Relevant bibliographies by topics / Spaceborne sensors

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  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Spaceborne sensors'

Author: Grafiati
Published: 4 June 2021
Last updated: 16 February 2022

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Journal articles on the topic "Spaceborne sensors"

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Bentz, Cristina Maria, and Josemá Oliveira de Barros. "A MULTI-SENSOR APPROACH FOR OIL SPILL AND SEA SURFACE MONITORING, IN SOUTHEASTERN BRAZIL." International Oil Spill Conference Proceedings 2005, no. 1 (May 1, 2005): 703–6. http://dx.doi.org/10.7901/2169-3358-2005-1-703.

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ABSTRACT Since May 2001 PETROBRAS is using spaceborne multi-sensor remote sensing for its sea surface monitoring program at the Campos, Santos and Espirito Santo Basins, southeastern Brazilian coast. This area is presently responsible for about 80% of all the Brazilian oil and gas production. Ocean color (SeaWiFS and MODIS), thermal infrared (NOAA/AVHRR), scatterometer (QuikSCAT) and Synthetic Aperture Radar (RADARSAT-1 and ENVISAT) data were integrated in order to detect and characterize different sorts of marine pollution and meteo-oceanographic phenomena. The near real time processing and delivery of the SAR data allowed the timely in-situ verification and sampling of the remotely detected events. Satellite sensors operating in the visible part of the spectrum are used to monitor ocean color variations and associated biomass changes. Thermal infrared radiometers are ideal to monitor features like oceanic fronts and upwelling plumes. However, the major limitation for both types of sensors is the extensive and persistent presence of clouds in the monitored area. Fortunately, microwave sensors such imaging spaceborne Synthetic Aperture Radars (SAR) permit the acquisition of oceanic scenes, regardless cloud coverage. With the spaceborne SAR systems available it is possible to have almost a daily synoptic view of large areas with suitable spatial resolution for the detection of different natural and men-made events. The integrated analysis of these dataset presents an important decision tool for emergencies, as well for the elaboration of contingency plans and evaluation of the oil industry activity impacts.
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Poli, Daniela. "A Rigorous Model for Spaceborne Linear Array Sensors." Photogrammetric Engineering & Remote Sensing 73, no. 2 (February 1, 2007): 187–96. http://dx.doi.org/10.14358/pers.73.2.187.

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Haji Gholizadeh, Mohammad, Assefa M. Melesse, and Lakshmi Reddi. "Spaceborne and airborne sensors in water quality assessment." International Journal of Remote Sensing 37, no. 14 (June 28, 2016): 3143–80. http://dx.doi.org/10.1080/01431161.2016.1190477.

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Gillespie, Thomas W., Katherine S. Willis, and Stacey Ostermann-Kelm. "Spaceborne remote sensing of the world’s protected areas." Progress in Physical Geography: Earth and Environment 39, no. 3 (December 9, 2014): 388–404. http://dx.doi.org/10.1177/0309133314561648.

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There has been a rapid evolution of satellites, sensors, and techniques to measure, monitor, and manage terrestrial protected areas. There are over 100,000 protected areas around the world and most lack important information on the status and trends of natural resource issues. We review advances and limitations in spaceborne remote sensing that can be applied to all terrestrial protected areas around the world. There have been significant advances in baseline vegetation mapping and land cover classifications by combining field data, data from multiple sensors, and classification techniques. However, global classifications on the extent of non-forest vegetation types (e.g. grasslands and shrublands) are still needed at 30 m pixel resolution. High spatial (< 1 m) and spectral (220 bands) resolution sensors have provided important data on environmental issues (e.g. invasive species, degradation) that are region or site specific. Advances in monitoring protected areas have primarily focused on forest ecosystems and land cover dynamics in and around protected areas using time series data. Landsat imagery can be used to monitor vegetation extent and dynamics at 30 m pixel resolution across the globe, while the MODIS sensors are more appropriate for monthly updates on trends of ecosystem health in protected areas. There has also been an increase in time series remote sensing datasets on anthropogenic impacts, such as light pollution, fire, and land surface temperature, that can be used for all protected areas. Future geographic research should focus on developing global protocols and incorporating near real time and annual metrics that can easily be used by natural resource managers to assess the status and trends of all protected areas.
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Magnes, W., M. Oberst, A. Valavanoglou, H. Hauer, C. Hagen, I. Jernej, H. Neubauer, et al. "Highly integrated front-end electronics for spaceborne fluxgate sensors." Measurement Science and Technology 19, no. 11 (September 30, 2008): 115801. http://dx.doi.org/10.1088/0957-0233/19/11/115801.

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Singh, K. P. "Monitoring of oil spills using airborne and spaceborne sensors." Advances in Space Research 15, no. 11 (January 1995): 101–10. http://dx.doi.org/10.1016/0273-1177(95)00080-x.

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Miller, Steven D., Courtney E. Weeks, Randy G. Bullock, John M. Forsythe, Paul A. Kucera, Barbara G. Brown, Cory A. Wolff, Philip T. Partain, Andrew S. Jones, and David B. Johnson. "Model-Evaluation Tools for Three-Dimensional Cloud Verification via Spaceborne Active Sensors." Journal of Applied Meteorology and Climatology 53, no. 9 (September 2014): 2181–95. http://dx.doi.org/10.1175/jamc-d-13-0322.1.

