compared (Chander & Stensaas, 2008;Anderson et al, 2011;Gill et al, 2012) there is no study, to our knowledge, comparing the performance of LISS-III with TM for estimating forest biophysical parameters. This motivates research on their potential application within the forestry field, investigations which could allow one same phenomenon or feature to be observed at different scales.…”

Section: Introductionmentioning

confidence: 99%

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Comparison of satellite imagery from LISS-III/Resourcesat-1 and TM/Landsat 5 to estimate stand-level timber volume

2017

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Após a interrupção das atividades do Landsat 5, sensores a bordo do satélite ResourceSat-1 têm sido apontados como uma opção à série Landsat. O objetivo deste estudo é estimar volume de madeira de pinus (Pinus elliottii Engelm.) por meio de imagens dos sensores LISS-III/ResourceSat-1 e TM/Landsat 5, comparando suas performances. Valores de reflectância das quatro bandas espectrais equivalentes em ambos os sensores foram comparados quanto à sensibilidade a mudanças no volume de madeira. As tendências foram similares com relações diretas nas bandas do infravermelho próximo e relações inversas nas bandas do visível e infravermelho médio. Diferenças significativas foram encontradas somente nas bandas equivalentes do verde. Regressões lineares múltiplas foram aplicadas para selecionar as bandas espectrais que melhor explicariam as variações em volume de madeira. As equações com melhores ajustes para cada sensor foram invertidas para gerar mapas de volume de madeira, cujas estimativas foram comparadas à escala de pixel e de talhão. Nenhuma das escalas mostrou diferenças significativas entre as estimativas geradas pelos dois sensores. Concluiu-se que os sensores LISS-III e TM apresentam, em geral, desempenho muito similar para monitoramento de volume de madeira, e que o LISS-III poderia, consequentemente, ser usado em complemento ou em substituição à série Landsat.

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Section: Study Area and Fieldworkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison of satellite imagery from LISS-III/Resourcesat-1 and TM/Landsat 5 to estimate stand-level timber volume

2017

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“…The AWiFS camera operates in four spectral bands providing a spatial resolution of 56 m at nadir and covering a ground swath of 740 km. The Landsat Data Gap Study Team (LDGST) assessed the basic characteristics of multiple systems and identified sensors aboard the P6 satellite as one of the most promising sources of Landsat-like data [1].…”

Section: Introductionmentioning

confidence: 99%

Monitoring the long term stability of the IRS-P6 AWiFS sensor using the Sonoran and RVPN sites

et al. 2010

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This paper focuses on radiometric and geometric assessment of the Indian Remote Sensing (IRS-P6) Advanced Wide Field Sensor (AWiFS) sensor using the Sonoran desert and Railroad Valley Playa, Nevada (RVPN) ground sites. Imageto-Image (I2I) accuracy and relative band-to-band (B2B) accuracy were measured. I2I accuracy of the AWiFS imagery was assessed by measuring the imagery against Landsat Global Land Survey (GLS) 2000. The AWiFS images were typically registered to within one pixel to the GLS 2000 mosaic images. The B2B process used the same concepts as the I2I, except instead of a reference image and a search image; the individual bands of a multispectral image are tested against each other. The B2B results showed that all the AWiFS multispectral bands are registered to sub-pixel accuracy. Using the limited amount of scenes available over these ground sites, the reflective bands of AWiFS sensor indicate a long-term drift in the top-of-atmosphere (TOA) reflectance. Because of the limited availability of AWiFS scenes over these ground sites, a comprehensive evaluation of the radiometric stability using these sites is not possible. In order to overcome this limitation, a cross-comparison between AWiFS and Landsat 7 (L7) Enhanced Thematic Mapper Plus (ETM+) was performed using image statistics based on large common areas observed by the sensors within 30 minutes. Regression curves and coefficients of determination for the TOA trends from these sensors were generated to quantify the uncertainty in these relationships and to provide an assessment of the calibration differences between these sensors.

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Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Río Tercero reservoir (Argentina)

Bonansea

Rodríguez

Pinotti

et al. 2015

Remote Sensing of Environment

120

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Evaluation of Candidate Landsat Data Gap Sensors

Cited by 3 publications

References 0 publications

Comparison of satellite imagery from LISS-III/Resourcesat-1 and TM/Landsat 5 to estimate stand-level timber volume

Comparison of satellite imagery from LISS-III/Resourcesat-1 and TM/Landsat 5 to estimate stand-level timber volume

Monitoring the long term stability of the IRS-P6 AWiFS sensor using the Sonoran and RVPN sites

Using multi-temporal Landsat imagery and linear mixed models for assessing water quality parameters in Río Tercero reservoir (Argentina)

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