Year |
Citation |
Score |
2024 |
Zhou X, Gui H, Xin Q, Dai Y. Divergent trajectories of future global gross primary productivity and evapotranspiration of terrestrial vegetation in Shared Socioeconomic Pathways. The Science of the Total Environment. 170580. PMID 38309360 DOI: 10.1016/j.scitotenv.2024.170580 |
0.322 |
|
2021 |
Liu X, Zheng J, Yu L, Hao P, Chen B, Xin Q, Fu H, Gong P. Annual dynamic dataset of global cropping intensity from 2001 to 2019. Scientific Data. 8: 283. PMID 34711845 DOI: 10.1038/s41597-021-01065-9 |
0.309 |
|
2021 |
Cao M, Sun Y, Jiang X, Li Z, Xin Q. Identifying Leaf Phenology of Deciduous Broadleaf Forests from PhenoCam Images Using a Convolutional Neural Network Regression Method Remote Sensing. 13: 2331. DOI: 10.3390/rs13122331 |
0.319 |
|
2020 |
Xi X, Zhang X, Sun Y, Jiang X, Xin Q. Topology-Preserving and Geometric Feature-Correction Watermarking of Vector Maps Ieee Access. 8: 33428-33441. DOI: 10.1109/Access.2020.2973458 |
0.351 |
|
2020 |
Xin Q, Zhou X, Wei N, Yuan H, Ao Z, Dai Y. A Semiprognostic Phenology Model for Simulating Multidecadal Dynamics of Global Vegetation Leaf Area Index Journal of Advances in Modeling Earth Systems. 12. DOI: 10.1029/2019Ms001935 |
0.38 |
|
2019 |
Xin Q, Dai Y, Liu X. A simple time-stepping scheme to simulate leaf area index, phenology, and gross primary production across deciduous broadleaf forests in the eastern United States Biogeosciences. 16: 467-484. DOI: 10.5194/Bg-16-467-2019 |
0.423 |
|
2019 |
Sun Y, Huang J, Ao Z, Lao D, Xin Q. Deep Learning Approaches for the Mapping of Tree Species Diversity in a Tropical Wetland Using Airborne LiDAR and High-Spatial-Resolution Remote Sensing Images Forests. 10: 1047. DOI: 10.3390/F10111047 |
0.45 |
|
2019 |
Xi X, Zhang X, Liang W, Xin Q, Zhang P. Dual Zero-Watermarking Scheme for Two-Dimensional Vector Map Based on Delaunay Triangle Mesh and Singular Value Decomposition Applied Sciences. 9: 642. DOI: 10.3390/App9040642 |
0.3 |
|
2019 |
Sun Y, Xin Q, Huang J, Huang B, Zhang H. Characterizing Tree Species of a Tropical Wetland in Southern China at the Individual Tree Level Based on Convolutional Neural Network Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12: 4415-4425. DOI: 10.1109/Jstars.2019.2950721 |
0.437 |
|
2019 |
Zhang Z, Zhang X, Jiang X, Xin Q, Ao Z, Zuo Q, Chen L. Automated Surface Water Extraction Combining Sentinel-2 Imagery and OpenStreetMap Using Presence and Background Learning (PBL) Algorithm Ieee Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 12: 3784-3798. DOI: 10.1109/Jstars.2019.2936406 |
0.331 |
|
2019 |
Zhou X, Xin Q. Improving satellite-based modelling of gross primary production in deciduous broadleaf forests by accounting for seasonality in light use efficiency International Journal of Remote Sensing. 40: 931-955. DOI: 10.1080/01431161.2018.1519285 |
0.423 |
|
2019 |
Dai Y, Xin Q, Wei N, Zhang Y, Shangguan W, Yuan H, Zhang S, Liu S, Lu X. A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface Modeling Journal of Advances in Modeling Earth Systems. 11: 2996-3023. DOI: 10.1029/2019Ms001784 |
0.303 |
|
2019 |
Wen Y, Liu X, Xin Q, Wu J, Xu X, Pei F, Li X, Du G, Cai Y, Lin K, Yang J, Wang Y. Cumulative Effects of Climatic Factors on Terrestrial Vegetation Growth Journal of Geophysical Research. 124: 789-806. DOI: 10.1029/2018Jg004751 |
0.304 |
|
2019 |
Huang J, Zhang X, Xin Q, Sun Y, Zhang P. Automatic building extraction from high-resolution aerial images and LiDAR data using gated residual refinement network Isprs Journal of Photogrammetry and Remote Sensing. 151: 91-105. DOI: 10.1016/J.Isprsjprs.2019.02.019 |
0.311 |
|
2019 |
Wei J, Xin Q, Ji L, Gong P, Si Y. A new satellite-based indicator to identify spatiotemporal foraging areas for herbivorous waterfowl Ecological Indicators. 99: 83-90. DOI: 10.1016/J.Ecolind.2018.12.016 |