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AbstractClouds pose many operational hazards to the aviation community in terms of ceilings and visibility, turbulence, and aircraft icing. Realistic descriptions of the three-dimensional (3D) distribution and temporal evolution of clouds in numerical weather prediction models used for flight planning and routing are therefore of central importance. The introduction of satellite-based cloud radar (CloudSat) and Cloud–Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) sensors to the National Aeronautics and Space Administration A-Train is timely in light of these needs but requires a new paradigm of model-evaluation tools that are capable of exploiting the vertical-profile information. Early results from the National Center for Atmospheric Research Model Evaluation Toolkit (MET), augmented to work with the emergent satellite-based active sensor observations, are presented here. Existing horizontal-plane statistical evaluation techniques have been adapted to operate on observations in the vertical plane and have been extended to 3D object evaluations, leveraging blended datasets from the active and passive A-Train sensors. Case studies of organized synoptic-scale and mesoscale distributed cloud systems are presented to illustrate the multiscale utility of the MET tools. Definition of objects on the basis of radar-reflectivity thresholds was found to be strongly dependent on the model’s ability to resolve details of the cloud’s internal hydrometeor distribution. Contoured-frequency-by-altitude diagrams provide a useful mechanism for evaluating the simulated and observed 3D distributions for regional domains. The expanded MET provides a new dimension to model evaluation and positions the community to better exploit active-sensor satellite observing systems that are slated for launch in the near future.
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Sampl, M., W. Macher, C. Gruber, T. Oswald, M. Kapper, H. O. Rucker, and M. Mogilevsky. "HF performance of electric field sensors aboard the RESONANCE satellite." Geoscientific Instrumentation, Methods and Data Systems Discussions 4, no. 2 (December 18, 2014): 683–703. http://dx.doi.org/10.5194/gid-4-683-2014.

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Abstract. We present the high frequency properties of the eight electric field sensors as proposed to be launched on the spacecraft "RESONANCE" in the near future. Due to the close proximity of the conducting spacecraft body, the sensors (antennas) have complex receiving features and need to be well understood for an optimal mission and spacecraft design. An optimal configuration and precise understanding of the sensors and antennas characteristics is also vital for the proper performance of spaceborne scientific instrumentation and the corresponding data analysis. The provided results are particularly interesting with regard to the planned mutual impedance experiment for measuring plasma parameters. Our computational results describe the extreme dependency of the sensor system regarding wave incident direction and frequency, and provides the full description of the sensor system as a multi-port scatterer. In particular, goniopolarimetry techniques like polarization analysis and direction finding depend crucially on the presented antenna characteristics.
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Petrenko, M., C. Ichoku, and G. Leptoukh. "Multi-sensor Aerosol Products Sampling System (MAPSS)." Atmospheric Measurement Techniques 5, no. 5 (May 4, 2012): 913–26. http://dx.doi.org/10.5194/amt-5-913-2012.

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Abstract. Global and local properties of atmospheric aerosols have been extensively observed and measured using both spaceborne and ground-based instruments, especially during the last decade. Unique properties retrieved by the different instruments contribute to an unprecedented availability of the most complete set of complimentary aerosol measurements ever acquired. However, some of these measurements remain underutilized, largely due to the complexities involved in analyzing them synergistically. To characterize the inconsistencies and bridge the gap that exists between the sensors, we have established a Multi-sensor Aerosol Products Sampling System (MAPSS), which consistently samples and generates the spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of aerosol products from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS. Samples of satellite aerosol products are extracted over Aerosol Robotic Network (AERONET) locations as well as over other locations of interest such as those with available ground-based aerosol observations. In this way, MAPSS enables a direct cross-characterization and data integration between Level-2 aerosol observations from multiple sensors. In addition, the available well-characterized co-located ground-based data provides the basis for the integrated validation of these products. This paper explains the sampling methodology and concepts used in MAPSS, and demonstrates specific examples of using MAPSS for an integrated analysis of multiple aerosol products.
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Petrenko, M., C. Ichoku, and G. Leptoukh. "Multi-sensor Aerosol Products Sampling System (MAPSS)." Atmospheric Measurement Techniques Discussions 5, no. 1 (January 26, 2012): 909–45. http://dx.doi.org/10.5194/amtd-5-909-2012.

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Abstract. Global and local properties of atmospheric aerosols have been extensively observed and measured using both spaceborne and ground-based instruments, especially during the last decade. Unique properties retrieved by the different instruments contribute to an unprecedented availability of the most complete set of complimentary aerosol measurements ever acquired. However, some of these measurements remain underutilized, largely due to the complexities involved in analyzing them synergistically. To characterize the inconsistencies and bridge the gap that exists between the sensors, we have established a Multi-sensor Aerosol Products Sampling System (MAPSS), which consistently samples and generates the spatial statistics (mean, standard deviation, direction and rate of spatial variation, and spatial correlation coefficient) of aerosol products from multiple spaceborne sensors, including MODIS (on Terra and Aqua), MISR, OMI, POLDER, CALIOP, and SeaWiFS. Samples of satellite aerosol products are extracted over Aerosol Robotic Network (AERONET) locations as well as over other locations of interest such as those with available ground-based aerosol observations. In this way, MAPSS enables a direct cross-characterization and data integration between Level-2 aerosol observations from multiple sensors. In addition, the available well-characterized co-located ground-based data provides the basis for the integrated validation of these products. This paper explains the sampling methodology and concepts used in MAPSS, and demonstrates specific examples of using MAPSS for an integrated analysis of multiple aerosol products.
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Dissertations / Theses on the topic "Spaceborne sensors"

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Tourian, Mohammad Javad [Verfasser], and Nico [Akademischer Betreuer] Sneeuw. "Application of spaceborne geodetic sensors for hydrology / Mohammad Javad Tourian. Betreuer: Nico Sneeuw." Stuttgart : Universitätsbibliothek der Universität Stuttgart, 2014. http://d-nb.info/1046060821/34.

