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Journal articles on the topic 'SSMI'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Martinez-Fierro, Margarita L., Miguel A. Ramirez-Madrigal, Rosa Martha Covarrubias-Carrillo, et al. "Security and Violence Perception of Medical Interns during Social Service Practice in Mexico." International Journal of Environmental Research and Public Health 19, no. 1 (2021): 318. http://dx.doi.org/10.3390/ijerph19010318.

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The increase of insecurity levels in Mexico, as well as the fact that violence is a frequent experience among health personnel, motivated this study whose purpose was to evaluate the perception of security and violence that social service medical interns (SSMI) had on the institutions and localities where they carried out their social work and make visible the main types of violence to which they were exposed. This was a cross-sectional study, based on a perception survey self-administered to 157 SSMI from Zacatecas, in Mexico. A high proportion of the participants (75.8%) stated that they wer

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Cavalieri, Donald J., Claire L. Parkinson, Nicolo DiGirolamo, and Alvaro Ivanoff. "Intersensor Calibration Between F13 SSMI and F17 SSMIS for Global Sea Ice Data Records." IEEE Geoscience and Remote Sensing Letters 9, no. 2 (2012): 233–36. http://dx.doi.org/10.1109/lgrs.2011.2166754.

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Guan, Ji-Ping, Yan-Tong Yin, Li-Feng Zhang, Jing-Nan Wang, and Ming-Yang Zhang. "Comparison Analysis of Total Precipitable Water of Satellite-Borne Microwave Radiometer Retrievals and Island Radiosondes." Atmosphere 10, no. 7 (2019): 390. http://dx.doi.org/10.3390/atmos10070390.

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Total precipitable water (TPW) of satellite-borne microwave radiometer retrievals is compared with the data that were collected from 49 island radiosonde stations for the period 2007–2015. Great consistency was found between TPW measurements made by radiosonde and eight satellite-borne microwave radiometers, including SSMI-F13, SSMI-F14, SSMIS-F16, SSMIS-F17, AMSR-E, AMSR-2, GMI, and WindSat. Mean values of the TPW differences for eight satellites ranged from −0.51 to 0.38mm, both root mean square errors and standard deviations were around 3mm, and all of the correlation coefficients between s

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Gonzalez Cruz, Marangely, E. Annette Hernandez, and Venkatesh Uddameri. "Climatic Influences on Agricultural Drought Risks Using Semiparametric Kernel Density Estimation." Water 12, no. 10 (2020): 2813. http://dx.doi.org/10.3390/w12102813.

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A bivariate kernel density estimation (KDE) method was utilized to develop a stochastic framework to assess how agricultural droughts are related to unfavorable meteorological conditions. KDE allows direct estimation of the bivariate cumulative density function which can be used to extract the marginal distributions with minimal subjectivity. The approach provided excellent fits to bivariate relationships between the standardized soil moisture index (SSMI) computed at three- and six-month accumulations and standardized measures of precipitation (P), potential evapotranspiration (PET), and atmo

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5

Zuercher, Caroline. "La SSMI veut diminuer les examens inutiles." Revue Médicale Suisse 10, no. 431 (2014): 1158–59. http://dx.doi.org/10.53738/revmed.2014.10.431.1158_2.

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6

Vila, Daniel, Cecilia Hernandez, Ralph Ferraro, and Hilawe Semunegus. "The Performance of Hydrological Monthly Products Using SSM/I–SSMI/S Sensors." Journal of Hydrometeorology 14, no. 1 (2013): 266–74. http://dx.doi.org/10.1175/jhm-d-12-056.1.

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Abstract Global monthly rainfall estimates and other hydrological products have been produced from 1987 to the present using measurements from the Defense Meteorological Satellite Program (DMSP) series of the Special Sensor Microwave Imager (SSM/I). The aim of this paper is twofold: to present the recent efforts to improve the quality control (QC) of historical antenna temperature of the SSM/I sensor (1987–2008) and how this improvement impacts the different hydrological products that are generated at NOAA/National Environmental Satellite, Data, and Information Service (NESDIS). Beginning in 2

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Zhao, Xiaowei, Tianzeng Yang, Hongbo Zhang, et al. "GTDI: a game-theory-based integrated drought index implying hazard-causing and hazard-bearing impact change." Natural Hazards and Earth System Sciences 24, no. 10 (2024): 3479–95. http://dx.doi.org/10.5194/nhess-24-3479-2024.

