地理学报 ›› 2017, Vol. 72 ›› Issue (11): 2093-2111.doi: 10.11821/dlxb201711013
• 遥感与GIS • 上一篇
收稿日期:
2017-01-10
修回日期:
2017-08-23
出版日期:
2017-11-20
发布日期:
2017-11-16
作者简介:
作者简介:吴炳方(1962-), 男, 江西玉山人, 博士, 研究员, 主要研究领域包括农业遥感与粮食安全、水资源遥感与耗水管理、生态遥感等。E-mail:
基金资助:
Received:
2017-01-10
Revised:
2017-08-23
Online:
2017-11-20
Published:
2017-11-16
Supported by:
摘要:
本文将遥感作为一种观测手段,通过梳理遥感从观测数据到数据产品的处理方法,分析了目标识别和参数提取所采用的方法、特点与存在的问题,发现遥感从观测数据到数据产品的过程至今仍未形成系统、科学的方法论,指出遥感方法论的建立需通过挖掘多源、多角度、多时相、多光谱、主被动协同的遥感观测数据隐含的深层指示性特征,加强结构化方法研究,构建新型的、可重复、易于处理且能够反映物理、化学、地学、生态学、生物学意义的遥感指标,以数据产品为导向发展多源协同遥感观测与分析处理方法,推动遥感从观测数据到数据产品的处理方法向标准化、结构化转变。
吴炳方, 张淼. 从遥感观测数据到数据产品[J]. 地理学报, 2017, 72(11): 2093-2111.
Bingfang WU, Miao ZHANG. Remote sensing: Observations to data products[J]. Acta Geographica Sinica, 2017, 72(11): 2093-2111.
表1
美国、欧洲和中国代表性遥感产品所用方法分类"
共性方法 | MODIS数据产品* | 欧空局哥白尼计划陆地数据产品 | GLASS数据产品 | |
---|---|---|---|---|
目标识别 | 云掩膜;雪覆盖;土地覆盖;热异常—火点;海冰覆盖;土地覆盖动态变化;火烧迹地 | 水体1;火烧迹地1; | ||
参数提取 | 遥感指数 | 植被指数(NDVI/EVI) | NDVI1;植被状况指数(VCI)1 | |
经验/半经验模型 | 总初级生产力(GPP)/净初级生产力(NPP); | VPI1;DMP(干物质生产力)1;地表温度(LST)n;Albedo1; | Albedon;裸土宽波段发射率n;长波净辐射n;净辐射n;潜热通量n;GPP n | |
物理模型 | 气溶胶;可降水量;云产品(云相、云光学厚度、有效云粒径、云顶温度、高度等);地表温度和比辐射率;大气剖面;LAI/FAPAR;蒸散发;Albedo/BRDF | LAI1;FAPAR1;fCover1;土壤水分1;反射率1 | LAIn;FAPARn;fCovern;植被区宽波段发射率n;下行短波辐射n;光合有效辐射n |
表2
全球不同LAI产品精度验证对比结果"
数据产品 | 植被类型 | 相对误差 | 均方根误差 | 文献 |
---|---|---|---|---|
MODIS Terra LAI | 混合类型1* | - | 1.07~2.08 (与有效LAI对比) 1.42 (与真实LAI对比) | [158-160] |
MODIS Aqua LAI | 混合类型1* | - | 1.74 (与有效LAI对比) 1.53 (与真实LAI对比) | [158] |
MODIS Terra & Aqua LAI | 农田 | 88% | 0.5~1.05 | [161] |
森林 | 35%~65% | - | [161] | |
草地 | 47% | - | [161] | |
混合类型2# | - | 1.29 (与有效LAI对比) 1.14 (与真实LAI对比) | [154] | |
混合类型1* | - | 1.63 (与有效LAI对比) 1.09 (与真实LAI对比) | [158] | |
VGT LAI | 农田 | 44% | 0.5~1.05 | [161] |
森林 | 25%~37% | - | [161] | |
草地 | 76% | - | [161] | |
CYCLOPES LAI | 混合类型2* | - | 0.73 (与有效LAI对比) 0.84 (与真实LAI对比) | [143] |
混合类型1* | - | 0.50~1.34 (与有效LAI对比) 0.97 (与真实LAI对比) | [158-159] | |
GLASS LAI | 混合类型1* | - | 0.78~0.87 | [159-160] |
[1] |
Elachi C, Van Zyl J J. Introduction to the Physics and Techniques of Remote Sensing. John Wiley & Sons, 2006.
doi: 10.1016/0012-8252(90)90074-6 |
[2] | Xu Xiru. Remote Sensing Physics.Beijing: Peking University Press, 2005. |
[徐希儒. 遥感物理. 北京: 北京大学出版社, 2005.] | |
[3] |
Lin Zhonghui, Mo Xingguo, Li Hongxuan, et al.Comparison of three spatial interpolation methods for climate variables in China. Acta Geographica Sinica, 2002, 57(1): 47-56.
doi: 10.3321/j.issn:0375-5444.2002.01.006 |
[林忠辉, 莫兴国, 李宏轩, 等. 中国陆地区域气象要素的空间插值. 地理学报, 2002, 57(1): 47-56.]
doi: 10.3321/j.issn:0375-5444.2002.01.006 |
|
[4] | Li Jun, You Songcai, Huang Jingfeng.Spatial interpolation method and spatial distribution characteristics of monthly mean temperature in China during 1961-2000. Ecology and Environment, 2006, 15(1): 109-114. |
[李军, 游松财, 黄敬峰. 中国1961-2000年月平均气温空间插值方法与空间分布. 生态环境, 2006, 15(1): 109-114.] | |
[5] |
Zhou Suoquan, Xue Genyuan, Zhou Lifeng, et al.The stepwise interpolation approach of precipitation for spatial analysis based on GIS. Acta Meteorologica Sinica, 2006, 64(1): 100-111.
doi: 10.3321/j.issn:0577-6619.2006.01.010 |
[周锁铨, 薛根元, 周丽峰, 等. 基于GIS降水空间分析的逐步插值方法. 气象学报, 2006, 64(1): 100-111.]
doi: 10.3321/j.issn:0577-6619.2006.01.010 |
|
[6] |
He Honglin, Yu Guirui, Liu Xin'an, et al. Study on spatialization technology of terrestrial eco-information in China (II): Solar radiation. Journal of Natural Resources, 2004, 19(5): 679-684.
doi: 10.11849/zrzyxb.2004.05.019 |
[何洪林, 于贵瑞, 刘新安, 等. 中国陆地生态信息空间化技术研究(Ⅱ): 太阳辐射要素. 自然资源学报, 2004, 19(5): 679-684.]
doi: 10.11849/zrzyxb.2004.05.019 |
|
[7] | Xiao Yu, Xie Gaodi, An Kai.Comparison of interpolation methods for content of soil available phosphor. Chinese Journal of Eco-Agriculture, 2003, 11(1): 56-58. |
[肖玉, 谢高地, 安凯. 土壤速效磷含量空间插值方法比较研究. 中国生态农业学报, 2003, 11(1): 56-58.] | |
[8] | Lambe T W.Soil testing for engineers. Soil Science, 1951, 72(5): 406. |
[9] |
Wu Bingfang, Xing Qiang.Remote sensing roles on driving science and major applications. Advances in Earth Science, 2015, 30(7): 751-762.