0.31 |
|
2019 |
Dai Y, Yuan H, Xin Q, Wang D, Shangguan W, Zhang S, Liu S, Wei N. Different representations of canopy structure—A large source of uncertainty in global land surface modeling Agricultural and Forest Meteorology. 119-135. DOI: 10.1016/J.Agrformet.2019.02.006 |
0.379 |
|
2018 |
Sun Y, Zhang X, Zhao X, Xin Q. Extracting Building Boundaries from High Resolution Optical Images and LiDAR Data by Integrating the Convolutional Neural Network and the Active Contour Model Remote Sensing. 10: 1459. DOI: 10.3390/Rs10091459 |
0.315 |
|
2018 |
Li L, Zhao Y, Fu Y, Xin Q. Satellite-Based Models Need Improvements to Simulating Annual Gross Primary Productivity: A Comparison of Six Models for Regional Modeling of Deciduous Broadleaf Forests Remote Sensing. 10: 1008. DOI: 10.3390/Rs10071008 |
0.416 |
|
2018 |
Wang G, Wang W, Fang Q, Jiang H, Xin Q, Xue B. The Application of Discrete Wavelet Transform with Improved Partial Least-Squares Method for the Estimation of Soil Properties with Visible and Near-Infrared Spectral Data Remote Sensing. 10: 867. DOI: 10.3390/Rs10060867 |
0.312 |
|
2018 |
Liu X, Yu L, Li W, Peng D, Zhong L, Li L, Xin Q, Lu H, Yu C, Gong P. Comparison of country-level cropland areas between ESA-CCI land cover maps and FAOSTAT data International Journal of Remote Sensing. 39: 6631-6645. DOI: 10.1080/01431161.2018.1465613 |
0.442 |
|
2018 |
Broich M, Tulbure MG, Verbesselt J, Xin Q, Wearne J. Quantifying Australia's dryland vegetation response to flooding and drought at sub-continental scale Remote Sensing of Environment. 212: 60-78. DOI: 10.1016/J.Rse.2018.04.032 |
0.414 |
|
2018 |
Sun Y, Zhang X, Xin Q, Huang J. Developing a multi-filter convolutional neural network for semantic segmentation using high-resolution aerial imagery and LiDAR data Isprs Journal of Photogrammetry and Remote Sensing. 143: 3-14. DOI: 10.1016/J.Isprsjprs.2018.06.005 |
0.349 |
|
2018 |
He X, Zhang X, Xin Q. Recognition of building group patterns in topographic maps based on graph partitioning and random forest Isprs Journal of Photogrammetry and Remote Sensing. 136: 26-40. DOI: 10.1016/J.Isprsjprs.2017.12.001 |
0.347 |
|
2018 |
Xin Q, Dai Y, Li X, Liu X, Gong P, Richardson AD. A steady-state approximation approach to simulate seasonal leaf dynamics of deciduous broadleaf forests via climate variables Agricultural and Forest Meteorology. 249: 44-56. DOI: 10.1016/J.Agrformet.2017.11.025 |
0.467 |
|
2017 |
Li L, Zhao Y, Fu Y, Pan Y, Yu L, Xin Q. High Resolution Mapping of Cropping Cycles by Fusion of Landsat and MODIS Data Remote Sensing. 9: 1232. DOI: 10.3390/Rs9121232 |
0.447 |
|
2017 |
Sheng Y, Liu X, Yang X, Xin Q, Deng C, Li X. Quantifying the spatial and temporal relationship between air and land surface temperatures of different land-cover types in Southeastern China Journal of Remote Sensing. 38: 1114-1136. DOI: 10.1080/01431161.2017.1280629 |
0.445 |
|
2017 |
Sun Y, Zhang X, Zhao Y, Xin Q. Monitoring annual urbanization activities in Guangzhou using Landsat images 1987–2015 Journal of Remote Sensing. 38: 1258-1276. DOI: 10.1080/01431161.2016.1268283 |
0.463 |
|
2017 |
Zhu P, Zhuang Q, Ciais P, Welp L, Li W, Xin Q. Elevated atmospheric CO2 negatively impacts photosynthesis through radiative forcing and physiology-mediated climate feedback: CO2 Reduces GPP Through Climate Change Geophysical Research Letters. 44: 1956-1963. DOI: 10.1002/2016Gl071733 |
0.3 |
|
2016 |
Wang X, Huang H, Gong P, Biging GS, Xin Q, Chen Y, Yang J, Liu C. Quantifying multi-decadal change of planted forest cover using airborne LiDAR and Landsat imagery Remote Sensing. 8. DOI: 10.3390/Rs8010062 |
0.522 |
|
2016 |
