Xu, H.[Hui],
Cheng, T.H.[Tian-Hai],
Gu, X.F.[Xing-Fa],
Yu, T.[Tao],
Wu, Y.[Yu],
Chen, H.[Hao],
New Asia Dust Storm Detection Method Based on the Thermal Infrared
Spectral Signature,
RS(7), No. 1, 2014, pp. 51-71.
DOI Link
1502
BibRef
Marcos, C.R.,
Pedros, R.,
Gomez-Amo, J.L.,
Utrillas, M.P.,
Martinez-Lozano, J.A.,
Analysis of Desert Dust Outbreaks Over Southern Europe Using CALIOP
Data and Ground-Based Measurements,
GeoRS(54), No. 2, February 2016, pp. 744-756.
IEEE DOI
1601
Aerosols
BibRef
Corradini, S.[Stefano],
Montopoli, M.[Mario],
Guerrieri, L.[Lorenzo],
Ricci, M.[Matteo],
Scollo, S.[Simona],
Merucci, L.[Luca],
Marzano, F.S.[Frank S.],
Pugnaghi, S.[Sergio],
Prestifilippo, M.[Michele],
Ventress, L.J.[Lucy J.],
Grainger, R.G.[Roy G.],
Carboni, E.[Elisa],
Vulpiani, G.[Gianfranco],
Coltelli, M.[Mauro],
A Multi-Sensor Approach for Volcanic Ash Cloud Retrieval and Eruption
Characterization: The 23 November 2013 Etna Lava Fountain,
RS(8), No. 1, 2016, pp. 58.
DOI Link
1602
BibRef
Sugimoto, N.[Nobuo],
Nishizawa, T.[Tomoaki],
Shimizu, A.[Atsushi],
Matsui, I.[Ichiro],
Jin, Y.[Yoshitaka],
Higurashi, A.[Akiko],
Uno, I.[Itsushi],
Hara, Y.[Yukari],
Yumimoto, K.[Keiya],
Kudo, R.[Rei],
Continuous observations of atmospheric aerosols across East Asia,
SPIE(Newsroom), October 21, 2015
DOI Link
1602
The Asian Dust and Aerosol Lidar Observation Network has 20 stations
equipped with several polarization-sensitive lidar instruments.
BibRef
Maes, K.[Kwinten],
Vandenbussche, S.[Sophie],
Klüser, L.[Lars],
Kumps, N.[Nicolas],
de Mazičre, M.[Martine],
Vertical Profiling of Volcanic Ash from the 2011 Puyehue Cordón
Caulle Eruption Using IASI,
RS(8), No. 2, 2016, pp. 103.
DOI Link
1603
BibRef
Merucci, L.[Luca],
Zakek, K.[Klemen],
Carboni, E.[Elisa],
Corradini, S.[Stefano],
Stereoscopic Estimation of Volcanic Ash Cloud-Top Height from Two
Geostationary Satellites,
RS(8), No. 3, 2016, pp. 206.
DOI Link
1604
BibRef
Fang, L.[Li],
Wang, S.P.[Shu-Peng],
Yu, T.[Tao],
Gu, X.F.[Xing-Fa],
Zhang, X.Y.[Xing-Ying],
Wang, W.[Weihe],
Ren, S.[Suling],
Changes in Aerosol Optical and Micro-Physical Properties over
Northeast Asia from a Severe Dust Storm in April 2014,
RS(8), No. 5, 2016, pp. 394.
DOI Link
1606
BibRef
Di, A.[Aojie],
Xue, Y.[Yong],
Yang, X.[Xihua],
Leys, J.[John],
Guang, J.[Jie],
Mei, L.[Linlu],
Wang, J.L.[Jing-Li],
She, L.[Lu],
Hu, Y.C.[Yin-Cui],
He, X.W.[Xing-Wei],
Che, Y.H.[Ya-Hui],
Fan, C.[Cheng],
Dust Aerosol Optical Depth Retrieval and Dust Storm Detection for
Xinjiang Region Using Indian National Satellite Observations,
RS(8), No. 9, 2016, pp. 702.