doi: 10.11867/j.issn.1001-8166.2015.07.0751 |
[吴炳方, 邢强. 遥感的科学推动作用与重点应用领域. 地球科学进展, 2015, 30(7): 751-762.]
doi: 10.11867/j.issn.1001-8166.2015.07.0751 |
|
[10] | Zhuang Jiayao, Zhang Jinchi, Su Jishen, et al.Improvement of the calculation accuracy about the amount of water discharge using an integral equation in hydrological experiments. Journal of Nanjing Forestry University (Natural Science Edition), 2008, 32(6): 147-150. |
[庄家尧, 张金池, 苏继申, 等. 水文观测中径流量计算精度的改进. 南京林业大学学报(自然科学版), 2008, 32(6): 147-150.] | |
[11] |
D'arrigo R, Villalba R, Wiles G. Tree-ring estimates of Pacific decadal climate variability. Climate Dynamics, 2001, 18(3/4): 219-224.
doi: 10.1007/s003820100177 |
[12] |
Li Miaomiao, Wu Bingfang, Yan Changzhen.Estimation of vegetation fraction in the upper basin of Miyun Reservoir by remote sensing. Resources Science, 2004, 26(4): 153-159.
doi: 10.3321/j.issn:1007-7588.2004.04.022 |
[李苗苗, 吴炳方, 颜长珍, 等. 密云水库上游植被覆盖度的遥感估算. 资源科学, 2004, 26(4): 153-159.]
doi: 10.3321/j.issn:1007-7588.2004.04.022 |
|
[13] |
Carlson T N, Ripley D A.On the relation between NDVI, fractional vegetation cover, and leaf area index. Remote sensing of Environment, 1997, 62(3): 241-252.
doi: 10.1016/S0034-4257(97)00104-1 |
[14] |
Chen J M, Cihlar J.Retrieving leaf area index of boreal conifer forests using Landsat TM images. Remote Sensing of Environment, 1996, 55(2): 153-162.
doi: 10.1016/0034-4257(95)00195-6 |
[15] |
Myneni R B, Hoffman S, Knyazikhin Y, et al.Global products of vegetation leaf area and fraction absorbed PAR from year one of MODIS data. Remote Sensing of Environment, 2002, 83(1): 214-231.
doi: 10.1016/S0034-4257(02)00074-3 |
[16] |
Chen Xueyang, Meng Jihua, Wu Bingfang, et al.Monitoring corn FPAR based on HJ-1 CCD. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2010, 26(Suppl): 241-245.
doi: 10.3969/j.issn.1002-6819.2010.z1.044 |
[陈雪洋, 蒙继华, 吴炳方, 等. 基于HJ-1 CCD 的夏玉米 FPAR 遥感监测模型. 农业工程学报, 2010, 26(增刊1): 241-245.]
doi: 10.3969/j.issn.1002-6819.2010.z1.044 |
|
[17] |
Dong T, Meng J, Shang J, et al.Modified vegetation indices for estimating crop fraction of absorbed photosynthetically active radiation. International Journal of Remote Sensing, 2015, 36(12): 3097-3113.
doi: 10.1080/01431161.2015.1042122 |
[18] |
Zhang X, Friedl M A, Schaaf C B, et al.Monitoring vegetation phenology using MODIS. Remote Sensing of Environment, 2003, 84(3): 471-475.
doi: 10.1016/S0034-4257(02)00135-9 |
[19] |
You X, Meng J, Zhang M, et al.Remote sensing based detection of crop phenology for agricultural zones in China using a new threshold method. Remote Sensing, 2013, 5(7): 3190-3211.
doi: 10.3390/rs5073190 |
[20] |
Zhang M, Wu B, Meng J.Quantifying winter wheat residue biomass with a spectral angle index derived from China Environmental Satellite data. International Journal of Applied Earth Observation and Geoinformation, 2014, 32: 105-113.
doi: 10.1016/j.jag.2014.03.020 |
[21] |
Meng J, Du X, Wu B.Generation of high spatial and temporal resolution NDVI and its application in crop biomass estimation. International Journal of Digital Earth, 2013, 6(3): 203-218.
doi: 10.1080/17538947.2011.623189 |
[22] |
Du X, Li Q, Dong T, et al.Winter wheat biomass estimation using high temporal and spatial resolution satellite data combined with a light use efficiency model. Geocarto International, 2015, 30(3): 258-269.
doi: 10.1080/10106049.2014.937467 |
[23] |
Thiemann S, Kaufmann H.Lake water quality monitoring using hyperspectral airborne data: A semiempirical multisensor and multitemporal approach for the Mecklenburg Lake District, Germany. Remote Sensing of Environment, 2002, 81(2): 228-237.
doi: 10.1016/S0034-4257(01)00345-5 |
[24] |
Lavery P, Pattiaratchi C, Wyllie A, et al.Water quality monitoring in estuarine waters using the Landsat Thematic Mapper. Remote Sensing of Environment, 1993, 46(3): 268-280.
doi: 10.1016/0034-4257(93)90047-2 |
[25] |
Wu B, Jiang L, Yan N, et al.Basin-wide evapotranspiration management: Concept and practical application in Hai Basin, China. Agricultural Water Management, 2014, 145: 145-153.
doi: 10.1016/j.agwat.2013.09.021 |
[26] |
Wu B, Yan N, Xiong J, et al.Validation of ETWatch using field measurements at diverse landscapes: A case study in Hai Basin of China. Journal of Hydrology, 2012, 436: 67-80.
doi: 10.1016/j.jhydrol.2012.02.043 |
[27] |
Sawaya K E, Olmanson L G, Heinert N J, et al.Extending satellite remote sensing to local scales: land and water resource monitoring using high-resolution imagery. Remote Sensing of Environment, 2003, 88(1): 144-156.
doi: 10.1016/j.rse.2003.04.006 |
[28] | Bastiaanssen W G M. Remote sensing in water resources management: The state of the art. International Water Management Institute, 1998. |
[29] |
Zhang L, Li X, Yuan Q, et al.Object-based approach to national land cover mapping using HJ satellite imagery. Journal of Applied Remote Sensing, 2014, 8(1): 083686-083686.
doi: 10.1117/1.JRS.8.083686 |
[30] |
Li Q, Wu B, Jia K, et al.Maize acreage estimation using ENVISAT MERIS and CBERS-02B CCD data in the North China Plain. Computers and Electronics in Agriculture, 2011, 78(2): 208-214.
doi: 10.1016/j.compag.2011.07.008 |
[31] |
Martin M E, Newman S D, Aber J D, et al.Determining forest species composition using high spectral resolution remote sensing data. Remote Sensing of Environment, 1998, 65(3): 249-254.
doi: 10.1016/S0034-4257(98)00035-2 |
[32] |
Wu B, Meng J, Li Q, et al.Remote sensing-based global crop monitoring: experiences with China's CropWatch system. International Journal of Digital Earth, 2014, 7(2): 113-137.
doi: 10.1080/17538947.2013.821185 |
[33] |
Wu B, Gommes R, Zhang M, et al.Global crop monitoring: A satellite-based hierarchical approach. Remote Sensing, 2015, 7(4): 3907-3933.
doi: 10.3390/rs70403907 |
[34] |
Doraiswamy P C, Hatfield J L, Jackson T J, et al.Crop condition and yield simulations using Landsat and MODIS. Remote Sensing of Environment, 2004, 92(4): 548-559.
doi: 10.1016/j.rse.2004.05.017 |
[35] |
Zhang M, Wu B, Yu M, et al.Crop condition assessment with adjusted NDVI using the uncropped arable land ratio. Remote Sensing, 2014, 6(6): 5774-5794.
