نتایج جستجو برای: modis image

تعداد نتایج: 383674  

2010
G. R. Harish Kumar D. Singh Harish Kumar

It is a current need of research to extensively use the freely available satellite images. The most commonly available satellite images are Moderate Resolution Imaging Spectroradiometer (MODIS) and Advanced Very High Resolution Radiometer (AVHRR). The problems with these images are their poor spatial resolution that restricts their use in various applications. This restriction may be minimized ...

Journal: :Procedia Environmental Sciences 2011

Journal: :International Journal of Remote Sensing 2002

ژورنال: علوم آب و خاک 2008
خواجه‌الدین, سید جمال‌الدین, براتی, سوسن , رایگانی, بهزاد , سلطانی کوپایی, سعید ,

‏Snow is a huge water resource in most parts of the world. Snow water equivalent supplies 1/3 of the water requirement for farming and irrigation throughout the world. Water content estimation of a snow-cover or estimation of snowmelt runoff is necessary for Hydrologists. Several snowmelt-forecasting models have been suggested, most of which require continuous monitoring of snow-cover. Today mo...

Journal: :Remote Sensing 2011
Egidio Arai Yosio Edemir Shimabukuro Gabriel Pereira Nandamudi Lankalapalli Vijaykumar

The analysis of rapid environment changes requires orbital sensors with high frequency of data acquisition to minimize cloud interference in the study of dynamic processes such as Amazon tropical deforestation. Moreover, a medium to high spatial resolution data is required due to the nature and complexity of variables involved in the process. In this paper we describe a multiresolution multitem...

Journal: :Remote Sensing 2013
Ricardo Trezza Richard G. Allen Masahiro Tasumi

Estimation of actual evapotranspiration (ET) for the Middle Rio Grande valley in central New Mexico via the METRIC surface energy balance model using MODIS and Landsat imagery is described. MODIS images are a useful resource for estimating ET at large scales when high spatial resolution is not required. One advantage of MODIS satellites is that images having a view angle < ~15° are potentially ...

2007
Kei OYOSHI Wataru TAKEUCHI Yoshifumi YASUOKA

We investigated utilization of Japanese geostationary meteorological satellite, Multi-functional Transport Satellite (MTSAT) data which is able to provide hourly image to a terrestrial monitoring. Firstly, SZA angular effect in reflectance channel was corrected, then algorithms for daily composite were compared. Hourly measurement of MTSAT increased the chance of observing cloud-free land surfa...

Journal: :Remote Sensing 2015
Jesslyn F. Brown Daniel M. Howard Bruce K. Wylie Aaron Frieze Lei Ji Carolyn Gacke

Monitoring systems benefit from high temporal frequency image data collected from the Moderate Resolution Imaging Spectroradiometer (MODIS) system. Because of near-daily global coverage, MODIS data are beneficial to applications that require timely information about vegetation condition related to drought, flooding, or fire danger. Rapid satellite data streams in operational applications have c...

Journal: :Remote Sensing 2015
Andrea Pisano Francesco Bignami Rosalia Santoleri

We present a methodology to detect oil spills using MODIS near-infrared sun glittered radiance imagery. The methodology was developed by using a set of seven MODIS images (training dataset) and validated using four other images (validation dataset). The method is based on the ratio image R = L'GN/LGN, where L'GN is the MODIS-retrieved normalized sun glint radiance image and LGN the same quantit...

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 ...

نمودار تعداد نتایج جستجو در هر سال

با کلیک روی نمودار نتایج را به سال انتشار فیلتر کنید