نتایج جستجو برای: noaa avhrr

تعداد نتایج: 3760  

Journal: :desert 2013
r. zarei m. sarajian s. bazgeer

drought is a major environmental disaster in many parts of the world. knowledge about the timing, severity and extentof drought can aid planning and decision-making. drought indices derived from in-situ meteorological data have coarsespatial and temporal resolutions, thus, obtaining a real-time drought condition over a large area is difficult. this studyused advanced very high resolution radiom...

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Journal: :IEEE Trans. Geoscience and Remote Sensing 2002
José A. Sobrino José C. Jimenez Naoufal Raissouni Guillem Soria

A simplified method for estimating the total amount of atmospheric water vapor, , over sea surfaces using NOAA-AVHRR Channels 4 and 5 is presented. This study has been carried out using simulated AVHRR data at 11 and 12 m (with MODTRAN 3.5 code and the TIGR database) and AVHRR, PODAAC, and AVISO databases provided by the Louis Pasteur University (Strasbourg-France), NASA-NOAA, and Météo France,...

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1999
F. SIEGERT A. HOFFMANN S. KUNTZ

In 1997 and 1998 uncontrolled fires devastated huge tracts of tropical rainforests in Kalimantan on the island of Borneo in Indonesia. Here we report on results of a comparative study of ERS-2 ATSR hotspot and NOAA-AVHRR hotspot data used to analyse the extent of this disaster. A burned scar map derived from a Landsat TM image acquired after the fires and extensive ground data were used to asse...

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Journal: :Remote Sensing 2017
Karl-Göran Karlsson Nina Håkansson Jonathan P. D. Mittaz Timo Hanschmann Abhay Devasthale

A method for reducing the impact of noise in the 3.7 micron spectral channel in climate data records derived from coarse resolution (4 km) global measurements from the Advanced Very High Resolution Radiometer (AVHRR) data is presented. A dynamic size-varying median filter is applied to measurements guided by measured noise levels and scene temperatures for individual AVHRR sensors on historic N...

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2000
W. PICHEL X. LI E. MATURI P. CLEMENTE - COLÓN J. SAPPER

The National Oceanic and Atmospheric Administration (NOAA) currently uses Nonlinear Sea Surface Temperature (NLSST) algorithms to estimate sea surface temperature (SST) from NOAA satellite Advanced Very High Resolution Radiometer (AVHRR) data. In this study, we created a three-month dataset of global sea surface temperature derived from NOAA-15 AVHRR data paired with coincident SST measurements...

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2002
Andrew K. Heidinger Changyong Cao Jerry T. Sullivan

[1] A series of 10 advanced very high resolution radiometers (AVHRRs) flown on National Oceanic and Atmospheric Administration (NOAA)’s polar-orbiting satellites for over 20 years has provided data suitable for many quantitative remote sensing applications. To be useful for geophysical research, each radiometer must be accurately calibrated, which poses problems in the AVHRR reflectance channel...

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2014
Tomoaki Miura

Spectral vegetation indices obtained from satellite sensors have been used to measure and monitor the Earth’s vegetative cover from local, regional, to global scales. The normalized difference vegetation index (NDVI) has been the most widely-used index and shown to correlate with green leaf area index, green biomass, and net primary productivity. The NDVI from the two sensors, National Oceanic ...

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Journal: :Remote Sensing 2016
Sajid Pareeth Luca Delucchi Markus Metz Duccio Rocchini Abhay Devasthale Martin Raspaud Rita Adrian Nico Salmaso Markus Neteler

Analyzing temporal series of satellite data for regional scale studies demand high accuracy in calibration and precise geo-rectification at higher spatial resolution. The Advanced Very High Resolution Radiometer (AVHRR) sensor aboard the National Oceanic and Atmospheric Administration (NOAA) series of satellites provide daily observations for the last 30 years at a nominal resolution of 1.1 km ...

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2004
Christof J. Weissteiner Walter Kühbauch

Mit Hilfe von Fernerkundung und zusätzlichen Hilfsdaten sind frühzeitige und objektive Ernteprognosen deutlich vor der Ernte möglich. Dies wurde am Beispiel Braugerste für 2 Regionen in Südwest-Deutschland gezeigt. Demnach können Vorhersagen für Flächenerträge von Braugerste (Sommergerste) bereits 3 – 6 Wochen vor der Ernte vorliegen. Die Prognosefehler, welche abhängig vom Prognosezeitpunkt si...

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Journal: :Journal of Geophysical Research 2005

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