doi: 10.3390/rs6065774 |
[36] |
Turner W, Spector S, Gardiner N, et al.Remote sensing for biodiversity science and conservation. Trends in Ecology & Evolution, 2003, 18(6): 306-314.
doi: 10.1016/S0169-5347(03)00070-3 |
[37] |
Tuanmu M N, Jetz W.A global, remote sensing-based characterization of terrestrial habitat heterogeneity for biodiversity and ecosystem modelling. Global Ecology and Biogeography, 2015.
doi: 10.1111/geb.12365 |
[38] |
Turner W.Sensing biodiversity. Science, 2014, 346(6207): 301-302.
doi: 10.1126/science.1256014 |
[39] |
Lunetta R S, Johnson D M, Lyon J G, et al.Impacts of imagery temporal frequency on land-cover change detection monitoring. Remote Sensing of Environment, 2004, 89(4): 444-454.
doi: 10.1016/j.rse.2003.10.022 |
[40] |
Ackerman S A, Strabala K I, Menzel W P, et al. Discriminating clear sky from clouds with MODIS. Journal of Geophysical Research, 1998, 103(D24): 32, 141-32, 157.
doi: 10.1029/1998JD200032 |
[41] |
Jiang Xingwei, Lin Mingsen, Zhang Youguang.Progress and prospect of Chinese ocean satellites. Journal of Remote Sensing, 2016, 20(5): 1185-1198.
doi: 10.11834/jrs.20166153 |
[蒋兴伟, 林明森, 张有广. 中国海洋卫星及应用进展. 遥感学报, 2016, 20(5): 1185-1198.]
doi: 10.11834/jrs.20166153 |
|
[42] | Liu Jiyuan, Zhang Zengxiang, Zhuang Dafang, et al.A study on the spatial-temporal dynamic changes of land-use and driving forces analyses of China in the 1990s. Geographical Research, 2003, 22(1): 1-12. |
[刘纪远, 张增祥, 庄大方, 等. 20世纪90年代中国土地利用变化时空特征及其成因分析. 地理研究, 2003, 22(1): 1-12.] | |
[43] |
Zhang Zengxiang, Wang Xiao, Wen Qingke, et al.Research progress of remote sensing application in land resources. Journal of Remote Sensing, 2016, 20(5): 1243-1258.
doi: 10.11834/jrs.20166149 |
[张增祥, 汪潇, 温庆可, 等. 土地资源遥感应用研究进展. 遥感学报, 2016, 20(5): 1243-1258.]
doi: 10.11834/jrs.20166149 |
|
[44] | Lv Xuefeng, Cheng Chengqi, Gong Jianya, et al.Review of data storage and management technologies for massive remote sensing data. Scientia Sinica Technologica, 2011, 41(12): 1561-1575. |
[吕雪锋, 程承旗, 龚健雅, 等. 海量遥感数据存储管理技术综述. 中国科学(技术科学), 2011, 41(12): 1561-1575.] | |
[45] |
Xie Y, Sha Z, Yu M.Remote sensing imagery in vegetation mapping: A review. Journal of Plant Ecology, 2008, 1(1): 9-23.
doi: 10.1093/jpe/rtm005 |
[46] |
Mountrakis G, Im J, Ogole C.Support vector machines in remote sensing: A review. ISPRS Journal of Photogrammetry and Remote Sensing, 2011, 66(3): 247-259.
doi: 10.1016/j.isprsjprs.2010.11.001 |
[47] |
Blaschke T.Object based image analysis for remote sensing. ISPRS Journal of Photogrammetry and Remote Sensing, 2010, 65(1): 2-16.
doi: 10.1016/j.isprsjprs.2009.06.004 |
[48] |
Wu Bingfang, Yuan Quanzhi, Yan Changzhen, et al.Land cover changes of China from 2000 to 2010. Quaternary Sciences, 2014, 34(4): 723-731.
doi: 10.3969/j.issn.1001-7410.2014.04.04 |
[吴炳方, 苑全治, 颜长珍, 等. 21世纪前十年的中国土地覆盖变化. 第四纪研究, 2014, 34(4): 723-731.]
doi: 10.3969/j.issn.1001-7410.2014.04.04 |
|
[49] |
Gong P, Wang J, Yu L, et al.Finer resolution observation and monitoring of global land cover: First mapping results with Landsat TM and ETM+ data. International Journal of Remote Sensing, 2013, 34(7): 2607-2654.
doi: 10.1080/01431161.2012.748992 |
[50] |
Chen J, Chen J, Liao A, et al.Global land cover mapping at 30 m resolution: A POK-based operational approach. ISPRS Journal of Photogrammetry and Remote Sensing, 2015, 103: 7-27.
doi: 10.1016/j.isprsjprs.2014.09.002 |
[51] |
Chen J, Ban Y, Li S.China: Open access to Earth land-cover map. Nature, 2014, 514(7523): 434-434.
doi: 10.1038/514434c pmid: 25341776 |
[52] |
Rogan J, Chen D M.Remote sensing technology for mapping and monitoring land-cover and land-use change. Progress in Planning, 2004, 61(4): 301-325.
doi: 10.1016/S0305-9006(03)00066-7 |
[53] |
Wardlow B D, Egbert S L.Large-area crop mapping using time-series MODIS 250 m NDVI data: An assessment for the US Central Great Plains. Remote Sensing of Environment, 2008, 112(3): 1096-1116.
doi: 10.1016/j.rse.2007.07.019 |
[54] |
Li Q, Cao X, Jia K, et al.Crop type identification by integration of high-spatial resolution multispectral data with features extracted from coarse-resolution time-series vegetation index data. International Journal of Remote Sensing, 2014, 35(16): 6076-6088.
doi: 10.1080/01431161.2014.943325 |
[55] |
Xiao X, Boles S, Frolking S, et al.Mapping paddy rice agriculture in South and Southeast Asia using multi-temporal MODIS images. Remote Sensing of Environment, 2006, 100(1): 95-113.
doi: 10.1016/j.rse.2005.10.004 |
[56] |
Jia K, Li Q, Tian Y, et al.Crop classification using multi-configuration SAR data in the North China Plain. International Journal of Remote Sensing, 2012, 33(1): 170-183.
doi: 10.1080/01431161.2011.587844 |
[57] |
Yu Q, Gong P, Clinton N, et al.Object-based detailed vegetation classification with airborne high spatial resolution remote sensing imagery. Photogrammetric Engineering & Remote Sensing, 2006, 72(7): 799-811.
doi: 10.14358/PERS.72.7.799 |
[58] |
Running S W, Loveland T R, Pierce L L, et al.A remote sensing based vegetation classification logic for global land cover analysis. Remote Sensing of Environment, 1995, 51(1): 39-48.
doi: 10.1016/0034-4257(94)00063-S |
[59] |
Agüera F, Aguilar F J, Aguilar M A.Using texture analysis to improve per-pixel classification of very high resolution images for mapping plastic greenhouses. ISPRS Journal of Photogrammetry and Remote Sensing, 2008, 63(6): 635-646.
doi: 10.1016/j.isprsjprs.2008.03.003 |
[60] |
Peña-Barragán J M, Ngugi M K, Plant R E, et al. Object-based crop identification using multiple vegetation indices, textural features and crop phenology. Remote Sensing of Environment, 2011, 115(6): 1301-1316.