Zhang X, Guo T, Huang J, Xin Q. Propagating Updates of Residential Areas in Multi-Representation Databases Using Constrained Delaunay Triangulations Isprs International Journal of Geo-Information. 5: 80. DOI: 10.3390/Ijgi5060080 |
0.351 |
|
2016 |
Xu X, Liu X, Li X, Xin Q, Chen Y, Shi Q, Ai B. Global snow cover estimation with Microwave Brightness Temperature measurements and one-class in situ observations Remote Sensing of Environment. 182: 227-251. DOI: 10.1016/J.Rse.2016.05.010 |
0.45 |
|
2016 |
Xin Q, Gong P, Suyker AE, Si Y. Effects of the partitioning of diffuse and direct solar radiation on satellite-based modeling of crop gross primary production International Journal of Applied Earth Observation and Geoinformation. 50: 51-63. DOI: 10.1016/J.Jag.2016.03.002 |
0.386 |
|
2016 |
Xin Q. A risk-benefit model to simulate vegetation spring onset in response to multi-decadal climate variability: Theoretical basis and applications from the field to the Northern Hemisphere Agricultural and Forest Meteorology. 228: 139-163. DOI: 10.1016/J.Agrformet.2016.06.017 |
0.482 |
|
2015 |
Xin Q, Gong P, Li W. Modeling photosynthesis of discontinuous plant canopies by linking the Geometric Optical Radiative Transfer model with biochemical processes Biogeosciences. 12: 3447-3467. DOI: 10.5194/Bg-12-3447-2015 |
0.401 |
|
2015 |
Xin Q, Broich M, Zhu P, Gong P. Modeling grassland spring onset across the Western United States using climate variables and MODIS-derived phenology metrics Remote Sensing of Environment. 161: 63-77. DOI: 10.1016/J.Rse.2015.02.003 |
0.412 |
|
2015 |
Si Y, Xin Q, Prins HHT, de Boer WF, Gong P. Improving the quantification of waterfowl migration with remote sensing and bird tracking Science Bulletin. DOI: 10.1007/S11434-015-0930-9 |
0.345 |
|
2014 |
Broich M, Huete A, Tulbure MG, Ma X, Xin Q, Paget M, Restrepo-Coupe N, Davies K, Devadas R, Held A. Land surface phenological response to decadal climate variability across Australia using satellite remote sensing Biogeosciences. 11: 5181-5198. DOI: 10.5194/Bg-11-5181-2014 |
0.432 |
|
2014 |
Li L, Friedl MA, Xin Q, Gray J, Pan Y, Frolking S. Mapping crop cycles in China using MODIS-EVI time series Remote Sensing. 6: 2473-2493. DOI: 10.3390/Rs6032473 |
0.448 |
|
2014 |
Yu L, Liang L, Wang J, Zhao Y, Cheng Q, Hu L, Liu S, Wang X, Zhu P, Li X, Xu Y, Li C, Fu W, Li W, Liu C, ... ... Xin Q, et al. Meta-discoveries from a synthesis of satellite-based land-cover mapping research International Journal of Remote Sensing. 35: 4573-4588. DOI: 10.1080/01431161.2014.930206 |
0.445 |
|
2014 |
Yu C, Li C, Xin Q, Chen H, Zhang J, Zhang F, Li X, Clinton N, Huang X, Yue Y, Gong P. Dynamic assessment of the impact of drought on agricultural yield and scale-dependent return periods over large geographic regions Environmental Modelling and Software. 62: 454-464. DOI: 10.1016/J.Envsoft.2014.08.004 |
0.394 |
|
2013 |
Xin Q, Gong P, Yu C, Yu L, Broich M, Suyker A, Myneni R. A Production Efficiency Model-Based Method for Satellite Estimates of Corn and Soybean Yields in the Midwestern US Remote Sensing. 5: 5926-5943. DOI: 10.3390/Rs5115926 |
0.441 |
|
2013 |
Yu L, Wang J, Clinton N, Xin Q, Zhong L, Chen Y, Gong P. FROM-GC: 30 m global cropland extent derived through multisource data integration International Journal of Digital Earth. 6: 521-533. DOI: 10.1080/17538947.2013.822574 |
0.418 |
|
2013 |
Xin Q, Olofsson P, Zhu Z, Tan B, Woodcock CE. Toward near real-time monitoring of forest disturbance by fusion of MODIS and Landsat data Remote Sensing of Environment. 135: 234-247. DOI: 10.1016/J.Rse.2013.04.002 |
0.658 |
|
2012 |
Xin Q, Woodcock CE, Liu J, Tan B, Melloh RA, Davis RE. View angle effects on MODIS snow mapping in forests Remote Sensing of Environment. 118: 50-59. DOI: 10.1016/J.Rse.2011.10.029 |
0.672 |
|
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