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Abstract. Developing an effective and reliable integrated drought index is crucial for tracking and identifying droughts. The study employs game theory to create a spatially variable weight drought index (game-theory-based drought index, GTDI) by combining two single-type indices: an agricultural drought index (standardized soil moisture index, SSMI), which implies drought hazard-bearing conditions, and a meteorological drought index (standardized precipitation evapotranspiration index, SPEI), which implies drought hazard-causing conditions. In addition, the entropy-theory-based drought index

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Wang, Yunqian, Jing Yang, Yaning Chen, et al. "Monitoring and Predicting Drought Based on Multiple Indicators in an Arid Area, China." Remote Sensing 12, no. 14 (2020): 2298. http://dx.doi.org/10.3390/rs12142298.

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Droughts are one of the costliest natural disasters. Reliable drought monitoring and prediction are valuable for drought relief management. This study monitors and predicts droughts in Xinjiang, an arid area in China, based on the three drought indicators, i.e., the Standardized Precipitation Index (SPI), the Standardized Soil Moisture Index (SSMI) and the Multivariate Standardized Drought Index (MSDI). Results indicate that although these three indicators could capture severe historical drought events in the study area, the spatial coverage, persistence and severity of the droughts would vary

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Zhang, Zezhong, Hengzhi Guo, Kai Feng, Fei Wang, Weijie Zhang, and Jian Liu. "Analysis of Agricultural Drought Evolution Characteristics and Driving Factors in Inner Mongolia Inland River Basin Based on Three-Dimensional Recognition." Water 16, no. 3 (2024): 440. http://dx.doi.org/10.3390/w16030440.

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Agricultural drought events have become more frequent in the Inner Mongolia inland river basin in recent years, and the spatio-temporal evolution characteristics and development rules can be accurately and comprehensively understood using the three-dimensional identification method. In this paper, standardized soil moisture index (SSMI) was used to characterize agricultural drought, and modified Mann–Kendall trend test (MMK) and 3D recognition of drought events were used to analyze the spatio-temporal evolution characteristics of agricultural drought events in this basin and reveal the drought

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10

Zhou, Haiqing, and Richard Lambert. "Preface: 6th International Symposium on Social Science and Management Innovation (SSMI 2024)." Transactions on Social Science, Education and Humanities Research 9 (July 8, 2024): I. http://dx.doi.org/10.62051/ezk1w613.

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6th International Symposium on Social Science and Management Innovation (SSMI 2024) was held in Macao, China during June 8-9, 2024. This conference was sponsored by Research Center of Engineering and Science, and was attended by academicians, researchers, entrepreneurs, government agencies and policy-makers, postgraduates from China and all over the world. The aim of the conference is to provide an interactive platform for the academicians, R & D organizations, industries, innovators, entrepreneurs, government agencies and policy-makers etc., from both China and abroad to exchange ideas on

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Zhou, Haiqing, and Richard Lambert. "Preface: 5th International Symposium on Social Science and Management Innovation (SSMI 2023)." Journal of Education, Humanities and Social Sciences 14 (May 30, 2023): I. http://dx.doi.org/10.54097/ehss.v14i.8255.

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5th International Symposium on Social Science and Management Innovation (SSMI 2023) was held in Macao, China during April 29-30, 2023. This conference was sponsored by Research Center of Engineering and Science, and was attended by academicians, researchers, entrepreneurs, government agencies and policy-makers, postgraduates from China and all over the world. The aim of the conference is to provide an interactive platform for the academicians, R & D organizations, industries, innovators, entrepreneurs, government agencies and policy-makers etc., from both China and abroad to exchange

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12

Kang, Han-Sol, Hyung-Wook Kwon, Di-gud Kim, Kwang-Rak Park, Suk-Chan Hahm, and Jeong-Hyun Park. "Effects of the Suboccipital Muscle Inhibition Technique on the Range of Motion of the Ankle Joint and Balance According to Its Application Duration: A Randomized Controlled Trial." Healthcare 9, no. 6 (2021): 646. http://dx.doi.org/10.3390/healthcare9060646.

