• Title/Summary/Keyword: NOAA

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Remote Sensing Data receiving and research activities using NOAA-AVHRR and Terra/Aqua-MODIS at ACRoRS, AIT

  • PHONEKEO Vivarad;SAMARAKOON Lal;YOKOYAMA Ryuzo
    • Proceedings of the KSRS Conference
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    • 2004.10a
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    • pp.31-33
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    • 2004
  • Two receiving systems were established at the Asian Center for Research on Remote Sensing (ACRoRS) to receive remote sensing data from NOAA AVHRR and Terra/Aqua MODIS sensors in October 1997 and May 2001, respectively. The data, which has been received in the research center, are very important to support and promote the remote sensing research activities for global environmental issues in Asia. Since the day of the establishment, many research and applications, which used these data, have been conducted. The data sets have been provided to researchers and users in many countries in the region to conduct research, to strengthen the research collaboration and education.

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TRACING MARCH 2004 AND DECEMBER 2005 HEAVY SNOWFALL OF SOUTH KOREA USING NOAA AVHRR IMAGES

  • Shin, Hyung-Jin;Park, Geun-Ae;Kim, Seong-Joon
    • Proceedings of the KSRS Conference
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    • v.1
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    • pp.110-113
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    • 2006
  • This study is to grasp and analyse the temporal and spatial distribution of record-breaking heavy snowfall rarely occurred in the middle and southwest region of South Korea during March of 2004 and December of 2005 respectively. Snow cover area was extracted using the channels 1, 3 and 4 of NOAA AVHRR images and the snow depth distribution was spatially interpolated using snowfall data of meteorological stations. Using administration boundary and Digital Elevation Model from 1:5,000 NGIS digital map, the snowfall impact was assessed spatially and compared with the reports at that time.

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Characteristics of 10-day composite NDVI and LAI in Korea Peninsula Using NOAA AVHRR Data (NOAA AVHRR데이터를 이용한 한반도의 순별 NDVI와 LAI 특성)

  • Park, Jong-Hwa;Jun, Taek-Ki;Na, Sang-Il;Park, Min-Seo
    • Proceedings of the Korean Society of Agricultural Engineers Conference
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    • 2005.10a
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    • pp.649-654
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    • 2005
  • This study proposes a particular approach to assess information about NDVI(Normalized Difference Vegetation Index) and LAI(Leaf Area Index) from the spectroradiometer and NOAA/AVHRR satellite data. AVHRR data were collected in twelves months over a one year period in 2004. We calculated 10-day composite NDVI using daily composite AVHRR surface reflectance products(1km spatial resolution). The 10-day composite NDVI have a great effect on the plant growth conditions. Considerably, NDVI was increased by developing muscle fiber tissue from April to May. Then the NDVI increased until the August and then decreased until February. The highest month was at August and the lower month was at December. The difference NDVI analysis using December and another months data was conducted, the results were provided information on the variation of vegetation coverage. The result suggest that a relationship established between the LAI and NDVI in 2004.

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Monitoring of Land Surface Dynamics in Northeastern Asia with NOAA/AVHRR Data from 1984 to 1993

  • Oyoshi, K.;Takeuch, Wataru;Yasuoka, Yoshifumi
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1128-1130
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    • 2003
  • This study investigated interannual variations in Northeastern Asian vegetation activity inferred from NOAA/AVHRR data during 1984 to 1993. Firstly, original NOAA/AVHRR data was radiometrically and atmospherically corrected in order to produce a consistent and calibrated time series NDVI by eliminating the effect of atmospheric effects and sensor degradation. Next, the NDVI data was analyzed to detect terrestrial ecosystem responses to climate change. A larger increase in growing season NDVI magnitude was observed in Northeastern Asia. Especially, vegetation activity is increasing in north part of Northeastern Asia. However, satellite drift and eruption effect have affect on interannual NDVI variations and it has affected the result in some degree. To improve accuracy of the result, it is necessary to correct these effects.

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Estimation of Monthly Evapotranspiration using NOAA/AVHRR Satellite Images

  • Kwon, Hyung J.;Kim, Seong J.;Shin, Sha C.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.670-672
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    • 2003
  • The purpose of this study is to estimate monthly evapotranspiration (ET) using normalized difference vegetation index (NDVI) obtained from NOAA/AVHRR data sets. Actual evapotranspiration was evaluated by the complementary relationship (Morton, 1978, Brutsaert and Stricker, 1979), and monthly NDVI was obtained by maximum value composite method from daily NDVI images in the Korean peninsula for the year 2001. The monthly actual ETs for each land cover were compared with the monthly NDVIs to determine relationships between actual ET and NDVI for each land cover category. There was a high correlation between monthly NDVI and monthly averaged actual ET. This study presents an alternative approach for land surface evapotranspiration based on remote sensing techniques.

