Estimate of noise and systematic error in early thermal infrared data of the Moderate Resolution Imaging Spectroradiometer (MODIS)

AbstractWe test the ability of a two-dimensional flux model to simulate polynya events with narrow open-water zones by comparing model results to ice-thickness and ice-production estimates derived from thermal infrared Moderate Resolution Imaging Spectroradiometer (MODIS) observations in conjunction with an atmospheric dataset. Given a polynya boundary and an atmospheric dataset, the model correctly reproduces the shape of an 11 day long event, using only a few simple conservation laws. Ice production is slightly overestimated by the model, owing to an underestimated ice thickness. We achieved best model results with the consolidation thickness parameterization developed by Biggs and others (2000). Observed regional discrepancies between model and satellite estimates might be a consequence of the missing representation of the dynamic of the thin-ice thickening (e.g. rafting). We conclude that this simplified polynya model is a valuable tool for studying polynya dynamics and estimating associated fluxes of single polynya events.

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Thermal infrared remote sensing of volcanic emissions using the moderate resolution imaging spectroradiometer

Journal of Volcanology and Geothermal Research ◽

10.1016/s0377-0273(04)00030-7 ◽

2004 ◽

Cited By ~ 1

Author(s):

I WATSON

Keyword(s):

Remote Sensing ◽

Thermal Infrared ◽

Volcanic Emissions ◽

Thermal Infrared Remote Sensing ◽

Infrared Remote Sensing ◽

Moderate Resolution ◽

Resolution Imaging ◽

Moderate Resolution Imaging Spectroradiometer

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TVDI Obtido de Imagens OLI/TIRS e MODIS

Revista Brasileira de Meteorologia ◽

10.1590/0102-7786344070 ◽

2019 ◽

Vol 34 (4) ◽

pp. 573-583

Author(s):

Lucimara Wolfarth Schirmbeck ◽

Denise Cybis Fontana ◽

Juliano Schirmbeck ◽

Carolina Bremm

Keyword(s):

Vegetation Index ◽

Normalized Difference Vegetation Index ◽

Thermal Infrared ◽

Landsat 8 ◽

Infrared Sensor ◽

Moderate Resolution ◽

Dryness Index ◽

Resolution Imaging ◽

Moderate Resolution Imaging Spectroradiometer

Resumo O objetivo do estudo foi analisar a variabilidade no TVDI (Temperature-Vegetation Dryness Index) obtido de sensores orbitais com resoluções distintas, em região agrícola no sul do Brasil. Utilizou-se três imagens OLI/TIRS (Operational Land Imager/Thermal Infrared Sensor) do satélite Landsat 8, e 12 imagens MODIS (Moderate Resolution Imaging Spectroradiometer) do satélite Terra. Dados coletados em campo serviram como base para classificação de imagem OLI/TIRS e mapeamento de áreas de arroz, soja, campos naturais, mata ciliar e solo exposto. O TVDI foi obtido por duas parametrizações em períodos distintos, utilizando as dispersões entre Temperatura de Superfície (TS) e NDVI (Normalized Difference Vegetation Index). O TVDI obtido para ambos sensores apresentou padrão similar possibilitando diferenciar os alvos. Na média de todas as datas e classes, o TVDI obtido das imagens MODIS foi superior em 0,128 unidades ao TVDI obtido com o OLI/TIRS. Quando utilizado OLI/TIRS há um melhor detalhamento espacial das condições hídricas, mas com menor repetição ao longo da safra; já utilizando o TVDI-MODIS é possível monitorar as condições hídricas em escala regional, com menor detalhamento espacial, mas com maior repetitividade no tempo. O TVDI estimado pelos sensores OLI/TIRS e MODIS, pode ser utilizado de forma conjunta, trazendo informações complementares.

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A satellite-based analysis of the Val d'Agri Oil Center (southern Italy) gas flaring emissions

Natural Hazards and Earth System Science ◽

10.5194/nhess-14-2783-2014 ◽

2014 ◽

Vol 14 (10) ◽

pp. 2783-2793 ◽

Cited By ~ 8

Author(s):

M. Faruolo ◽

I. Coviello ◽

C. Filizzola ◽

T. Lacava ◽

N. Pergola ◽

...

Keyword(s):

Treatment Plant ◽

Environmental Complexity ◽

Gas Flaring ◽

Multi Temporal ◽

Moderate Resolution ◽

Resolution Imaging ◽

Moderate Resolution Imaging Spectroradiometer ◽

Pre Treatment ◽

Using Data ◽

Infrared Data

Abstract. In this paper, the robust satellite techniques (RST), a multi-temporal scheme of satellite data analysis, was implemented to analyze the flaring activity of the Val d'Agri Oil Center (COVA), the largest Italian gas and oil pre-treatment plant, owned by Ente Nazionale Idrocarburi (ENI). For this site, located in an anthropized area characterized by a large environmental complexity, flaring emissions are mainly related to emergency conditions (i.e., waste flaring), as industrial processes are regulated by strict regional laws. While regarding the peculiar characteristics of COVA flaring, the main aim of this work was to assess the performances of RST in terms of sensitivity and reliability in providing independent estimations of gas flaring volumes in such conditions. In detail, RST was implemented for 13 years of Moderate Resolution Imaging Spectroradiometer (MODIS) medium and thermal infrared data in order to identify the highly radiant records associated with the COVA flare emergency discharges. Then, using data provided by ENI about gas flaring volumes in the period 2003–2009, a MODIS-based regression model was developed and tested. The results achieved indicate that the such a model is able to estimate, with a good level of accuracy (R2 of 0.83), emitted gas flaring volumes at COVA.

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