全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...
-  2018 

遥感陆地水循环的进展与展望
Remote Sensing of the Terrestrial Water Cycle: Progress and Perspectives

DOI: 10.13203/j.whugis20180174

Keywords: 遥感,陆地水循环,卫星,雷达,水平衡,
remote sensing
,terrestrial water cycle,satellite,radar,water balance

Full-Text   Cite this paper   Add to My Lib

Abstract:

随着遥感技术的不断进步,许多陆地水循环的变量已经能够通过遥感定量估算。遥感方法能够提供大范围、长周期的水循环变量数据,这极大地推进了人们对陆地水循环过程的认识和理解。阐述了遥感观测陆地水循环重要变量的基本原理,回顾了陆地水循环遥感主要技术方法的重要进展和最新成果,指出下一步可能的发展方向。尽管目前遥感技术具备获取大范围水循环关键变量的能力,但是遥感估算的水循环分量还难以满足基本的水量平衡,表明当前遥感数据的水文一致性还待加强。未来遥感陆地水循环研究的发展一方面需要新型传感器和平台来提供更高精度且时空一致的观测数据,另一方面需要开展大型地面水循环同步全过程观测试验来对遥感产品进行深入评估,以促进遥感技术在陆地水循环研究中的应用

References

[1]  Tapley B D, Bettadpur S, Ries J C, et al. GRACE Measurements of Mass Variability in the Earth System[J]. Science, 2004, 305(5683):503-505
[2]  Sellers P J, Hall F G, Asrar G, et al. An Overview of the First International Satellite Land Surface Climatology Project (ISLSCP) Field Experiment (FIFE)[J]. Journal of Geophysical Research Atmospheres, 1992, 97(D17):18345-18371
[3]  Kidd C,Levizzani V. Status of Satellite Precipitation Retrievals[J]. Hydrology and Earth System Sciences, 2011, 15(5):1109-1116
[4]  Gorelick N, Hancher M, Dixon M, et al. Google Earth Engine:Planetary-Scale Geospatial Analysis for Everyone[J]. Remote Sensing of Environment, 2017, 202:18-27
[5]  Tapley B D, Bettadpur S, Watkins M, et al. The Gravity Recovery and Climate Experiment:Mission Overview and Early Results[J]. Geophysical Research Letters, 2004, 31:9607-9610
[6]  Crétaux J F, Biancamaria S, Arsen A, et al. Global Surveys of Reservoirs and Lakes from Satellites and Regional Application to the Syrdarya River Basin[J]. Environmental Research Letters, 2015, 10:015002
[7]  Gao H, Birkett C, Lettenmaier D P. Global Monitoring of Large Reservoir Storage from Satellite Remote Sensing[J]. Water Resources Research, 2012, 48:1-12
[8]  Shi J, Dong X, Zhao T, et al. WCOM:The Science Scenario and Objectives of a Global Water Cycle Observation Mission[C]. IEEE Geoscience and Remote Sensing Symposium,Quebec City, Canada, 2014
[9]  Frei A, Tedesco M, Lee S, et al. A Review of Global Satellite-derived Snow Products[J]. Advances in Space Research, 2012, 50:1007-1029
[10]  Luo Jiancheng, Sheng Yongwei, Shen Zhanfeng, et al. Highly Accurate Automatic Extraction of Multi-spectral Remote Sensing Water Information with Step Iteration[J]. Journal of Remote Sensing, 2009, 13(4):610-615(骆剑承, 盛永伟, 沈占锋, 等. 分步迭代的多光谱遥感水体信息高精度自动提取[J]. 遥感学报, 2009, 13(4):610-615)
[11]  Biancamaria S, Lettenmaier D P, Pavelsky T M. The SWOT Mission and Its Capabilities for Land Hydrology[J]. Remote Sensing and Water Resources, 2016,55:117-147
[12]  Arthur Y H,Ramesh K K, Steven N, et al. The Global Precipitation Measurement Mission[J]. Bulletin of the American Meteorological Society, 2014, 95(5):701-722
