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Spatial Variation of Vegetation Moisture Mapping Using Advanced Spaceborne Thermal Emission &Reflection Radiometer (ASTER) Data

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Journal of Environmental Protection 2010年第4期1卷 448-455页

作者： Vivek Kumar Singh Rajat Satpathy Reshma Parveen ayyem perumal thillai jeyaseelan 不详

Drought is a recurrent phenomenon in Jharkhand. It affects the livelihoods of the majority of its people, particularly tribals and dalits living in rural areas. Twelve of the 24 districts of the state, covering 43% of the total land area, are covered under the Drought Prone Areas Programme (DPAP). Hunger and starvation deaths are reported almost every year. Vegetation moisture content is one of the key parameters in drought monitoring, agricultural modelling and forest health mapping. In this paper the three different approaches is described using Advanced Spaceborne Thermal Emission & Reflection Radiometer (ASTER) data for measuring the vegetation moisture content in a part of Palamu Commissionaire of Jharkhand state, which is prone to severe drought. ASTER thermal data was used to calculate land surface temperature using Normalized Differential Vegetation Index (NDVI) emissivity correction method. Reflective bands are used to determine NDVI, Modified Soil Adjustment Vegetation Index (MSAVI) & Normalised Differential Water Index (NDWI). The three different vegetation moisture estimation methods namely MSAVI – LST (land surface temperature) feature space identification, NDWI & Vegetation Dryness Index (VDI) is applied to determine the vegetation moisture level. The results of three methods were classified and final moisture content map was produced. The result was validated using rainfall data of study area. This study indicates that by proper pre-processing of ASTER data, it can be used to estimate the land surface temperature and vegetation moisture content and can be used for drought prediction.

关键词： Vegetation Moisture ASTER LST NDWI VDI

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Orthorectification and Digital Elevation Model (DEM) Generation Using Cartosat-1 Satellite Stereo Pair in Himalayan Terrain

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Journal of Geographic Information System 2010年第2期2卷 85-92页

作者： Vivek Kumar Singh Prashant Kumar Champati Ray Ayyeum perumal thillai jeyaseelan 不详

High resolution data have high relief displacement in hilly terrains. Development of Digital Elevation model helps to assess bio resources more accurately in such terrains. While estimating bio resources in the Himalayan hilly terrain using multispectral LISS-III data of 23 m spatial resolution, the need for orthorectifcation of satellite data was necessary to correct for spatial distances due to high undulating slopes. Therefore, Cartosat stereo pair based Digital Elevation Model (DEM) was generated using the Rational Polynomial Coefficients (RPC) supplied along with the data products. By using the DEM orthorectification of LISS-III was created. In order to evaluate the positional accuracy of ortho rectified LISS-III Ground control points were selected using the Global Positioning System in differential GPS mode. As there is variation in the spatial distances and height over few points, the GCP corrected DEM was used for ortho rectifcation of Cartosat PAN and LISS-III data. This paper presents the procedure followed for ortho rectification and digital elevation model generation using Cartosat stereo pair data. The result of the study indicated high spatial resolution stereo images helped generation of three dimensional mountainous regions more accurately which helps in estimating the bio resources using multispectral LISS III data.

关键词： DEM Cartosat Stereo Pair Orthorectification Himalaya

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Seasonal variations of phytoplankton diversity in the Coleroon coastal waters,southeast coast of India

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Acta Oceanologica Sinica 2010年第5期29卷 97-108页

作者： thillai Rajasekar K Rajkumar M SUN Jun Ashok Prabu V perumal P Centre of Advanced Study in Marine Biology Annamalai University Tamil Nadu India Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China Department of Biotechnology Periyar University Tamil Nadu India

