Jingfeng Huang
Jingfeng Huang
Professor of Agricultural Remote Sensing, Zhejiang University
Verified email at - Homepage
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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
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
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
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
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
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
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
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
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
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
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
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
唐延林, 黄敬峰, 王人潮
中国水稻科学 18 (1), 59-66, 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
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
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
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
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
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
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
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