| New vegetation index and its application in estimating leaf area index of rice FM Wang, J Huang, Y Tang, X Wang Rice Science 14 (3), 195-203, 2007 | 399 | 2007 |
| 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 | 305 | 2015 |
| 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 | 220 | 2013 |
| 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 | 220 | 2011 |
| 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 | 212 | 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 | 207 | 2019 |
| 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 | 205 | 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 | 202 | 2020 |
| 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 | 198 | 2010 |
| 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 | 144 | 2006 |
| Towards interpreting multi-temporal deep learning models in crop mapping J Xu, J Yang, X Xiong, H Li, J Huang, KC Ting, Y Ying, T Lin Remote Sensing of Environment 264, 112599, 2021 | 127 | 2021 |
| 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 | 123 | 2017 |
| 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 | 115 | 2018 |
| 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 (1), 71-78, 2010 | 111 | 2010 |
| 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 | 104 | 2018 |
| 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 | 102 | 2012 |
| 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 | 101 | 2009 |
| 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 | 98 | 2007 |
| Large-scale rice mapping under different years based on time-series Sentinel-1 images using deep semantic segmentation model P Wei, D Chai, T Lin, C Tang, M Du, J Huang ISPRS journal of photogrammetry and remote sensing 174, 198-214, 2021 | 96 | 2021 |
| Accuracies of support vector machine and random forest in rice mapping with Sentinel-1A, Landsat-8 and Sentinel-2A datasets LR Mansaray, F Wang, J Huang, L Yang, AS Kanu Geocarto International 35 (10), 1088-1108, 2020 | 92 | 2020 |
