基于多源信息的水资源立体监测研究综述
A review on water resources stereoscopic monitoring systems based on multisource data
- 2020年24卷第7期 页码:787-803
纸质出版日期: 2020-07-07
DOI: 10.11834/jrs.202020123
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岩腊,龙笛,白亮亮,张才金,韩忠颖,李兴东,王文,申邵洪,冶运涛.2020.基于多源信息的水资源立体监测研究综述.遥感学报,24(7): 787-803
Yan L,Long D,Bai L L,Zhang C J,Han Z Y,Li X D,Wang W,Shen S H and Ye Y T. 2020. A review on water resources stereoscopic monitoring systems based on multisource data. Journal of Remote Sensing(Chinese),24(7): 787-803[DOI:10.11834/jrs.20200123]
水资源监测是水资源管理的基础和支撑。随着中国最严格水资源管理制度的实施,从水量、水质、用水效率3方面的水资源管理开始向精细化和动态化管理转变。水资源要素具有时空变异大、通量变化快等特点,单独依靠地面监测手段难以开展大范围动态高效监测。目前中国水资源监测体系的建设,总体上以地面监测为主,还不具备水资源精细化和动态化管理需求的监测能力。随着卫星遥感等数据资源的不断丰富和陆面同化系统的不断发展,建立地面观测、卫星遥感和陆面同化系统三位一体的立体监测体系,探讨不同监测方式、多要素的协同监测机理、水资源监测要素的组织机制,对提升中国水资源监控能力具有参考价值。
Water resources monitoring is the foundation of water resources management. China is implementing the strictest water resources management system toward precise and dynamic management in terms of water quantity
water quality
and water use efficiency
with higher requirements for water resources monitoring. Water resources components are characterized by large spatial and temporal differences. Currently
the water resources monitoring system is based mainly on ground monitoring. However
it is difficult to carry out large-scale and long-term monitoring based solely on ground measurements. There are still knowledge gaps in the fine and dynamic water resources management. With continuous and rapid increases in satellite data
this paper examines the use of multi-mission satellite data
ground observation systems
and land data assimilation systems to jointly develop a stereoscopic monitoring system
which would be of value to address the monitoring gaps for water cycle components and to enhance the monitoring capability of water resources in China
with important implications for stereoscopic water resources monitoring for other countries and regions globally.
遥感多源信息立体监测协同机理水资源管理
remote sensingmultisource datastereoscopic monitoringcoordinated mechanismswater resources management
Allan M G, Hamilton D P, Hicks B J and Brabyn L . 2011. Landsat remote sensing of chlorophyll a concentrations in central North Island lakes of New Zealand. International Journal of Remote Sensing, 32(7):2037-2055[DOI: 10.1080/01431161003645840http://dx.doi.org/10.1080/01431161003645840 ]
Anderson M C, Norman J M, Mecikalski J R, Otkin J A and Kustas W P . 2007. A climatological study of evapotranspiration and moisture stress across the continental United States based on thermal remote sensing: 1. Model formulation. Journal of Geophysical Research: Atmospheres, 112: D10117 [DOI: 10.1029/2006JD007506http://dx.doi.org/10.1029/2006JD007506 ]
Bai L L, Cai J B, Liu Y, Chen H, Zhang B Z and Huang L X . 2017. Responses of field evapotranspiration to the changes of cropping pattern and groundwater depth in large irrigation district of Yellow River basin. Agricultural Water Management, 188: 1-11 [DOI: 10.1016/j.agwat.2017.03.028http://dx.doi.org/10.1016/j.agwat.2017.03.028 ]
Bai L L, Long D and Yan L . 2019. Estimation of surface soil moisture with downscaled land surface temperatures using a data fusion approach for heterogeneous agricultural land. Water Resources Research, 55(2): 1105-1128 [DOI: 10.1029/2018WR024162http://dx.doi.org/10.1029/2018WR024162 ]
Bartalis Z, Wagner W, Naeimi V, Hasenauer S, Scipal K, Bonekamp H, Figa J and Anderson C . 2007. Initial soil moisture retrievals from the METOP‐A Advanced Scatterometer (ASCAT). Geophysical Research Letters, 34: L20401 [DOI: 10.1029/2007GL031088http://dx.doi.org/10.1029/2007GL031088 ]
Bjerklie D M, Dingman S L, Vorosmarty C J, Bolster C H and Congalton R G . 2003. Evaluating the potential for measuring river discharge from space. Journal of Hydrology, 278(1-4): 17-38 [DOI: 10.1016/s0022-1694(03)00129-xhttp://dx.doi.org/10.1016/s0022-1694(03)00129-x ]
Brakenridge G R, Nghiem S V, Anderson E and Chien S . 2005. Space‐based measurement of river runoff. Eos, Transactions American Geophysical Union, 86(19): 185-188 [DOI: 10.1029/2005EO19 0001http://dx.doi.org/10.1029/2005EO190001 ]
Brocca L, Hasenauer S, Lacava T, Melone F, Moramarco T, Wagner W, Dorigo W, Matgen P, Martínez-Fernández J and Llorens P . 2011. Soil moisture estimation through ASCAT and AMSR-E sensors: An intercomparison and validation study across Europe. Remote Sensing of Environment, 115(12): 3390-3408 [DOI: 10.1016/j.rse.2011.08.003http://dx.doi.org/10.1016/j.rse.2011.08.003 ]