doi: 10.1016/j.rse.2011.01.009 |
[61] |
Brusch S, Lehner S, Fritz T, et al.Ship surveillance with TerraSAR-X. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(3): 1092-1103.
doi: 10.1109/TGRS.2010.2071879 |
[62] |
Wackerman C C, Friedman K S, Pichel W G, et al.Automatic detection of ships in RADARSAT-1 SAR imagery. Canadian Journal of Remote Sensing, 2001, 27(5): 568-577.
doi: 10.1080/07038992.2001.10854879 |
[63] |
Eikvil L, Aurdal L, Koren H.Classification-based vehicle detection in high-resolution satellite images. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64(1): 65-72.
doi: 10.1016/j.isprsjprs.2008.09.005 |
[64] |
Tong Qingxi, Zhang Bing, Zhang Lifu.Current progress of hyperspectral remote sensing in China. Journal of Remote Sensing, 2016, 20(5): 689-707.
doi: 10.11834/jrs.20166264 |
[童庆禧, 张兵, 张立福. 中国高光谱遥感的前沿进展. 遥感学报, 2016, 20(5): 689-707.]
doi: 10.11834/jrs.20166264 |
|
[65] |
McNairn H, Champagne C, Shang J, et al. Integration of optical and Synthetic Aperture Radar (SAR) imagery for delivering operational annual crop inventories. ISPRS Journal of Photogrammetry and Remote Sensing, 2009, 64(5): 434-449.
doi: 10.1016/j.isprsjprs.2008.07.006 |
[66] |
Martinez J M, Le Toan T.Mapping of flood dynamics and spatial distribution of vegetation in the Amazon floodplain using multitemporal SAR data. Remote sensing of Environment, 2007, 108(3): 209-223.
doi: 10.1016/j.rse.2006.11.012 |
[67] |
Shao Y, Fan X, Liu H, et al.Rice monitoring and production estimation using multitemporal RADARSAT. Remote Sensing of Environment, 2001, 76(3): 310-325.
doi: 10.1016/S0034-4257(00)00212-1 |
[68] |
Herold M, Mayaux P, Woodcock C E, et al.Some challenges in global land cover mapping: An assessment of agreement and accuracy in existing 1 km datasets. Remote Sensing of Environment, 2008, 112(5): 2538-2556.
doi: 10.1016/j.rse.2007.11.013 |
[69] | Bontemps S, Defourney P, Van Bogaert E, et al.GLOBCOVER2009 Products Description and Validation Report. European Space Agency, Franscati, Italy, and Université catholique de Louvain, Louvain-la-Neuve, Belgium, 2010. |
[70] |
Bontemps S, Herold M, Kooistra L, et al.Revisiting land cover observation to address the needs of the climate modeling community. Biogeosciences, 2012, 9(6): 2145-2157.
doi: 10.5194/bgd-8-7713-2011 |
[71] | Mora B, Tsendbazar N E, Herold M, et al.Global land cover mapping: Current status and future trends//Land Use and Land Cover Mapping in Europe. Springer Netherlands, 2014: 11-30. |
[72] |
Manakos I, Chatzopoulos-Vouzoglanis K, Petrou Z I, et al.Globalland30 mapping capacity of land surface water in Thessaly, Greece. Land, 2014, 4(1): 1-18.
doi: 10.3390/land4010001 |
[73] |
Foody G M.Harshness in image classification accuracy assessment. International Journal of Remote Sensing, 2008, 29(11): 3137-3158.
doi: 10.1080/01431160701442120 |
[74] |
Hughes G.On the mean accuracy of statistical pattern recognizers. IEEE Transactions on Information Theory, 1968, 14(1): 55-63.
doi: 10.1109/TIT.1968.1054102 |
[75] |
Bellman R E. Adaptive Control Processes: A Guided Tour. Princeton University Press, 2015.
doi: 10.1002/nav.3800080314 |
[76] |
Tucker C J.Red and photographic infrared linear combinations for monitoring vegetation. Remote Sensing of Environment, 1979, 8(2): 127-150.
doi: 10.1016/0034-4257(79)90013-0 |
[77] |
Huete A R.A soil-adjusted vegetation index (SAVI). Remote Sensing of Environment, 1988, 25(3): 295-309.
doi: 10.1016/0034-4257(88)90106-X |
[78] |
Richardson A J, Weigand C L.Distinguishing Vegetation from Soil Background Information. Photogrammetric Engineering and Remote Sensing, 1977, 43(12): 1541-1552.
doi: 10.1109/TGE.1977.294499 |
[79] | Zhang Miao, Li Qiangzi, Meng Jihua, et al.Review of crop residue fractional cover monitoring with remote sensing. Spectroscopy and Spectral Analysis, 2011, 31(12): 3200-3205. |
[张淼, 李强子, 蒙继华, 等. 作物残茬覆盖度遥感监测研究进展. 光谱学与光谱分析, 2011, 31(12): 3200-3205.] | |
[80] | Kim M S, Daughtry C S T, Chappelle E W, et al. The use of high spectral resolution bands for estimating absorbed photosynthetically active radiation (APAR)//Proceedings of 6th International Symposium on Physical Measurements and Signatures in Remote Sensing, France, 1994: 299-306. |
[81] |
Kogan F N.Remote sensing of weather impacts on vegetation in non-homogeneous areas. International Journal of Remote Sensing, 1990, 11(8): 1405-1419.
doi: 10.1080/01431169008955102 |
[82] |
Yan N, Wu B, Boken V K, et al.A drought monitoring operational system for China using satellite data: Design and evaluation. Geomatics, Natural Hazards and Risk, 2016, 7(1): 264-277.
doi: 10.1080/19475705.2014.895964 |
[83] |
Chen Xiuzhi, Su Yongxian, Li Yong, et al.Monitoring drought dynamics of China using passive microwave remote sensing technology. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2013, 29(16): 151-158.
doi: 10.3969/j.issn.1002-6819.2013.16.019 |
[陈修治, 苏泳娴, 李勇, 等. 基于被动微波遥感的中国干旱动态监测. 农业工程学报, 2013, 29(16): 151-158.]
doi: 10.3969/j.issn.1002-6819.2013.16.019 |
|
[84] |
Zhang A, Jia G.Monitoring meteorological drought in semiarid regions using multi-sensor microwave remote sensing data. Remote Sensing of Environment, 2013, 134: 12-23.
doi: 10.1016/j.rse.2013.02.023 |
[85] |
Zhang L, Liu B, Zhang B, et al.An evaluation of the effect of the spectral response function of satellite sensors on the precision of the universal pattern decomposition method. International Journal of Remote Sensing, 2010, 31(8): 2083-2090.
doi: 10.1080/01431160903246675 |
[86] |
Huang W, Guan Q, Luo J, et al.New optimized spectral indices for identifying and monitoring winter wheat diseases. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2014, 7(6): 2516-2524.
doi: 10.1109/JSTARS.2013.2294961 |
[87] |
Li F, Zeng Y, Luo J, et al.Modeling grassland aboveground biomass using a pure vegetation index. Ecological Indicators, 2016, 62: 279-288.
doi: 10.1016/j.ecolind.2015.11.005 |
[88] |
Zeng Hongwei, Wu Bingfang, Zou Wentao, et al.Performance comparison of crop condition assessments in irrigated and rain-fed areas: A case study in Nebraska. Journal of Remote Sensing, 2015, 19(4): 560-567.