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This study aimed to investigate the effects of suboccipital muscle inhibition technique (SMIT) on active range of motion (AROM) of the ankle joint, lunge angle (LA), and balance in healthy adults, according to the duration of its application. A total of 80 participants were randomly allocated to the 4-min suboccipital muscle inhibition (SMI) group (SMI_4M, n = 20), 8-min SMI group (n = 20), 4-min sham-SMI (SSMI) group (n = 20), and 8-min SSMI group (n = 20). Accordingly, the SMIT and sham SMIT were applied for 4 min or 8 min in the respective groups. AROM of dorsiflexion and LA were assessed,

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You, Yuanhong, Yuhao Zhang, Yanyu Lu, Ying Hao, Zhiguang Tang, and Haiyan Hou. "Spatiotemporal Dynamics of Drought in the Huai River Basin (2012–2018): Analyzing Patterns Through Hydrological Simulation and Geospatial Methods." Remote Sensing 17, no. 2 (2025): 241. https://doi.org/10.3390/rs17020241.

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As climate change intensifies, extreme drought events have become more frequent, and investigating the mechanisms of watershed drought has become highly significant for basin water resource management. This study utilizes the WRF-Hydro model in conjunction with standardized drought indices, including the standardized precipitation index (SPI), standardized soil moisture index (SSMI), and Standardized Streamflow Index (SSFI), to comprehensively investigate the spatiotemporal characteristics of drought in the Huai River Basin, China, from 2012 to 2018. The simulation performance of the WRF-Hydro

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14

Tjemkes, Stephen A., Graeme L. Stephens, and Darren L. Jackson. "Spaceborne observation of columnar water vapor: SSMI observations and algorithm." Journal of Geophysical Research 96, no. D6 (1991): 10941. http://dx.doi.org/10.1029/91jd00272.

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15

Torres, Ruben Moya, Peter W. T. Yuen, Changfeng Yuan, Johathan Piper, Chris McCullough, and Peter Godfree. "Spatial Spectral Band Selection for Enhanced Hyperspectral Remote Sensing Classification Applications." Journal of Imaging 6, no. 9 (2020): 87. http://dx.doi.org/10.3390/jimaging6090087.

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Despite the numerous band selection (BS) algorithms reported in the field, most if not all have exhibited maximal accuracy when more spectral bands are utilized for classification. This apparently disagrees with the theoretical model of the ‘curse of dimensionality’ phenomenon, without apparent explanations. If it were true, then BS would be deemed as an academic piece of research without real benefits to practical applications. This paper presents a spatial spectral mutual information (SSMI) BS scheme that utilizes a spatial feature extraction technique as a preprocessing step, followed by th

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16

Redko, A. V., Yu V. Таmarkina, A. M. Redko, I. B. Frolova, and V. A. Кucherenko. "Direction of changes in porous structure and adsorption capacity during topochemical oxidation of coal activated by alkali." Voprosy Khimii i Khimicheskoi Tekhnologii, no. 2 (May 2023): 127–36. http://dx.doi.org/10.32434/0321-4095-2023-147-2-127-136.