Brocca L, Massari C, Ciabatta L, Moramarco T, Penna D, Zuecco G, Pianezzola L, Borga M, Matgen P and Martínez-Fernández J . 2015. Rainfall estimation from in situ soil moisture observations at several sites in Europe: an evaluation of the SM2RAIN algorithm. Journal of Hydrology and Hydromechanics, 63(3): 201-209 [DOI: 10.1515/johh-2015-0016http://dx.doi.org/10.1515/johh-2015-0016 ]
Brocca L, Moramarco T, Melone F and Wagner W . 2013. A new method for rainfall estimation through soil moisture observations. Geophysical Research Letters, 40(5): 853-858 [DOI: 10.1002/grl.50173http://dx.doi.org/10.1002/grl.50173 ]
Brocca L, Pellarin T, Crow W T, Ciabatta L, Massari C, Ryu D, Su C H, Rüdiger C and Kerr Y . 2016. Rainfall estimation by inverting SMOS soil moisture estimates: A comparison of different methods over Australia. Journal of Geophysical Research: Atmospheres, 121(20): 12062-1207 9 [DOI: 10.1002/2016JD025382http://dx.doi.org/10.1002/2016JD025382 ]
Cai Y . 2013. National Water Resources Monitoring Capacity Building Project and its Progress. Water Resources Information, (6):5-10
蔡阳 . 2013. 国家水资源监控能力建设项目及其进展. 水利信息化, (6): 5-10 [DOI: 10.3969/j.issn.1000-1123.2011.06.015http://dx.doi.org/10.3969/j.issn.1000-1123.2011.06.015 ]
Cammalleri C, Anderson M, Gao F, Hain C and Kustas W . 2013. A data fusion approach for mapping daily evapotranspiration at field scale. Water Resources Research, 49(8): 4672-4686 [DOI: 10.1002/wrcr.20349http://dx.doi.org/10.1002/wrcr.20349 ]
Chan S, Bindlish R, O'Neill P, Jackson T, Njoku E, Dunbar S, Chaubell J, Piepmeier J, Yueh S and Entekhabi D . 2018. Development and assessment of the SMAP enhanced passive soil moisture product. Remote Sensing of Environment, 204: 931-941 [DOI: 10.1016/j.rse.2017.08.025http://dx.doi.org/10.1016/j.rse.2017.08.025 ]
Cho E, Su C-H, Ryu D, Kim H and Choi M . 2017. Does AMSR2 produce better soil moisture retrievals than AMSR-E over Australia? Remote Sensing of Environment, 188: 95-105 [DOI: 10.1016/j.rse.2016.10.050http://dx.doi.org/10.1016/j.rse.2016.10.050 ]
Choi M and Hur Y . 2012. A microwave-optical/infrared disaggregation for improving spatial representation of soil moisture using AMSR-E and MODIS products. Remote Sensing of Environment, 124: 259-269 [DOI: 10.1016/j.rse.2012.05.009http://dx.doi.org/10.1016/j.rse.2012.05.009 ]
Ciabatta L, Marra A C, Panegrossi G, Casella D, Sanò P, Dietrich S, Massari C and Brocca L . 2017. Daily precipitation estimation through different microwave sensors: Verification study over Italy. Journal of Hydrology, 545: 436-450 [DOI: 10.1016/j.jhydrol.2016.12.057http://dx.doi.org/10.1016/j.jhydrol.2016.12.057 ]
Cho E, Jacobs J M and Vuyovich C M . 2020. The Value of Long‐Term (40 years) Airborne Gamma Radiation SWE Record for Evaluating Three Observation‐Based Gridded SWE Data Sets by Seasonal Snow and Land Cover Classifications. Water Resources Research, 56: 1-23
Colliander A, Jackson T J, Chan S, O'Neill P, Bindlish R, Cosh M, Caldwell T, Walker J, Berg A and McNairn H . 2018. An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites. Remote Sensing of Environment, 207: 65-70 [DOI: 10.1016/j.rse.2018.02.006http://dx.doi.org/10.1016/j.rse.2018.02.006 ]
Cui W J, Xia L H, Xie X T and Pan C H . 2017. A model of dissolved oxygen in the Pearl River estuary based on measured spectrum. Journal of Guangzhou University, 16(6): 84-92
崔文君,夏丽华,解学通, 潘翠红 . 2017. 基于实测光谱的珠江口溶解氧反演模型. 广州大学学报(自然科学版), 16(6): 84-92 [DOI:10.3969/j.issn.1671-4229.2017.06.013http://dx.doi.org/10.3969/j.issn.1671-4229.2017.06.013 ]
Cui Y L, Dong B, Li Y H and Cai X L . 2007. Assessment indicators and scales of water saving in agricultural irrigation. Transactions of the Chinese Society of Agricultural Engineering, 23(7): 1-7
崔远来, 董斌, 李远华, 蔡学良 . 2007. 农业灌溉节水评价指标与尺度问题. 农业工程学报, 23(7): 1-7 [DOI:10.3321/j.issn:1002-6819.2007.07.001http://dx.doi.org/10.3321/j.issn:1002-6819.2007.07.001 ]
Draper D W, Newell D A, Wentz F J, Krimchansky S, Skofronick-Jackson G M . 2015. The Global Precipitation Measurement (GPM) Microwave Imager (GMI): Instrument Overview and Early On-Orbit Performance. IEEE Journal of selected topics in applied earth observations and remote sensing, 8(7): 3452-3462 [DOI: 10.1109/JSTARS.2015.2403303http://dx.doi.org/10.1109/JSTARS.2015.2403303 ]