[13]  Tang Guoqiang, Wan Wei, Zeng Ziyue, et al. An Overview of the Global Precipitation Measurement (GPM) Mission and Its Latest Development[J]. Remote Sensing Technology and Application, 2015, 30(4):607-615(唐国强, 万玮, 曾子悦,等. 全球降雨测量(GPM)计划及其最新进展综述[J]. 遥感技术与应用,2015, 30(4):607-615)
[14]  Qi Y, Zhang J, Zhang P. A Real-Time Automated Convective and Stratiform Precipitation Segregation Algorithm in Native Radar Coordinates[J]. Quarterly Journal of the Royal Meteorological Society, 2013, 139(677):2233-2240
[15]  Xiao Yanjiao, Liu Liping, Li Zhonghua, et al. Automatic Detection and Suppression of Bright Bands in Radar Reflectivity Data[J]. Plateau Meteorology, 2010, 29(1):197-205(肖艳娇,刘黎平,李中华,等. 雷达反射率因子数据中的亮带自动识别和抑制[J].高原气象, 2010, 29(1):197-205)
[16]  Xiao Yanjiao, Liu Liping. Research on Three-dimensional Lattice Point and Puzzle Method of Weather Radar Network Data of New Generation[J]. Acta Meteorologica Sinica, 2006, 64(5):647-656(肖艳娇,刘黎平. 新一代天气雷达网资料的三维格点化及拼图方法研究[J]. 气象学报,2006, 64(5):647-656)
[17]  Zhang J, Howard K,Gourley J J. Constructing Three-Dimensional Multiple-Radar Reflectivity Mosaics:Examples of Convective Storms and Stratiform Rain Echoes[J]. Journal of Atmospheric & Oceanic Technology, 2005, 22(1):30-42
[18]  Langston C, Zhang J, Howard K. Four-Dimensional Dynamic Radar Mosaic[J]. Journal of Atmospheric & Oceanic Technology, 2007, 24(5):776-790
[19]  Tabary P. The New French Operational Radar Rainfall Product. Part I:Methodology[J]. Weather & Forecasting, 2007, 22(3):393-408
[20]  Luo X, Chen J M, Liu J, et al. Comparison of Big-leaf, Two-Big-Leaf and Two-Leaf Upscaling Schemes for Evapotranspiration Estimation Using Coupled Carbon-water Modelling[J]. Journal of Geophysical Research Biogeosciences, 2018, DOI:10.1002/2017JG003978
[21]  Wagle P, Bhattarai N, Gowda P H, et al. Perfor-mance of Five Surface Energy Balance Models for Estimating Daily Evapotranspiration in High Biomass Sorghum[J]. Journal of Photogrammetry & Remote Sen-sing, 2017, 128:192-203
[22]  Kolassa J, Reichle R H, Liu Q, et al. Estimating Surface Soil Moisture from SMAP Observations Using a Neural Network Technique[J]. Remote Sensing of Environment, 2018, 204:43-59
[23]  Yang Hongjuan, Cong Zhentao, Lei Zhidong. Coupling of the Harmonic Analysis Method and Two-source Energy Model to Estimate Soil Heat Flux and Evapotranspiration[J]. Geomatics and Information Science of Wuhan University, 2009, 34(6):706-710(杨红娟, 丛振涛, 雷志栋. 谐波法与双源模型耦合估算土壤热通量和地表蒸散发[J]. 武汉大学学报·信息科学版, 2009, 34(6):706-710)
[24]  Yang J, Jiang L, Shi J, et al. Monitoring Snow Cover Using Chinese Meteorological Satellite Data over China[J]. Remote Sen-sing of Environment, 2014, 143:192-203
[25]  Tang Q H, Gao H L, Lu H, et al. Remote Sen-sing:Hydrology[J]. Progress in Physical Geography, 2009, 33(4):490-509
[26]  Hall D K, Riggs G A. MODIS/Terra Snow Cover 8-Day L3 Global 500 m Grid, Version 6[C]. NASA National Snow and Ice Data Center Distributed Active Archive Center, Boulder, Colorado, USA,2016