doi: 10.11834/jrs.20154144 |
[曾红伟, 吴炳方, 邹文涛, 等. 灌溉区与雨养区作物长势差异比较分析: 以美国内布拉斯加为例. 遥感学报, 2015, 19(4): 560-567.]
doi: 10.11834/jrs.20154144 |
|
[89] |
Sannier C A D, Taylor J C, Du Plessis W, et al. Real-time vegetation monitoring with NOAA-AVHRR in Southern Africa for wildlife management and food security assessment. International Journal of Remote Sensing, 1998, 19(4): 621-639.
doi: 10.1080/014311698215892 |
[90] |
Fratter I, Léger J M, Bertrand F, et al.Swarm absolute scalar magnetometers first in-orbit results. Acta Astronautica, 2016, 121: 76-87.
doi: 10.1016/j.actaastro.2015.12.025 |
[91] |
Van der Meer F D, Van der Werff H M A, van Ruitenbeek F J A, et al. Multi-and hyperspectral geologic remote sensing: A review. International Journal of Applied Earth Observation and Geoinformation, 2012, 14(1): 112-128.
doi: 10.1016/j.jag.2011.08.002 |
[92] |
Rojas O, Vrieling A, Rembold F.Assessing drought probability for agricultural areas in Africa with coarse resolution remote sensing imagery. Remote Sensing of Environment, 2011, 115(2): 343-352.
doi: 10.1016/j.rse.2010.09.006 |
[93] | European Organization for the Exploitation of Meteorological Satellites (EUMETSAT), 2009, Best practices for RGB compositing of multi-spectral imagery. User Service Division, EUMETSAT, Darmstadt, Germany. . |
[94] |
Fensholt R, Rasmussen K, Nielsen T T, et al.Evaluation of earth observation based long term vegetation trends: Intercomparing NDVI time series trend analysis consistency of Sahel from AVHRR GIMMS, Terra MODIS and SPOT VGT data. Remote Sensing of Environment, 2009, 113(9): 1886-1898.
doi: 10.1016/j.rse.2009.04.004 |
[95] |
Fensholt R, Proud S R.Evaluation of earth observation based global long term vegetation trends: Comparing GIMMS and MODIS global NDVI time series. Remote sensing of Environment, 2012, 119: 131-147.
doi: 10.1016/j.rse.2011.12.015 |
[96] |
Fang H L, Liang S L.Retrieving leaf area index with a neural network method: Simulation and validation. IEEE Transactions on Geoscience and Remote Sensing, 2003, 41(9): 2052-2062.
doi: 10.1109/TGRS.2003.813493 |
[97] |
Zheng G, Moskal L M.Retrieving leaf area index (LAI) using remote sensing: Theories, methods and sensors. Sensors, 2009, 9(4): 2719-2745.
doi: 10.3390/s90402719 pmid: 22574042 |
[98] |
Breunig F M, Galvão L S, Formaggio A R, et al.Directional effects on NDVI and LAI retrievals from MODIS: A case study in Brazil with soybean. International Journal of Applied Earth Observation and Geoinformation, 2011, 13(1): 34-42.
doi: 10.1016/j.jag.2010.06.004 |
[99] |
Cristiano P M, Posse G, Di Bella C M, et al. Uncertainties in FPAR estimation of grass canopies under different stress situations and differences in architecture. International Journal of Remote Sensing, 2010, 31(15): 4095-4109.
doi: 10.1080/01431160903229192 |
[100] |
Lu D.The potential and challenge of remote sensing-based biomass estimation. International Journal of Remote Sensing, 2006, 27(7): 1297-1328.
doi: 10.1080/01431160500486732 |
[101] |
Zhao Tiange, Yu Ruihong, Zhang Zhilei, et al.Estimation of wetland vegetation aboveground biomass based on remote sensing data: A review. Chinese Journal of Ecology, 2016, 35(7): 1936-1946.
doi: 10.13292/j.1000-4890.201607.028 |
[赵天舸, 于瑞宏, 张志磊, 等. 湿地植被地上生物量遥感估算方法研究进展. 生态学杂志, 2016, 35(7): 1936-1946.]
doi: 10.13292/j.1000-4890.201607.028 |
|
[102] |
Zolkos S G, Goetz S J, Dubayah R.A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing. Remote Sensing of Environment, 2013, 128: 289-298.
doi: 10.1016/j.rse.2012.10.017 |
[103] |
Chave J, Réjou-Méchain M, Búrquez A, et al.Improved allometric models to estimate the aboveground biomass of tropical trees. Global Change Biology, 2014, 20(10): 3177-3190.
doi: 10.1111/gcb.12629 pmid: 24817483 |
[104] |
Le Toan T, Quegan S, Davidson M W J, et al. The BIOMASS mission: Mapping global forest biomass to better understand the terrestrial carbon cycle. Remote Sensing of Environment, 2011, 115(11): 2850-2860.
doi: 10.1016/j.rse.2011.03.020 |
[105] | Li Zengyuan, Liu Qingwang, Pang Yong.Review on forest parameters inversion using LiDAR. Journal of Remote Sensing, 2016, 20(5): 1138-1150. |
[李增元, 刘清旺, 庞勇. 激光雷达森林参数反演研究进展. 遥感学报, 2016, 20(5): 1138-1150.] | |
[106] |
Pang Yong, Zhao Feng, Li Zengyuan, et al.Forest height inversion using airborne Lidar technology. Journal of Remote Sensing, 2008, 12(1): 152-158.
doi: 10.11834/jrs.20080120 |
[庞勇, 赵峰, 李增元, 等. 机载激光雷达平均树高提取研究. 遥感学报, 2008, 12(1): 152-158.]
doi: 10.11834/jrs.20080120 |
|
[107] |
Moussavi M S, Abdalati W, Scambos T, et al.Applicability of an automatic surface detection approach to micro-pulse photon-counting Lidar altimetry data: Implications for canopy height retrieval from future ICESat-2 data. International Journal of Remote Sensing, 2014, 35(13): 5263-5279.
doi: 10.1080/01431161.2014.939780 |
[108] |
Gitelson A A, Viña A, Ciganda V, et al.Remote estimation of canopy chlorophyll content in crops. Geophysical Research Letters, 2005, 32(8): L08403.
doi: 10.1029/2005GL022688 |
[109] | Filella I, Penuelas J.The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status. International Journal of Remote Sensing, 1994, 15(7): 1459-1470. |
[110] |
Ceccato P, Gobron N, Flasse S, et al.Designing a spectral index to estimate vegetation water content from remote sensing data: Part 1: Theoretical approach. Remote Sensing of Environment, 2002, 82(2): 188-197.
doi: 10.1016/S0034-4257(02)00037-8 |
[111] |
Liu L, Wang J, Huang W, et al.Estimating winter wheat plant water content using red edge parameters. International Journal of Remote Sensing, 2004, 25(17): 3331-3342.
doi: 10.1080/01431160310001654365 |
[112] |
Jackson T J, Chen D, Cosh M, et al.Vegetation water content mapping using Landsat data derived normalized difference water index for corn and soybeans. Remote Sensing of Environment, 2004, 92(4): 475-482.
doi: 10.1016/j.rse.2003.10.021 |
[113] |
Chen Shulin, Liu Yuanbo, Wen Zuomin.Satellite retrieval of soil moisture: An overview. Advances in Earth Science, 2012, 27(11): 1192-1203.
