遥感技术与应用 2016, Vol. 31 Issue (5): 886-892 DOI: 10.11873/j.issn.1004-0323.2016.5.0886 |
模型与反演 |
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基于亮温—植被指数—气溶胶光学厚度的MODIS火点监测算法研究 |
张婕1,2,张文煜1,冯建东3,王宏义2,于泽2,宋玮2 |
(1.兰州大学大气科学学院,甘肃省干旱气候变化与减灾重点实验室,甘肃 兰州 730000;
2.成都信息工程大学大气科学学院,高原大气与环境四川省重点实验室,四川 成都 610225;
3.四川省农业气象中心,四川 成都 610072) |
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An Improved Algorithm for Forest Fire Detection:A Study based on Brightness Temperature,Vegetation Index and AOD |
Zhang Jie1,2,Zhang Wenyu1 ,Feng Jiandong3,Yu Ze2,Wang Hongyi2,Song Wei2
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(1.Key Laboratory of Arid Climatic Change and Reducing Disaster of Gansu Province,College of
Atmospheric Sciences,Lanzhou University,Lanzhou 730000,China;
2.College of Atmospheric Sciences,Chengdu University of Information Technology,
Plateau Atmosphere and Environment Key Laboratory of Sichuan Province,Chengdu 610225,China;
3.Agricultural Meteorological Center of Sichuan Province,Chengdu 610072,China) |
引用本文:
张婕,张文煜,冯建东,王宏义,于泽,宋玮. 基于亮温—植被指数—气溶胶光学厚度的MODIS火点监测算法研究[J]. 遥感技术与应用, 2016, 31(5): 886-892.
Zhang Jie,Zhang Wenyu,Feng Jiandong,Yu Ze,Wang Hongyi,Song Wei. An Improved Algorithm for Forest Fire Detection:A Study based on Brightness Temperature,Vegetation Index and AOD. Remote Sensing Technology and Application, 2016, 31(5): 886-892.
链接本文:
http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2016.5.0886
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http://www.rsta.ac.cn/CN/Y2016/V31/I5/886
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