| Mapping crop phenology using NDVI time-series derived from HJ-1 A/B data Z Pan, J Huang, Q Zhou, L Wang, Y Cheng, H Zhang, GA Blackburn, ... International Journal of Applied Earth Observation and Geoinformation 34 …, 2015 | 266 | 2015 |
| Detection and estimation of mixed paddy rice cropping patterns with MODIS data D Peng, AR Huete, J Huang, F Wang, H Sun International Journal of Applied Earth Observation and Geoinformation 13 (1 …, 2011 | 201 | 2011 |
| Remotely sensed rice yield prediction using multi-temporal NDVI data derived from NOAA's-AVHRR J Huang, X Wang, X Li, H Tian, Z Pan PloS one 8 (8), e70816, 2013 | 199 | 2013 |
| Application of neural networks to discriminate fungal infection levels in rice panicles using hyperspectral reflectance and principal components analysis ZY Liu, HF Wu, JF Huang Computers and Electronics in Agriculture 72 (2), 99-106, 2010 | 176 | 2010 |
| Mapping croplands, cropping patterns, and crop types using MODIS time-series data Y Chen, D Lu, E Moran, M Batistella, LV Dutra, IDA Sanches, ... International journal of applied earth observation and geoinformation 69 …, 2018 | 160 | 2018 |
| Cloud and cloud shadow detection in Landsat imagery based on deep convolutional neural networks D Chai, S Newsam, HK Zhang, Y Qiu, J Huang Remote sensing of environment 225, 307-316, 2019 | 153 | 2019 |
| GIS-based logistic regression method for landslide susceptibility mapping in regional scale L Zhu, J Huang Journal of Zhejiang University-Science A 7 (12), 2007-2017, 2006 | 129 | 2006 |
| A deep learning approach to conflating heterogeneous geospatial data for corn yield estimation: A case study of the US Corn Belt at the county level H Jiang, H Hu, R Zhong, J Xu, J Xu, J Huang, S Wang, Y Ying, T Lin Global change biology 26 (3), 1754-1766, 2020 | 123 | 2020 |
| DeepCropMapping: A multi-temporal deep learning approach with improved spatial generalizability for dynamic corn and soybean mapping J Xu, Y Zhu, R Zhong, Z Lin, J Xu, H Jiang, J Huang, H Li, T Lin Remote Sensing of Environment 247, 111946, 2020 | 106 | 2020 |
| Mapping rice fields in urban Shanghai, southeast China, using Sentinel-1A and Landsat 8 datasets LR Mansaray, W Huang, D Zhang, J Huang, J Li Remote Sensing 9 (3), 257, 2017 | 100 | 2017 |
| Discrimination of rice panicles by hyperspectral reflectance data based on principal component analysis and support vector classification Z Liu, J Shi, L Zhang, J Huang Journal of Zhejiang University Science B 11, 71-78, 2010 | 96 | 2010 |
| Monitoring rice nitrogen status using hyperspectral reflectance and artificial neural network QX Yi, JF Huang, FM Wang, XZ Wang, ZY Liu Environmental science & technology 41 (19), 6770-6775, 2007 | 95 | 2007 |
| 水稻不同发育时期高光谱与叶绿素和类胡萝卜素的变化规律 唐延林， 黄敬峰， 王人潮 中国水稻科学 18 (1), 59-66, 2004 | 91 | 2004 |
| Mapping paddy rice with multi-date moderate-resolution imaging spectroradiometer (MODIS) data in China H Sun, J Huang, AR Huete, D Peng, F Zhang Journal of Zhejiang University-SCIENCE A 10 (10), 1509-1522, 2009 | 90 | 2009 |
| Comprehensive suitability evaluation of tea crops using GIS and a modified land ecological suitability evaluation model LI Bo, F Zhang, LW ZHANG, JF HUANG, JIN Zhi-Feng, DK Gupta Pedosphere 22 (1), 122-130, 2012 | 86 | 2012 |
| Detecting irrigation extent, frequency, and timing in a heterogeneous arid agricultural region using MODIS time series, Landsat imagery, and ancillary data Y Chen, D Lu, L Luo, Y Pokhrel, K Deb, J Huang, Y Ran Remote Sensing of Environment 204, 197-211, 2018 | 82 | 2018 |
| Impacts of spatial heterogeneity on crop area mapping in Canada using MODIS data Y Chen, X Song, S Wang, J Huang, LR Mansaray ISPRS Journal of Photogrammetry and Remote Sensing 119, 451-461, 2016 | 77 | 2016 |
| A new downscaling-integration framework for high-resolution monthly precipitation estimates: Combining rain gauge observations, satellite-derived precipitation data and … Y Chen, J Huang, S Sheng, LR Mansaray, Z Liu, H Wu, X Wang Remote Sensing of Environment 214, 154-172, 2018 | 76 | 2018 |
| Soil moisture monitoring based on land surface temperature-vegetation index space derived from MODIS data F Zhang, LW ZHANG, SHI Jing-Jing, JF HUANG Pedosphere 24 (4), 450-460, 2014 | 73 | 2014 |
| Comparison between back propagation neural network and regression models for the estimation of pigment content in rice leaves and panicles using hyperspectral data L Chen, JF Huang, FM Wang, YL Tang International Journal of Remote Sensing 28 (16), 3457-3478, 2007 | 73 | 2007 |