Fang X, Duan H T, Cao Z G, Shen M and Ge X S . 2018. Remote monitoring of cyanobacterial blooms using multi-source satellite data: A case of Yuqiao Reservoir, Tianjin. Journal of Lake Sciences, 30(4): 967-978
房旭, 段洪涛, 曹志刚, 沈明, 葛小三 . 2018. 基于多源卫星数据的小型水体蓝藻水华联合监测—以天津于桥水库为例.湖泊科学, 30(4): 967-978 [DOI:10.18307/2018.0410http://dx.doi.org/10.18307/2018.0410 ]
Feng W, Zhong M, Lemoine J M, Biancale R, Hsu H T and Xia J . 2013. Evaluation of groundwater depletion in North China using the Gravity Recovery and Climate Experiment (GRACE) data and ground‐based measurements. Water Resources Research, 49(4): 2110-2118 [DOI: 10.1002/wrcr.20192http://dx.doi.org/10.1002/wrcr.20192 ]
Feng X, Li J, Cheng W, Fu B, Wang Y and Lü Y . 2017. Evaluation of AMSR-E retrieval by detecting soil moisture decrease following massive dryland re-vegetation in the Loess Plateau, China. Remote Sensing of Environment, 196: 253-264 [DOI: 10.1016/j.rse.2017.05.012http://dx.doi.org/10.1016/j.rse.2017.05.012 ]
Filippucci P, Tarpanelli A, Massari C, Serafini A, Strati V, Alberi M, Raptis K G C, Mantovani F and Brocca L . 2020. Soil moisture as a potential variable for tracking and quantifying irrigation: A case study with proximal gamma-ray spectroscopy data. Advances in Water Resources, 136: 103502
Gelsinari S, Doble R, Daly E and Pauwels V R N . 2020. Feasibility of improving groundwater modeling by assimilating evapotranspiration rates. Water Resources Research, 56, e2019WR025983 [DOI: 10.1029/2019WR025983http://dx.doi.org/10.1029/2019WR025983 ]
Gokmen M, Vekerdy Z, Verhoef A, Verhoef W, Batelaan O and Van der Tol C . 2012. Integration of soil moisture in SEBS for improving evapotranspiration estimation under water stress conditions. Remote Sensing of Environment, 121: 261-274 [DOI: 10.1016/j.rse.2012.02.003http://dx.doi.org/10.1016/j.rse.2012.02.003 ]
Guo J Y, Chang X T, Gao Y g, Sun J L and Hwang C . 2009. Lake level variations monitored with satellite altimetry waveform retracking. IEEE journal of selected topics in applied earth observations and remote sensing, 2(2): 80-86 [DOI: 10.1109/jstars.2009.2021673http://dx.doi.org/10.1109/jstars.2009.2021673 ]
Guo P, Wu F D, Dai J G, Wang H H, Xu L P and Zhang G S . 2017. Comparison of farmland crop classification methods based on visible light images of unmanned aerial vehicles. Transactions of the Chinese Society of Agricultural Engineering, 33(13): 112-119
郭鹏, 武法东, 戴建国, 王海红, 徐丽萍, 张顺国 . 2017. 基于无人机可见光影像的农田作物分类方法比较. 农业工程学报, 33(13): 112-119 [DOI:10.11975/j.issn.1002-6819.2017.13.015http://dx.doi.org/10.11975/j.issn.1002-6819.2017.13.015 ]
Hasan S, Montzka C, Rüdiger C, Ali M, Bogena H R, Vereecken H . 2014. Soil moisture retrieval from airborne L-band passive microwave using high resolution multispectral data. ISPRS Journal of Photogrammetry and Remote Sensing, 91: 59-71 [DOI: 10.1016/j.isprsjprs.2014.02.005http://dx.doi.org/10.1016/j.isprsjprs.2014.02.005 ]
He L, Hong Y, Wu X L, Ye N, Walker J P and Chen X N . 2018. Investigation of SMAP Active–Passive Downscaling Algorithms Using Combined Sentinel-1 SAR and SMAP Radiometer Data. IEEE transactions on Geoscience and remote sensing, 56(8): 4906-4918 [DOI: 10.1109/TGRS.2018.2842153http://dx.doi.org/10.1109/TGRS.2018.2842153 ]
Hu H, Hu G X and Li X H . 2017. Summarization of remote sensing monitoring of water quality. Inner Mongolia Environmental Sciences, 29(8): 158-160
胡红, 胡广鑫, 李新辉 . 2017. 水体水质遥感监测研究综述. 环境与发展, 29(8): 158-160 [DOI:10.16647/j.cnki.cn15-1369/X.2017.08.090http://dx.doi.org/10.16647/j.cnki.cn15-1369/X.2017.08.090 ]
Huang Q, Long D, Du M D, Zeng C, Qiao G, Li X D, Hou A Z and Hong Y . 2018. Discharge estimation in high-mountain regions with improved methods using multisource remote sensing: A case study of the Upper Brahmaputra River. Remote Sensing of Environment, 219: 115-134 [DOI: 10.1016/j.rse.2018.10.008http://dx.doi.org/10.1016/j.rse.2018.10.008 ]
Huang Y, Chen X, Bao A M, Liu T and Feng X W . 2009. Daily flow modeling in arid ungauged basin. Advances in Water Science, 20(3): 332-336
黄粤, 陈曦, 包安明, 刘铁, 冯先伟 . 2009. 干旱区资料稀缺法流域日径流过程模拟.水科学进展, 20(3): 332-336 [DOI:10.3321/j.issn:1001-6791.2009.03.004http://dx.doi.org/10.3321/j.issn:1001-6791.2009.03.004 ]
Huffman G J, Adler R F, Bolvin D T, Gu, G J, Nelkin E J, Bowman K P, Hong Y, Stocker E F, Wolff D B . 2007. The TRMM multisatellite precipitation analysis (TMPA): Quasi-global, multiyear, combined-sensor precipitation estimates at fine scales, Journal of Hydrometeorology, 8(1): 38-55 [DOI: 10.1175/JHM560.1http://dx.doi.org/10.1175/JHM560.1 ]