The results of an investigation carried out during June 2005 to May 2007 on physico-chemical parameters,species composition and community structure of phytoplankton including Chlorophyll a（Chl-a） at the Coleroon coastal waters（Southeast coast of India） are *** and surface water temperatures（℃） varied from 25.1 to 30.1 and from 24.5 to 28.5 *** values varied from 6 to 28.5 and the pH ranged between 7.0 and *** in dissolved oxygen content was from 3.1 to 7.5 mg/dm^3 while the light extinction coefficient values（LEC） ranged between 3.1 and 10.1 *** ranges of inorganic nutrients（μmol/dm^3） viz.,nitrate,nitrite,phosphate and silicate were 10.1-23.4,1.2-8.9,0.2-3.1 and 55-125,*** ranges of Chlorophyll a（μg/dm-3） values was ***,124 phytoplankton species representing different classes viz：Bacillariophyceae（77）,Dinophyceae（19）,Cyanophyceae（15）,Chlorophyceae（10） and Chrysophyceae（3） were *** phytoplankton cell abundance varied from 0.290 to 111.662 cells/cm-3,with peak diversity（3.38 bits/ind.） during summer *** maximum abundance was found during summer season coinciding with the stable hydrographical *** seasonal distribution and abundance of phytoplankton are discussed in relation to hydrographical *** Correspondence Analysis（CCA） was applied in this paper for discriminating environmental factors having effect on phytoplankton community at species *** coastal water is subjected to long term fluctuations in physico-chemical parameters depending upon the seasonal tidal amplitude and freshwater influx resulting in a continuous exchange of organic,inorganic,plant and animal matters.

关键词： physico-chemical parameters phytoplankton species composition abundance diversity Coleroon coastal waters

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Bloom Forming Species of Phytoplankton in Two Coastal Waters in the Southeast Coast of India

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Journal of Ocean University of China 2010年第3期9卷 265-272页

作者： K. thillai Rajasekar M. Rajkumar SUN Jun V. Ashok Prabu E perumal Centre of Advanced Study in Marine Biology Annamalai University Parangipettai - 608502 Tamil Nadu India Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 P. R. China Department of Biotechnology Periyar University Salem - 636011 Tamil Nadu India

The results of an investigation carried out during June 2005 to May 2007 on bloom-forming phytoplankton species composition and abundance in the Parangipettai and Coleroon coastal waters(Southeast coast of India) are *** and surface water temperatures(℃) varied from 25.1 to 30.1 and 24.5 to 28.5,respectively,in the former waters and from 25.5 to 31.2 and 25.0 to 29.3 in the latter *** respective salinities varied from 6.0 to 28.5 and 5.0 to 33.1 and the respective pH ranged between 7.0 and 8.3 and 7.2 and ***,the dissolved oxygen content varied from 3.1 to 7.5 and 3.1 to 7.9 mgL-1 while the light extinction coefficient(LEC) values ranged between 3.1 and 10.1 and 1.8 and *** content ranges of inorganic nutrients,i.e.,nitrate,nitrite,phosphate and silicate(μmolL-1),in the Parangipettai and Coleroon coastal waters were:6.5-27.0;1.0-8.9;0.1-3.0 and 15.0-140 and 10.1-23.4;1.2-8.9;0.2-3.1 and 55-125 *** chlorophyll a contents in both waters ranged from 2.0-7.5 μ***,124 phytoplankton species representing different classes were recorded in the Coleroon coast,viz,Bacillariophyceae(77);Dinophyceae(19);Cyanophyceae(15);Chlorophyceae(10) and Chrysophyceae(3),whereas 117 phytoplankton species were recorded in the Parangipettai coast,viz,Bacillariophyceae(66);Dinophyceae(22);Cyanophyceae(19);Chlorophyceae(7) and Chrysophyceae(3).The phytoplankton cell abundance in the Parangipettai and Coleroon coastal waters varied from 290 to 111662 and 140 to 132 757 cells L-1,respectively,with peak diversity(3.38 and 3.52 bits ind-1.) recorded in *** maximum abundance occurred in summer coinciding with the stable hydrographical *** seasonal distribution and abundance of phytoplankton are discussed in relation to hydrographical *** 31 and 24 species of phytoplankton were found to be bloom-forming in the Parangipettai and Coleroon coastal waters,*** Trichodesmium bloom was also obser

关键词：沿海水域植物种类东南沿海印度晶状体上皮细胞浮游植物物理化学条件亚硝酸盐

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