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De, Smedt Isabelle. "Long-term global observations of tropospheric formaldehyde retrieved from spaceborne nadir UV sensors." Doctoral thesis, Universite Libre de Bruxelles, 2011. http://hdl.handle.net/2013/ULB-DIPOT:oai:dipot.ulb.ac.be:2013/209919.

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Atmospheric formaldehyde (H2CO) is an intermediate product common to the degradation of many volatile organic compounds and therefore it is a central component of the tropospheric chemistry. While the global formaldehyde background is due to methane oxidation, emissions of non-methane volatile organic compounds (NMVOCs) from biogenic, biomass burning and anthropogenic continental sources result in important and localised enhancements of the H2CO concentration. Recent spaceborne nadir sensors provide an opportunity to quantify the abundance of tropospheric formaldehyde at the global scale, and thereby to improve our knowledge of NMVOC emissions. This is essential for a better understanding of the processes that control the production and the evolution of tropospheric ozone, a key actor in air quality and climate change, but also of the hydroxyl radical OH, the main cleansing agent of our troposphere. For this reason, H2CO satellite observations are increasingly used in combination with tropospheric chemistry transport models to constrain NMVOC emission inventories in so-called top-down inversion approaches. Such inverse modelling applications require well characterised satellite data products consistently retrieved over long time periods.

This work reports on global observations of formaldehyde columns retrieved from the successive solar backscatter nadir sensors GOME, SCIAMACHY and GOME-2, respectively launched in 1995, 2002 and 2006. The retrieval procedure is based on the differential optical absorption spectroscopy technique (DOAS). Formaldehyde concentrations integrated along the mean atmospheric optical path are derived from the recorded spectra in the UV region, and further converted to vertical columns by means of calculated air mass factors. These are obtained from radiative transfer simulations, accounting for cloud coverage, surface properties and best-guess H2CO profiles, the latter being derived from the IMAGES chemistry transport model. A key task of the thesis has consisted in the optimisation of the H2CO retrieval settings from multiple sensors, taking into account the instrumental specificities of each sounder. As a result of these efforts, a homogeneous dataset of formaldehyde columns covering the period from 1996 to 2010 has been created. This comes with a comprehensive error budget that treats errors related to the spectral fit of the columns as well as those associated to the air mass factor evaluation. The time series of the GOME, SCIAMACHY and GOME-2 H2CO observations is shown to be consistent and stable over time. In addition, GOME-2 brings a significant reduction of the noise on spatiotemporally averaged observations, leading to a better identification of the emission sources. Our dataset is used to study the regional formaldehyde distribution, as well as its seasonal and interannual variations, principally related to temperature changes and fire events, but also to anthropogenic activities. Moreover, building on the quality of our 15-year time series, we present the first analysis of long-term changes in the H2CO columns. Positive trends, in the range of 1.5 to 4% yr-1, are found in Asia, more particularly in Eastern China and India, and are related to the known increase of anthropogenic NMVOC emissions in these regions. Finally, our dataset has been extensively used in several studies, in particular by the BIRA-IASB modelling team to constrain NMVOC emission fluxes. The results demonstrate the high potential of satellite data as top-down constraint for biogenic and biomass burning NMVOC emission inventories, especially in Tropical ecosystems, in Southeastern Asia, and in Southeastern US.

Le formaldéhyde (H2CO) joue un rôle central dans la chimie de la troposphère en tant que produit intermédiaire commun à la dégradation chimique de la plupart des composés organiques volatils dans l’atmosphère. L’oxydation du méthane est responsable de plus de la moitié de la concentration moyenne globale du formaldéhyde. Sur les continents en revanche, les hydrocarbures non-méthaniques (NMVOCs) émis par la végétation, les feux de biomasse et les activités humaines, augmentent de façon significative et localisée la concentration de H2CO. Les récents senseurs satellitaires à visée nadir offrent la possibilité de quantifier à l’échelle globale l’abondance du formaldéhyde dans la troposphère et de ce fait, d’améliorer notre connaissance des émissions de NMVOCs. Ceci est essentiel à la compréhension des mécanismes contrôlant la production et l’évolution de l’ozone troposphérique, élément clé pour la qualité de l’air et les changements climatiques, mais aussi du composé hydroxyle OH, le principal agent nettoyant de notre troposphère. C’est pourquoi, une méthode de plus en plus répandue pour améliorer les inventaires d’émissions des NMVOCs consiste en l’utilisation d’observations satellitaires de H2CO en combinaison avec un modèle de chimie et de transport troposphérique, dans une approche appelée modélisation inverse. Ce genre d’application demande des produits satellitaires bien caractérisés et dérivés de façon cohérente sur de longues périodes de temps.

