The "AVHRR compatible Normalized Difference Vegetation Index derived from MERIS data (MERIS_AVHRR_NDVI)" was developed in a co-operative effort of DLR (German Remote Sensing Data Centre, DFD) and Brockmann Consult GmbH (BC) in the frame of the MAPP project (MERIS Application and Regional Products Projects). For the generation of regional specific value added MERIS level-3 products, MERIS full-resolution (FR) data are processed on a regular (daily) basis using ESA standard level-1b and level-2 data as input. The regular reception of MERIS-FR data is realized at DFD ground station in Neustrelitz. The Medium Resolution Imaging MERIS on Board ESA's ENVISAT provides spectral high resolution image data in the visible-near infrared spectral region (412-900 nm) at a spatial resolution of 300 m. For more details on ENVISAT and MERIS see http://envisat.esa.int The Advanced Very High Resolution Radiometer (AVHRR) compatible vegetation index (MERIS_AVHRR_NDVI) derived from data of the MEdium Resolution Imaging Spectrometer (MERIS) is regarded as a continuity index with 300 meter resolution for the well-known Normalized Difference Vegetation Index (NDVI) derived from AVHRR (given in 1km spatial resolution). The NDVI is an important factor describing the biological status of canopies. This product is thus used by scientists for deriving plant and canopy parameters. Consultants use time series of the NDVI for advising farmers with best practice. For more details the reader is referred to http://wdc.dlr.de/sensors/meris/ and http://wdc.dlr.de/sensors/meris/documents/Mapp_ATBD_final_i3r0dez2001.pdf This product provides daily maps.
The "AVHRR compatible Normalized Difference Vegetation Index derived from MERIS data (MERIS_AVHRR_NDVI)" was developed in a co-operative effort of DLR (German Remote Sensing Data Centre, DFD) and Brockmann Consult GmbH (BC) in the frame of the MAPP project (MERIS Application and Regional Products Projects). For the generation of regional specific value added MERIS level-3 products, MERIS full-resolution (FR) data are processed on a regular (daily) basis using ESA standard level-1b and level-2 data as input. The regular reception of MERIS-FR data is realized at DFD ground station in Neustrelitz. The Medium Resolution Imaging MERIS on Board ESA's ENVISAT provides spectral high resolution image data in the visible-near infrared spectral region (412-900 nm) at a spatial resolution of 300 m. For more details on ENVISAT and MERIS see http://envisat.esa.int The Advanced Very High Resolution Radiometer (AVHRR) compatible vegetation index (MERIS_AVHRR_NDVI) derived from data of the MEdium Resolution Imaging Spectrometer (MERIS) is regarded as a continuity index with 300 meter resolution for the well-known Normalized Difference Vegetation Index (NDVI) derived from AVHRR (given in 1km spatial resolution). The NDVI is an important factor describing the biological status of canopies. This product is thus used by scientists for deriving plant and canopy parameters. Consultants use time series of the NDVI for advising farmers with best practice. For more details the reader is referred to http://wdc.dlr.de/sensors/meris/ and http://wdc.dlr.de/sensors/meris/documents/Mapp_ATBD_final_i3r0dez2001.pdf This product provides monthly maps.
Innerhalb des Geschäftsbereiches des Bundesministeriums für Verkehr und Digitale Infrastruktur (BMVI) werden Wasserstandsdaten insbesondere durch die Oberbehörden Bundesanstalt für Gewässerkunde (BfG) sowie Bundesamt für Seeschifffahrt und Hydrographie (BSH) für verschiedenste Anwendungen im Küstenbereich bzw. Seebereich der Nord- und Ostsee ausgewertet. Die Wasserspiegeldaten basieren primär auf Pegelbeobachtungen, die sich für marine bzw. ästuarine Fragestellungen überwiegend auf Standorte an der Küstenline beschränken. Für eine Vielzahl an Anwendungen bedeutet dies eine signifikante Einschränkung hinsichtlich der Verfügbarkeit und Qualität von Basisinformationen. Daher wird im Rahmen einer durch die BfG gesteuerten Vorstudie untersucht, welche Möglichkeiten sich aus der Satellitenaltimetrie ergeben, wenn die Satelliten als 'Pegel am Himmel' aufgefasst werden und somit linien-/ flächenhafte Quasi-Pegelbeobachtungen auf offener See liefern. Als wesentliche Voraussetzung für die erfolgreiche Integration der Satellitenaltimetrie in die derzeitigen Verfahrensabläufe ist die zu den Pegelmessungen konsistente Aufbereitung der Satellitenbeobachtungen und insbesondere eine Anpassung an die lokalen Gegebenheiten in der Nordsee zu sehen.
