STATISTICAL DOWNSCALING OF REMOTELY-SENSED SOIL MOISTURE

被引：0
|
作者：
Alemohammad, S. H. [1 ]
Kolassa, J. [2 ]
Prigent, C. [1 ,3 ]
Aires, F. [1 ,3 ]
Gentine, P. [1 ]
机构：
[1] Columbia Univ, Dept Earth & Environm Engn, New York, NY 10027 USA
[2] NASA, Goddard Space Flight Ctr, Global Modeling & Assimilat Off, Greenbelt, MD USA
[3] Observ Paris, Paris, France
来源：
2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS) | 2017年
关键词：
Terms Soil Moisture; Downscaling; Artificial Neural Networks; SMAP; RETRIEVAL; MICROWAVE; SCALE;
D O I：
暂无
中图分类号：
P [天文学、地球科学];
学科分类号：
07 ;
摘要：
Global soil moisture estimates at fine spatial resolutions is necessary for many applications. However, current space borne instruments have coarse resolution. In this study, we develop a new Artificial Neural Network (ANN) based disaggregation algorithm to downscale soil moisture observations from Soil Moisture Active Passive (SMAP) mission to a fine resolution of similar to 2km using ancillary data from visible/infrared frequencies. We use soil moisture estimates from SMAP at two different spatial resolutions to train the downscaling algorithm. Results show that ANN can successfully capture the complex relationship between the soil moisture estimates at two different spatial resolutions using the ancillary data provided.
引用
收藏
页码：2511 / 2514
页数：4
相关论文
共 50 条
  • [1] A review of spatial downscaling of satellite remotely sensed soil moisture
    Peng, Jian
    Loew, Alexander
    Merlin, Olivier
    Verhoest, Niko E. C.
    [J]. REVIEWS OF GEOPHYSICS, 2017, 55 (02) : 341 - 366
  • [2] Global downscaling of remotely sensed soil moisture using neural networks
    Alemohammad, Seyed Hamed
    Kolassa, Jana
    Prigent, Catherine
    Aires, Filipe
    Gentine, Pierre
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2018, 22 (10) : 5341 - 5356
  • [3] Statistical characterization of remotely sensed soil moisture images
    Hu, ZL
    Islam, S
    Cheng, YZ
    [J]. REMOTE SENSING OF ENVIRONMENT, 1997, 61 (02) : 310 - 318
  • [4] Improving Streamflow Prediction Using Remotely-Sensed Soil Moisture and Snow Depth
    Lu, Haishen
    Crow, Wade T.
    Zhu, Yonghua
    Ouyang, Fen
    Su, Jianbin
    [J]. REMOTE SENSING, 2016, 8 (06)
  • [5] Evaluating remotely-sensed surface soil moisture estimates using triple collocation
    Crow, Wade T.
    Cosh, Michael H.
    Miralles, Diego G.
    [J]. REMOTE SENSING AND HYDROLOGY, 2012, 352 : 29 - +
  • [6] Statistical and scaling properties of remotely-sensed soil moisture in two contrasting domains in the North American monsoon region
    Mascaro, Giuseppe
    Vivoni, Enrique R.
    [J]. JOURNAL OF ARID ENVIRONMENTS, 2010, 74 (05) : 572 - 578
  • [7] Microwave and Meteorological Fusion: A method of Spatial Downscaling of Remotely Sensed Soil Moisture
    Sun, Hao
    Cai, Chuangchuang
    Liu, Hongxing
    Yang, Bo
    [J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2019, 12 (04) : 1107 - 1119
  • [8] STATISTICAL RETRIEVAL OF SURFACE AND ROOT ZONE SOIL MOISTURE USING SYNERGY OF MULTI-FREQUENCY REMOTELY-SENSED OBSERVATIONS
    Alemohammad, S. H.
    Kolassa, J.
    Prigent, C.
    Aires, F.
    Gentine, P.
    [J]. 2017 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2017, : 4943 - 4946
  • [9] Hydraulic parameter estimation by remotely-sensed top soil moisture observations with the particle filter
    Montzka, Carsten
    Moradkhani, Hamid
    Weihermueller, Lutz
    Franssen, Harrie-Jan Hendricks
    Canty, Morton
    Vereecken, Harry
    [J]. JOURNAL OF HYDROLOGY, 2011, 399 (3-4) : 410 - 421
  • [10] An investigation of remotely-sensed soil depth in the optical region
    Liang, S
    [J]. INTERNATIONAL JOURNAL OF REMOTE SENSING, 1997, 18 (16) : 3395 - 3408
12345