[27]  Tedesco M, Kelly R, Foster J L, et al. AMSR-E/Aqua Daily L3 Global Snow Water Equivalent EASE-Grids, Version 2[C]. NASA National Snow and Ice Data Center Distributed Active Archive Center, Boulder, Colorado, USA, 2004
[28]  Gao Y, Xie H, Lu N, et al. Toward Advanced Daily Cloud-free Snow Cover and Snow Water Equivalent Products from Terra-Aqua MODIS and Aqua AMSR-E Measurements[J]. Journal of Hydrology, 2010, 385(1-4):23-35
[29]  Foster J, Hall L D K, Eylander J B, et al. A Blended Glabal Snow Product Using Visible, Passive Microwave and Scatterometer Satellite Data[J]. Intemational Journal of Remote Sensing, 2011, 32(5):1371-1395
[30]  Helfrich S R, Mcnamara D, Ramsay B H, et al. Enhancements to, and Forthcoming Developments in the Interactive Multisensor Snow and Ice Mapping System (IMS)[J]. Hydrological Processes, 2010, 21(12):1576-1586
[31]  V?r?smarty C J, Green P, Salisbury J, et al. Glo-bal Water Resources:Vulnerability from Climate Change and Population Growth[J]. Science, 2000, 289(5477):284-288
[32]  Xu Hanqiu. Study on Extracting Water Information Using Improved Normalized Differential Water Index (MNDWI)[J].Journal of Remote Sensing,2005,9(5):589-595(徐涵秋.利用改进的归一化差异水体指数(MNDWI)提取水体信息的研究[J].遥感学报,2005,9(5):589-595)
[33]  Sun Na,Gao Zhiqiang, Wang Xiaojing, et al. Highly Accurate Extraction of Water Body in the Loess Plateau Based on High Resolution Remote Sensing Images[J]. Remote Sensing for Land & Resources, 2017, 29(4):173-178(孙娜, 高志强, 王晓晶, 等. 基于高分遥感影像的黄土高原地区水体高精度提取[J]. 国土资源遥感, 2017, 29(4):173-178)
[34]  Pekel J F, Cottam A, Gorelick N, et al. High-Reso-lution Mapping of Global Surface Water and Its Long-term Changes[J]. Nature, 2016, 540(7633):418
[35]  Zhang S,Gao H, Naz B S. Monitoring Reservoir Rtorage in South Asia from Multisatellite Remote Sensing[J]. Water Resources Research, 2014, 50:8927-8943
[36]  Wang H, Guan H,Gutiérrez-Jurado H A, et al. Examination of Water Budget Using Satellite Pro-ducts over Australia[J]. Journal of Hydrology, 2014, 511:546-554
[37]  Pan M,Sahoo A K, Troy T J, et al. Multisource Estimation of Long-term Terrestrial Water Budget for Major Global River Basins[J]. Journal of Climate, 2012, 25:3191-3206
[38]  Politi E, Maccallum S, Cutler M E J, et al. Selection of a Network of Large Lakes and Reservoirs Suitable for Global Environmental Change Analysis Using Earth Observation[J]. International Journal of Remote Sensing, 2016, 37(13):3042-3060
[39]  Gao H, Tang Q, Ferguson C R, et al. Estimating the Water Budget of Major US River Basins Via Remote Sensing[J]. International Journal of Remote Sensing, 2010, 31:3955-3978
[40]  Wang Zilong, Hu Shitao, Fu Qiang, et al. Research Progress on Remote Sensing Inversion of Snow Parameters[J]. Journal of Northeast Agricultural University, 2016, 47(9):100-106(王子龙, 胡石涛, 付强, 等. 积雪参数遥感反演研究进展[J]. 东北农业大学学报, 2016, 47(9):100-106)
[41]  Foster J L, Hall D K, Chang A T C. Remote Sen-sing of Snow[J]. Eos Transactions American Geophysical Union, 2013, 68(32):682-684
