Jianbin Tao

According to our database, Jianbin Tao authored at least 10 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US.

Junjun Cao, Yi Luo, Xiang Zhang, Lei Fan, Jianbin Tao, Won-Ho Nam, Chanyang Sur, Yuqi He, Aminjon Gulakhmadov, Dev Niyogi

Int. J. Appl. Earth Obs. Geoinformation, 2024

2023

From frequency to intensity - A new index for annual large-scale cropping intensity mapping.

Jianbin Tao, Qiyue Jiang, Xinyue Zhang, Jianxi Huang, Yun Wang, Wenbin Wu

Comput. Electron. Agric., December, 2023

Estimating Agricultural Cropping Intensity Using a New Temporal Mixture Analysis Method from Time Series MODIS.

Jianbin Tao, Xinyue Zhang, Yiqing Liu, Qiyue Jiang, Yang Zhou

Remote. Sens., October, 2023

2022

Exploring cropping intensity dynamics by integrating crop phenology information using Bayesian networks.

Jianbin Tao, Yun Wang, Bingwen Qiu, Wenbin Wu

Comput. Electron. Agric., 2022

2020

Multilevel Deep Learning Network for County-Level Corn Yield Estimation in the U.S. Corn Belt.

Jie Sun, Zulong Lai, Liping Di, Ziheng Sun, Jianbin Tao, Yonglin Shen

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

2019

Using the Bayesian Network to Map Large-Scale Cropping Intensity by Fusing Multi-Source Data.

Jianbin Tao, Wenbin Wu, Meng Xu

Remote. Sens., 2019

2018

A Comparison between the MODIS Product (MOD17A2) and a Tide-Robust Empirical GPP Model Evaluated in a Georgia Wetland.

Jianbin Tao, Deepak R. Mishra, David L. Cotten, Jessica L. O'Connell, Monique Leclerc, Hafsah Binti Nahrawi, Gengsheng Zhang, Roshani Pahari

Remote. Sens., 2018

2017

Spatial-Temporal Dynamics of Cropping Frequency in Hubei Province over 2001-2015.

Jianbin Tao, Wenbin Wu, Wenbin Liu

Sensors, 2017

2016

A study of vegetation phenology in the analysis of urbanization process based on time-series MODIS data.

Jianbin Tao, Xiangbing Kong, Yu Wang, Ruiqing Chen

Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

2012

A hierarchical naive Bayesian network classifier embedded GMM for textural image.

Jianbin Tao, Qingquan Li, Changqing Zhu, Jili Li

Int. J. Appl. Earth Obs. Geoinformation, 2012