Jackson T J, Bindlish R, Cosh M, Gasiewski A, Stankov B, Klein M, Weber B and Zavorotny V . 2005. Soil moisture experiments 2004 (SMEX04) polarimetric scanning radiometer, AMSR-E and heterogeneous landscapes, International Geoscience and Remote Sensing Symposium, 2, 1114-1117 [DOI: 10.1109/IGARSS.2005.1525311http://dx.doi.org/10.1109/IGARSS.2005.1525311 ]
Jalilvand E, Tajrishy M, Hashemi S A G Z and Brocca L . 2019. Quantification of irrigation water using remote sensing of soil moisture in a semi-arid region. Remote Sensing of Environment, 231: 111226 [DOI: 10.1016/j.rse.2019.111226http://dx.doi.org/10.1016/j.rse.2019.111226 ]
Jiang L, Yang Y T and Shang S H . 2013. Evaluation on irrigation efficiency of irrigation district in arid region based on evapotranspiration estimated from remote sensing data. Transactions of the Chinese Society of Agricultural Engineering, 29(20): 95-101
蒋磊, 杨雨亭, 尚松浩 . 2013. 基于遥感蒸发模型的干旱区灌区灌溉效率评价. 农业工程学报, 29(20): 95-101 [DOI:10.3969/j.issn.1002-6819.2013.20.014http://dx.doi.org/10.3969/j.issn.1002-6819.2013.20.014 ]
Jiang C . 2018. Exploration and practice of application of Gaofen satellite data in remote sensing monitoring of water environment in River Basin. Satelite Application, (1): 39-42
江澄 . 2018. 高分数据应用于流域水环境遥感监测的探索与实践.卫星应用, (1): 39-42 [DOI:10.3969/j.issn.1674-9030.2018.01.013http://dx.doi.org/10.3969/j.issn.1674-9030.2018.01.013 ]
Kerr Y H, Waldteufel P, Wigneron J-P, Martinuzzi J, Font J and Berger M . 2001. Soil moisture retrieval from space: The Soil Moisture and Ocean Salinity (SMOS) mission. IEEE transactions on Geoscience and remote sensing, 39(8): 1729-1735 [DOI: 10.1109/36.942551http://dx.doi.org/10.1109/36.942551 ]
Kim H, Parinussa R, Konings A G, Wagner W, Cosh M H, Lakshmi V, Zohaib M and Choi M . 2018. Global-scale assessment and combination of SMAP with ASCAT (active) and AMSR2 (passive) soil moisture products. Remote Sensing of Environment, 204: 260-275 [DOI: 10.1016/j.rse.2017.10.026http://dx.doi.org/10.1016/j.rse.2017.10.026 ]
Kim K, Park J, Baik J and Choi M . 2017. Evaluation of topographical and seasonal feature using GPM IMERG and TRMM 3B42 over Far-East Asia. Atmospheric Research, 187: 95-105 [DOI: 10.1016/j.atmosres.2016.12.007http://dx.doi.org/10.1016/j.atmosres.2016.12.007 ]
Koster R D, Brocca L, Crow W T, Burgin M S and De Lannoy G J . 2016. Precipitation estimation using L‐band and C‐band soil moisture retrievals. Water Resources Research, 52(9): 7213-7225 [DOI: 10.1002/2016WR019024http://dx.doi.org/10.1002/2016WR019024 ]
Kummerow C, Barnes W, Kozu T, Shiue J, Simpson J . 1998. The Tropical Rainfall Measuring Mission (TRMM) sensor package. Journal of atmospheric and oceanic technology,15(3): 809-817 [DOI: 10.1175/1520-0426(1998)015<0809:TTRMMT>2.0.CO;2http://dx.doi.org/10.1175/1520-0426(1998)015<0809:TTRMMT>2.0.CO;2 ]
Kummerow C, Simpson J, Thiele O, Barnes W, Chang A T C, Stocker E, Adler R F, Hou A, Kakar R, Wentz F, Ashcroft P, Kozu T, Hong Y, Okamoto K, Iguchi T, Kuroiwa H, Im E, Haddad Z, Huffman G, Ferrier B, Olson W S, Zipser E, Smith E A, Wilheit T T, North G, Krishnamurti T, Nakamura K . 2000. The status of the Tropical Rainfall Measuring Mission (TRMM) after two years in orbit. Journal of applied meteorology, 39(12): 1965-1982 [DOI: 10.1175/1520-0450(2001)040<1965:TSOTTR>2.0.CO;2http://dx.doi.org/10.1175/1520-0450(2001)040<1965:TSOTTR>2.0.CO;2 ]
Kustas W P, Norman J M, Anderson M C and French A N . 2003. Estimating subpixel surface temperatures and energy fluxes from the vegetation index–radiometric temperature relationship. Remote Sensing of Environment, 85(4): 429-440 [DOI: 10.1016/s0034-4257(03)00036-1http://dx.doi.org/10.1016/s0034-4257(03)00036-1 ]
Lautenbacher C C . 2006. The global earth observation system of systems: Science serving society. Space Policy, 22(1): 8-11 [DOI: 10.1016/j.spacepol.2005.12.004http://dx.doi.org/10.1016/j.spacepol.2005.12.004 ]
Li X D, Long D, Huang Q, Han P F, Zhao F Y and Wada Y . 2019. High-temporal-resolution water level and storage change data sets for lakes on the Tibetan Plateau during 2000–2017 using multiple altimetric missions and Landsat-derived lake shoreline positions. Earth System Science Data Discussions, 11(4): 1603-1627 [DOI: 10.5194/essd-11-1603-2019http://dx.doi.org/10.5194/essd-11-1603-2019 ]
