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| 1 | Finer-Resolution Mapping of Global Land Cover: Recent Developments, Consistency Analysis, and Prospects显示文摘Land-cover mapping is one of the foundations of Earth science.As a result of the combined efforts of many scientists,numerous global land-cover(GLC)products with a resolution of 30 m have so far been generated.However,the increasing number of fineresolution GLC datasets is imposing additional workloads as it is necessary to confirm the quality of these datasets and check their suitability for user applications.To provide guidelines for users,in this study,the recent developments in currently available 30 m GLC products(including three GLC products and thematic products for four different land-cover types,i.e.,impervious surface,forest,cropland,and inland water)were first reviewed.Despite the great efforts toward improving mapping accuracy that there have been in recent decades,the current 30 m GLC products still suffer from having relatively low accuracies of between 46.0%and 88.9%for GlobeLand30-2010,57.71%and 80.36%for FROM_GLC-2015,and 65.59%and 84.33%for GLC_FCS30-2015.The reported accuracies for the global 30 m thematic maps vary from 67.86%to 95.1%for the eight impervious surface products that were reviewed,56.72%to 97.36%for the seven forest products,32.73%to 98.3%for the six cropland products,and 15.67%to 99.7%for the six inland water products.The consistency between the current GLC products was then examined.The GLC maps showed a good overall agreement in terms of spatial patterns but a limited agreement for some vegetation classes(such as shrub,tree,and grassland)in specific areas such as transition zones.Finally,the prospects for fine-resolution GLC mapping were also considered.With the rapid development of cloud computing platforms and big data,the Google Earth Engine(GEE)greatly facilitates the production of global fine-resolution land-cover maps by integrating multisource remote sensing datasets with advanced image processing and classification algorithms and powerful computing capability.The synergy between the spectral,spatial,and temporal features derived from multisource satellite datasets and stored in cloud computing platforms will definitely improve the classification accuracy and spatiotemporal resolution of fineresolution GLC products.In general,up to now,most land-cover maps have not been able to achieve the maximum(per class or overall)error of 5%–15%required by many applications.Therefore,more efforts are needed toward improving the accuracy of these GLC products,especially for classes for which the accuracy has so far been low(such as shrub,wetland,tundra,and grassland)and in terms of the overall quality of the maps. | Liangyun Liu Xiao Zhang Yuan Gao Xidong Chen Xie Shuai Jun Mi | 2021 | Journal of Remote Sensing2021，，1： | 9 |
| 2 | Overview of the radiometric and biophysical performance of the MODIS vegetation indices显示文摘 | A Huete K Didan T Miura E.P Rodriguez X Gao L.G Ferreira | 2002 | Remote Sensing of Environment2002，，1： | 6 |
| 3 | Overview of the radiometric and biophysical performance of the MODIS vegetation indices显示文摘 | A Huete K Didan T Miura E.P Rodriguez X Gao L.G Ferreira | 2002 | Remote Sensing of Environment2002，，1： | 6 |
| 4 | A mono-window algorithm for retrieving land surface temperature from Landsat TM data and its application to the Israel-Egypt border region显示文摘 | Z. Qin A. Karnieli P. Berliner | 2001 | International Journal of Remote Sensing2001，，18： | 6 |
| 5 | A simple interpretation of the surface temperature/vegetation index space for assessment of surface moisture status显示文摘 | Inge Sandholt Kjeld Rasmussen Jens Andersen | 2001 | Remote Sensing of Environment2001，，2： | 5 |
| 6 | The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features显示文摘 | S. K. McFEETERS | 1996 | International Journal of Remote Sensing1996，，7： | 5 |
| 7 | The use of the Normalized Difference Water Index (NDWI) in the delineation of open water features显示文摘 | S. K. McFEETERS | 1996 | International Journal of Remote Sensing1996，，7： | 5 |
| 8 | Monitoring vegetation phenology using MODIS显示文摘 | Xiaoyang Zhang Mark A. Friedl Crystal B. Schaaf Alan H. Strahler John C.F. Hodges Feng Gao Bradley C. Reed Alfredo Huete | 2002 | Remote Sensing of Environment2002，，3： | 4 |
