| 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 | 673 | 2016 |
| 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, 2012 | 300 | 2012 |
| Mapping multiple variables for predicting soil loss by geostatistical methods with TM images and a slope map G Wang, G Gertner, S Fang, AB Anderson Photogrammetric Engineering & Remote Sensing 69 (8), 889-898, 2003 | 224 | 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 | 214 | 2016 |
| A regional comparison of factors affecting global sorghum production: The case of North America, Asia and Africa’s Sahel CW Mundia, S Secchi, K Akamani, G Wang Sustainability 11 (7), 2135, 2019 | 212 | 2019 |
| Improvement in mapping vegetation cover factor for the universal soil loss equation by geostatistical methods with Landsat Thematic Mapper images G Wang, S Wente, GZ Gertner, A Anderson International Journal of Remote Sensing 23 (18), 3649-3667, 2002 | 189 | 2002 |
| Uncertainty assessment of soil erodibility factor for revised universal soil loss equation G Wang, G Gertner, X Liu, A Anderson Catena 46 (1), 1-14, 2001 | 155 | 2001 |
| Comparative analysis of modeling algorithms for forest aboveground biomass estimation in a subtropical region Y Gao, D Lu, G Li, G Wang, Q Chen, L Liu, D Li Remote Sensing 10 (4), 627, 2018 | 151 | 2018 |
| Deep learning segmentation and classification for urban village using a worldview satellite image based on U-Net Z Pan, J Xu, Y Guo, Y Hu, G Wang Remote Sensing 12 (10), 1574, 2020 | 140 | 2020 |
| Spatial and temporal prediction and uncertainty of soil loss using the revised universal soil loss equation: a case study of the rainfall–runoff erosivity R factor G Wang, G Gertner, V Singh, S Shinkareva, P Parysow, A Anderson Ecological Modelling 153 (1-2), 143-155, 2002 | 136 | 2002 |
| Spatial uncertainty analysis for mapping soil erodibility based on joint sequential simulation P Parysow, G Wang, G Gertner, AB Anderson Catena 53 (1), 65-78, 2003 | 133 | 2003 |
| Forest aboveground biomass estimation in Zhejiang Province usingthe integration of Landsat TM and ALOS PALSAR data SY Zhao, P., D. Lu, G. Wang, L. Liu, D. Li, J. Zhu International Journal of Applied Earth Observation and Geoinformation 53, 2016 | 131 | 2016 |
| Mapping paddy rice using a convolutional neural network (CNN) with Landsat 8 datasets in the Dongting Lake Area, China M Zhang, H Lin, G Wang, H Sun, J Fu Remote Sensing 10 (11), 1840, 2018 | 125 | 2018 |
| The geography of ecosystem service value: The case of the Des Plaines and Cache River wetlands, Illinois J Kozak, C Lant, S Shaikh, G Wang Applied Geography 31 (1), 303-311, 2011 | 106 | 2011 |
| Phenology-based classification of vegetation cover types in Northeast China using MODIS NDVI and EVI time series E Yan, G Wang, H Lin, C Xia, H Sun International Journal of Remote Sensing 36 (2), 489-512, 2015 | 101 | 2015 |
| Mapping and spatial uncertainty analysis of forest vegetation carbon by combining national forest inventory data and satellite images G Wang, T Oyana, M Zhang, S Adu-Prah, S Zeng, H Lin, J Se Forest Ecology and Management 258 (7), 1275-1283, 2009 | 96 | 2009 |
| Remote sensing applications for sampling design of natural resources G Wang, G Gertner Remote Sensing of Natural Resources 5777, 23-44, 2013 | 84 | 2013 |
| The calibration of digitized aerial photographs for forest stratification M Holopainen, G Wang International Journal of Remote Sensing 19 (4), 677-696, 1998 | 83 | 1998 |
| A generalized nonlinear mixed-effects height to crown base model for Mongolian oak in northeast China L Fu, H Zhang, RP Sharma, L Pang, G Wang Forest ecology and management 384, 34-43, 2017 | 80 | 2017 |
| Landscape ecology development supported by geospatial technologies: A review H Yu, X Liu, B Kong, R Li, G Wang Ecological Informatics 51, 185-192, 2019 | 70 | 2019 |
George GertnerUniversity of Illinois, Urbana-ChampaignBestätigte E-Mail-Adresse bei illinois.edu