Le travail présenté dans ce manuscrit porte sur l’inversion des colonnes de formaldéhyde à partir de spectres de la radiation solaire rétrodiffusée par l’atmosphère terrestre, mesurés par les senseurs GOME, SCIAMACHY et GOME-2, lancés successivement en 1995, 2002 et 2006. La méthode d’inversion est basée sur la spectroscopie d’absorption optique différentielle (DOAS). Les concentrations de formaldéhyde intégrées le long du chemin optique moyen dans l’atmosphère sont dérivées à partir des spectres mesurés, et ensuite transformées en colonnes verticales par le biais de facteurs de conversion appelés facteurs de masse d’air. Ces derniers sont calculés à l’aide d’un modèle de transfert radiatif, en tenant compte de la présence de nuages, des propriétés de la surface terrestre et la distribution verticale supposée du formaldéhyde, fournie par le modèle IMAGES. Un des objectifs principaux de la thèse a été d’optimiser les paramètres d’inversion pour H2CO, et ceci pour les trois senseurs, tout en tenant compte des spécificités de chaque instrument. Ces efforts ont conduit à la création d’un jeu de données homogène, couvrant la période de 1996 à 2010. Les colonnes sont fournies avec un bilan d’erreur complet, incluant les erreurs liées à l’inversion des concentrations dans les spectres, ainsi que celles provenant de l’évaluation des facteurs de masse d’air. La série temporelle des observations de GOME, SCIAMACHY et GOME-2 présente une bonne cohérence et stabilité sur toute la période. Nous montrons aussi que la meilleure couverture terrestre de GOME-2 entraîne une réduction significative du bruit sur les observations moyennées, permettant une meilleure identification des sources d’émission. Notre jeu de données est exploité pour étudier la distribution régionale du formaldéhyde, ainsi que ses variations saisonnières et interannuelles, principalement liées aux variations de température et aux feux de végétation, mais aussi aux activités anthropiques. De plus, en s’appuyant sur la qualité de la série temporelle de 15 ans, nous présentons la première analyse des variations à long terme des concentrations de H2CO. Des tendances positives, de l’ordre de 1.5 à 4% par an, sont observées en Asie, en particulier dans l’est de la Chine et en Inde, liées à l’augmentation des émissions anthropiques d’hydrocarbures dans ces régions. Finalement, nos données ont été largement exploitées par le groupe de modélisation de l’IASB pour faire des études de modélisation inverse des émissions de NMVOCs. Les résultats démontrent le haut potentiel des données satellitaires pour contraindre les inventaires d’émissions dues à la végétation et aux feux de biomasse, particulièrement dans les écosystèmes tropicaux, en Asie du sud-est, et dans le sud-est des Etats-Unis.
Doctorat en Sciences de l'ingénieur
info:eu-repo/semantics/nonPublished

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Bhattacharya, Indrajit. "ANALYSIS OF SURFACE MELTING AND SNOW ACCUMULATION OVER THE GREENLAND ICE SHEET FROM SPACEBORNE MICROWAVE SENSORS." The Ohio State University, 2010. http://rave.ohiolink.edu/etdc/view?acc_num=osu1276621670.

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Ahmad, Khalil Ali. "ESTIMATION OF OCEANIC RAINFALL USING PASSIVE AND ACTIVE MEASUREMENTS FROM SEAWINDS SPACEBORNE MICROWAVE SENSOR." Doctoral diss., University of Central Florida, 2007. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3015.

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The Ku band microwave remote sensor, SeaWinds, was developed at the National Aeronautics and Space Administration (NASA) Jet Propulsion Laboratory (JPL). Two identical SeaWinds instruments were launched into space. The first was flown onboard NASA QuikSCAT satellite which has been orbiting the Earth since June 1999, and the second instrument flew onboard the Japanese Advanced Earth Observing Satellite II (ADEOS-II) from December 2002 till October 2003 when an irrecoverable solar panel failure caused a premature end to the ADEOS-II satellite mission. SeaWinds operates at a frequency of 13.4 GHz, and was originally designed to measure the speed and direction of the ocean surface wind vector by relating the normalized radar backscatter measurements to the near surface wind vector through a geophysical model function (GMF). In addition to the backscatter measurement capability, SeaWinds simultaneously measures the polarized radiometric emission from the surface and atmosphere, utilizing a ground signal processing algorithm known as the QuikSCAT / SeaWinds Radiometer (QRad / SRad). This dissertation presents the development and validation of a mathematical inversion algorithm that combines the simultaneous active radar backscatter and the passive microwave brightness temperatures observed by the SeaWinds sensor to retrieve the oceanic rainfall. The retrieval algorithm is statistically based, and has been developed using collocated measurements from SeaWinds, the Tropical Rainfall Measuring Mission (TRMM) Microwave Imager (TMI) rain rates, and Numerical Weather Prediction (NWP) wind fields from the National Centers for Environmental Prediction (NCEP). The oceanic rain is retrieved on a spacecraft wind vector cell (WVC) measurement grid that has a spatial resolution of 25 km. To evaluate the accuracy of the retrievals, examples of the passive-only, as well as the combined active / passive rain estimates from SeaWinds are presented, and comparisons are made with the standard TRMM rain data products. Results demonstrate that SeaWinds rain measurements are in good agreement with the independent microwave rain observations obtained from TMI. Further, by applying a threshold on the retrieved rain rates, SeaWinds rain estimates can be utilized as a rain flag. In order to evaluate the performance of the SeaWinds flag, comparisons are made with the Impact based Multidimensional Histogram (IMUDH) rain flag developed by JPL. Results emphasize the powerful rain detection capabilities of the SeaWinds retrieval algorithm. Due to its broad swath coverage, SeaWinds affords additional independent sampling of the oceanic rainfall, which may contribute to the future NASA's Precipitation Measurement Mission (PMM) objectives of improving the global sampling of oceanic rain within 3 hour windows. Also, since SeaWinds is the only sensor onboard QuikSCAT, the SeaWinds rain estimates can be used to improve the flagging of rain-contaminated oceanic wind vector retrievals. The passive-only rainfall retrieval algorithm (QRad / SRad) has been implemented by JPL as part of the level 2B (L2B) science data product, and can be obtained from the Physical Oceanography Distributed Data Archive (PO.DAAC).
Ph.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Electrical Engineering PhD
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Vicente, Luiz Eduardo. "Caracterização de sistemas ambientais tropicais complexos utilizando analise sistemica classificação hiperespectral de dados do sensor ASTER (Advanced Spaceborne Thermal Emission and Reflection Radiometer)." [s.n.], 2007. http://repositorio.unicamp.br/jspui/handle/REPOSIP/287187.

