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REMOTE SENSING FOR LAND & RESOURCES    2013, Vol. 25 Issue (2) : 121-130     DOI: 10.6046/gtzyyg.2013.02.21
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Analysis on spectral characteristics of dust polluted crops in Wansheng coal mineing district
TAN Dejun1,3, XIE Jutian2, JIAN Ji2, XIE Hongbin1,3, LUO Zhenfu1,3, HU Yunhai2
1. Chongqing Key Laboratory of Exogenic Mineralization and Mine Environment, Institute of Geology and Mineral Resources, Chongqing 400042, China;
2. Key Laboratory of Geoscience Spatial Information Technology, Ministry of Land and Resources, Chengdu University of Technology, Chengdu 610059, China;
3. Chongqing Research Center of State Key Laboratory of Coal Resources and Safe Mining, Chongqing 400042, China
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Abstract  Regional dust pollution,resulting from airborne transmission of dust formed by coal mining,endangers the health of the surrounding residents. Therefore, the development of the methods for dust monitoring and controlling is extremely important. In this study, Wansheng, located in the southeast of Chongqing City,was selected as the study area,and ASD Field Pro Ⅲ spectrometer was employed for spectrum collection. A comparative analysis of spectral data was carried out on the basis of the anomalies of the vegetation overall spectral reflectance and small absorption peaks at the wavelength of 1 000 nm and 1 200 nm,and then a relative level of dust pollution was retrieved. The results show that the dust pollution in the southern part of the Nantong coal mine and the southwestern part of the Yanshitai coal mine in Wansheng district is the most serious. The crops impacted by dust mainly include leaf beet,cabbages and Chinese mallow. The results obtained by the authors provide fundamental basis for further researches on dust pollution based on quantitative remote sensing.
Keywords spatial database      multi-source spatial data management      geological information metadata standard      single machine multiple SDE      data service      ArcGIS     
:  TP79  
Issue Date: 28 April 2013
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DIAO Mingguang,XUE Tao,LI Jiancun, et al. Analysis on spectral characteristics of dust polluted crops in Wansheng coal mineing district[J]. REMOTE SENSING FOR LAND & RESOURCES, 2013, 25(2): 121-130.
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https://www.gtzyyg.com/EN/10.6046/gtzyyg.2013.02.21     OR     https://www.gtzyyg.com/EN/Y2013/V25/I2/121
[1] 吕乃璧.矿山污染标准[J].矿业工程,1993(3):74-76. Lyu N B.Mining pollution standards[J].Mining Engineering,1993(3):74-76.
[2] 赵永超,承继成,陈正超,等.地物波谱中的不确定性问题——关于"同物异谱"和"异物同谱"的认识[J].遥感学报,2003,7(增刊):80-90. Zhao Y C,Cheng J C,Chen Z C,et al.Discussion on the spectral uncertainty of terrestrial objects[J].Journal of Remote Sensing,2003,7(s1):80-90.
[3] 程高峰,李秉柏,李萍萍.作物红边位置算法评述[J].江苏农业科学,2009(2):12-14. Cheng G F,Li B B,Li P P.Comment on the red edge algorithm of crops[J].Jiangsu Agricultural Sciences,2009(2):12-14.
[4] Andersona J E,Plourdea L C,Martin M E,et al.Integrating waveform LiDAR with hyperspectral imagery for inventory of a northern temperate forest[J].Remote Sensing of Environment,2008,112(4):1856-1870.
[5] Roberts D A,Gardner M,Church R,et al.Mapping chaparral in the Santa Monica mountains using multiple endmember spectral mixture models[J].Remote Sensing of Environment,1998,65(3):267-279.
[6] 万余庆,谭克龙,周日平.高光谱遥感应用研究[M].北京:科学出版社,2006. Wan Y Q,Tan K L,Zhou R P.Applied research on hyperspectral remote sensing[M].Beijing:Science Press,2006.
