Geopsy yaygın olarak kullanılan profesyonel bir program. Özellikle, profesyonel program deneyimi yeni mezunlarda çok aranan bir özellik. Bir öğrencim çalışmasında kullanmayı planlıyor.
MMEA (The Measurement, Monitoring and Environmental Efficiency Assessment) research program final seminar presentation by Dr. Eija Honkavaara, Finnish Geospatial Research Institute
Geopsy yaygın olarak kullanılan profesyonel bir program. Özellikle, profesyonel program deneyimi yeni mezunlarda çok aranan bir özellik. Bir öğrencim çalışmasında kullanmayı planlıyor.
MMEA (The Measurement, Monitoring and Environmental Efficiency Assessment) research program final seminar presentation by Dr. Eija Honkavaara, Finnish Geospatial Research Institute
Data-driven wildfire spread modeling - Extension to cases with complex terrai...Mélanie Rochoux
This talk presents the FIREFLY data-driven wildfire simulator capable of forecasting wildfire spread behavior over complex terrain topography. The fire propagation is represented by time-evolving two-dimensional fronts along the horizontal plane in order to remain consistent with the formulation of the PE-/SE-based EnKF algorithms that were initially developed for flat terrain configuration.
Reference published in 2014
➞ M.C. Rochoux, C. Emery, S. Ricci, B. Cuenot & A. Trouvé: Comparative study of parameter estimation and state estimation approaches in data-driven wildfire spread modeling, Advances in Forest Fire Research, Imprensa da Universidade de Coimbra, Viegas, Domingo Xavier (ed.), doi: 10.14195/978-989-26-0884-6, presented at VII International Conference on Forest Fire Research, Coimbra (Portugal), 14-20 November, 2014.
First step towards data-driven wildfire spread modeling Mélanie Rochoux
This talk presents the preliminary prototype data-driven wildfire spread simulator based on the extended Kalman filter (EKF) with a parameter estimation approach. Since then, FireFly was extended to an ensemble Kalman filter (EnKF) to better account for model nonlinearities.
Reference published in January 2013
➞ Rochoux, M.C., Delmotte, B., Cuenot, B., Ricci, S., and Trouvé, A. (2013) Regional-scale simulations of wildland fire spread informed by real-time flame front observations, Proceedings of the Combustion Institute, 34, 2641-2647, doi: 10.1016/j.proci.2012.06.090
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...adrianocamps
SMOS basic principles and description of some products developed at the SMOS Barcelona Expert Center.
Disclaimer: these materials were prepared for Eduacational purposes only.
Hyperspectral Imagery for Environmental Mapping and MonitoringDominique BUFFET
Hyperspectral Imagery for Environmental Mapping and Monitoring: Case Study of Grassland in Belgium.
The objective of this study is to show that hyperspectral imagery can be used to characterise grassland as well as its biophysical and biochemical properties.
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+,
and EO-1 ALI sensors
Gyanesh Chander a,⁎, Brian L. Markham b, Dennis L. Helder c
a SGT, Inc. 1 contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198-0001, USA
b National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC), Greenbelt, MD 20771, USA
c South Dakota State University (SDSU), Brookings, SD 57007, USA
Development of a Java-based application for environmental remote sensing data...IJECEIAES
Air pollution is one of the most serious problems the world faces today. It is highly necessary to monitor pollutants in real-time to anticipate and reduce damages caused in several fields of activities. Likewise, it is necessary to provide decision makers with useful and updated environmental data. As a solution to a part of the above-mentioned necessities, we developed a Java-based application software to collect, process and visualize several environmental and pollution data, acquired from the Mediterranean Dialog earth Observatory (MDEO) platform [1]. This application will amass data of Morocco area from EUMETSAT satellites, and will decompress, filter and classify the received datasets. Then we will use the processed data to build an interactive environmental real-time map of Morocco. This should help finding out potential correlations between pollutants and emitting sources.
Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using ...TELKOMNIKA JOURNAL
This study aims to develop Fuzzy Inference System (FIS) trail of star seeing over ITERA Astronomical Observatory (IAO) using surface meteorological parameter during site selection to develop observatory. The one-day surface meteorological observation such as Pressure (P), Temperature (T), and Humidity (H) and trail of Albireo (β Cyg) star seeing value was taken from Mt. Betung, Lampung, Indonesia. The surface meteorological data are analyzed to obtain Albireo (β Cyg) star seeing value in 3 to 4 August 2017. By using statistical method obtained the seeing value in daily variation of Albireo (β Cyg) star trail with surface meteorological as a predictor parameter. The standard error of estimate (S-Value) between predictor parameter (pressure and humidity) with Albireo star seeing are reached 0.0027543 in two days variation. Based on the result, the three Membership Functions (MFs) with Gaussian function was proposed in this study to develop FIS trail of star. The result shows that the configuration analysis from input parameter FIS with 15 role bases from surface meteorological parameter has successful to target with Albireo (β Cyg) star trail. The 15 role bases from FIS was used to estimate seeing value from meteorological parameter in near future.
Chronological Calibration Methods for Landsat Satellite Images iosrjce
IOSR Journal of Applied Physics (IOSR-JAP) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Data-driven wildfire spread modeling - Extension to cases with complex terrai...Mélanie Rochoux
This talk presents the FIREFLY data-driven wildfire simulator capable of forecasting wildfire spread behavior over complex terrain topography. The fire propagation is represented by time-evolving two-dimensional fronts along the horizontal plane in order to remain consistent with the formulation of the PE-/SE-based EnKF algorithms that were initially developed for flat terrain configuration.