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Orientadores: Carlos Roberto de Souza Filho, Archimedes Perez Filho
Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Geociencias
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Resumo: O progressivo aumento da ocupação e uso intensivo de sistemas ambientais em âmbito global gera conseqüências como a degradação de terras, alteração nos ciclos hidrológicos e de nutrientes e diminuição da capacidade de retenção de carbono. Neste sentido, a utilização de sensoriamento remoto orbital tem contribuído para o estudo das transformações em sistemas ambientais, principalmente devido às suas características multi-escalares de abrangência espacial e temporal. Esse tipo de abordagem permite a realização de análise sistêmica por meio da utilização de técnicas de processamento digital de imagens, aliadas ao conhecimento do comportamento espectral dos materiais sob investigação em escala detalhada (componentes físico-químicos), bem como sua distribuição espacial enquanto sistema ambiental. Estudos deste tipo ainda são raros em áreas tropicais, exigindo um maior conhecimento das suas características espectrais locais. Dessa forma, o objetivo deste trabalho é contribuir para o estudo de sistemas ambientais tropicais levando-se em consideração técnicas propícias a sua análise e mapeamento por sensores orbitais. Para tanto, foram utilizadas imagens ASTER nos intervalos espectrais do visível (0.52-0.69bm), infravermelho próximo (0.78-0.86 bm), infravermelho de ondas curtas (1.60 a 2.43 bm) e infravermelho termal (8-12bm). Sobre esses dados foram aplicados procedimentos de correção atmosférica considerando parâmetros tropicais locais e técnicas de classificação hiperespectral adaptados para este sensor: (i) Minimum Noise Fraction, (ii) Purity Pure Index, Visualização n-dimensional, e os algoritmos Spectral Angle Mapper e Mixture Tuned Matched Filtering. A fim de se abranger diferentes características ambientais, foram escolhidas três áreas de estudo: Região de Itirapina ¿ SP, Região de Assis ¿ SP e Região de São Francisco de Assis ¿ RS. Cada uma dessas regiões apresenta situações particulares, inerentes a transformações em sistemas ambientais tropicais, envolvendo os seguintes aspectos: (i) zonas de transição em fragmentos ecossistêmicos, (ii) componentes minerais típicos de solos tropicais, e (iii) processos de arenização. Para validação dos dados do sensor ASTER foram utilizados, além de dados de campo, análises espectrais teóricas com base em bibliotecas espectrais, medidas espectrorradiométricas locais, bem como análises por difratrometria de raio X. Como resultado, por meio do uso do intervalo espectral entre o visível o infravermelho de ondas curtas, foi possível mapear áreas de fragmentos vegetacionais numa escala de detalhe, através da separação de diferentes fitofisionomias, como: cerradão, cerrado e mata estacionária semidecídua. Nos solos tropicais foram detectados componentes minerais típicos, como: caulinita, montmorilonita, gibbsita, óxidos e hidróxidos de ferro. No que se refere ao processo de arenização, estudos aqui desenvolvidos, com base no infravermelho termal, permitiram estimar a distribuição e abundância de áreas ricas em quartzo em contraposição a outros alvos da cobertura, como forma de se estabelecer níveis de estabilidade e degradação relativas a esses locais. O conjunto de resultados obtidos neste trabalho é uma contribuição para um melhor entendimento de sistemas ambientais em regiões tropicais, particularmente no que se refere ao uso de sensoriamento remoto orbital, enquanto ferramenta de análise multi-escalar
Abstract: The progressive increase of the occupation and intensive use of environmental systems in a global scale generate consequences such as the degradation of lands, alteration in the hydrologic and nutrients cycles and diminution of the carbon retention capacity. In this sense, the use of orbital remote sensing has contributed for the study of the transformations in environmental systems, mainly due to its multi-scale characteristics of spatial and temporal coverage. This type of approach allows the achievement of systemic analysis by means of digital image processing techniques, coupled with knowledge about the spectral properties of materials under investigation in detail (physical-chemical components), as well as their spatial distribution as an environmental system. This class of study is yet rare in tropical regions, requiring an ample understanding of the spectral signature of the local targets involved. In this view, this work aims to contribute for the study of tropical environmental systems considering advanced techniques for their analysis and mapping by orbital sensors. Images acquired by the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) covering visible (0.52-0.69bm), near infrared (0.78-0.86 bm), shortwave infrared (1,60-2,43 bm) and thermal infrared (8-12bm) wavelengths were employed for these tasks. Firstly, the data were atmospherically corrected based on local tropical parameters and converted to either reflectance (VNIR-SWIR) or emissivity (TIR). Secondly, the pre-processed data were processed through algorithms originally designed for classification of hyperspectral data, such as (i) Minimum Noise Fraction, (ii) Purity Pure Index, (iii) n-dimensional visualization; (iv) Spectral Angle Mapper e and (v) Mixture Tuned Matched Filtering. In order to experiment in different scenarios, three sites were considered: Itirapina and Assis (State of São Paulo) and São Francisco de Assis (State of Rio Grande do Sul). Each of these sites shows particular characteristics as regards tropical environmental system transformations, involving the following aspects: (i) transition zones in ecosystem fragments, (ii) typical tropical ground mineral components, and (iii) desertification-like (arenization) processes. ASTER data were verified and validated using ground field data and spectra derived both from laboratory measurements and from spectral libraries, plus X-Ray Difraction analysis. Based on this multiple data approach, it was possible to map fragments of vegetation in detail, separating different vegetation species based on their distinct spectral signatures between the VNIR-SWIR range, including woodland, shrubland and tropical semideciduous forests. Tropical soils were also mapped with specific minerals such as kaolinite, montmorillonite, gibbsite and iron oxides and hydroxides. As regards the arenization processes, within the study here developed on the basis of ASTER thermal infrared multispectral data, it was possible to estimate the distribution and abundance of quartz-rich areas in contrast to other materials, allowing an assessment about the levels of stability and degradation related to control area. The set of precision results obtained in this work is an important contribution for the study of environmental systems in tropical regions, particularly in what refers to the use of remote orbital sensors as a multi-scale tool
Doutorado
Análise Ambiental e Dinâmica Territorial
Doutor em Ciências
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Santos, Rosângela Leal. "O uso de processamento digital de imagens do sensor Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) na identificação de horizontes coesos em solos dos tabuleiros costeiros da Bahia." Universidade de São Paulo, 2005. http://www.teses.usp.br/teses/disponiveis/3/3138/tde-16042017-085312/.