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The purpose of the work is to evaluate the influence of topochemical oxidation (H2O2, HNO3) of carbon prepared by alkali activation of coal on porosity and ability to adsorb 4-chlorophenol (CPh), Pb(II) cations and iodine. Carbons were oxidized at the reactant/carbon ratio of 1:1 (mol/mol, 250С, 24 h). Based on nitrogen adsorption-desorption isotherms, the volumes and specific surfaces of ultramicro- (Sumi), supermicro- (Ssmi) and other pores were evaluated. Kinetics and adsorption isotherms (250С) of CPh and Pb(II) were characterized; adsorption capacities of CPh, Pb(II) and I2 were determine

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Кucherenko, V. O., Yu V. Таmarkina, А. V. Redko, and V. О. Sabierova. "Adsorbents of 4-chlorophenol from long-flame coal activated by potassium hydroxide." Voprosy Khimii i Khimicheskoi Tekhnologii, no. 2 (April 2024): 47–54. http://dx.doi.org/10.32434/0321-4095-2024-153-2-47-54.

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The purpose of the work was to evaluate the adsorption capacities of carbon materials (CMs) from long-flame coal with respect to 4-chlorophenol (CPh) and the influence of CMs preparation temperature under alkali activation at a low KOH/coal ratio (1 g/g). The CMs were obtained by heating coal with KOH to specific temperatures ranging from 350 to 8250C with a 1-hour holding time. Specific surfaces of all pores (SDFT), micropores (Smi), ultramicropores (Sumi), and supermicropores (Ssmi) were determined using nitrogen adsorption-desorption isotherms. The kinetics and isotherms of CPh adsorption a

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18

Sun, Xupeng, Peiyu Lai, Shujing Wang, Lisheng Song, Mingguo Ma, and Xujun Han. "Monitoring of Extreme Agricultural Drought of the Past 20 Years in Southwest China Using GLDAS Soil Moisture." Remote Sensing 14, no. 6 (2022): 1323. http://dx.doi.org/10.3390/rs14061323.

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Drought can cause severe agricultural economic losses and hinder social and economic development. To manage drought, the process of drought events needs to be described with the help of an effective drought indicator. As a comprehensive variable, soil moisture is an essential indicator for describing agricultural drought. In this work, the extreme drought events in southwest China were analysed by the Global Land Data Assimilation System (GLDAS) root zone soil moisture data set. To define the drought quantitatively, a Standardized Soil Moisture Drought Index (SSMI) was calculated using the soi

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19

Odongo, Rhoda A., Hans De Moel, and Anne F. Van Loon. "Propagation from meteorological to hydrological drought in the Horn of Africa using both standardized and threshold-based indices." Natural Hazards and Earth System Sciences 23, no. 6 (2023): 2365–86. http://dx.doi.org/10.5194/nhess-23-2365-2023.

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Abstract. There have been numerous drought propagation studies in data-rich countries, but not much has been done for data-poor regions (such as the Horn of Africa, HOA). In this study, we characterize meteorological, soil moisture and hydrological drought and the propagation from one to the other for 318 catchments in the HOA to improve understanding of the spatial variability in the drought hazard. We calculate the standardized precipitation index (SPI), standardized soil moisture index (SSMI) and standardized streamflow index (SSI). In addition, we use the variable threshold method to calcu

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20

Qi, Pengnian, and Biao Qin. "SSMI: Semantic Similarity and Mutual Information Maximization Based Enhancement for Chinese NER." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 13474–82. http://dx.doi.org/10.1609/aaai.v37i11.26580.

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The Chinese NER task consists of two steps, first determining entity boundaries and then labeling them. Some previous work incorporating related words from pre-trained vocabulary into character-based models has been demonstrated to be effective. However, the number of words that characters can match in the vocabulary is large, and their meanings vary widely. It is unreasonable to concatenate all the matched words into the character's representation without making semantic distinctions. This is because words with different semantics also have distinct vectors by the distributed representation.

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Nikraftar, Z., M. Hasanlou, and M. Esmaeilzadeh. "NOVEL SNOW DEPTH RETRIEVAL METHOD USING TIME SERIES SSMI PASSIVE MICROWAVE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 525–30. http://dx.doi.org/10.5194/isprs-archives-xli-b8-525-2016.