DOI Link
1610
BibRef
Jung, J.,
Kim, D.j.,
Lavalle, M.,
Yun, S.H.,
Coherent Change Detection Using InSAR Temporal Decorrelation Model:
A Case Study for Volcanic Ash Detection,
GeoRS(54), No. 10, October 2016, pp. 5765-5775.
IEEE DOI
1610
ash
BibRef
Marzano, F.S.,
Picciotti, E.,
di Fabio, S.,
Montopoli, M.,
Mereu, L.,
Degruyter, W.,
Bonadonna, C.,
Ripepe, M.,
Near-Real-Time Detection of Tephra Eruption Onset and Mass Flow Rate
Using Microwave Weather Radar and Infrasonic Arrays,
GeoRS(54), No. 11, November 2016, pp. 6292-6306.
IEEE DOI
1610
Clouds
BibRef
Shiina, T.[Tatsuo],
Yamada, S.[Sonoko],
Senshu, H.[Hiroki],
Otobe, N.[Naohito],
Hashimoto, G.[George],
Kawabata, Y.[Yasuhiro],
LED-powered mini-lidar for martian atmospheric dust studies,
SPIE(Newsroom), October 28, 2016
DOI Link
1611
A 10cm3, physically robust instrument has been tested in wind-tunnel
experiments, and is suitable for diffusion and convection studies.
BibRef
Pering, T.D.[Tom D.],
McGonigle, A.J.S.[Andrew J. S.],
Tamburello, G.[Giancarlo],
Aiuppa, A.[Alessandro],
Bitetto, M.[Marcello],
Rubino, C.[Cosimo],
Wilkes, T.C.[Thomas C.],
A Novel and Inexpensive Method for Measuring Volcanic Plume Water
Fluxes at High Temporal Resolution,
RS(9), No. 2, 2017, pp. xx-yy.
DOI Link
1703
Comment on:
See also Difficulty of Measuring the Absorption of Scattered Sunlight by H2O and CO2 in Volcanic Plumes: A Comment on Pering et al. A Novel and Inexpensive Method for Measuring Volcanic Plume Water Fluxes at High Temporal Resolution, The.
BibRef
And:
Reply to comments:
RS(9), No. 10, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Wang, C.L.[Chun-Lei],
Tang, B.H.[Bo-Hui],
Wu, H.[Hua],
Tang, R.L.[Rong-Lin],
Li, Z.L.[Zhao-Liang],
Estimation of Downwelling Surface Longwave Radiation under Heavy Dust
Aerosol Sky,
RS(9), No. 3, 2017, pp. xx-yy.
DOI Link
1704
BibRef
Bryan, S.,
Clarke, A.,
Vanderkluysen, L.,
Groppi, C.,
Paine, S.,
Bliss, D.W.,
Aberle, J.,
Mauskopf, P.,
Measuring Water Vapor and Ash in Volcanic Eruptions With a
Millimeter-Wave Radar/Imager,
GeoRS(55), No. 6, June 2017, pp. 3177-3185.
IEEE DOI
1706
Atmospheric measurements, Geophysical measurements,
Millimeter wave measurements, Millimeter wave technology,
Particle measurements, Radiometers, Temperature measurement,
Millimeter wave radar, radiometry, volcanic ash
BibRef
Kern, C.[Christoph],
The Difficulty of Measuring the Absorption of Scattered Sunlight by
H2O and CO2 in Volcanic Plumes: A Comment on Pering et al. 'A Novel
and Inexpensive Method for Measuring Volcanic Plume Water Fluxes at
High Temporal Resolution',
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
See also Novel and Inexpensive Method for Measuring Volcanic Plume Water Fluxes at High Temporal Resolution, A.
BibRef
Marchese, F.[Francesco],
Sannazzaro, F.[Filomena],
Falconieri, A.[Alfredo],
Filizzola, C.[Carolina],
Pergola, N.[Nicola],
Tramutoli, V.[Valerio],
An Enhanced Satellite-Based Algorithm for Detecting and Tracking Dust
Outbreaks by Means of SEVIRI Data,
RS(9), No. 6, 2017, pp. xx-yy.