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Os Tabuleiros Costeiros são unidades geomorfologicamente definidas, caracterizando-se como formações sedimentares de topos aplainadas de grande extensão territorial, amplamente povoada, com intensa exploração econômica agropecuária, mas com a presença constante de restrições físicas ao uso agrícola, associadas à presença de solos com horizontes coesos em subsuperfície. A presença deste horizonte coeso reduz a profundidade efetiva dos solos, prejudicando a dinâmica da água no perfil e, principalmente, o aprofundamento do sistema radicular, reduzindo as taxas de infiltração de água, criando lençóis freáticos suspensos e que se desenvolvem particularmente sob os Latossolos Amarelos (Latossolos Amarelos) e os Argissolos Amarelos (Podzólicos Amarelos). Assim, a presença destes horizontes em áreas úmidas, pode ser associada a um maior teor de umidade nos solos, que pode ser captada pelo sensor. Devido a sua natureza pedológica e sua localização em sub superfície e sua grande extensão, estes solos demandam grandes recursos para sua efetiva localização e mapeamento. A aplicação de técnicas de processamento digital de imagens nas imagens do sensor ASTER, um sensor experimental e pouco explorado, possibilita a redução de custos, empregados nos levantamentos exploratórios para localização destes horizontes coesos. O principal objetivo deste trabalho foi submeter imagens obtidas através do sensoriamento remoto óptico orbital, do sensor ASTER, a diferentes técnicas de processamento digital de imagens, para assim identificar, reconhecer e caracterizar a presença dos horizontes coesos nos solos dos Tabuleiros Costeiros da Bahia, utilizando como critério identificador, o teor de umidade dos solos. O trabalho foi desenvolvido numa área de aproximadamente 2.475km2, onde está inserida uma área de referência de 29km2, situada no município de Esplanada, onde predominam solos da mesma Classe (Podzólicos Amarelos e Acinzentados) mas diferenciados em unidades que possuem diversos graus de coesão, com textura que varia de arenosa a argilosa. Foi utilizada uma única cena ASTER, sob a qual foi extraída oitenta amostras para determinar a relação entre o teor de umidade dos solos e as diferentes técnicas de processamento digital de imagens. Foram realizadas vinte e seis técnicas de realce (análise componentes principais, Transformação Tasseled Cap, NDVI, NDMI, SAVI e vinte e uma razões entre bandas do sensor ASTER) , além da aplicação de uma classificação supervisionada (método da máxima verossimilhança), com limiar de aceitação de 95%. Os resultados demonstraram que a sétima componente principal é o melhor produto para mapear a presença dos horizontes coesos, por melhor identificar a umidade do solo; o NDMI, o SAVI e a Umidade obtida através da Transformação Tasseled Cap têm um comportamento similar entre si, mas com resultados menos evidentes e entre as razões entre as faixas espectrais testadas, os melhores resultados foram as razões entre as faixas 1 e 8 e entre as faixas 3 e 8.
The Coastal Tableland are units geomorfologicaly defined, characterized by sedimentary formations of smoothed tops of great territorial extension, widely populated, with intense agricultural economic exploration, but with the constant presence of physical restrictions to agricultural use, that are associated to cohesion horizons in subsurface. The presence of this cohesion horizon reduces the soils depth, harming the dynamics of the water in the profile and, mainly, the radicular system of depth, reducing the water infiltration rates and creating suspended sheets particularly under Yellow Latossol and Yellow Podzolic. Thus, the presence of these horizons in humid areas can be associated with higher moisture levels in the soils that can be caught by the sensor. Due to its pedologic nature, sub surface and great extension location, these soil demand great resources for its effective localization and mapping. The application of techniques of image digital processing in the images of the ASTER sensor, an experimental and few explored sensor, turns possible the reduction of costs, used in the exploratory searches for the localization of these cohesion horizons. The main objective of this work was to submit images obtained through the orbital optical remote sensed, of the ASTER sensor, the different image digital processing techniques, in order to identify, to recognize and to characterize the cohesion horizons soil of Coastal Tableland of Bahia, using as identification criteria, the soil moisture contents . The work was developed in an area of 2.475km2 approximately, where an area of reference of 29km2 is inserted, situated in Esplanada city of, where soil of the same class prevail (Yellow and Grey Podzólicos) but differentiated in predominate units that possess diverse cohesion degrees , with texture that varies of sandy the loamy. An only ASTER scene was used, under which it was extracted eighty samples to determine the relationship between the the soil moisture contents and the different images digital images processing techniques. Twenty-six techniques of distinction had been carried through (principal components analysis, Tasseled Cap Transformation, NDVI, NDMI, SAVI and twenty bands ratio on the ASTER sensor bands), beyond the application of a supervised classification (Maximum Likelihood method), with threshold of 95% acceptance. The results had demonstrated that the seventh principal component is the best product to map the cohesion horizons presence and to identify the soil moisture contents; the NDMI, the SAVI and the Wetness obtained through the Tasseled Cap Transformation have a similar behavior, but with less evidences relating the results and, the ratio bands tested, the best results had been those found between bands 1 to 8 and bands 3 to 8.
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Books on the topic "Spaceborne sensors"

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ANGHEL, ANDREI, GABRIEL VASILE, and REMUS CACOVEANU. Infrastructure Monitoring with Spaceborne SAR Sensors. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3217-2.