Li Y M, Huang J Z, Lu W N and Shi J Z . 2006. Model-based remote sensing on the concentration of suspended sediments in Taihu Lake. Oceanologia et Limnologia Sinica, 37(2): 171-177
李云梅, 黄家柱, 陆皖宁, 石浚哲 . 2006. 基于分析模型的太湖悬浮物浓度遥感监测. 海洋与湖沼, 37(2): 171-177 [DOI:10.3321/j.issn:0029-814X.2006.02.011http://dx.doi.org/10.3321/j.issn:0029-814X.2006.02.011 ]
Liang S L, Bai R, Chen X N, Cheng J, Fan W J, He T, Jia K, Jiang B, Jiang L M, Jiao Z T, Liu Y B, Ni W J, Qiu F, Song L L, Sun L, Tang B H, Wen J G, Wu G P, Xie D H, Yao Y J, Yuan W P, Zhang Y G, Zhang Y Z, Zhang Y T, Zhang X T, Zhao T J and Zhao X . 2020. Review of China's land surface quantitative remote sensing development in 2019. Journal of Remote Sensing, 24(6): 609-662
梁顺林, 白瑞, 陈晓娜, 程洁, 范闻捷, 何涛, 贾坤, 江波, 蒋玲梅, 焦子锑, 刘元波, 倪文俭, 邱凤, 宋柳霖, 孙林, 唐伯惠,闻 建光, 吴桂平, 谢东辉, 姚云军, 袁文平, 张永光, 张玉珍, 张云腾, 张晓通, 赵天杰, 赵祥 . 2020. 2019年中国陆表定量遥感发展综述. 遥感学报, 24(6): 609-662 [DOI:10.11834/jrs.20209476http://dx.doi.org/10.11834/jrs.20209476 ]
Liu J K, Zhong S Q and Liang W H . 2015. Extraction on crops planting structure based on multi-temporal Landsat8 OLI images. Remote Sensing Technology and Application, 30(4): 775-783
刘吉凯, 钟仕全, 梁文海 . 2015. 基于多时相Landsat8OLI影像的作物种植结构提取.遥感技术与应用, 30(4): 775-783 [DOI:10.11873/j.issn.1004-0323.2015.4.0775http://dx.doi.org/10.11873/j.issn.1004-0323.2015.4.0775 ]
Liu X F, Duan H T and Ma R H . 2010. The spatial heterogeneity of water quality variables in Lake Taihu. Journal of Lake Sciences, 2010(3):63-70
刘晓峰, 段洪涛, 马荣华 . 太湖水体遥感反演参数的空间异质性. 湖泊科学, 2010(3):63-70 [DOI: CNKI:SUN:FLKX.0.2010-03-010http://dx.doi.org/CNKI:SUN:FLKX.0.2010-03-010 ]
Long D, Bai L L, Yan L, Zhang C J, Yang W T, Lei H M, Quan J L, Meng X Y and Shi C X . 2019. Generation of spatially complete and daily continuous surface soil moisture of high spatial resolution. Remote Sensing of Environment, 233: 111364 [DOI: 10.1016/j.rse.2019.111364http://dx.doi.org/10.1016/j.rse.2019.111364 ]
Long D, Chen X, Scanlon B R, Wada Y, Hong Y, Singh V P, Chen Y, Wang C, Han Z and Yang W . 2016. Have GRACE satellites overestimated groundwater depletion in the Northwest India Aquifer? Scientific reports, 6: 24398 [DOI: 10.1038/srep24398http://dx.doi.org/10.1038/srep24398 ]
Long D, Longuevergne L and Scanlon B R . 2015. Global analysis of approaches for deriving total water storage changes from GRACE satellites. Water Resources Research, 51(4): 2574-2594 [DOI: 10.1002/2014WR016853http://dx.doi.org/10.1002/2014WR016853 ]
Long D, Scanlon B R, Longuevergne L, Sun A Y, Fernando D N and Save H . 2013. GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas. Geophysical Research Letters, 40(13): 3395-3401 [DOI: 10.1002/grl.50655http://dx.doi.org/10.1002/grl.50655 ]
Long D and Singh V P . 2012a. A modified surface energy balance algorithm for land (M-SEBAL) based on a trapezoidal framework. Water Resources Research, 48, W02528 [DOI: 10.1029/2011WR010607http://dx.doi.org/10.1029/2011WR010607 ]
Long D and Singh V P . 2012b. A Two-source Trapezoid Model for Evapotranspiration (TTME) from satellite imagery. Remote Sensing of Environment, 121, 370-388 [DOI: 10.1016/j.rse.2012.02.015http://dx.doi.org/10.1016/j.rse.2012.02.015 ]
Long D and Singh V P . 2010. Integration of the GG model with SEBAL to produce time series of evapotranspiration of high spatial resolution at watershed scales. Journal of Geophysical Research-Atmospheres, 115: D21128 [DOI: 10.1029/2010jd014092http://dx.doi.org/10.1029/2010jd014092 ]
Ma J W and Qin S X . 2012. Recent advances and development of data assimilation algorithms. Advances in Earth Sciences, 27(7): 747-757
马建文, 秦思娴 . 2012. 数据同化算法研究现状综述. 地球科学进展, 27(7): 747-757 [DOI: CNKI:SUN:DXJZ.0.2012-07-007http://dx.doi.org/CNKI:SUN:DXJZ.0.2012-07-007 ]
Massari C, Crow W and Brocca L . 2017. An assessment of the performance of global rainfall estimates without ground-based observations. Hydrology and earth system sciences, 21(9): 4347 [DOI: 10.5194/hess-21-4347-2017http://dx.doi.org/10.5194/hess-21-4347-2017 ]
McCabe M, Wood E F, Wójcik R, Pan M, Sheffield J, Gao H and Su H . 2008. Hydrological consistency using multi-sensor remote sensing data for water and energy cycle studies. Remote Sensing of Environment, 112(2): 430-444 [DOI: 10.1016/j.rse.2007.03.027http://dx.doi.org/10.1016/j.rse.2007.03.027 ]
