نتایج جستجو برای: avhrr images

تعداد نتایج: 263171  

Journal: Desert 2013
M. Sarajian R. Zarei 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...

2005
Myeong-Jae Jeong Zhanqing Li D. Allen Chu Si-Chee Tsay

[1] There exist numerous global aerosol products derived from various satellite sensors, but little insight has been gained about their compatibility and quality. This study presents a comparison of two prominent global aerosol products derived over oceans from the advanced very high resolution radiometer (AVHRR) under the Global Aerosol Climatology Project (GACP) (Mishchenko et al., 1999) and ...

2003
Ryuzo Yokoyama Liping Lei

The 10-day AVHRR composite image data sets for Asian region have been generated from the daytime AVHRR HPRT data received at Tokyo, Kuroshima, Ulaanbaatar and Bangkok. A Global AVHRR Image Compositing System (GAVICS) developed by Iwate University, Japan, was applied to the image processing. The GAVICS is an automatic processing system that produces single or composite AVHRR data from the raw HP...

2004
L. M. Mitnik V. A. Dubina G. V. Shevchenko

A combined use of SAR (ERS-1, ERS-2 and Envisat), visible and thermal infrared (NOAA AVHRR) and microwave radiometric (Aqua AMSR-E) images as well as the results of modeling were integrated to associate the SAR backscatter patterns observed in warm and cold seasons to physical and biological forcing processes between southern Sakhalin and northern Hokkaido-Kuril Islands. The Soya Warm Current f...

2000
A. R. S. MARÇAL B. TRIEBFÜRST C. SCHNEIDER

An attempt has been made to assess the e ciency of image data compression by wavelet transform encoding using National Oceanic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) images. Raw and derived images were compressed to various levels and a number of parameters in the decompressed images compared with those obtained using raw data as a yardstick agai...

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...

2001
Ragnar Bang Huseby Rune Solberg

Sammendrag/Abstract: In this report, we describe a method for geometric correction of satellite images generalizing a method developed for NOAA AVHRR images. The method is based on modeling the imaging process, including satellite orbital modeling. We also present an approach for automatic detection of ground control points based on matching of a near-infrared band with watermasks. The methods ...

Journal: :Earth System Science Data 2021

Abstract. A long-term Advanced Very High Resolution Radiometer (AVHRR) snow cover extent (SCE) product from 1981 until 2019 over China has been generated by the research team in Northwest Institute of Eco-Environment and Resources (NIEER), Chinese Academy Sciences. The NIEER AVHRR SCE a spatial resolution 5 km daily temporal resolution, it is completely gap-free product, which produced through ...

Journal: :Bulletin of the American Meteorological Society 2021

Abstract The Advanced Very High Resolution Radiometers (AVHRR), which have been flying on National Oceanic and Atmospheric Administration’s (NOAA) polar-orbiting weather satellites since 1978, provide the longest global record of Earth observations from a visible–infrared imager. Experience gained through AVHRRs has integral to development new-generation sensors such as Moderate Imaging Spectro...

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