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Robinson, William G. Adaptive full aperture wavefront sensor study: Final report : period of grant: 1 April 1995 to 31 Aug 1997 : grant number: NAG8-1138. Atlanta, Ga: Electro-Optics, Environment, and Materials Laboratory, Georgia Tech Research Institute, Georgia Institute of Technology, 1998.

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Richards, Robert D. Spaceborne Sensors. Society of Photo Optical, 2006.

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D, Habbit Robert, Tchoryk Peter, and Society of Photo-optical Instrumentation Engineers., eds. Spaceborne sensors: 13 April, 2004, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2004.

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Tchoryk, Peter. Spaceborne Sensors 2: Proceedings of Spie (Proceedings of SPIE). Society of Photo Optical, 2005.

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Peter, Tchoryk, Holz Brian, Ball Aerospace & Technologies Corporation (USA), and Society of Photo-optical Instrumentation Engineers., eds. Spaceborne sensors II: 28-29 March, 2005, Orlando, Florida, USA. Bellingham, Wash: SPIE, 2005.

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Thermal and orbital analysis of earth monitoring sun-synchronous space experiments. Hampton, Va: National Aeronautics and Space Administration, Langley Research Center, 1990.

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J, Komar George, Wang Jinxue, Kimura Toshiyoshi, Society of Photo-optical Instrumentation Engineers., and United States. National Aeronautics and Space Administration., eds. Enabling sensor and platform technologies for spaceborne remote sensing: 9-10 November, 2004, Honolulu, Hawaii, USA. Bellingham, Wash: SPIE, 2005.

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Adaptive full aperture wavefront sensor study: Final report : period of grant: 1 April 1995 to 31 Aug 1997 : grant number: NAG8-1138. Atlanta, Ga: Electro-Optics, Environment, and Materials Laboratory, Georgia Tech Research Institute, Georgia Institute of Technology, 1998.

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M, Lee Kasey, and United States. National Aeronautics and Space Administration., eds. Experimental design for the evaluation of high-Tc superconductive thermal bridges in a sensor satellite: An annual report for contract no. NAG-1-1500 to NASA Langley Research Center, Hampton, Virginia. Blacksburg, VA: Dept. of Mechanical Engineering, Virginia Polytechnic Institute & State University, 1994.

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Book chapters on the topic "Spaceborne sensors"

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Lausch, Angela, Marco Heurich, Paul Magdon, Duccio Rocchini, Karsten Schulz, Jan Bumberger, and Doug J. King. "A Range of Earth Observation Techniques for Assessing Plant Diversity." In Remote Sensing of Plant Biodiversity, 309–48. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-33157-3_13.

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AbstractVegetation diversity and health is multidimensional and only partially understood due to its complexity. So far there is no single monitoring approach that can sufficiently assess and predict vegetation health and resilience. To gain a better understanding of the different remote sensing (RS) approaches that are available, this chapter reviews the range of Earth observation (EO) platforms, sensors, and techniques for assessing vegetation diversity. Platforms include close-range EO platforms, spectral laboratories, plant phenomics facilities, ecotrons, wireless sensor networks (WSNs), towers, air- and spaceborne EO platforms, and unmanned aerial systems (UAS). Sensors include spectrometers, optical imaging systems, Light Detection and Ranging (LiDAR), and radar. Applications and approaches to vegetation diversity modeling and mapping with air- and spaceborne EO data are also presented. The chapter concludes with recommendations for the future direction of monitoring vegetation diversity using RS.
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WHITEHOUSE, BRIAN G., and DANIEL HUTT. "OBSERVING COASTAL WATERS WITH SPACEBORNE SENSORS." In Remote Sensing and Digital Image Processing, 201–15. Dordrecht: Springer Netherlands, 2006. http://dx.doi.org/10.1007/1-4020-3968-9_9.

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Gupta, Ravi P. "Important Spaceborne Missions and Multispectral Sensors." In Remote Sensing Geology, 61–86. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-55876-8_6.

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Kramer, Herbert J. "Survey of Spaceborne Missions and Sensors." In Observation of the Earth and Its Environment, 11–401. Berlin, Heidelberg: Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/978-3-642-97678-0_2.

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Kramer, Herbert J. "Survey of Spaceborne Missions and Sensors." In Observation of the Earth and its Environment, 7–301. Berlin, Heidelberg: Springer Berlin Heidelberg, 1994. http://dx.doi.org/10.1007/978-3-662-09038-1_2.

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Marzano, Frank S., Alberto Mugnai, and F. Joseph Turk. "Precipitation Retrieval From Spaceborne Microwave Radiometers and Combined Sensors." In Remote Sensing of Atmosphere and Ocean from Space: Models, Instruments and Techniques, 107–26. Dordrecht: Springer Netherlands, 2002. http://dx.doi.org/10.1007/0-306-48150-2_8.

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Liang, Hongyu, Wenbin Xu, Xiaoli Ding, Lei Zhang, and Songbo Wu. "Urban Sensing with Spaceborne Interferometric Synthetic Aperture Radar." In Urban Informatics, 345–65. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8983-6_21.