DOI Link
1706
BibRef
Tochon, G.,
Chanussot, J.,
Dalla Mura, M.,
Bertozzi, A.L.,
Object Tracking by Hierarchical Decomposition of Hyperspectral Video
Sequences: Application to Chemical Gas Plume Tracking,
GeoRS(55), No. 8, August 2017, pp. 4567-4585.
IEEE DOI
1708
Chemicals, Hyperspectral imaging, Object detection,
Object tracking, Shape, Video sequences, Binary partition tree,
gas plume tracking, hyperspectral video sequence, object, detection
BibRef
Leng, X.G.[Xiang-Guang],
Ji, K.F.[Ke-Feng],
Zhou, S.L.[Shi-Lin],
Zou, H.X.[Huan-Xin],
Azimuth Ambiguities Removal in Littoral Zones Based on Multi-Temporal
SAR Images,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Xie, Y.[Yong],
Zhang, W.H.[Wen-Hao],
Qu, J.J.[John J.],
Detection of Asian Dust Storm Using MODIS Measurements,
RS(9), No. 8, 2017, pp. xx-yy.
DOI Link
1708
BibRef
Mishra, M.K.,
Gupta, A.K.,
Rajeev, K.,
Spaceborne Observations of the Diurnal Variation of Shortwave Aerosol
Direct Radiative Effect at Top of Atmosphere Over the Dust-Dominated
Arabian Sea and the Atlantic Ocean,
GeoRS(55), No. 11, November 2017, pp. 6610-6616.
IEEE DOI
1711
Aerosols, Clouds, Minerals, Oceans, Satellites, Sea measurements,
Wavelength measurement, Aerosols, solar, radiation
BibRef
Gonzalez, L.[Louis],
Briottet, X.[Xavier],
North Africa and Saudi Arabia Day/Night Sandstorm Survey (NASCube),
RS(9), No. 9, 2017, pp. xx-yy.
DOI Link
1711
BibRef
Jackson, B.[Brian],
Lorenz, R.[Ralph],
Davis, K.[Karan],
Lipple, B.[Brock],
Using an Instrumented Drone to Probe Dust Devils on Oregon's Alvord
Desert,
RS(10), No. 1, 2018, pp. xx-yy.
DOI Link
1802
BibRef
She, L.[Lu],
Xue, Y.[Yong],
Yang, X.[Xihua],
Guang, J.[Jie],
Li, Y.[Ying],
Che, Y.H.[Ya-Hui],
Fan, C.[Cheng],
Xie, Y.Q.[Yan-Qing],
Dust Detection and Intensity Estimation Using Himawari-8/AHI
Observation,
RS(10), No. 4, 2018, pp. xx-yy.
DOI Link
1805
BibRef
Zheng, S.[Sheng],
Singh, R.P.[Ramesh P.],
Aerosol and Meteorological Parameters Associated with the Intense
Dust Event of 15 April 2015 over Beijing, China,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Marchese, F.[Francesco],
Falconieri, A.[Alfredo],
Pergola, N.[Nicola],
Tramutoli, V.[Valerio],
Monitoring the Agung (Indonesia) Ash Plume of November 2017 by Means
of Infrared Himawari 8 Data,
RS(10), No. 6, 2018, pp. xx-yy.
DOI Link
1806
BibRef
Huang, Z.W.[Zhong-Wei],
Nee, J.B.[Jan-Bai],
Chiang, C.W.[Chih-Wei],
Zhang, S.[Shuang],
Jin, H.C.[Hong-Chun],
Wang, W.C.[Wen-Cai],
Zhou, T.[Tian],
Real-Time Observations of Dust-Cloud Interactions Based on
Polarization and Raman Lidar Measurements,
RS(10), No. 7, 2018, pp. xx-yy.