doi: 10.11867/j.issn.1001-8166.2012.11.1192 |
[陈书林, 刘元波, 温作民. 卫星遥感反演土壤水分研究综述. 地球科学进展, 2012, 27(11): 1192-1203.]
doi: 10.11867/j.issn.1001-8166.2012.11.1192 |
|
[114] |
Martin M E, Aber J D.High spectral resolution remote sensing of forest canopy lignin, nitrogen, and ecosystem processes. Ecological applications, 1997, 7(2): 431-443.
doi: 10.1890/1051-0761(1997)007[0431:HSRRSO]2.0.CO;2 |
[115] |
Hansen P M, Schjoerring J K.Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression. Remote Sensing of Environment, 2003, 86(4): 542-553.
doi: 10.1016/S0034-4257(03)00131-7 |
[116] |
Shi J, Wang J, Hsu A Y, et al.Estimation of bare surface soil moisture and surface roughness parameter using L-band SAR image data. IEEE Transactions on Geoscience and Remote Sensing, 1997, 35(5): 1254-1266.
doi: 10.1109/36.628792 |
[117] |
Schmugge T, O'Neill P E, Wang J R. Passive microwave soil moisture research. IEEE Transactions on Geoscience and Remote Sensing, 1986(1): 12-22.
doi: 10.1109/TGRS.1986.289584 |
[118] |
Becker-Reshef I, Vermote E, Lindeman M, et al.A generalized regression-based model for forecasting winter wheat yields in Kansas and Ukraine using MODIS data. Remote Sensing of Environment, 2010, 114(6): 1312-1323.
doi: 10.1016/j.rse.2010.01.010 |
[119] |
Wang K, Wang P, Li Z, et al.A simple method to estimate actual evapotranspiration from a combination of net radiation, vegetation index, and temperature. Journal of Geophysical Research (Atmospheres), 2007, 112(D11): 15107.
doi: 10.1029/2006JD008351 |
[120] | Zhang Guoqing, Xie Hongjie, Yao Tandong, et al.Water balance estimates of ten greatest lakes in China using ICESat and Landsat data. China Science Bulletin, 2013, 58(26): 2664-2678. |
[张国庆, Xie Hongjie, 姚檀栋, 等. 基于 ICESat 和 Landsat 的中国十大湖泊水量平衡估算. 科学通报, 2013, 58(26): 2664-2678.] | |
[121] |
Purevdorj T S, Tateishi R, Ishiyama T, et al.Relationships between percent vegetation cover and vegetation indices. International Journal of Remote Sensing, 1998, 19(18): 3519-3535.
doi: 10.1080/014311698213795 |
[122] |
Galvão L S, Roberts D A, Formaggio A R, et al.View angle effects on the discrimination of soybean varieties and on the relationships between vegetation indices and yield using off-NADIR hyperion data. Remote Sensing of Environment, 2009, 113(4): 846-856.
doi: 10.1016/j.rse.2008.12.010 |
[123] |
Hatfield J L, Prueger J H.Value of using different vegetative indices to quantify agricultural crop characteristics at different growth stages under varying management practices. Remote Sensing, 2010, 2(2): 562-578.
doi: 10.3390/rs2020562 |
[124] |
Jin Yaqiu.Data analysis of the spaceborne SSM/I over crop areas of the northern China. Journal of Remote Sensing, 1998, 2(1): 19-25.
doi: 10.1088/0256-307X/15/12/025 |
[金亚秋. 星载微波SSM/I 遥感在中国东北华北农田的辐射特征分析. 遥感学报, 1998, 2(1): 19-25.]
doi: 10.1088/0256-307X/15/12/025 |
|
[125] |
Matzler C.Seasonal evolution of microwave radiation from an oat field. Remote Sensing of Environment, 1990, 31(3): 161-173.
doi: 10.1016/0034-4257(90)90086-2 |
[126] | Zhao Yingshi.Principles and Methods of Remote Sensing Application Analysis. Beijing: Science Press, 2003. |
[赵英时, 等. 遥感应用分析原理与方法.北京:科学出版社, 2003.] | |
[127] | Baret F, Guyot G.Potentials and limits of vegetation indices for LAI and APAR assessment. Remote Sensing of Environment, 1991, 35(2/3): 161-173. |
[128] |
Combal B, Baret F, Weiss M, et al.Retrieval of canopy biophysical variables from bidirectional reflectance using prior information to solve the ill-posed inverse problem. Remote Sensing of Environment, 2002, 84: 1-15.
doi: 10.1016/S0034-4257(02)00035-4 |
[129] | Li Xiaowen, Wang Jindi, Hu Baoxin, et al.The role of prior knowledge in remote sensing inversion. Science in China (Series D), 1998, 28(1): 67-72. |
[李小文, 王锦地, 胡宝新, 等. 先验知识在遥感反演中的作用. 中国科学(D辑), 1998, 28(1): 67-72.] | |
[130] |
Li X, Strahler A H.Geometric-optical modeling of a conifer forest canopy. IEEE Transactions on Geoscience and Remote Sensing, 1985(5): 705-721.
doi: 10.1109/TGRS.1985.289389 |
[131] |
Li X, Strahler A H.Geometric-optical bidirectional reflectance modeling of the discrete crown vegetation canopy: Effect of crown shape and mutual shadowing. IEEE Transactions on Geoscience and Remote Sensing, 1992, 30(2): 276-292.
doi: 10.1109/36.134078 |
[132] |
Zhao Xiang, Liu Suhong, Tang Yimin, et al.Study on multi-stage robust estimation of BRDF model parameters. Journal of Remote Sensing, 2006, 10(6): 901-909.
doi: 10.3321/j.issn:1007-4619.2006.06.011 |
[赵祥, 刘素红, 唐义闵, 等. BRDF模型参数分阶段鲁棒性反演方法. 遥感学报, 2006, 10(6): 901-909.]
doi: 10.3321/j.issn:1007-4619.2006.06.011 |
|
[133] |
Qu Yonghua, Wang Jindi, Liu Suhong, et al.Study on hybrid inversion scheme under Bayesian Network. Journal of Remote Sensing, 2006, 10(1): 6-14.
doi: 10.11834/jrs.20060102 |
[屈永华, 王锦地, 刘素红, 等. 贝叶斯网络支持的地表参数混合反演模式研究. 遥感学报, 2006, 10(1): 6-14.]
doi: 10.11834/jrs.20060102 |
|
[134] |
Fernandes R, Miller J R, Hu B, et al.A multi-scale approach to mapping effective leaf area index in boreal Picea mariana stands using high spatial resolution CASI imagery. International Journal of Remote Sensing, 2002, 23(18): 3547-3568.
doi: 10.1080/01431160110118688 |
[135] |
Trombetti M, Riaño D, Rubio M A, et al.Multi-temporal vegetation canopy water content retrieval and interpretation using artificial neural networks for the continental USA. Remote Sensing of Environment, 2008, 112(1): 203-215.
doi: 10.1016/j.rse.2007.04.013 |
[136] |
Verrelst J, Romijn E, Kooistra L.Mapping vegetation density in a heterogeneous river floodplain ecosystem using pointable CHRIS/PROBA data. Remote Sensing, 2012, 4(9): 2866-2889.
doi: 10.3390/rs4092866 |
[137] |
Goel N S, Thompson R L.Inversion of vegetation canopy reflectance models for estimating agronomic variables. V. Estimation of leaf area index and average leaf angle using measured canopy reflectances. Remote Sensing of Environment, 1984, 16(1): 69-85.