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AbstractSynthetic aperture radar (SAR) and interferometric SAR (InSAR) are state-of-the-art radar remote sensing technologies and are very useful for urban remote sensing. The technologies have some very special characteristics compared to optical remote sensing and are especially advantageous in cloudy regions due to the ability of the microwave radar signals used by the current SAR sensors to penetrate clouds. This chapter introduces the basic concepts of SAR, differential InSAR, and multi-temporal InSAR, and their typical applications in urban remote sensing. Examples of applying the various InSAR techniques in generating DEMs and monitoring ground and infrastructure deformation are given. The capabilities and limitations of InSAR techniques in urban remote sensing are briefly discussed.
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Kuenzer, Claudia, Huadong Guo, Marco Ottinger, Jianzhong Zhang, and Stefan Dech. "Spaceborne Thermal Infrared Observation – An Overview of Most Frequently Used Sensors for Applied Research." In Thermal Infrared Remote Sensing, 131–48. Dordrecht: Springer Netherlands, 2013. http://dx.doi.org/10.1007/978-94-007-6639-6_7.

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Troch, F. P., P. A. Troch, and Z. Su. "Use of Remote Sensing Data from Airborne and Spaceborne Active Microwave Sensors Towards Hydrological Modeling." In Integrated Approach to Environmental Data Management Systems, 171–88. Dordrecht: Springer Netherlands, 1997. http://dx.doi.org/10.1007/978-94-011-5616-5_15.

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Kerdprasop, Kittisak, Nittaya Kerdprasop, Kacha Chansilp, and Paradee Chuaybamroong. "The Use of Spaceborne and Oceanic Sensors to Model Dengue Incidence in the Outbreak Surveillance System." In Computational Science and Its Applications – ICCSA 2019, 447–60. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-24289-3_33.

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Conference papers on the topic "Spaceborne sensors"

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CLARK, BENTON, TOM NORMAN, CHUCK RASBACH, and RONALD SIMON. "Cryocooler for spaceborne sensors." In 26th Aerospace Sciences Meeting. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1988. http://dx.doi.org/10.2514/6.1988-740.

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Chan, William S. "Non-Imaging Infrared (IR) Sensors For Spaceborne Surveillance." In OE LASE'87 and EO Imaging Symp (January 1987, Los Angeles), edited by Robert L. Caswell. SPIE, 1987. http://dx.doi.org/10.1117/12.939856.

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Rößner, Max R., Mathias S. Müller, Thorbjörn C. Buck, and Alexander W. Koch. "Fiber Bragg grating interrogator for demonstration of spaceborne applications." In 21st International Conference on Optical Fibre Sensors (OFS21). SPIE, 2011. http://dx.doi.org/10.1117/12.885941.

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Pottier, Eric, and Laurent Ferro-Famil. "Advances in SAR Polarimetry applications exploiting polarimetric spaceborne sensors." In 2008 IEEE Radar Conference (RADAR). IEEE, 2008. http://dx.doi.org/10.1109/radar.2008.4720872.

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Yamamoto, Kosuke, Kinji Furukawa, Nobuhiro Takahashi, Takuji Kubota, Riko Oki, and Kaya Kanemaru. "Analysis of the GPM/DPR wide swath experiment assuming future spaceborne precipitation radar." In Sensors, Systems, and Next-Generation Satellites, edited by Steven P. Neeck, Toshiyoshi Kimura, and Philippe Martimort. SPIE, 2018. http://dx.doi.org/10.1117/12.2325273.

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Kempf, Timo, and Harald Anglberger. "Image fusion of different spaceborne SAR sensors for change detection." In 2013 IEEE Radar Conference (RadarCon). IEEE, 2013. http://dx.doi.org/10.1109/radar.2013.6586077.

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Sabo, Michelle N., and Christopher G. Hughes. "CAN YOU USE SPACEBORNE THERMAL INFRARED SENSORS TO PREDICT EARTHQUAKES?" In GSA Annual Meeting in Seattle, Washington, USA - 2017. Geological Society of America, 2017. http://dx.doi.org/10.1130/abs/2017am-299974.

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Utsch, Thomas F., Thomas H. Hopp, A. H. Sarrafian, and Steven Kilston. "Design concepts for spaceborne multimission sensors for tactical military needs." In San Dieg - DL Tentative, edited by Irving J. Spiro. SPIE, 1990. http://dx.doi.org/10.1117/12.23071.

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Ngo Phong, Linh, Francis Picard, Jacques-Edmond Paultre, Francis Généreux, Denis Dufour, and François Châteauneuf. "Uncooled midwave infrared sensors for spaceborne assessment of fire characteristics." In SPIE OPTO, edited by Wibool Piyawattanametha and Yong-Hwa Park. SPIE, 2017. http://dx.doi.org/10.1117/12.2250968.

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Materne, Alex, Bruno Gili, David Laubier, and Thierry Gimenez. "Quadrilinear CCD sensors for the multispectral channel of spaceborne imagers." In International Symposium on Remote Sensing, edited by Hiroyuki Fujisada, Joan B. Lurie, and Konradin Weber. SPIE, 2001. http://dx.doi.org/10.1117/12.450673.

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Reports on the topic "Spaceborne sensors"

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Prokhorov, Alexander V., Raju U. Dalta, Vitaly P. Zakharenkov, Victor Privalsky, Thomas W. Humpherys, Victor I. Sapritsky, Albert C. Parr, and Lev K. Issaev. Spaceborn optoelectronic sensors and their radiometric calibration. terms and definitions. part 1. calibration techniques. Gaithersburg, MD: National Institute of Standards and Technology, 2005. http://dx.doi.org/10.6028/nist.ir.7203.

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