DOI Link
1808
BibRef
Plank, S.[Simon],
Nolde, M.[Michael],
Richter, R.[Rudolf],
Fischer, C.[Christian],
Martinis, S.[Sandro],
Riedlinger, T.[Torsten],
Schoepfer, E.[Elisabeth],
Klein, D.[Doris],
Monitoring of the 2015 Villarrica Volcano Eruption by Means of DLR's
Experimental TET-1 Satellite,
RS(10), No. 9, 2018, pp. xx-yy.
DOI Link
1810
BibRef
Mereu, L.,
Scollo, S.,
Mori, S.,
Boselli, A.,
Leto, G.,
Marzano, F.S.,
Maximum-Likelihood Retrieval of Volcanic Ash Concentration and
Particle Size From Ground-Based Scanning Lidar,
GeoRS(56), No. 10, October 2018, pp. 5824-5842.
IEEE DOI
1810
Laser radar, Volcanic ash, Backscatter, Aerosols, Explosives,
Atmospheric measurements, Shape, Ash mean size,
volcanic ash concentration
BibRef
Bredemeyer, S.[Stefan],
Ulmer, F.G.[Franz-Georg],
Hansteen, T.H.[Thor H.],
Walter, T.R.[Thomas R.],
Radar Path Delay Effects in Volcanic Gas Plumes:
The Case of Láscar Volcano, Northern Chile,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Tsarpalis, K.[Konstantinos],
Papadopoulos, A.[Anastasios],
Mihalopoulos, N.[Nikolaos],
Spyrou, C.[Christos],
Michaelides, S.[Silas],
Katsafados, P.[Petros],
The Implementation of a Mineral Dust Wet Deposition Scheme in the
GOCART-AFWA Module of the WRF Model,
RS(10), No. 10, 2018, pp. xx-yy.
DOI Link
1811
BibRef
Lee, K.H.,
Lee, K.T.,
Volcanic Ash Retrieval Using a New Geostationary Satellite,
IWIDF15(67-74).
DOI Link
1508
BibRef
Liu, F.,
Li, C.F.,
Yin, J.Y.,
Volcanic ash cloud extraction for RS image by combining PCA, ICA and
SVM methods,
Southwest16(153-156)
IEEE DOI
1605
Clouds
BibRef
Wang, J.[Jian],
Pang, Y.W.[Yan-Wei],
He, Y.Q.[Yu-Qing],
Liu, C.S.[Chang-Shu],
Enhancement for Dust-Sand Storm Images,
MMMod16(I: 842-849).
Springer DOI
1601
BibRef
Maeda, K.[Keisuke],
Ogawa, T.[Takahiro],
Haseyama, M.[Miki],
Automatic martian dust storm detection via decision level fusion
basedondeep extreme learning machine,
ICIP17(435-439)
IEEE DOI
1803
BibRef
Earlier:
Automatic detection of martian dust storms from heterogeneous data
based on decision level fusion,
ICIP15(2246-2250)
IEEE DOI
1512
Feature extraction, Kernel, Mars, Monitoring, Satellites, Storms,
Training, Mars, decision level fusion.
Mars; decision level fusion; detection; dust storm; heterogeneous data
BibRef
Xiao, F.,
Shea, G.Y.K.,
Wong, M.S.,
Campbell, J.,
An automated and integrated framework for dust storm detection based on
OGC web processing services,
Geospatial14(151-156).
DOI Link
1411
BibRef
Okuda, W.,
Kusaka, T.,
The Visualization Method of the 3D Concentration Distribution of Asian
Dust in the Google Earth,
ISPRS12(XXXIX-B4:331-334).
DOI Link
1209
BibRef
Rivas-Perea, P.,
Rosiles, J.G.,
Chacon, M.I.M.,
Traditional and neural probabilistic multispectral image processing for
the dust aerosol detection problem,
Southwest10(169-172).
IEEE DOI
1005
BibRef
Chapter on Remote Sensing, Cartography, Aerial Images, Buildings, Roads, Terrain, ATR continues in
Ionosphere, Ionosphere Tomography, Reflections, Ionospheric Effects .