| A survey of image classification methods and techniques for improving classification performance D Lu, Q Weng International journal of Remote sensing 28 (5), 823-870, 2007 | 4853 | 2007 |
| Change detection techniques D Lu, P Mausel, E Brondizio, E Moran International journal of remote sensing 25 (12), 2365-2401, 2004 | 4765 | 2004 |
| Estimation of land surface temperature–vegetation abundance relationship for urban heat island studies Q Weng, D Lu, J Schubring Remote sensing of Environment 89 (4), 467-483, 2004 | 3552 | 2004 |
| The potential and challenge of remote sensing‐based biomass estimation D Lu International journal of remote sensing 27 (7), 1297-1328, 2006 | 1696 | 2006 |
| A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems D Lu, Q Chen, G Wang, L Liu, G Li, E Moran International Journal of Digital Earth 9 (1), 63-105, 2016 | 963 | 2016 |
| Use of impervious surface in urban land-use classification D Lu, Q Weng Remote sensing of environment 102 (1-2), 146-160, 2006 | 928 | 2006 |
| Aboveground biomass estimation using Landsat TM data in the Brazilian Amazon D Lu International journal of remote sensing 26 (12), 2509-2525, 2005 | 618 | 2005 |
| Spectral mixture analysis of the urban landscape in Indianapolis with Landsat ETM+ imagery D Lu, Q Weng Photogrammetric engineering & remote sensing 70 (9), 1053-1062, 2004 | 558 | 2004 |
| Mapping soil erosion risk in Rondonia, Brazilian Amazonia: using RUSLE, remote sensing and GIS D Lu, G Li, GS Valladares, M Batistella Land degradation & development 15 (5), 499-512, 2004 | 538 | 2004 |
| Relationships between forest stand parameters and Landsat TM spectral responses in the Brazilian Amazon Basin D Lu, P Mausel, E Brondı́zio, E Moran Forest ecology and management 198 (1-3), 149-167, 2004 | 528 | 2004 |
| Assessment of atmospheric correction methods for Landsat TM data applicable to Amazon basin LBA research D Lu, P Mausel, E Brondizio, E Moran International journal of remote sensing 23 (13), 2651-2671, 2002 | 449 | 2002 |
| Regional mapping of human settlements in southeastern China with multisensor remotely sensed data D Lu, H Tian, G Zhou, H Ge Remote Sensing of Environment 112 (9), 3668-3679, 2008 | 423 | 2008 |
| A sub-pixel analysis of urbanization effect on land surface temperature and its interplay with impervious surface and vegetation coverage in Indianapolis, United States Q Weng, D Lu International journal of applied earth observation and geoinformation 10 (1 …, 2008 | 379 | 2008 |
| Aboveground forest biomass estimation with Landsat and LiDAR data and uncertainty analysis of the estimates D Lu, Q Chen, G Wang, E Moran, M Batistella, M Zhang, G Vaglio Laurin, ... International Journal of Forestry Research 2012 (1), 436537, 2012 | 369 | 2012 |
| Linear mixture model applied to Amazonian vegetation classification D Lu, E Moran, M Batistella Remote sensing of environment 87 (4), 456-469, 2003 | 368 | 2003 |
| Examining spectral reflectance saturation in Landsat imagery and corresponding solutions to improve forest aboveground biomass estimation P Zhao, D Lu, G Wang, C Wu, Y Huang, S Yu Remote Sensing 8 (6), 469, 2016 | 304 | 2016 |
| A comparative analysis of megacity expansions in China and the US: Patterns, rates and driving forces W Kuang, W Chi, D Lu, Y Dou Landscape and urban planning 132, 121-135, 2014 | 285 | 2014 |
| Urban classification using full spectral information of Landsat ETM+ imagery in Marion County, Indiana D Lu, Q Weng Photogrammetric Engineering & Remote Sensing 71 (11), 1275-1284, 2005 | 285 | 2005 |
| Assessing the effects of land use and land cover patterns on thermal conditions using landscape metrics in city of Indianapolis, United States Q Weng, H Liu, D Lu Urban ecosystems 10 (2), 203-219, 2007 | 277 | 2007 |
| Spectral mixture analysis of ASTER images for examining the relationship between urban thermal features and biophysical descriptors in Indianapolis, Indiana, USA D Lu, Q Weng Remote Sensing of Environment 104 (2), 157-167, 2006 | 274 | 2006 |
Qihao WengChair Professor of Geomatics & Artificial Intelligence, The Hong Kong Polytechnic UniversityVerified email at polyu.edu.hk