[42]  Li Jian, Zhou Qu, Chen Xiaoling, et al. Spatial Scale Study on Quantitative Remote Sensing of Highly Dynamic Coastal/Inland Waters[J].Geomatics and Information Science of Wuhan University, 2018, 43(6):937-942(李建, 周屈, 陈晓玲,等. 近岸/内陆典型水环境要素定量遥感空间尺度问题研究[J]. 武汉大学学报·信息科学版, 2018, 43(6):937-942)
[43]  Yin Yaqiu, Li Jiaguo, Yu Tao, et al. Object-oriented Water Body Extraction Method Based on High Resolution Remote Sensing Images[J]. Bulletin of Surveying and Mapping, 2015(1):81-85(殷亚秋, 李家国, 余涛, 等. 基于高分辨率遥感影像的面向对象水体提取方法研究[J]. 测绘通报, 2015(1):81-85)
[44]  Lee H, Durand M, Jung H C, et al. Characterization of Surface Water Storage Changes in Arctic Lakes Using Simulated SWOT Measurements[J]. International Journal of Remote Sensing, 2010, 31:3931-3953
[45]  Keys T A, Scott D T. Monitoring Volumetric Fluctuations in Tropical Lakes and Reservoirs Using Satellite Remote Sensing[J]. Lake & Reservoir Management, 2017,34(3):154-166
[46]  Zhang S,Gao H. A Novel Algorithm for Monitoring Reservoirs Under All-weather Conditions at a High Temporal Resolution Through Passive Microwave Remote Sensing[J]. Geophysical Research Letters, 2016, 43:8052-8059
[47]  Liu Juan, Song Zizhong, Liu Dongfeng, et al. Group Z-R Relationship and Its Application in Radar Rainfall Measurement in the Huaihe River Basin[J]. Journal of the Meteorological Sciences, 1999, 19(2):213-219(刘娟,宋子忠,刘东风,等. 分组Z-R关系及其在淮河流域雷达测雨中应用[J]. 气象科学, 1999, 19(2):213-219)
[48]  Hall D K, Riggs G A, Salomonson V V, et al. MODIS Snow-cover Products[J]. Remote Sensing of Environment, 2002, 83(1):181-194
[49]  McFeeters S K. The Use of the Normalized Difference Water Index (NDWI) in the Delineation of Open Water Features[J]. International Journal of Remote Sensing, 1996, 17(7):1425-1432
[50]  Pekel J F, Vancutsem C, Bastin L, et al. A Near Real-Time Water Surface Detection Method Based on HSV Transformation of MODIS Multi-spectral Time Series Data[J]. Remote Sensing of Environment, 2014, 140:704-716
[51]  Donchyts G, Baart F, Winsemius H, et al. Earth's Surface Water Change over the Past 30 Years[J]. Nature Climate Change, 2016, 6(9):810
[52]  Hugue F, Lapointe M, Eaton B C, et al. Satellite-based Remote Sensing of Running Water Habitats at Large Riverscape Scales:Tools to Analyze Habitat Heterogeneity for River Ecosystem Management[J]. Geomorphology, 2016, 253:353-369
[53]  Gao H. Satellite Remote Sensing of Large Lakes and Reservoirs:From Elevation and Area to Storage[J]. Wiley Interdisciplinary Reviews Water, 2015, 2(2):147-157
[54]  Sahoo A K, Pan M, Troy T J, et al. Reconciling the Global Terrestrial Water Budget Using Satellite Remote Sensing[J]. Remote Sensing of Environment, 2011, 115:1850-1865
[55]  Li Xin, Li Xiaowen, LI Zengyuan, et al. Progresses on the Watershed Allied Telemetry Experimental Research (WATER)[J]. Remote Sensing Technology and Application, 2012, 27(5):637-649(李新, 李小文, 李增元,等. 黑河综合烟感联合实验研究进展:概述[J]. 遥感技术与应用, 2012, 27(5):637-649)
[56]  Kenneth J T, Marvin E B. Satellite Precipitation Products and Hydrologic Applications[J]. Water International, 2014, 39(3):360-380