McCabe M F, Rodell M, Alsdorf D E, Miralles D G, Uijlenhoet R, Wagner W, Lucieer A, Houborg R, Verhoest N E and Franz T E . 2017. The future of Earth observation in hydrology. Hydrology and earth system sciences, 21(7): 3879 [DOI: 10.5194/hess-21-3879-2017http://dx.doi.org/10.5194/hess-21-3879-2017 ]
Merlin O, Escorihuela M J, Mayoral M A, Hagolle O, Al Bitar A and Kerr Y . 2013. Self-calibrated evaporation-based disaggregation of SMOS soil moisture: An evaluation study at 3 km and 100 m resolution in Catalunya, Spain. Remote Sensing of Environment, 130: 25-38 [DOI: 10.1016/j.rse.2012.11.008http://dx.doi.org/10.1016/j.rse.2012.11.008 ]
Peng J, Loew A, Merlin O and Verhoest N E . 2017. A review of spatial downscaling of satellite remotely sensed soil moisture. Reviews of Geophysics, 55(2): 341-366 [DOI: 10.1002/2016RG000543http://dx.doi.org/10.1002/2016RG000543 ]
Prakash S, Mitra A K, Pai D S, AghaKouchak A . 2016. From TRMM to GPM: How well can heavy rainfall be detected from space? Advances in water resources, 88: 1-7 [DOI: 10.1016/j.advwatres.2015.11.008http://dx.doi.org/10.1016/j.advwatres.2015.11.008 ]
Purdy A J, Fisher J B, Goulden M L, Colliander A, Halverson G, Tu K and Famiglietti J S . 2018. SMAP soil moisture improves global evapotranspiration. Remote Sensing of Environment, 219: 1-14 [DOI: 10.1016/j.rse.2018.09.023http://dx.doi.org/10.1016/j.rse.2018.09.023 ]
Qin Y H, Wu T H, Wu X D, Li R, Xie C W, Qiao Y P, Hu G J, Zhu X F, Wang W H and Shang W . 2017. Assessment of reanalysis soil moisture products in the permafrost regions of the central of the Qinghai–Tibet Plateau. Hydrological Processes, 31(26): 4647-4659 [DOI: 10.1002/hyp.11383http://dx.doi.org/10.1002/hyp.11383 ]
Ran Q, Pan Y, Wang Y R, Chen L H and Xu H L . 2013. Estimation of annual groundwater exploitation in Haihe River Basin by use of GRACE satellite data. Advances in Science Technology of Water Resources, (2): 42-46
冉全, 潘云, 王一如, 陈琳海, 许海丽 . 2013. GRACE卫星数据在海河流域地下水年开采量估算中的应用. 水利水电科技进展, (2): 42-46 [DOI: 10.3880/j.issn.10067647.2013.02.009http://dx.doi.org/10.3880/j.issn.10067647.2013.02.009 ]
Rodell M, Chen J, Kato H, Famiglietti J S, Nigro J and Wilson C R . 2007. Estimating groundwater storage changes in the Mississippi River basin (USA) using GRACE. Hydrogeology Journal, 15(1): 159-166 [DOI: 10.1007/s10040-006-0103-7http://dx.doi.org/10.1007/s10040-006-0103-7 ]
Rodell M, Houser P, Jambor U, Gottschalck J, Mitchell K, Meng C-J, Arsenault K, Cosgrove B, Radakovich J and Bosilovich M . 2004. The global land data assimilation system. Bulletin of the American Meteorological Society, 85(3): 381-394 [DOI: 10.1175/BAMS-85-3-381http://dx.doi.org/10.1175/BAMS-85-3-381 ]
Rodell M, Velicogna I and Famiglietti J S . 2009. Satellite-based estimates of groundwater depletion in India. Nature, 460(7258): 999-1002 [DOI: 10.1038/nature08238http://dx.doi.org/10.1038/nature08238 ]
Scanlon B R, Long uevergne L and Long D . 2012. Ground referencing GRACE satellite estimates of groundwater storage changes in the California Central Valley, USA. Water Resources Research, 48(4): W04520 [DOI: 10.1029/2011WR011312http://dx.doi.org/10.1029/2011WR011312 ]
Shang S H, Jiang L and Yang Y T . 2015. Review of remote sensing-based assessment method for irrigation and crop water use efficiency. Transactions of the Chinese Society for Agricultural Machinery, 46(10): 81-92
尚松浩, 蒋磊, 杨雨亭 . 2015. 基于遥感的农业用水效率评价方法研究进展. 农业机械学报, 46(10): 81-92 [DOI:10.6041/j.issn.1000-1298.2015.10.013http://dx.doi.org/10.6041/j.issn.1000-1298.2015.10.013 ]
Shi C X, Xie Z H, Qian H, Liang M L and Yang X C . 2011. China land soil moisture EnKF data assimilation based on satellite remote sensing data. Science China Earth Sciences, 54(9): 1430-1440 [DOI: CNKI:SUN:JDXG.0.2011-09-016http://dx.doi.org/CNKI:SUN:JDXG.0.2011-09-016 ]
Shi J C, Xiong C and Jiang L M . 2016. Review of snow water equivalent microwave remote sensing. Science China Earth Sciences, 46(4): 529-543
施建成, 熊川, 蒋玲梅 . 2016. 雪水当量主被动微波遥感研究进展. 中国科学:地球科学, 46(4):529-543 [DOI:10.1360/N072015-00031http://dx.doi.org/10.1360/N072015-00031 ]
Sichangi A W, Wang L, Yang K, Chen D, Wang Z, Li X, Zhou J, Liu W and Kuria D . 2016. Estimating continental river basin discharges using multiple remote sensing data sets. Remote Sensing of Environment, 179: 36-53 [DOI: 10.1016/j.rse.2016.03.019http://dx.doi.org/10.1016/j.rse.2016.03.019 ]