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The Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSM/IS) are satellites that work in passive microwave range. The SSM/I has capability to measure geophysical parameters which these parameters are key to investigate the climate and hydrology condition in the world. In this research the SSMI passive microwave data is used to study the feasibility of monitoring snow depth during snowfall month from 2010 to 2015 using an algorithm in conjunction with ground depth measured at meteorological stations of the National Centre for Environmental Information (NC

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Nikraftar, Z., M. Hasanlou, and M. Esmaeilzadeh. "NOVEL SNOW DEPTH RETRIEVAL METHOD USING TIME SERIES SSMI PASSIVE MICROWAVE IMAGERY." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B8 (June 23, 2016): 525–30. http://dx.doi.org/10.5194/isprsarchives-xli-b8-525-2016.

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The Special Sensor Microwave Imager (SSM/I) and the Special Sensor Microwave Imager Sounder (SSM/IS) are satellites that work in passive microwave range. The SSM/I has capability to measure geophysical parameters which these parameters are key to investigate the climate and hydrology condition in the world. In this research the SSMI passive microwave data is used to study the feasibility of monitoring snow depth during snowfall month from 2010 to 2015 using an algorithm in conjunction with ground depth measured at meteorological stations of the National Centre for Environmental Information (NC

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Long Feng, Wu Yu, Jin Huan, et al. "R&D Activities on ITER In-Vessel Coil SSMI Conductor Fabrication." IEEE Transactions on Applied Superconductivity 24, no. 3 (2014): 1–5. http://dx.doi.org/10.1109/tasc.2013.2286674.

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24

Halpern, David, and Frank Wentz. "On the problem of measuring interannual wind speed variations using SSMI data." Geophysical Research Letters 21, no. 3 (1994): 193–96. http://dx.doi.org/10.1029/94gl00029.

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Li, Fan, Z. Cao, Jianjun Yu, Xinying Li, and Lin Chen. "SSMI cancellation in direct-detection optical OFDM with novel half-cycled OFDM." Optics Express 21, no. 23 (2013): 28543. http://dx.doi.org/10.1364/oe.21.028543.

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De Freitas, Marcos W. D., Cláudio W. Mendes Júnior, Jorge Arigony-Neto, Juliana Costi, and Jefferson C. Simões. "A multiscale subpixel mixture analysis applied for melt detection using passive microwave and radar scatterometer image time series of the Antarctic Peninsula (1999–2009)." Annals of Glaciology 59, no. 76pt1 (2017): 16–28. http://dx.doi.org/10.1017/aog.2017.44.

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ABSTRACTThis paper reports a comparative analysis performed on a fraction-image time series of the Antarctic Peninsula from the period 1999–2009 generated by multiresolution remote-sensing images (SSM/I and SSMI/S with 25 km and QuikSCAT with 2.225 km spatial resolutions) for snow-melt detection. Our method is based on the (a) preprocessing of multitemporal remote-sensing data, (b) subpixel mixture analysis of SSMI and QuikSCAT image time series, and (c) evaluation of subpixel analysis, including an assessment of fraction images of wet snow using an independent ASAR dataset and sensitivity ana

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Vonnez, Jean-Luc. "Une assemblée générale de la SSMI centrée sur le «positif de la médecine»." Revue Médicale Suisse 2, no. 60 (2006): 956. http://dx.doi.org/10.53738/revmed.2006.2.60.0956.

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Wu, Weixiong, Ronghui Li, and Jinhua Shao. "Assessment of Regional Spatiotemporal Variations in Drought from the Perspective of Soil Moisture in Guangxi, China." Water 14, no. 3 (2022): 289. http://dx.doi.org/10.3390/w14030289.

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Understanding the changes in regional droughts is important for promoting overall sustainable development. However, the spatiotemporal dynamics of soil droughts in Guangxi under the background of global warming and regional vegetation restoration have not been studied extensively, and the potential causes are scarcely understood. Here, using TerraClimate soil moisture data, we constructed a monthly standardized soil moisture index (SSMI), analyzed the seasonal and annual spatiotemporal distribution of droughts from the perspective of soil moisture, and studied past soil drought events in Guang

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Berg, Wesley, Rachael Kroodsma, Christian Kummerow, and Darren McKague. "Fundamental Climate Data Records of Microwave Brightness Temperatures." Remote Sensing 10, no. 8 (2018): 1306. http://dx.doi.org/10.3390/rs10081306.