[7] Pascucci S,Belviso C,Cavalli R M,et al.Using imaging spectroscopy to map red mud dust waste:The Podgorica Aluminum Complex case study[J].Remote Sensing of Environment,2010,123:139-154.
[8] 童庆禧,张兵,郑兰芬.高光谱遥感——原理、技术与应用[M].北京:高等教育出版社,2006. Tong Q X,Zhang B,Zhen L F.Hyperspectral remote sensing[M].Beijing:Higher Education Press,2006.
[9] 张宗贵,王润生,郭小方,等.基于地物光谱特征的成像光谱遥感矿物识别方法[J].地学前缘,2003,10(2):437-443. Zhang Z G,Wang R S,Guo X F,et al.Mineral recognition method by spectrometry remote sensing based on material spectral characteristics[J].Earth Science Frontiers,2003,10(2):437-443.
[10] 梅安新,彭望琭,秦其明,等.遥感导论[M].北京:高等教育出版社,2001. Mei A X,Peng W L,Qin Q M,et al.An introduction to remote sensing[M].Beijing:Higher Education Press,2001.
[11] 陈水森,方立刚,柳钦火,等.广东省特色农作物标准波谱数据库框架设计与示范应用[J].国土资源遥感,2005,17(3):74-78. Chen S S,Fang L G,Liu Q H,et al.The frame design and application demonstration of the standardized spectral library for featured crops in Guangdong province[J].Remote Sensing for Land and Resources,2005,17(3):74-78.
[12] 刘英,王珂,周斌,等.千岛湖水体叶绿素浓度高光谱遥感监测研究初报[J].浙江大学学报,2003,29(6):621-626. Liu Y,Wang K,Zhou B,et al.Preliminary study on hyperspectral remote sensing of Qiandao Lake chlorphyll-a concentration[J].Journal of Zhejiang University:Agric & Life Science,2003,29(6):621-626.
[13] 田庆久,王世新,王乐意,等.典型地物标准波谱数据库设计[J].遥感技术与应用,2003,18(4):187-190. Tian Q J,Wang S X,Wang L Y,et al.Remote sensing standardized spectral database system design[J].Remote Sensing Technology and Application,2003,18(4):187-190.
[14] 谭昌伟,郭文善,朱新开,等.不同条件下夏玉米冠层反射光谱响应特性的研究[J].农业工程学报,2008,24(9):131-135. Tan C W,Guo W S,Zhu X K,et al.Canopy spectral reflectance characteristics of summer maize under different conditions[J].Transactions of Chinese Society of Agricultural Engineering,2008,24(9):131-135.
[15] 王晓慧,李增元,高志海,等.沙化土地光谱特征初步分析[J].遥感信息,2005(5):32-35. Wang X H,Li Z Y,Gao Z H,et al.The preliminary analysis on spectral property of sandy land[J].Remote Sensing Information,2005(5):32-35.
[16] 邓书斌,陈秋锦.植被波谱特征与植被指数综述[C]//中国遥感应用协会2010年会暨区域遥感发展与产业高层论坛论文文集.北京,2010:1-10. Deng S B,Chen Q J.Spectral characteristics of vegetation and vegetation index summary[C]//Proceedings of China Association of Remote Sensing Application 2010 and Regional Remote Sensing Development and Industry Forum.Beijing,2010:1-10.
[17] 甘甫平,刘圣伟,周强,等.德兴铜矿矿山污染高光谱遥感直接识别研究[J].地球科学:中国地质大学学报,2004,29(1):119-126. Gan F P,Liu S W,Zhou Q,et al.Identification of mining pollution using hyperion data at Dexing copper mine in Jiangxi province,China[J].Earth Science:Journal of China University of Geosciences,2004,29(1),119-126.
[18] 童庆禧,张兵,郑兰芬.高光谱遥感的多学科应用[M].北京:电子工业出版社,2006. Tong Q X,Zhang B,Zheng L F.Hyperspectral remote sensing and its multidisciplinary applications[M].Beijing:Publishing House of Electronics Industry,2006.
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