| 9 | Comparison of snow mass estimates from a prototype passive microwave snow algorithm, a revised algorithm and a snow depth climatology显示文摘 | J.L. Foster A.T.C. Chang D.K. Hall | 1997 | Remote Sensing of Environment1997，，2： | 3 |
| 10 | Determination of terrain models in wooded areas with airborne laser scanner data显示文摘 | K. Kraus N. Pfeifer | 1998 | ISPRS Journal of Photogrammetry and Remote Sensing1998，，4： | 3 |
| 11 | Prospects for Solar-Induced Chlorophyll Fluorescence Remote Sensing from the SIFIS Payload Onboard the TECIS-1 Satellite显示文摘The importance of solar-induced chlorophyll fluorescence(SIF)to monitoring vegetation photosynthesis has attracted much attention from the ecological and remote sensing research communities.Space-borne SIF products have been obtained owing to the rapid development of atmospheric satellites in recent years.The SIF Imaging Spectrometer(SIFIS)is a payload onboard the upcoming Terrestrial Ecosystem Carbon Inventory Satellite(TECIS-1)that is specifically designed for SIF monitoring.We conducted an in situ experiment to evaluate the performance of SIFIS on spectral measurement and SIF retrieval through comparison to the commercial spectrometer QE Pro.Disregarding the spatiotemporal mismatch between the collected measurements of the two spectrometers,the radiance spectra obtained synchronously by SIFIS and QE Pro showed a high level of consistency.The SIF retrieval,normalized difference vegetation index(NDVI),and near-infrared radiance of vegetation(NIRvR)results for a push-broom image shows consistent spatial distributions over both vegetated and nonvegetated surfaces.A quantitative comparison was conducted by strictly filtering matching pixels.For the far-red band,a high correlation was obtained between the SIF retrieval performances of SIFIS and QE Pro with R^(2)=0:70 and RMSE=0:30mWm^(−2)sr^(−−1)nm^(−1).However,a relatively poor correlation was observed for the red band with an R^(2)value of 0.23 and an RMSE of 0.26 mWm^(−2)sr^(-−1)nm^(−1).Despite the large uncertainties associated with this experiment,the results indicate that TECIS-1 should offer a reliable SIF monitoring performance after its launch. | Shanshan Du Xinjie Liu Jidai Chen Liangyun Liu | 2022 | Journal of Remote Sensing2022，，1： | 3 |
| 12 | Rice monitoring and production estimation using multitemporal RADARSAT显示文摘 | Yun Shao Xiangtao Fan Hao Liu Jianhua Xiao S Ross B Brisco R Brown G Staples | 2001 | Remote Sensing of Environment2001，，3： | 3 |
| 13 | Analysis of NDVI and scaled difference vegetation index retrievals of vegetation fraction显示文摘 | Zhangyan Jiang Alfredo R. Huete Jin Chen Yunhao Chen Jing Li Guangjian Yan Xiaoyu Zhang | 2006 | Remote Sensing of Environment2006，，3： | 3 |
| 14 | On the relation between NDVI, fractional vegetation cover, and leaf area index显示文摘 | Toby N. Carlson David A. Ripley | 1997 | Remote Sensing of Environment1997，，3： | 3 |
| 15 | Reflectance measurement of canopy biomass and nitrogen status in wheat crops using normalized difference vegetation indices and partial least squares regression显示文摘 | P.M. Hansen J.K. Schjoerring | 2003 | Remote Sensing of Environment2003，，4： | 3 |
| 16 | Object-oriented image analysis for mapping shrub encroachment from 1937 to 2003 in southern New Mexico显示文摘 | Andrea S. Laliberte Albert Rango Kris M. Havstad Jack F. Paris Reldon F. Beck Rob McNeely Amalia L. Gonzalez | 2004 | Remote Sensing of Environment2004，，1： | 3 |
| 17 | Mapping paddy rice agriculture in southern China using multi-temporal MODIS images显示文摘 | Xiangming Xiao Stephen Boles Jiyuan Liu Dafang Zhuang Steve Frolking Changsheng Li William Salas Berrien Moore | 2005 | Remote Sensing of Environment2005，，4： | 3 |
| 18 | The MERIS terrestrial chlorophyll index显示文摘 | J. Dash P. J. Curran | 2004 | International Journal of Remote Sensing2004，，23： | 3 |
| 19 | Field-derived spectra of salinized soils and vegetation as indicators of irrigation-induced soil salinization显示文摘 | R.L Dehaan G.R Taylor | 2002 | Remote Sensing of Environment2002，，3： | 3 |
| 20 | Assimilation of leaf area index derived from ASAR and MERIS data into CERES-Wheat model to map wheat yield显示文摘 | Laura Dente Giuseppe Satalino Francesco Mattia Michele Rinaldi | 2007 | Remote Sensing of Environment2007，，4： | 3 |
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