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An intercalibrated Fundamental Climate Data Record (FCDR) of brightness temperatures (Tb) has been developed using data from a total of 14 research and operational conical-scanning microwave imagers. This dataset provides a consistent 30+ year data record of global observations that is well suited for retrieving estimates of precipitation, total precipitable water, cloud liquid water, ocean surface wind speed, sea ice extent and concentration, snow cover, soil moisture, and land surface emissivity. An initial FCDR was developed for a series of ten Special Sensor Microwave/Imager (SSM/I) and Sp

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Foster, J. L., A. T. C. Chang, D. K. Hall, and R. Kelly. "Seasonal snow extent and snow mass in South America using SSMI passive microwave data1." Polar Geography 25, no. 1 (2001): 41–53. http://dx.doi.org/10.1080/10889370109377704.

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Sinha, Manjira, and Tirthankar Dasgupta. "A web browsing interface for people with severe speech and motor impairment." Journal of Enabling Technologies 15, no. 3 (2021): 189–207. http://dx.doi.org/10.1108/jet-07-2020-0029.

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Purpose The Web has become an indispensable medium used by people across the world for education, information, entertainment, social interaction as well as for various daily activities involving shopping and employment-related tasks. It is therefore becoming increasingly essential that the Web must be accessible to all people to provide equal access and equal opportunity. This is specifically more important for people with various kind of disabilities. Several initiatives such as development of Web accessibility guidelines, tools and technologies have been undertaken to make the Web usable for

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Wei, Xiaoting, Shengzhi Huang, Qiang Huang, et al. "Analysis of Vegetation Vulnerability Dynamics and Driving Forces to Multiple Drought Stresses in a Changing Environment." Remote Sensing 14, no. 17 (2022): 4231. http://dx.doi.org/10.3390/rs14174231.

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Quantifying changes in the vulnerability of vegetation to various drought stresses in different seasons is important for rational and effective ecological conservation and restoration. However, the vulnerability of vegetation and its dynamics in a changing environment are still unknown, and quantitative attribution analysis of vulnerability changes has been rarely studied. To this end, this study explored the changes of vegetation vulnerability characteristics under various drought stresses in Xinjiang and conducted quantitative attribution analysis using the random forest method. In addition,

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Posey, P. G., E. J. Metzger, A. J. Wallcraft, et al. "Improving Arctic sea ice edge forecasts by assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems." Cryosphere 9, no. 4 (2015): 1735–45. http://dx.doi.org/10.5194/tc-9-1735-2015.

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Abstract. This study presents the improvement in ice edge error within the US Navy's operational sea ice forecast systems gained by assimilating high horizontal resolution satellite-derived ice concentration products. Since the late 1980's, the ice forecast systems have assimilated near real-time sea ice concentration derived from the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSMI and then SSMIS). The resolution of the satellite-derived product was approximately the same as the previous operational ice forecast system (25 km). As the sea ice forecast mode

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Posey, P. G., E. J. Metzger, A. J. Wallcraft, et al. "Assimilating high horizontal resolution sea ice concentration data into the US Navy's ice forecast systems: Arctic Cap Nowcast/Forecast System (ACNFS) and the Global Ocean Forecast System (GOFS 3.1)." Cryosphere Discussions 9, no. 2 (2015): 2339–65. http://dx.doi.org/10.5194/tcd-9-2339-2015.

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Abstract. This study presents the improvement in the US Navy's operational sea ice forecast systems gained by assimilating high horizontal resolution satellite-derived ice concentration products. Since the late 1980's, the ice forecast systems have assimilated near real-time sea ice concentration derived from the Defense Meteorological Satellite Program (DMSP) Special Sensor Microwave/Imager (SSMI and then SSMIS). The resolution of the satellite-derived product was approximately the same as the previous operational ice forecast system (25 km). As the sea ice forecast model resolution increased

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Wang, Xingdong, Shuhui Yang, Donghui Shangguan, and Yuhua Wang. "Sea ice detection from SSMI data based on an improved U-Net convolution neural network." Remote Sensing Letters 13, no. 2 (2021): 115–25. http://dx.doi.org/10.1080/2150704x.2021.1999525.

