Status of earth observing system Terra and Aqua moderate-resolution imaging spectroradiometer level 1B algorithm

2008 ◽  
Vol 2 (1) ◽  
pp. 023505 ◽  
Author(s):  
Xiaoxiong Xiong
Keyword(s):  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer

scholarly journals NASA Cold Land Processes Experiment (CLPX 2002/03): Spaceborne Remote Sensing

2008 ◽  
Vol 9 (6) ◽  
pp. 1427-1433 ◽  
Author(s):  
Robert E. Davis ◽  
Thomas H. Painter ◽  
Rick Forster ◽  
Don Cline ◽  
Richard Armstrong ◽  
...  
Keyword(s):  
Thematic Mapper ◽  
Optical Data ◽  
Imaging Spectrometer ◽  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Microwave Imager ◽  
Seawinds Scatterometer ◽  
Microwave Data

Abstract This paper describes satellite data collected as part of the 2002/03 Cold Land Processes Experiment (CLPX). These data include multispectral and hyperspectral optical imaging, and passive and active microwave observations of the test areas. The CLPX multispectral optical data include the Advanced Very High Resolution Radiometer (AVHRR), the Landsat Thematic Mapper/Enhanced Thematic Mapper Plus (TM/ETM+), the Moderate Resolution Imaging Spectroradiometer (MODIS), and the Multi-angle Imaging Spectroradiometer (MISR). The spaceborne hyperspectral optical data consist of measurements acquired with the NASA Earth Observing-1 (EO-1) Hyperion imaging spectrometer. The passive microwave data include observations from the Special Sensor Microwave Imager (SSM/I) and the Advanced Microwave Scanning Radiometer (AMSR) for Earth Observing System (EOS; AMSR-E). Observations from the Radarsat synthetic aperture radar and the SeaWinds scatterometer flown on QuikSCAT make up the active microwave data.

scholarly journals Using RST approach and EOS-MODIS radiances for monitoring seismically active regions: a study on the 6 April 2009 Abruzzo earthquake

2010 ◽  
Vol 10 (2) ◽  
pp. 239-249 ◽  
Author(s):  
N. Pergola ◽  
C. Aliano ◽  
I. Coviello ◽  
C. Filizzola ◽  
N. Genzano ◽  
...  
Keyword(s):  
Active Regions ◽  
Environmental Risks ◽  
Infrared Observations ◽  
Thermal Anomalies ◽  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Eos Modis ◽  
First Time

Abstract. In the last few years, Robust Satellite data analysis Techniques (RST) have been proposed and successfully applied for monitoring major natural and environmental risks. Among the various fields of application, RST analysis has been used as a suitable tool for satellite TIR surveys in seismically active regions, devoted to detect and monitor thermal anomalies possibly related to earthquake occurrence. In this work, RST has been applied, for the first time, to thermal infrared observations collected by MODIS (Moderate Resolution Imaging Spectroradiometer) – the sensor onboard EOS (Earth Observing System) satellites – in the case of Abruzzo (Italy) earthquake occurred on 6 April 2009 (ML~5.8). First achievements, shown in this work, seem to confirm the sensitivity of the proposed approach in detecting perturbations of the Earth�s emission thermal field few days before the event. The reliability of such results, based on the analysis of 10 years of MODIS observations, seems to be supported by the results achieved analyzing the same area in similar observation conditions but in seismically unperturbed periods (no earthquakes with ML≥5) that will be also presented.

scholarly journals Identificação e mapeamento de áreas de milho na região sul do Brasil utilizando imagens MODIS

2007 ◽  
Vol 27 (3) ◽  
pp. 753-763 ◽  
Author(s):  
José L. R. Yi ◽  
Yosio E. Shimabukuro ◽  
José A. Quintanilha
Keyword(s):  
Rio Grande ◽  
Rio Grande Do Sul ◽  
Spectral Angle Mapper ◽  
Earth Observing System ◽  
Moderate Resolution ◽  
Resolution Imaging ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
Spectral Angle

O presente trabalho teve como proposta avaliar a identificação e o mapeamento das áreas de milho da região noroeste do Estado do Rio Grande do Sul a partir de dados multitemporais do sensor MODIS (Moderate Resolution Imaging Spectroradiometer) a bordo do satélite Earth Observing System - EOS-AM (Terra). O algoritmo de classificação supervisionada Spectral Angle Mapper (SAM) foi aplicado com sucesso em uma série multitemporal de imagens EVI pré-processadas. Verificou-se que as áreas classificadas como milho na imagem coincidiam plenamente com áreas mais extensas ou contínuas (> 90 ha) de milho. Áreas de menor extensão ou localizadas em encostas de morros, ao lado de vegetação arbórea, não foram detectadas pelo classificador devido à baixa resolução espacial das imagens. A maior utilidade prática da identificação e da classificação digital das áreas de milho obtidas das imagens MODIS está na sua aplicação para isolar ou complementar o mapeamento das áreas agrícolas visando ao seu monitoramento a partir de diferentes índices de vegetação, derivados de imagens de alta resolução temporal e baixa resolução espacial.

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