1. Vorhabenziel: Im Rahmen des Projektes sollen Messungen von Ballonprofilen von BrO, CIO, und CIONO2 in räumlicher und zeitlicher Nähe mit ENVISAT-Satellitenprofilen (SCIAMACHY und MIPAS) durchgeführt, ausgewertet und auf Ihre interne Konsistenz hin untersucht werden. Durch Vergleich der Ballonprofile mit den entsprechenden ENVISAT-Profilen soll die Langzeitzeitstabilität und Konsistenz der Satellitenmessung sichergestellt werden. 2. Arbeitsplanung: Die Arbeiten setzen sich zusammen aus: 1. Validierung von SCIAMACHY Brom-Profilen anhand von BrO-Ballonmessungen, 2. Konsistenzuntersuchungen von SCIAMACHY OCIO-Profilen anhand von BrO- und CIO-Ballonmessungen und photochemischer Modellierung, 3. Test von ballongetragenen CIONO2-Messungen zur MIPAS Validierung, und 4. Meteorologische Kampagnenunterstützung zur Planung der Ballonflüge der MIPAS, DOAS und TWIN-Ballonnutzlasten. 3. Ergebnisverwertung: Die Ergebnisse dienen zur Qualitätssicherung und Verbesserung der Retrievalalgorithmen für die ENVISAT SCIAMACHY- und MIPAS-Instrumente. Ferner werden die Daten in Kombination mit Daten der Satelliteninstrumente und anderer Validationsergebnissen mittels photochemischer Modellierung zur Überprüfung unseres Verständnisses der stratosphärischen Halogenchemie her.
The data set provides GFZ VER13 orbits of altimetry satellites:ERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),TOPEX/Poseidon (September 23, 1992 - October 8, 2005),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015)derived at the time spans given at the GFZ German Research Centre for Geosciences (Potsdam, Germany) within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software (Zhu et al., 2004) and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the ITRF2014 terrestrial reference frame for all satellites using common, most precise models and standards available and described below.The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1, and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations. For Envisat, altimeter crossover data were used additionally at 44 of 764 orbital arcs with gaps in SLR and DORIS data.The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c). Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM for month and DD for day of the beginning of the file. More details on these orbits are provided in Rudenko et al. (2018) to which these orbits are supplementary material.
The Kyoto Protocol, which the EU has recently ratified, calls for a quantitative reduction in greenhouse gas emissions by the year 2008 to 2010. However global emissions, sources and sinks, are not accurately known. EVERGREEN proposes to improve this situation by using the measurements of ENVISAT, a European Earth Observation satellite. Improved greenhouse gas emission inventories will be produced from a combination of measurement and (inverse) modelling. The feasibility and quality of the method will be assessed. Measurements include (partial) columns of CO2, CH4, N2O, CO, O3, NO2 and H2O. The focus will be on methane and carbon monoxide and on regional and seasonal variations. Carbon dioxide source and sink strengths will be included on a best-effort basis. End-user involvement is arranged through participation of one coal industry and several national/European institutes, with responsibility for environment and climate issues.