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Collins, Michael L., John L. Stanford, and David Halpern. "One- to two-month oscillations in SSMI surface wind speed in western tropical Pacific Ocean." Geophysical Research Letters 21, no. 24 (1994): 2685–88. http://dx.doi.org/10.1029/94gl02439.

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Oliveira, Rômulo A. J., Ramon C. Braga, Daniel A. Vila, and Carlos A. Morales. "Evaluation of GPROF-SSMI/S rainfall estimates over land during the Brazilian CHUVA-VALE campaign." Atmospheric Research 163 (September 2015): 102–16. http://dx.doi.org/10.1016/j.atmosres.2014.11.010.

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Li and Dai. "Dynamic Soft Sensor Development for Time-Varying and Multirate Data Processes Based on Discount and Weighted ARMA Models." Symmetry 11, no. 11 (2019): 1414. http://dx.doi.org/10.3390/sym11111414.

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To solve the soft sensor modeling (SSMI) problem in a nonlinear chemical process with dynamic time variation and multi-rate data, this paper proposes a dynamic SSMI method based on an autoregressive moving average (ARMA) model of weighted process data with discount (DSSMI-AMWPDD) and optimization methods. For the sustained influence of auxiliary variable data on the dominant variables, the ARMA model structure is adopted. To reduce the complexity of the model, the dynamic weighting model is combined with the ARMA model. To address the weights of auxiliary variable data with different sampling

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Pereira Júnior, Reginaldo Lourenço, Rejane Magalhães de Mendonça Pimentel, and Josiclêda Domiciano Galvíncio. "Efeitos da seca na vegetação na Bacia Hidrográfica do Riacho do Pontal - Pernambuco." Journal of Hyperspectral Remote Sensing 14, no. 2 (2025): 986–98. https://doi.org/10.29150/jhrs.v14i2.262203.

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A vegetação necessita de água para o desenvolvimento de suas funções fisiológicas. Neste contexto, o estudo investigou a influência de eventos de secas na vegetação da bacia do Riacho do Pontal. Com o uso do Sistema de Unidades de resposta hidrológica para Pernambuco (SUPer), as variáveis SW_END (Conteúdo de água em mm na HRU), LAI (Índice de área foliar) e BIOM (Biomassa vegetal total) foram obtidas. Os valores de SW_END foram utilizados para cálculo do Índice Padronizado de Umidade do Solo (SSMI) e entendimento da dinâmica da seca. Imagens do satélite Landsat 8 foram utilizadas para cálculo

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Bjørgo, Einar, Ola M. Johannessen, and Martin W. Miles. "Analysis of merged SMMR-SSMI time series of Arctic and Antarctic sea ice parameters 1978-1995." Geophysical Research Letters 24, no. 4 (1997): 413–16. http://dx.doi.org/10.1029/96gl04021.

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Ming, Wenting, Xian Luo, Xuan Luo, et al. "Quantitative Assessment of Cropland Exposure to Agricultural Drought in the Greater Mekong Subregion." Remote Sensing 15, no. 11 (2023): 2737. http://dx.doi.org/10.3390/rs15112737.

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Accurate and reliable information on the spatiotemporal characteristics of agricultural drought is important in understanding complicated drought processes and their potential impacts. We proposed an integrated approach for detecting agricultural droughts and their cropland exposure using remote sensing data over the Greater Mekong Subregion (GMS) collected from 2001 to 2020. The soil moisture (SM) dataset (0.05°) was first reconstructed based on an ESACCI SM dataset using a random forest (RF) model. Subsequently, the standardized soil moisture index (SSMI) was used to identify the agricultura

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Gao, Shuo, Zhen Li, Quan Chen, Zhang Ping, and Wu Zhou. "Comparison of HY-2B Passive Brightness Temperatures with SSMI/S, GMI, AMSR2 and MWRI in Land Surface." IOP Conference Series: Earth and Environmental Science 502 (June 2, 2020): 012007. http://dx.doi.org/10.1088/1755-1315/502/1/012007.

