نتایج جستجو برای: alos avnir 2
تعداد نتایج: 2525931 فیلتر نتایج به سال:
Our research goal is to monitor the water pollution and aquatic plants in the coastal lagoon environments using satellite data. This time, our past activities concerning some satellite study project and the preliminary result of ALOS/AVNIR-2 analysis in coastal lagoon such as Lakes Shinji and Nakaumi are introduced.
Development and Validation of New Glacial Lake Inventory in the Bhutan Himalayas Using ALOS ‘DAICHI’
This study aims to develop and validate a new glacial lake inventory in order to gain an understanding of existing conditions. This is being done using optical imageries acquired by the Panchromatic Remote-sensing Instrument for Stereo Mapping (PRISM) and the Advanced Visible and Near Infrared Radiometer type 2 (AVNIR-2) onboard the Advanced Land Observing Satellite (ALOS, nicknamed ‘Daichi’). ...
Aim of study: The ambrosia beetle, Platypus quercivorus, is a vector of Japanese oak wilt, which causes massive mortality of oak trees in Japan. ALOS/AVNIR-2 true color images can be used to help detect areas of oak wilt, although such detection by inventory surveys is not realistic. Applying pan-sharpening techniques, a higher spatial resolution multispectral image can be generated from lower-...
Spatial-Temporal Clustering Characteristics of Dengue in the Northern Region of Sri Lanka, 2010-2013
Dengue outbreaks are affected by biological, ecological, socio-economic and demographic factors that vary over time and space. These factors have been examined separately and still require systematic clarification. The present study aimed to investigate the spatial-temporal clustering relationships between these factors and dengue outbreaks in the northern region of Sri Lanka. Remote sensing (R...
Remote sensing data from multi-source optical and SAR (Synthetic Aperture Radar) sensors have been widely utilized to detect forest dynamics under a variety of conditions. Due to different temporal coverage, spatial resolution, and spectral characteristics, these sensors usually perform differently from one another. To conduct statistical modeling accuracies evaluation and comparison among seve...
Accurate estimation of rice biomass and yield estimation are not only important for rice cropping management, but also for quantitative understanding of carbon cycle in agricultural ecosystems. In this study, the fresh biomass is estimated by using broadband indices from multispectral sensor AVNIR-2 on board ALOS platform. A field campaign was carried out during June 2010 in northern part of Ir...
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