Reference published in 2014
➞ M.C. Rochoux, C. Emery, S. Ricci, B. Cuenot & A. Trouvé: Comparative study of parameter estimation and state estimation approaches in data-driven wildfire spread modeling, Advances in Forest Fire Research, Imprensa da Universidade de Coimbra, Viegas, Domingo Xavier (ed.), doi: 10.14195/978-989-26-0884-6, presented at VII International Conference on Forest Fire Research, Coimbra (Portugal), 14-20 November, 2014.
First step towards data-driven wildfire spread modeling Mélanie Rochoux
This talk presents the preliminary prototype data-driven wildfire spread simulator based on the extended Kalman filter (EKF) with a parameter estimation approach. Since then, FireFly was extended to an ensemble Kalman filter (EnKF) to better account for model nonlinearities.
Reference published in January 2013
➞ Rochoux, M.C., Delmotte, B., Cuenot, B., Ricci, S., and Trouvé, A. (2013) Regional-scale simulations of wildland fire spread informed by real-time flame front observations, Proceedings of the Combustion Institute, 34, 2641-2647, doi: 10.1016/j.proci.2012.06.090
ESA SMOS (Soil Moisture and Ocean Salinity) Mission: Principles of Operation ...adrianocamps
SMOS basic principles and description of some products developed at the SMOS Barcelona Expert Center.
Disclaimer: these materials were prepared for Eduacational purposes only.
Hyperspectral Imagery for Environmental Mapping and MonitoringDominique BUFFET
Hyperspectral Imagery for Environmental Mapping and Monitoring: Case Study of Grassland in Belgium.
The objective of this study is to show that hyperspectral imagery can be used to characterise grassland as well as its biophysical and biochemical properties.
Summary of current radiometric calibration coefficients for Landsat MSS, TM, ETM+,
and EO-1 ALI sensors
Gyanesh Chander a,⁎, Brian L. Markham b, Dennis L. Helder c
a SGT, Inc. 1 contractor to the U.S. Geological Survey (USGS) Earth Resources Observation and Science (EROS) Center, Sioux Falls, SD 57198-0001, USA
b National Aeronautics and Space Administration (NASA) Goddard Space Flight Center (GSFC), Greenbelt, MD 20771, USA
c South Dakota State University (SDSU), Brookings, SD 57007, USA
Development of a Java-based application for environmental remote sensing data...IJECEIAES
Air pollution is one of the most serious problems the world faces today. It is highly necessary to monitor pollutants in real-time to anticipate and reduce damages caused in several fields of activities. Likewise, it is necessary to provide decision makers with useful and updated environmental data. As a solution to a part of the above-mentioned necessities, we developed a Java-based application software to collect, process and visualize several environmental and pollution data, acquired from the Mediterranean Dialog earth Observatory (MDEO) platform [1]. This application will amass data of Morocco area from EUMETSAT satellites, and will decompress, filter and classify the received datasets. Then we will use the processed data to build an interactive environmental real-time map of Morocco. This should help finding out potential correlations between pollutants and emitting sources.
Developing Fuzzy Inference System of the Observed Albireo Star’s Trail using ...TELKOMNIKA JOURNAL
This study aims to develop Fuzzy Inference System (FIS) trail of star seeing over ITERA Astronomical Observatory (IAO) using surface meteorological parameter during site selection to develop observatory. The one-day surface meteorological observation such as Pressure (P), Temperature (T), and Humidity (H) and trail of Albireo (β Cyg) star seeing value was taken from Mt. Betung, Lampung, Indonesia. The surface meteorological data are analyzed to obtain Albireo (β Cyg) star seeing value in 3 to 4 August 2017. By using statistical method obtained the seeing value in daily variation of Albireo (β Cyg) star trail with surface meteorological as a predictor parameter. The standard error of estimate (S-Value) between predictor parameter (pressure and humidity) with Albireo star seeing are reached 0.0027543 in two days variation. Based on the result, the three Membership Functions (MFs) with Gaussian function was proposed in this study to develop FIS trail of star. The result shows that the configuration analysis from input parameter FIS with 15 role bases from surface meteorological parameter has successful to target with Albireo (β Cyg) star trail. The 15 role bases from FIS was used to estimate seeing value from meteorological parameter in near future.
Chronological Calibration Methods for Landsat Satellite Images iosrjce
IOSR Journal of Applied Physics (IOSR-JAP) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of physics and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in applied physics. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.
Satellite Image Processing technique to enhance raw images received from cameras or sensors placed on satellites, space probes and aircrafts or pictures taken in normal day to day life in various applications.
On Friday October 14 at 10, at the headquarters of Novacaixagalicia Foundation in Santiago de Compostela, the Chairman of Ports, Gozález Laxe Fernando and the Director General Merchant Marine, Maria Isabel Durantez, will present "Results of MyOcean Project. New Frontiers in Operational Oceanography" the most Operational Oceanography ambitious those undertaken to date by the European Union.
El 29 de febrero y el 1 de marzo de 2016, la Fundación Ramón Areces analizó la relación entre 'Big Data y el cambio climático' en unas jornadas. ¿Puede el Big Data ayudar a reducir el cambio climático? ¿Cómo contribuirá ese análisis masivo de datos a prevenir y gestionar catástrofes naturales? Son solo algunas de las preguntas a las que intentarán responder los ponentes. Las ciencias vinculadas al clima tienen en el Big Data una herramienta muy prometedora para afrontar diferentes fenómenos asociados al cambio climático.
Deriving environmental indicators from massive spatial time series using open...Markus Neteler
Geospatial Analytics Forum at North Carolina State University, 4 Sept 2014 - http://geospatial.ncsu.edu/about/geoforum/
See also: http://opensource.com/education/14/9/back-school-grass-gis