Estimation of water vapor content in near-infrared bands around 1 mu m from MODIS data by using RM-NN

doi:10.1364/OE.18.009542

	Estimation of water vapor content in near-infrared bands around 1 mu m from MODIS data by using RM-NN
	Mao, K. B.1,2,3,4,5; Li, H. T.6; Hu, D. Y.7; Wang, J.8; Huang, J. X.9; Li, Z. L.10; Zhou, Q. B.1,2,3; Tang, H. J.1,2,3
刊名	OPTICS EXPRESS
	2010
卷号	18 期号:9 页码:9542-9554
ISSN号	1094-4087
DOI	10.1364/OE.18.009542
通讯作者	Mao, K. B.
英文摘要	An algorithm based on the radiance transfer model (RM) and a dynamic learning neural network (NN) for estimating water vapor content from moderate resolution imaging spectrometer (MODIS) 1B data is developed in this paper. The MODTRAN4 is used to simulate the sun-surface-sensor process with different conditions. The dynamic learning neural network is used to estimate water vapor content. Analysis of the simulation data indicates that the mean and standard deviation of estimation error are under 0.06 gcm(-2) and 0.08 gcm(-2). The comparison analysis indicates that the estimation result by RM-NN is comparable to that of a MODIS water vapor content product (MYD05_L2). Finally, validation with ground measurement data shows that RM-NN can be used to accurately estimate the water vapor content from MODIS 1B data, and the mean and standard deviation of the estimation error are about 0.12 gcm(-2) and 0.18 gcm(-2). (C) 2010 Optical Society of America
学科主题	Optics ; OPTICS
语种	英语
出版者	OPTICAL SOC AMER
WOS记录号	WOS:000277082200085
内容类型	期刊论文
源URL	[http://111.203.20.206/handle/2HMLN22E/19950]
专题	农业环境与可持续发展研究所
作者单位	1.Chinese Acad Agr Sci, Key Lab Dryland Farming & Water Saving Agr, MOA, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 2.Chinese Acad Agr Sci, Key Lab Resources Remote Sensing & Digital Agr, MOA, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 3.Chinese Acad Agr Sci, Hulunber Grassland Ecosyst Observat & Res Stn, Inst Agr Resources & Reg Planning, Beijing 100081, Peoples R China 4.Chinese Acad Sci & Beijing Normal Univ, Inst Remote Sensing Applicat, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China 5.Chinese Acad Agr Sci, Inst Environm & Sustainable Dev Agr, Beijing 100081, Peoples R China 6.Univ Alberta, Dept Renewable Resources, Edmonton, AB T6G 2H1, Canada 7.Capital Normal Univ, Coll Resource Environm & Tourism, Beijing 100048, Peoples R China 8.Texas State Univ San Marcos, Dept Geog, San Marcos, TX 78666 USA 9.China Agr Univ, Coll Elect & Informat Engn, Beijing 100101, Peoples R China 10.Ecole Natl Super Phys Strasbourg, Lab Sci Image Informat & Teledetect, UMR 7005, Illkirch Graffenstaden, France
推荐引用方式 GB/T 7714	Mao, K. B.,Li, H. T.,Hu, D. Y.,et al. Estimation of water vapor content in near-infrared bands around 1 mu m from MODIS data by using RM-NN[J]. OPTICS EXPRESS,2010,18(9):9542-9554.
APA	Mao, K. B..,Li, H. T..,Hu, D. Y..,Wang, J..,Huang, J. X..,...&Tang, H. J..(2010).Estimation of water vapor content in near-infrared bands around 1 mu m from MODIS data by using RM-NN.OPTICS EXPRESS,18(9),9542-9554.
MLA	Mao, K. B.,et al."Estimation of water vapor content in near-infrared bands around 1 mu m from MODIS data by using RM-NN".OPTICS EXPRESS 18.9(2010):9542-9554.