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Monitoring of Agriculture land in Egypt using NOAA-AVHRR and SPOT Vegetation data

  • Shalaby, A.;Ghar, M. Aboel;Tateishi, R.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.18-20
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    • 2003
  • Land cover change detection is one of the most important trends in which remote sensing data could be used to assist strategists and the planners to decide the best land use policy. Two images of NOAA-AVHRR and SPOT vegetation acquired in November 1992 and 2002 were used to assess the changes of Agricultural lands in Egypt. A supervised classification together with two change images derived from classification result and NDVI were used to evaluate the trend and form of the change. It was found that agricultural areas increased by about 14.3 % during the study period in particular around the River Nile Delta and near the Northern Lakes of Egypt. The new cultivated lands were extracted mainly from the desert and from the salt marches areas. At the same time, parts of the agricultural lands were turned into non-cultivated land because of the urban expansion and soil degradation.

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Intensive land-based production of red and green macroalgae for human consumption in the Pacific Northwest: an evaluation of seasonal growth, yield, nutritional composition, and contaminant levels

  • Gadberry, Bradley A.;Colt, John;Maynard, Desmond;Boratyn, Diane C.;Webb, Ken;Johnson, Ronald B.;Saunders, Gary W.;Boyer, Richard H.
    • ALGAE
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    • v.33 no.1
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    • pp.109-125
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    • 2018
  • Turkish towel (Chondracanthus exasperatus), Pacific dulse (Palmaria mollis, also known as Red ribbon seaweed), and sea lettuce (Ulva spp.) were cultivated in a land-based intensive culture system at the Manchester Research Station, USA from August 2013 to September 2014. Macroalgae were grown in tumble-aerated tanks, harvested bimonthly for seasonal growth calculations, and analyzed for protein, lipid, ash, and amino acid content. Growth rate of all three species exhibited a similar pattern, with the highest specific growth rates occurring during the summer months (Turkish towel: 7.8%, Pacific dulse: 8.2%, and sea lettuce: 6.2%). Growth of all three species was lowest around winter solstice; with negative growth only observed in sea lettuce. On a dry weight basis significant differences in protein content existed between the three species with highest values for sea lettuce ($29.5{\pm}1.4%$). Lipid content varied between species (0.95-2.78%) with significantly higher lipid observed in sea lettuce (0.58-4.82%). No significant differences were detected on a seasonal basis among each species. Essential amino acids accounted for $43{\pm}0.9$ to $47{\pm}1.2%$ of total amino acids with Turkish towel having the highest value. Turkish towel had a significantly higher taurine level ($0.82{\pm}0.27$) than the other macroalgae. The levels of persistent organic pollutants and heavy metals were low. The estimated annual product of the three species ranged from 50- to $70-mt\;dry\;weight\;ha^{-1}\;y^{-1}$, significantly higher than conventional crops. Land-based culture of these species can produce year-round harvest, consistent product quality, and low contaminant levels.

A Simple Method for Classifying Land Cover of Rice Paddy at a 1 km Grid Spacing Using NOAA-AVHRR Data (NOAA-AVHRR 자료를 이용한 1 km 해상도 벼논 피복의 간이분류법)

  • 구자민;홍석영;윤진일
    • Korean Journal of Agricultural and Forest Meteorology
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    • v.3 no.4
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    • pp.215-219
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    • 2001
  • Land surface parameterization schemes for atmospheric models as well as decision support tools for ecosystem management require a frequent updating of land cover classification data for regional to global scales. Rice paddies have not been treated independently from other agricultural land classes in many classification systems, despite their atmospheric and ecological significance. A simple but improved method over conventional land cover classification schemes for rice paddy is suggested. Normalized difference vegetation index (NDVI) was calculated for the land area of South Korea at a 1km by 1 km resolution from the visible and the near-infrared channel reflectances of NOAA-AVHRR (Advanced Very High Resolution Radiometer). Monthly composite images of daily maximum NDVI were prepared for May and August, and used to classify 4 major land cover classes : urban, farmland, forests and water body. Among the pixels classified as "forests" in August, those classified as "water body" in May were assigned a "rice paddy" class. The distribution pattern of "rice paddy" pixels was very similar to the reported rice acreage of 1,455 Myons, which is the smallest administrative land unit in Korea. The correlation coefficient between the estimated and the reported acreage of Myons was 0.7, while 0.5 was calculated from the USGS classification.calculated from the USGS classification.

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SL/SST variations and their correlations in the North East Asian Sens by remote sensing (Topex/Poseidon, NOAA)

  • Yoon, Hong-Joo
    • Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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    • 2003.04a
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    • pp.297-299
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    • 2003
  • Altimeter(Topex/Poseidon) and AVHRR(NOAA) data were used to study the variations and correlations of Sea Level(SL) and Sea Surface Temperature (SST) in the North East Asian Seas from November 1993 to May 1998. This region is influenced simultaneously to continental and oceanic climate as the border of the East Sea(Japan Sea). SL and SST have increased gradually every year because the global warming, and presented usually a strong annual variations in Kuroshio extension region with the influence of bottom topography.

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