THIN ICE AREA EXTRACTION IN THE SEA OF OKHOTSK FROM GCOM-W1/AMSR2 DATA

被引：2
|
作者：
Cho, K. [1 ]
Sato, Y. [1 ]
Naoki, K. [1 ]
机构：
[1] Tokai Univ, Res & Informat Ctr, Shibuya Ku, 2-28-4 Tomigaya, Tokyo, Japan
来源：
XXIII ISPRS CONGRESS, COMMISSION VIII | 2016年 / 41卷 / B8期
关键词：
Sea Ice; Passive Microwave Radiometer; Ice Thickness;
D O I：
10.5194/isprsarchives-XLI-B8-463-2016
中图分类号：
P9 [自然地理学];
学科分类号：
0705 ; 070501 ;
摘要：
Passive microwave radiometers on-board satellites can penetrate clouds and can monitor the global sea ice distribution on daily basis. The authors have developed an algorithm to extract thin ice area in the Sea of Okhotsk from the passive microwave sensor AMSR2 on-board GCOM-W1 satellite. The algorithm uses the brightness temperature scatter plots of AMSR2 19GHz polarization difference(V-H) vs 19GHz V polarization. The results were verified using simultaneously collected MODIS images in the Sea of Okhotsk. The most of the thin ice areas visually identified in the MODIS images were automatically extracted from AMSR2 data using the algorithm.
引用
收藏
页码：463 / 468
页数：6
相关论文
共 15 条
  • [1] Variational Bayes and the Principal Component Analysis Coupled With Bayesian Regulation Backpropagation Network to Retrieve Total Precipitable Water (TPW) From GCOM-W1/AMSR2
    Islam, Tanvir
    Srivastava, Prashant K.
    Petropoulos, George P.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2015, 8 (10) : 4819 - 4824
  • [2] Operational Implementation of Sea Ice Concentration Estimates From the AMSR2 Sensor
    Meier, Walter N.
    Stewart, J. Scott
    Liu, Yinghui
    Key, Jeffrey
    Miller, Jeffrey A.
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (09) : 3904 - 3911
  • [3] Estimation of Atmospheric Microwave Radiation Parameters Over the Arctic Sea Ice From the AMSR2 Data
    Zabolotskikh, Elizaveta V.
    Chapron, Bertrand
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2024, 62 : 1 - 11
  • [4] Intercalibration of AMSR2 NASA Team 2 Algorithm Sea Ice Concentrations With AMSR-E Slow Rotation Data
    Meier, Walter N.
    Ivanoff, Alvro
    IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING, 2017, 10 (09) : 3923 - 3933
  • [5] A NEW WEATHER FILTER FOR REDUCING WEATHER EFFECT IN CALCULATING SEA ICE CONCENTRATION FROM AMSR2 DATA
    Cho, K.
    Naoki, K.
    GEOSPATIAL WEEK 2023, VOL. 10-1, 2023, : 793 - 798
  • [6] Sea surface wind and Sea ice in the Barents Sea using microwave sensing data from Meteor-M N1 and GCOM-W1 satellites in January–March 2013
    L. M. Mitnik
    M. L. Mitnik
    G. M. Chernyavsky
    I. V. Cherny
    A. V. Vykochko
    M. K. Pichugin
    E. V. Zabolotskikh
    Izvestiya, Atmospheric and Oceanic Physics, 2016, 52 : 1041 - 1050
  • [7] Sea surface wind and Sea ice in the Barents Sea using microwave sensing data from Meteor-M N1 and GCOM-W1 satellites in January-March 2013
    Mitnik, L. M.
    Mitnik, M. L.
    Chernyavsky, G. M.
    Cherny, I. V.
    Vykochko, A. V.
    Pichugin, M. K.
    Zabolotskikh, E. V.
    IZVESTIYA ATMOSPHERIC AND OCEANIC PHYSICS, 2016, 52 (09) : 1041 - 1050
  • [8] Baltic Sea Ice Concentration Estimation Using SENTINEL-1 SAR and AMSR2 Microwave Radiometer Data
    Karvonen, Juha
    IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (05): : 2871 - 2883
  • [9] Resolution enhanced sea ice concentration: a new algorithm applied to AMSR2 microwave radiometry data
    Rusin, Jozef
    Lavergne, Thomas
    Doulgeris, Anthony P.
    Scott, K. Andrea
    ANNALS OF GLACIOLOGY, 2024, 65
  • [10] Arctic Thin Ice Detection Using AMSR2 and FY-3C MWRI Radiometer Data
    Makynen, Marko
    Simila, Markku
    REMOTE SENSING, 2024, 16 (09)
12