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Duarte, B., J. Freitas, T. Couto, et al. "New multi-metric Salt Marsh Sediment Microbial Index (SSMI) application to salt marsh sediments ecological status assessment." Ecological Indicators 29 (June 2013): 390–97. http://dx.doi.org/10.1016/j.ecolind.2013.01.008.

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"Assemblées générales extra-ordinaires SSMG/SSMI et Assemblée de fondation SSMIG." PrimaryCare 15, no. 21 (2015): 370. http://dx.doi.org/10.4414/pc-f.2015.01129.

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Zong, Fangyi, Shugang Zhang, Ping Chen, et al. "Evaluation of Sea Ice Concentration Data Using Dual-Polarized Ratio Algorithm in Comparison With Other Satellite Passive Microwave Sea Ice Concentration Data Sets and Ship-Based Visual Observations." Frontiers in Environmental Science 10 (April 4, 2022). http://dx.doi.org/10.3389/fenvs.2022.856289.

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The dual-polarized ratio (DPR) algorithm is a new algorithm that enable calculation of Arctic sea ice concentration from the 36.5-GHz channel of the sensor Advanced Microwave Scanning Radiometer for EOS/Advanced Microwave Scanning Radiometer 2 (AMSR-E/AMSR2). In this paper, we demonstrate results that the sea ice concentration data using DPR algorithm (DPR-AMSR) are evaluated and compared with other eight Arctic sea ice concentration data products with respect to differences in sea ice concentration, sea ice area, and sea ice extent. On a pan-Arctic scale, the evaluation results are mostly ver

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"Changement suite au regroupement de la SSMG et de la SSMI." Bulletin des Médecins Suisses 98, no. 06 (2017): 178. http://dx.doi.org/10.4414/bms.2017.05368.

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Gupta, Ajay, Manoj Kumar Jain, and Rajendra Prasad Pandey. "The changing characteristics of propagation time from meteorological drought to hydrological drought in a semi‐arid river basin in India." Hydrological Processes 38, no. 8 (2024). http://dx.doi.org/10.1002/hyp.15266.

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AbstractThis study employs an event‐based approach to analyse drought propagation from meteorological to hydrological drought via agricultural drought in the semi‐arid Krishna River basin of India. The Standardized Precipitation Evapotranspiration Index (SPEI), Standardized Soil Moisture Index (SSMI) and Standardized Streamflow Index (SSI) representing meteorological, agricultural and hydrological drought, respectively, were estimated. Two different cases of drought propagation are analysed: meteorological‐to‐agricultural (SPEI‐to‐SSMI) and agricultural‐to‐hydrological (SSMI‐to‐SSI). The droug

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DV, Jeevithashree, Puneet Jain, Abhishek Mukhopadhyay, Kamal Preet Singh Saluja, and Pradipta Biswas. "Eye gaze controlled adaptive virtual keyboard for users with SSMI." Technology and Disability, July 30, 2021, 1–20. http://dx.doi.org/10.3233/tad-200292.

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BACKGROUND: Users with Severe Speech and Motor Impairment (SSMI) often use a communication chart through their eye gaze or limited hand movement and care takers interpret their communication intent. There is already significant research conducted to automate this communication through electronic means. Developing electronic user interface and interaction techniques for users with SSMI poses significant challenges as research on their ocular parameters found that such users suffer from Nystagmus and Strabismus limiting number of elements in a computer screen. This paper presents an optimized ey

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"1er Great Update de la SSMI." PrimaryCare 11, no. 14 (2011): 246. http://dx.doi.org/10.4414/pc-f.2011.08943.

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"Société Suisse de Médecine Intensive (SSMI)." Bulletin des Médecins Suisses 93, no. 17 (2012): 626. http://dx.doi.org/10.4414/bms.2012.00508.

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