[57]  Barrett E C, Beaumont M J. Satellite Rainfall Monitoring:An Overview[J]. Remote Sensing Reviews, 1994, 11(1):23-48
[58]  Francisco J T, Turk F J, Walt P, et al. Global Precipitation Measurement:Methods, Datasets and Applications[J]. Atmospheric Research, 2012, 104-105(1):70-97
[59]  Wang Ying, Feng Yerong, Cai Jinhui, et al. Radial Quantitative Precipitation Z-I Relationship Estimation Method[J]. Journal of Tropical Meteorology,2011, 27(4):601-608(汪瑛,冯业荣,蔡锦辉,等. 雷达定量降水动态分级Z-I关系估算方法[J]. 热带气象学报, 2011, 27(4):601-608)
[60]  Xu X, Howard K, Zhang J. An Automated Radar Technique for the Identification of Tropical Precipitation[J]. Journal of Hydrometeorology, 2008, 9(5):885-902
[61]  Zhang J, Qi Y C. A Real-Time Algorithm for the Correction of Brightband Effects in Radar-derived QPE[J].Journal of Hydrometeorology, 2010, 11(5):1157-1171
[62]  Huang Xuanxuan, Zhu Kefeng, Zhao Kun. Improvement of Typhoon Precipitation Estimation Accuracy Under Complex Terrain Using Radar Reflectivity Factor Vertical Profiles[J]. Meteorological Monthly, 2017, 43(10):1198-1212(黄旋旋,朱科锋,赵坤. 利用雷达反射率因子垂直廓线改进复杂地形下的台风降水估测精度[J]. 气象,2017, 43(10):1198-1212)
[63]  Qi Y, Zhang J. A Physically Based Two-Dimensional Seamless Reflectivity Mosaic for Radar QPE in the MRMS System[J]. Journal of Hydrometeorology, 2017, 18(5):1327-1340
[64]  Yang Yongmin, Li Lu, Pang Zhiguo, et al. A Remote Sensing Evapotranspiration Model for Land Based on the Theoretical Trapezoid Space[J]. Remote Sensing Technology and Application, 2016, 31(2):324-331(杨永民, 李璐, 庞治国, 等. 基于理论参数空间的遥感蒸散模型构建及验证[J]. 遥感技术与应用, 2016, 31(2):324-331)
[65]  Mu Q Z, Zhao M S, Running S W. Improvements to a MODIS Global Terrestrial Evapotranspiration Algorithm[J]. Remote Sensing of Environment, 2011, 115(8):1781-1800
[66]  Zhang K, Kimball J S, Nemani R R, et al. A Continuous Satellite-derived Global Record of Land Surface Evapotranspiration from 1983 to 2006[J]. Water Resources Research, 2010, 46:W09522
[67]  Vinukollu R K, Meynadier R, Sheffield J, et al. Multi-model, Multi-sensor Estimates of Glo-bal Evapotranspiration:Climatology, Uncertainties and Trends[J]. Hydrological Processes, 2011, 25(26):3993-4010
[68]  Miralles D G, Jiménez C, Jung M, et al. The WACMOS-ET Project-Part 2:Evaluation of Glo-bal Terrestrial Evaporation Data Sets[J]. Hydrology & Earth System Sciences Discussions, 2016, 12(1):10651-10700
[69]  Chen Shaohui. A Trous Wavelet Based Four-Dimensional Evapotranspiration Assimilation[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sen-sing, 2016, 9(1):467-474
[70]  Xu Pei, Zhang Chao. Progress of Research on Retrieval of Soil Moisture Based on Remote Sensing[J]. Forest Resources Management, 2015(4):151-160(徐沛, 张超. 土壤水分遥感反演研究进展[J]. 林业资源管理, 2015(4):151-160)
[71]  Wu Li, Zhang Youzhi, Xie Wenhuan, et al. Summary of Remote Sensing Methods for Monitoring Soil Moisture[J]. Remote Sensing for Land and Resources, 2014, 26(2):19-26(吴黎, 张有智, 解文欢, 等. 土壤水分的遥感监测方法概述[J]. 国土资源遥感, 2014, 26(2):19-26)
