Estimation of cloud base height for FY-4A satellite based on random forest algorithm

被引：7
|
作者：
Tan Zhong-Hui [1 ]
Ma Shuo [1 ]
Han Ding [2 ]
Gao Ding [1 ]
Yan Wei [1 ]
机构：
[1] Natl Univ Def Technolo, Coll Meteorol & Oceanog, Nanjing 210000, Jiangsu, Peoples R China
[2] PLA 96901, Beijing 100000, Peoples R China
来源：
JOURNAL OF INFRARED AND MILLIMETER WAVES | 2019年 / 38卷 / 03期
基金：
中国国家自然科学基金;
关键词：
satellite remote sensing; cloud base height; Random Forest; FY-4A; OCCULTATION;
D O I：
10.11972/j.issn.1001-9014.2019.03.020
中图分类号：
O43 [光学];
学科分类号：
070207 ; 0803 ;
摘要：
Based on upstream products of FY-4A and A-Train satellites data during August and October, 2017, an estimation algorithm of cloud base height for FY-4A has been presented utilizing Random Forest model. The algorithm is evaluated in the comparison with CloudSat and CALIPSO. The results show that cloud base height for top layer cloud can be generated by using upstream products of FY-4A. Compared with CloudSat and CALIPSO, the mean absolute error is less than 1km and the relationship coefficient is bigger than 0.8. The presence of multi-layer clouds may result in underestimate of cloud base height.
引用
收藏
页码：381 / 388
页数：8
相关论文
共 23 条
  • [1] HAND-HELD SPECTROMETRY FOR ESTIMATING THRIPS (FULMEKIOLA SERRATA) INCIDENCE IN SUGARCANE
    Abdel-Rahman, Elfatih M.
    van den Berg, Maurits
    Way, Mike J.
    Ahmed, Fethi B.
    [J]. 2009 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS 1-5, 2009, : 2648 - +
  • [2] Random forests
    Breiman, L
    [J]. MACHINE LEARNING, 2001, 45 (01) : 5 - 32
  • [3] Soil organic carbon concentrations and stocks on Barro Colorado Island -: Digital soil mapping using Random Forests analysis
    Grimm, R.
    Behrens, T.
    Maerker, M.
    Elsenbeer, H.
    [J]. GEODERMA, 2008, 146 (1-2) : 102 - 113
  • [4] Gazing at Cirrus Clouds for 25 Years through a Split Window. Part I: Methodology
    Heidinger, Andrew K.
    Pavolonis, Michael J.
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2009, 48 (06) : 1100 - 1116
  • [5] Global Moderate Resolution Imaging Spectroradiometer (MODIS) cloud detection and height evaluation using CALIOP
    Holz, R. E.
    Ackerman, S. A.
    Nagle, F. W.
    Frey, R.
    Dutcher, S.
    Kuehn, R. E.
    Vaughan, M. A.
    Baum, B.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2008, 113
  • [6] Cloud base heights retrieved during night-time conditions with MODIS data
    Hutchison, Keith
    Wong, Eric
    Ou, S. C.
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 2006, 27 (14) : 2847 - 2862
  • [7] A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa
    Ismail, R.
    Mutanga, O.
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2010, 12 : S45 - S51
  • [8] MODIS global cloud-top pressure and amount estimation: Algorithm description and results
    Menzel, W. Paul
    Frey, Richard A.
    Zhang, Hong
    Wylie, Donald P.
    Moeller, Chris C.
    Holz, Robert E.
    Maddux, Brent
    Baum, Bryan A.
    Strabala, Kathy I.
    Gumley, Liam E.
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2008, 47 (04) : 1175 - 1198
  • [9] Estimating Three-Dimensional Cloud Structure via Statistically Blended Satellite Observations
    Miller, Steven D.
    Forsythe, John M.
    Partain, Philip T.
    Haynes, John M.
    Bankert, Richard L.
    Sengupta, Manajit
    Mitrescu, Cristian
    Hawkins, Jeffrey D.
    Vonder Haar, Thomas H.
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2014, 53 (02) : 437 - 455
  • [10] High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
    Mutanga, Onisimo
    Adam, Elhadi
    Cho, Moses Azong
    [J]. INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2012, 18 : 399 - 406
123