doi: 10.1016/0034-4257(84)90028-2 |
[138] |
Baret F, Hagolle O, Geiger B, et al.LAI, fAPAR and fCover CYCLOPES global products derived from VEGETATION: Part 1: Principles of the algorithm. Remote Sensing of Environment, 2007, 110(3): 275-286.
doi: 10.1016/j.rse.2007.02.018 |
[139] |
Kerr Y H, Waldteufel P, Richaume P, et al.The SMOS soil moisture retrieval algorithm. IEEE Transactions on Geoscience and Remote Sensing, 2012, 50(5): 1384-1403.
doi: 10.1109/TGRS.2012.2184548 |
[140] |
Vohland M, Mader S, Dorigo W.Applying different inversion techniques to retrieve stand variables of summer barley with Prospect+Sail. International Journal of Applied Earth Observation and Geoinformation, 2010, 12(2): 71-80.
doi: 10.1016/j.jag.2009.10.005 |
[141] |
Darvishzadeh R, Matkan A A, Ahangar A D.Inversion of a radiative transfer model for estimation of rice canopy chlorophyll content using a Lookup-Table approach. Selected Topics in Applied Earth Observations and Remote Sensing, IEEE Journal of, 2012, 5(4): 1222-1230.
doi: 10.1109/JSTARS.2012.2186118 |
[142] |
Atzberger C.Object-based retrieval of biophysical canopy variables using artificial neural nets and radiative transfer models. Remote Sensing of Environment, 2004, 93(1/2): 53-67.
doi: 10.1016/j.rse.2004.06.016 |
[143] |
Fang H, Liang S, Kuusk A.Retrieving leaf area index using a genetic algorithm with a canopy radiative transfer model. Remote Sensing of Environment, 2003, 85(3): 257-270.
doi: 10.1016/S0034-4257(03)00005-1 |
[144] |
Weiss M, Baret F, Garrigues S, et al.LAI and Fapar Cyclopes Global Products derived from vegetation (Part 2): Validation and comparison with MODIS Collection 4 Products. Remote Sensing of Environment, 2007, 110(3): 317-331.
doi: 10.1016/j.rse.2007.03.001 |
[145] |
Gao B C, Kaufman Y J.Water vapor retrievals using Moderate Resolution Imaging Spectroradiometer (MODIS) near-infrared channels. Journal of Geophysical Research: Atmospheres, 2003, 108(D13).
doi: 10.1029/2002JD003023 |
[146] |
Domenech C, Wehr T.Use of artificial neural networks to retrieve TOA SW radiative fluxes for the EarthCARE mission. IEEE Transactions on Geoscience and Remote Sensing, 2011, 49(6): 1839-1849.
doi: 10.1109/TGRS.2010.2102768 |
[147] |
Barker H W, Jerg M P, Wehr T, et al.A 3D cloud-construction algorithm for the EarthCARE satellite mission. Quarterly Journal of the Royal Meteorological Society, 2011, 137(657): 1042-1058.
doi: 10.1002/qj.824 |
[148] |
Illingworth A J, Barker H W, Beljaars A, et al.The EarthCARE satellite: The next step forward in global measurements of clouds, aerosols, precipitation, and radiation. Bulletin of the American Meteorological Society, 2015, 96(8): 1311-1332.
doi: 10.1175/BAMS-D-12-00227.1 |
[149] |
Font J, Lagerloef G S E, Le Vine D M, et al. The determination of surface salinity with the European SMOS space mission. IEEE Transactions on Geoscience and Remote Sensing, 2004, 42(10): 2196-2205.
doi: 10.1109/TGRS.2004.834649 |
[150] |
Drinkwater M R, Francis R, Ratier G, et al.The European Space Agency's earth explorer mission CryoSat: Measuring variability in the cryosphere. Annals of Glaciology, 2004, 39(1): 313-320.
doi: 10.3189/172756404781814663 |
[151] |
Fensholt R, Sandholt I, Rasmussen M S.Evaluation of MODIS LAI, fAPAR and the relation between fAPAR and NDVI in a semi-arid environment using in situ measurements. Remote Sensing of Environment, 2004, 91(3): 490-507.
doi: 10.1016/j.rse.2004.04.009 |
[152] |
Yin X, Boutin J, Dinnat E, et al.Roughness and foam signature on SMOS-MIRAS brightness temperatures: A semi-theoretical approach. Remote Sensing of Environment, 2016, 180: 221-233.
doi: 10.1016/j.rse.2016.02.005 |
[153] |
Liu Shufu, Xiong Jun, Wu Bingfang.ETWatch: A method of multi-resolution ET data fusion. Journal of Remote Sensing, 2011, 15(2): 255-269.
doi: 10.11834/jrs.20110299 |
[柳树福, 熊隽, 吴炳方. ETWatch 中不同尺度蒸散融合方法. 遥感学报, 2011, 15(2): 255-269.]
doi: 10.11834/jrs.20110299 |
|
[154] |
Bisht G, Venturini V, Islam S, et al.Estimation of the net radiation using MODIS (Moderate Resolution Imaging Spectroradiometer) data for clear sky days. Remote Sensing of Environment, 2005, 97(1): 52-67.
doi: 10.1016/j.rse.2005.03.014 |
[155] |
Zhu W, Wu B, Yan N, et al.A method to estimate diurnal surface soil heat flux from MODIS data for a sparse vegetation and bare soil. Journal of Hydrology, 2014, 511: 139-150.
doi: 10.1016/j.jhydrol.2014.01.019 |
[156] | Li Xiaowen, Wang Yeiting.Prospects on future development of quantitative remote sensing. Acta Geographica Sinica, 2013, 68(9): 1163-1169. |
[李小文, 王祎婷. 定量遥感尺度效应刍议. 地理学报, 2013, 68(9): 1163-1169.] | |
[157] | Ming Dongping, Wang Qun, Yang Jianyu.Spatial scale of remote sensing image and selection of optimal spatial resolution. Journal of Remote Sensing, 2008, 12(4): 529-537. |
[明冬萍, 王群, 杨建宇. 遥感影像空间尺度特性与最佳空间分辨率选择. 遥感学报, 2008, 12(4): 529-537.] | |
[158] |
Fang H, Wei S, Liang S.Validation of MODIS and CYCLOPES LAI products using global field measurement data. Remote Sensing of Environment, 2012, 119: 43-54.
doi: 10.1016/j.rse.2011.12.006 |
[159] |
Xiao Z, Liang S, Wang J, et al.Use of general regression neural networks for generating the GLASS leaf area index product from time-series MODIS surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, 2014, 52(1): 209-223.
doi: 10.1109/TGRS.2013.2237780 |
[160] |
Xiao Z, Liang S, Wang J, et al.Long-time-series global land surface satellite leaf area index product derived from MODIS and AVHRR surface reflectance. IEEE Transactions on Geoscience and Remote Sensing, 2016, 54(9): 5301-5318.
doi: 10.1109/TGRS.2016.2560522 |
[161] |
Pisek J, Chen J M.Comparison and validation of MODIS and VEGETATION global LAI products over four BigFoot sites in North America. Remote Sensing of Environment, 2007, 109(1): 81-94.
doi: 10.1016/j.rse.2006.12.004 |
[162] |
Guo Ruifang, Liu Yuanbo.Multi-satellite retrieval of high resolution precipitation: An overview. Advances in Earth Science, 2015, 30(8): 891-903.