Strassberg G, Scanlon B R and Rodell M . 2007. Comparison of seasonal terrestrial water storage variations from GRACE with groundwater‐level measurements from the High Plains Aquifer (USA). Geophysical Research Letters, 34(14): L14402 [DOI: 10.1029/2007gl030139http://dx.doi.org/10.1029/2007gl030139 ]
Tang G Q, Long D, Wan W, Zeng Z Y, Guo X L and Hong Y . 2015. An overview and outlook of global water remote sensing technology and applications. Scientia Sinica Technologica, 45(10): 1013-1023
唐国强, 龙笛, 万玮, 曾子悦, 郭晓林, 洪阳 . 2015. 全球水遥感技术及其应用研究的综述与展望. 中国科学:技术科学, 45(10):1013-1023 [DOI:10.1360/N092015-00024http://dx.doi.org/10.1360/N092015-00024 ]
Tang G Q, Long D, Hong Y, Gao J Y and Wan W . 2018. Documentation of multifactorial relationships between precipitation and topography of the Tibetan Plateau using spaceborne precipitation radars. Remote Sensing of Environment, 208: 82-96 [DOI: 10.1016/j.rse.2018.02.007http://dx.doi.org/10.1016/j.rse.2018.02.007 ]
Tang G Q, Ma Y Z, Long D, Zhong L Z, Hong Y . 2016. Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales. Journal of hydrology, 533: 152-167 [DOI: 10.1016/j.jhydrol.2015.12.008http://dx.doi.org/10.1016/j.jhydrol.2015.12.008 ]
Tang G Q, Wen Y X, Gao J Y, Long D, Ma Y Z, Wan W and Hong Y . 2017. Similarities and differences between three coexisting spaceborne radars in global rainfall and snowfall estimation. Water Resources Research, 53: 3835-3853 [DOI: 10.1002/2016WR019961http://dx.doi.org/10.1002/2016WR019961 ]
Trudel M, Leconte R and Paniconi C . 2014. Analysis of the hydrological response of a distributed physically-based model using post-assimilation (EnKF) diagnostics of streamflow and in situ soil moisture observations. Journal of Hydrology, 514: 192-201 [DOI: 10.1016/j.jhydrol.2014.03.072http://dx.doi.org/10.1016/j.jhydrol.2014.03.072 ]
Wagner W, Hahn S, Kidd R, Melzer T, Bartalis Z, Hasenauer S, Figa-Saldaña J, de Rosnay P, Jann A and Schneider S . 2013. The ASCAT soil moisture product: A review of its specifications, validation results, and emerging applications. Meteorologische Zeitschrift, 22(1): 5-33 [DOI: info:doi/10.1127/0941-2948/2013/0399http://dx.doi.org/info:doi/10.1127/0941-2948/2013/0399 ]
Wan W, Xiao P f, Feng X Z, Li H, Ma R H, Duan H T and Zhao L M . 2014. Monitoring lake changes of Qinghai-Tibetan Plateau over the past 30 years using satellite remote sensing data. Chinese Science Bulletin, 59(8), 701-714
万玮, 肖鹏峰, 冯学智, 李晖, 马荣华, 段洪涛, 赵利民 . 2014. 卫星遥感监测近30年来青藏高原湖泊变化. 科学通报, 59(8): 701-714 [DOI:10.1007/s11434-014-0128-6http://dx.doi.org/10.1007/s11434-014-0128-6 ]
Wang D W, Huang C L and Gu J . 2016. Impact of Penetration Depth on L-band Microwave Brightness Temperature in Arid Region based on L-MEB Model. Remote Sensing Technology and Application, 31(3): 580-589
王定文, 黄春林, 顾娟 . 2016. 干旱区地表L波段微波辐射特性分析:穿透深度的影响. 遥感技术与应用, 31(3): 580-589 [DOI: 10.11873/j.issn.1004-0323.2016.3.0580http://dx.doi.org/10.11873/j.issn.1004-0323.2016.3.0580 ]
Wang H, Wang J H and Hu P . 2011. Exploration and analysis of key technological support for the strictest managerial system of water resources. China Water Resources, (6): 28-29,32
王浩, 王建华, 胡鹏 . 2011. 实行最严格水资源管理制度关键技术支撑探析. 中国水利, (6): 28-29,32 [DOI:10.3969/j.issn.1000-1123.2011.06.015http://dx.doi.org/10.3969/j.issn.1000-1123.2011.06.015 ]
Wang W and Lu H . 2016. Progress in application of remote sensing data in hydrological simulation. Remote Sensing Technology Application, 30(6): 1042-1050
汪伟, 卢麾 . 2015. 遥感数据在水文模拟中的应用研究进展. 遥感技术与应用, 30(6): 1042-1050 [DOI:10.11873/j.issn.1004-0323.2015.6.1042http://dx.doi.org/10.11873/j.issn.1004-0323.2015.6.1042 ]
Wu X, Zhou J, Wang H, Li Y and Zhong B . 2015. Evaluation of irrigation water use efficiency using remote sensing in the middle reach of the Heihe river, in the semi‐arid Northwestern China. Hydrological Processes, 29(9): 2243-2257 [DOI: 10.1002/hyp.10365http://dx.doi.org/10.1002/hyp.10365 ]
Xia Y L, Sheffield J, Ek M B, Dong J R, Chaney N, Wei H L, Meng J and Wood E F . 2014. Evaluation of multi-model simulated soil moisture in NLDAS-2. Journal of Hydrology , (20): 95-101 [DOI: 10.1016/j.jhydrol.2014.02.027http://dx.doi.org/10.1016/j.jhydrol.2014.02.027 ]
Xu B D, Li J, Xin X Z, Zeng Y L and Yin G F . 2015. Review of methods for evaluating representativeness of ground station observation. Journal of Remote Sensing, 19(5): 703-718
徐保东, 李静, 柳钦火, 辛晓洲, 曾也鲁, 尹高飞 . 2015. 地面站点观测数据代表性评价方法研究进展. 遥感学报, 19(5): 703-718 [DOI:10.11834/jrs.20154178http://dx.doi.org/10.11834/jrs.20154178 ]