The "AVHRR compatible Normalized Difference Vegetation Index derived from MERIS data (MERIS_AVHRR_NDVI)" was developed in a co-operative effort of DLR (German Remote Sensing Data Centre, DFD) and Brockmann Consult GmbH (BC) in the frame of the MAPP project (MERIS Application and Regional Products Projects). For the generation of regional specific value added MERIS level-3 products, MERIS full-resolution (FR) data are processed on a regular (daily) basis using ESA standard level-1b and level-2 data as input. The regular reception of MERIS-FR data is realized at DFD ground station in Neustrelitz. The Medium Resolution Imaging MERIS on Board ESA's ENVISAT provides spectral high resolution image data in the visible-near infrared spectral region (412-900 nm) at a spatial resolution of 300 m. For more details on ENVISAT and MERIS see http://envisat.esa.int The Advanced Very High Resolution Radiometer (AVHRR) compatible vegetation index (MERIS_AVHRR_NDVI) derived from data of the MEdium Resolution Imaging Spectrometer (MERIS) is regarded as a continuity index with 300 meter resolution for the well-known Normalized Difference Vegetation Index (NDVI) derived from AVHRR (given in 1km spatial resolution). The NDVI is an important factor describing the biological status of canopies. This product is thus used by scientists for deriving plant and canopy parameters. Consultants use time series of the NDVI for advising farmers with best practice. For more details the reader is referred to http://wdc.dlr.de/sensors/meris/ and http://wdc.dlr.de/sensors/meris/documents/Mapp_ATBD_final_i3r0dez2001.pdf This product provides 10-days maps.
Aufgaben: 1. Erstellung eines auf die drei Hauptphasen der SCIAMACHY-Validierung (commissioning phase, main validation phase, long-term validation phase) abgestimmten Validierungsplans. 2. Koordination der einzelnen Messvorhaben, die der Erfassung der Validierungsdaten dienen. 3. Ueberwachung der Einhaltung des Validierungsplans. 4. Synthese der Validierungsergebnisse fuer die einzelnen Datenprodukte. 5. Identifikation von Problemen und Inkonsistenzen. 6. Krisenmanagement im Falle von durch die Validierung aufgedeckten Problemen mit der Qualitaet von Datenprodukten. 7. Koordination der Implementation von Verbesserungen der Auswertealgorithmen, die als Ergebnis der Validierung vorgenommen werden.
The data set provides GFZ VER11 orbits of altimetry satellitesERS-1 (August 1, 1991 - July 5, 1996),ERS-2 (May 13, 1995 - February 27, 2006),Envisat (April 12, 2002 - April 8, 2012),Jason-1 (January 13, 2002 - July 5, 2013) andJason-2 (July 5, 2008 - April 5, 2015)TOPEX/Poseidon (September 23, 1992 - October 8, 2005),derived at the time spans given at Helmholtz Centre Potsdam GFZ German Research Centre for Geosciences within the Sea Level phase 2 project of the European Space Agency (ESA) Climate Change Initiative using "Earth Parameter and Orbit System - Orbit Computation (EPOS-OC)" software and the Altimeter Database and processing System (ADS, http://adsc.gfz-potsdam.de/ads/) developed at GFZ. The orbits were computed in the same (ITRF2008) terrestrial reference frame for all satellites using common, most precise models and standards available and described below.The ERS-1 orbit is computed using satellite laser ranging (SLR) and altimeter crossover data, while the ERS-2 orbit is derived using additionally Precise Range And Range-rate Equipment (PRARE) measurements. The Envisat, TOPEX/Poseidon, Jason-1 and Jason-2 orbits are based on Doppler Orbitography and Radiopositioning Integrated by Satellite (DORIS) and SLR observations.The orbit files are available in the Extended Standard Product 3 Orbit Format (SP3-c, ftp://igscb.jpl.nasa.gov/igscb/data/format/sp3c.txt) Files are gzip-compressed. File names are given as sate_YYYYMMDD_SP3C.gz, where "sate" is the abbreviation (ENVI, ERS1, ERS2, JAS1, JAS2, TOPX) of the satellite name, YYYY stands for 4-digit year, MM stands for month and DD stands for day of the beginning of the file.More details on these orbits are provided in Rudenko et al. (2017)
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