[72]  Chen Shulin, Liu Yuanbo, Wen Zuomin. Satellite Retrieval of Soil Moisture:An Overview[J]. Advances in Earth Science, 2012, 27(11):1192-1203(陈书林, 刘元波, 温作民. 卫星遥感反演土壤水分研究综述[J]. 地球科学进展, 2012, 27(11):1192-1203)
[73]  Levizzani V, Amorati R, Meneguzzo F. A Review of Satellite Based Rainfall Estimation Methods[OL]. http://satmet.isac.cnr.it/papers/MUSIC-Rep-Sat_Precip-6.1.pdf, 2002
[74]  Arkin P A, Meisner B N. The Relationship Between Large-Scale Convective Rainfall and Cold Cloud over the Western Hemisphere During 1982-1984[J]. Monthly Weather Review, 1987, 115(115):51
[75]  Scofield R A, Kuligowski R J. Status and Outlook of Operational Satellite Precipitation Algorithms for Extreme-Precipitation Events[J]. Monthly Weather Review, 2003, 18(6):1037-1051
[76]  Yang Hongping, Wan Rong, Shi Yan, et al. Three-Radar Combined Inversion Precipitation Analysis of "6.30" Heavy Rainfall in the Huaihe River Basin[C]. Meteorological Science and Technology Innovation and Atmospheric Science Deve-lopment in the New Century:Chinese Meteorological Society, Meeting of the "03.7 Huaihe Dashui Hydrometeorology" Subcommittee,Beijing, China, 2003(杨洪平,万蓉,石燕,等. 淮河流域"6.30"暴雨过程的三部雷达联合反演降水分析[C].新世纪气象科技创新与大气科学发展——中国气象学会2003年年会"03.7淮河大水的水文气象学问题"分会,北京,2003)
[77]  Liu Xiaoyang, Yang Hongping, Li Jiantong, et al. The Preliminary Evaluation of the Accuracy of the New-generation Weather Radar Quantitative Precipi-tation System (QPEGS)[C]. The Meteorological Comprehensive Detection Technology Subcommittee of the 2007 Annual Meeting of the Chinese Meteorological Society, Guangzhou, China, 2007(刘晓阳,杨洪平,李建通,等. 新一代天气雷达定量估测降水系统(QPEGS)精度初评[C].中国气象学会2007年年会气象综合探测技术分会, 广州, 2007)
[78]  Zhang J, Howard K, Langston C, et al. National Mosaic and Multi-Sensor QPE (NMQ) System:Description, Results, and Future Plans[J]. Bulletin of the American Meteorological Society, 2015, 92(92):1321-1338
[79]  Tang L, Zhang J, Langston C, et al. A Physically Based Precipitation-Nonprecipitation Radar Echo Classifier Using Polarimetric and Environmental Data in a Real-Time National System[J]. Weather & Forecasting, 2014, 29(5):1106-1119
[80]  Zhang Peichang, Lin Binggan, Wang Dengyan, et al. Optimization of the Z-R Relationship and Its Accuracy in the Determination of Precipitation[J]. Journal of the Meteorologica Sinica, 1992, 12(3):333-338(张培昌,林炳干,王登炎,等. 最优化法求Z-R关系及其在测定降水量中的精度[J].气象科学,1992, 12(3):333-338)
[81]  Parajka J, Pepe M, Rampini A, et al. A Regional Snowline Method for Estimating Snow Cover from MODIS During Cloud Cover[J]. Journal of Hydrology, 2010, 381:203-212
[82]  Long D,Shen Y, Sun A, et al. Drought and Flood Monitoring for a Large Karst Plateau in Southwest China Using Extended GRACE Data[J]. Remote Sensing of Environment, 2014, 155:145-160
[83]  McCabe M F, Wood E F, Wojcik R, et al. Hydrological Consistency Using Multi-sensor Remote Sensing Data for Water and Energy Cycle Studies[J]. Remote Sensing of Environment, 2008, 112:430-444