Yang G J, Weng Q H, Pu R L, Gao F, Sun C H, Li H and Zhao C J . 2016. Evaluation of ASTER-like daily land surface temperature by fusing ASTER and MODIS data during the HiWATER-MUSOEXE. Remote Sensing, 8(1): 75 [DOI: 10.3390/rs8010075http://dx.doi.org/10.3390/rs8010075 ]
Yang J X, SU H and Wang Y P . 2010. DisTrad Model for Thermal Sub-pixel Mapping in High Vegetation Area. Remote Sensing Technology Application, 25(3): 346-352
杨静学, 苏华, 王云鹏 . 2010. DisTrad热像元分解模型运用于高植被覆盖区的问题及改进. 遥感技术与应用, 25(3): 346-352 [DOI: 10.3724/SP.J.1087.2010.02819http://dx.doi.org/10.3724/SP.J.1087.2010.02819 ]
Yang Y T, Long D, Shang S H . 2013. Remote estimation of terrestrial evapotranspiration without using meteorological data. Geophysical Research Letters, 40: 3026-3030 [DOI: 10.1002/grl.50450http://dx.doi.org/10.1002/grl.50450 ]
Yang Y T, Shang S H and Jiang L . 2012. Remote sensing temporal and spatial patterns of evapotranspiration and the responses to water management in a large irrigation district of North China. Agricultural and Forest Meteorology, 164: 112-122 [DOI: 10.1016/j.agrformet.2012.05.011http://dx.doi.org/10.1016/j.agrformet.2012.05.011 ]
Zeng C, Long D, Shen H F, Wu P H, Cui Y K and Hong Y . 2018. A two-step framework for reconstructing remotely sensed land surface temperatures contaminated by cloud. ISPRS Journal of Photogrammetry and Remote Sensing, 141: 30-45 [DOI: 10.1016/j.isprsjprs.2018.04.005http://dx.doi.org/10.1016/j.isprsjprs.2018.04.005 ]
Zhang B, Li J S, Shen Q, Wu Y H, Zhang F F and Wang S L . 2019. Key Technologies and Systems of Surface Water Environment Monitoring by Remote Sensing. Environmental Monitoring in China, 35(4): 1-9
张兵, 李俊生, 申茜, 吴艳红, 张方方, 王胜蕾 . 2019. 地表水环境遥感监测关键技术与系.中国环境监测, 35(4): 1-9 [DOI:10.19316/j.issn.1002-6002.2019.04.01http://dx.doi.org/10.19316/j.issn.1002-6002.2019.04.01 ]
Zhang C H and Wang G Q . 2015. Water security, and hydroscience and technology in China: Focuses and frontiers. Scientia Sinica Technologica, 45(10): 1007-1012
张楚汉,王光谦 . 2015. 我国水安全和水利科技热点与前沿.中国科学:技术科学, 45(10):1007-1012 [DOI:10.1360/N092015-00131http://dx.doi.org/10.1360/N092015-00131 ]
Zhang J H, Xu Y, Yao F M, Wang P J, Guo W J, Li L and Yang L M . 2010. Advances in estimation methods of vegetation water content based on optical remote sensing techniques. Science China Technological Sciences, 40(10): 1121-1129
张佳华, 许云, 姚凤梅, 王培娟, 郭文娟, 李莉, YANG LiMin . 2010. 植被含水量光学遥感估算方法研究进展. 中国科学:技术科学, 40(10): 1121-1129 [DOI:10.1007/s11431-010-0131-3http://dx.doi.org/10.1007/s11431-010-0131-3 ]
Zhang K, Zhang K, Niu P T and Gao L . 2018. Research Progress of Water Quality Monitoring Technique Based on Remote Sensing. Modern Mining, 34(11): 171-174,202
张克, 张凯, 牛鹏涛, 高磊 . 2018. 遥感水质监测技术研究进展. 现代矿业, 34(11): 171-174,202 [DOI:10.3969/j.issn.1000-1123.2011.06.015http://dx.doi.org/10.3969/j.issn.1000-1123.2011.06.015 ]
Zhang L F, Peng M Y, Sun X J, Cen Y and Tong Q X . 2019. Progress and bibliometric analysis of remote sensing data fusion methods (1992—2018). Journal of Remote Sensing, 23(4): 600-616
张立福, 彭明媛, 孙雪剑, 岑奕, 童庆禧 . 2019. 遥感数据融合研究进展与文献定量分析(1992-2018). 遥感学报, 23(4): 600-616 [DOI:10.11834/jrs.20199073http://dx.doi.org/10.11834/jrs.20199073 ]
Zhang Y, Pan M and Wood E F . 2016. On creating global gridded terrestrial water budget estimates from satellite remote sensing. Surveys in Geophysics, 37: 249-268 [DOI: 10.1007/s10712-015-9354-yhttp://dx.doi.org/10.1007/s10712-015-9354-y ]
Zhu X L, Chen J, Gao F, Chen X H and Masek J G . 2010. An enhanced spatial and temporal adaptive reflectance fusion model for complex heterogeneous regions. Remote Sensing of Environment, 114(11): 2610-2623 [DOI: 10.1016/j.rse.2010.05.032http://dx.doi.org/10.1016/j.rse.2010.05.032 ]
Zhu Z and Shi C X . 2014. Simulation and evaluation of CLDAS and GLDAS soil moisture data in China. Science Technology and Engineering, 14(32): 138-144
朱智, 师春香 . 2014. 中国气象局陆面同化系统和全球陆面同化系统对中国区域土壤湿度的模拟与评估. 科学技术与工程, 14(32): 138-144 [DOI:10.3969/j.issn.1671-1815.2014.32.028http://dx.doi.org/10.3969/j.issn.1671-1815.2014.32.028 ]
Zhou Y D, He B Y, Kou J F, Liang S W, Hu S X and Hu K . 2006. Inversion of Lake Trophic Level Index in Wuhan Area Based on GF-1 Images. Resources and Environment in the Yangtze Basin, 27(6): 1307-1314
周亚东, 何报寅, 寇杰锋, 梁胜文, 胡世祥, 胡柯 . 2018. 基于GF-1 号遥感影像的武汉市及周边湖泊综合营养状态指数反演. 长江流域资源与环境, 27(6): 1307-1314 [DOI:10.11870/cjlyzyyhj201806014http://dx.doi.org/10.11870/cjlyzyyhj201806014 ]
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