doi: 10.11867/j.issn.1001-8166.2015.08.0891 |
[郭瑞芳, 刘元波. 多传感器联合反演高分辨率降水方法综述. 地球科学进展, 2015, 30(8): 891-903.
doi: 10.11867/j.issn.1001-8166.2015.08.0891 |
|
[163] |
Wu Bingfang, Xiong Jun, Yan Nana.ETWatch: Models and methods. Journal of Remote Sensing, 2011, 15(2): 224-239.
doi: 10.11834/jrs.20110297 |
[吴炳方, 熊隽, 闫娜娜. ETWatch的模型与方法. 遥感学报, 2011, 15(2): 224-239.]
doi: 10.11834/jrs.20110297 |
|
[164] |
Wu B, Liu S, Zhu W, et al.An improved approach for estimating daily net radiation over the Heihe River Basin. Sensors, 2017, 17(1). doi: 10. 3390/s17010086.
doi: 10.3390/s17010086 pmid: 28054976 |
[165] |
Feng X, Wu B, Yan N.A method for deriving the boundary layer mixing height from MODIS atmospheric profile data. Atmosphere, 2015, 6(9): 1346-1361.
doi: 10.3390/atmos6091346 |
[166] |
Wu B, Xing Q, Yan N, et al.A linear relationship between temporal multiband MODIS BRDF and aerodynamic roughness in HIWATER Wind Gradient data. IEEE Geoscience and Remote Sensing Letters, 2015, 12(3): 507-511.
doi: 10.1109/LGRS.2014.2348074 |
[167] |
Zhuang Q, Wu B, Yan N, et al.A method for sensible heat flux model parameterization based on radiometric surface temperature and environmental factors without involving the parameter KB-1. International Journal of Applied Earth Observation and Geoinformation, 2016, 47: 50-59.
doi: 10.1016/j.jag.2015.11.015 |
[168] | Land Cover Atlas of the People's Republic of China 1:1 000 000 Steering Committee Land Cover Atlas of the People's Republic of China 1:1 000 000. Beijing: SinoMaps Press, 2017. |
[《中华人民共和国土地覆被地图集》编辑委员会. 中华人民共和国土地覆被地图集(1: 1 000 000). 北京: 中国地图出版社, 2017.] | |
[169] |
Hansen M C, Potapov P V, Moore R, et al.High-resolution global maps of 21st-century forest cover change. Science, 2013, 342(6160): 850-853.
doi: 10.1126/science.1244693 pmid: 24233722 |
[170] | Wang Hao, Lu Shanlong, Wu Bingfang, et al.Advances in remote sensing of impervious surfaces extraction and its applications. Advances in Earth Science, 2012, 28(3): 327-336. |
[王浩, 卢善龙, 吴炳方, 等. 不透水面遥感提取及应用研究进展. 地球科学进展, 2012, 28(3): 327-336.] | |
[171] |
Xu Hanqiu, Wang Meiya.Remote sensing-based retrieval of ground impervious surfaces. Journal of Remote Sensing, 2016, 20(5): 1270-1289.
doi: 10.11834/jrs.20166210 |
[徐涵秋, 王美雅. 地表不透水面信息遥感的主要方法分析. 遥感学报, 2016, 20(5): 1270-1289.]
doi: 10.11834/jrs.20166210 |
|
[172] | Zhang Miao, Wu Bingfang, Yu Mingzhao, et al.Concepts and implementation of monthly monitoring of uncropped arable land: A case study in Nebraska. Journal of Remote Sensing, 2015, 19(4): 550-559. |
[张淼, 吴炳方, 于名召, 等. 未种植耕地动态变化遥感识别: 以阿根廷为例. 遥感学报, 2015, 19(4): 550-559.] | |
[173] | Wu Bingfang, Zhang Miao, Zeng Hongwei, et al.Agricultural monitoring and early warning in the era of big data. Journal of Remote Sensing, 2016, 20(5): 1027-1037. |
[吴炳方, 张淼, 曾红伟, 等. 大数据时代的农情监测与预警. 遥感学报, 2016, 20(5): 1027-1037.] | |
[174] | He Guojin, Wang Lizhe, Ma Ya, et al.Processing of earth observation big data: Challenges and countermeasures. Chinese Science Bulletin, 2015, 60(5/6): 470-478. |
[何国金, 王力哲, 马艳, 等. 对地观测大数据处理: 挑战与思考. 科学通报, 2015, 60(5/6): 470-478.] | |
[175] |
Bengio Y.Learning deep architectures for AI. Foundations and Trends in Machine Learning, 2009, 2(1): 1-127.
doi: 10.1561/2200000006 |
[176] |
Schmidhuber J.Deep learning in neural networks: An overview. Neural Networks, 2015, 61: 85-117.
doi: 10.1016/j.neunet.2014.09.003 pmid: 25462637 |
[177] |
Russakovsky O, Deng J, Su H, et al.Imagenet large scale visual recognition challenge. International Journal of Computer Vision, 2015, 115(3): 211-252.
doi: 10.1007/s11263-015-0816-y |
[178] |
Russakovsky O, Deng J, Huang Z, et al.Detecting avocados to zucchinis: What have we done, and where are we going?//Proceedings of the IEEE International Conference on Computer Vision, 2013: 2064-2071.
doi: 10.1109/ICCV.2013.258 |
[179] | Deng J, Russakovsky O, Krause J, et al.Scalable multi-label annotation//Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 2014: 3099-3102. |
[180] | Google Earth Engine Team. Google Earth Engine: A planetary-scale geospatial analysis platform. , 2015. |
[181] |
Dong J, Xiao X, Zhang G, et al.Northward expansion of paddy rice in northeastern Asia during 2000-2014. Geophysical Research Letters, 2016, 43(8): 3754-3761.
doi: 10.1002/2016GL068191 pmid: 5033055 |
[182] |
Li Deren, Zhang Liangpei, Xia Guisong.Automatic analysis and mining of remote sensing big data. Acta Geodaetica et Cartographia Sinica, 2014, 43(12): 1211-1216.
doi: 10.13485/j.cnki.11-2089.2014.0187 |
[李德仁, 张良培, 夏桂松. 遥感大数据自动分析与数据挖掘. 测绘学报, 2014, 43(12): 1211-1216.]
doi: 10.13485/j.cnki.11-2089.2014.0187 |
|
[183] | Wu Bingfang, Gao Feng, He Guojin, et al.Big data on global changes: Data sharing platform and recognition. Journal of Remote Sensing, 2016, 20(6): 1479-1484. |
[吴炳方, 高峰, 何国金, 等. 全球变化大数据的科学认知与云共享平台. 遥感学报, 2016, 20(6): 1479-1484.] | |
[184] | Xu Hui, Chen Hengjun.Brief introduction and some considerations towards international geoinformation standardization. Standardization of Surveying and Mapping, 2014, 30(3): 1-4. |
[许晖, 陈衡军. 国际地理信息标准化概述及思考. 测绘标准化, 2014, 30(3): 1-4.] |
[1] | 闫慧敏, 刘纪远, 曹明奎. 近20年中国耕地复种指数的时空变化[J]. 地理学报, 2005, 60(4): 559-566. |
[2] | 子君. 地球科学数据产品的开发[J]. 地理学报, 1996, 51(s1): 172-172. |
[3] | 金德生. 关于流水动力地貌及其实验模拟问题[J]. 地理学报, 1989, 44(2): 147-156. |
[4] | 沈焕庭. 国外河口水文研究的动向[J]. 地理学报, 1988, 43(3): 274-280. |