[84]  Sheffield J, Ferguson C R, Troy T J, et al. Closing the Terrestrial Water Budget from Satellite Remote Sensing[J]. Geophysical Research Letters, 2009, 36:L07403
[85]  Zhang Y, Pan M, Wood E F. On Creating Global Gridded Terrestrial Water Budget Estimates from Satellite Remote Sensing[J]. Surveys in Geophy-sics, 2016, 37:249-268
[86]  Tang Q, Durand M,Lettenmaier D P, et al. Satellite-based Observations of Hydrological Processes[J]. International Journal of Remote Sensing, 2010, 31(14):3661-3667
[87]  Zhang J, Howard K, Langston C, et al. Multi-Radar Multi-Sensor (MRMS) Quantitative Precipita-tion Estimation:Initial Operating Capabilities[J]. Bulletin of the American Meteorological Society, 2016
[88]  Liu Liping, Wu Linlin, Yang Yinming. Establishment and Effect Analysis of Step-by-Step Echo Recognition Method Based on Fuzzy Logic for Terrestrial Superrefractors[J]. Acta Meteorologica Sinica, 2007,65(2):42-52,65(刘黎平,吴林林,杨引明.基于模糊逻辑的分步式超折射地物回波识别方法的建立和效果分析[J]. 气象学报,2007,65(2):42-52,65
[89]  Tang Guoqiang, Long Di, Wan Wei, et al. An Overview and Outlook of Global Water Remote Sen-sing Technology and Applications[J]. Scientia Sinica, 2015, 45:1013-1023(唐国强, 龙笛, 万玮, 等. 全球水遥感技术及其应用研究的综述与展望[J]. 中国科学:技术科学, 2015, 45:1013-1023)
[90]  Yu Fan, Li Haitao, Zhang Chengming, et al. A New Approach for Surface Soil Moisture Retrieving Using Two-polarized Microwave Remote Sensing Data[J].Geomatics and Information Science of Wuhan University, 2014, 39(2):225-228(余凡, 李海涛, 张承明,等. 利用双极化微波遥感数据反演土壤水分的新方法[J]. 武汉大学学报·信息科学版, 2014, 39(2):225-228)
[91]  Peng J, Loew A, Merlin O, et al. A Review of Spatial Downscaling of Satellite Remotely Sensed Soil Moisture[J]. Reviews of Geophysics, 2017, 55(2):341-366
[92]  Kerr Y H,Waldteufel P, Richaume P, et al. The SMOS Soil Moisture Retrieval Algorithm[J]. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50:1384-1403
[93]  Hu Meng, Feng Qi, Xi Haiyang. Progress of Monitoring Soil Moisture by Remote Sensing in Arid Areas[J]. Chinese Journal of Soil Science, 2013, 44(5):1270-1275(胡猛, 冯起, 席海洋. 遥感技术监测干旱区土壤水分研究进展[J]. 土壤通报, 2013, 44(5):1270-1275)
[94]  Dietz A J,Kuenzer C, Gessner U, et al. Remote Sensing of Snow-A Review of Available Methods[J]. International Journal of Remote Sensing, 2012, 33(13):4094-4134
[95]  Yu Lingxue, Zhang Shuwen, Bu Kun, et al. A Review of Snow Dataset Research[J]. Scientia Geographica Sinica, 2013, 33(7):878-883(于灵雪, 张树文, 卜坤, 等. 雪数据集研究综述[J]. 地理科学, 2013, 33(7):878-883)
[96]  Liao Anping, Chen Lijun, Chen Jun, et al. High Resolution Remote Sensing Mapping of Global Land Surface Waters[J]. Science China:Earth Science, 2014, 44(8):1634-1645(廖安平, 陈利军, 陈军, 等. 全球陆表水体高分辨率遥感制图[J]. 中国科学:地球科学, 2014, 44(8):1634-1645)
[97]  Trochim E D, Prakash A, Kane D L, et al. Remote Sensing of Water Tracks[J]. Earth & Space Science, 2016(3), DOI:10.1002/2015EA000112

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133