The Potential of Time Series Merged from Landsat-5 TM and HJ-1 CCD for Crop Classification: A Case Study for Bole and Manas Counties in Xinjiang, China. - Pengyu Hao; Li Wang 055; Zheng Niu; Abdullah Aablikim; Ni Huang; Shiguang Xu; Fang Chen (Remote. Sens., 2014)

Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA. - Pengyu Hao; Yulin Zhan; Li Wang 055; Zheng Niu; Muhammad Shakir (Remote. Sens., 2015)

Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring. - Mingquan Wu; Xiaoyang Zhang 001; Wenjiang Huang; Zheng Niu; Changyao Wang; Wang Li 001; Pengyu Hao (Remote. Sens., 2015)

Using historical NDVI time series to classify crops at 30m spatial resolution: A case in Southeast Kansas. - Pengyu Hao; Li Wang 055; Yulin Zhan; Zheng Niu; Mingquan Wu (IGARSS, 2016)

Using Moderate-Resolution Temporal NDVI Profiles for High-Resolution Crop Mapping in Years of Absent Ground Reference Data: A Case Study of Bole and Manas Counties in Xinjiang, China. - Pengyu Hao; Li Wang 055; Yulin Zhan; Zheng Niu (ISPRS Int. J. Geo Inf., 2016)

An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery. - Mingquan Wu; Chaoyang Wu; Wenjiang Huang; Zheng Niu; Changyao Wang; Wang Li 001; Pengyu Hao (Inf. Fusion, 2016)

Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas. - Mingquan Wu; Wenjiang Huang; Zheng Niu; Yu Wang; Changyao Wang; Wang Li 001; Pengyu Hao; Bo Yu 011 (Comput. Electron. Agric., 2017)

LAI Retrieval of Winter Wheat using Simulated Compact SAR Data through GA-PLS Modeling. - Chang-An Liu; Zhongxin Chen; Pengyu Hao; Kun Li 002; Xiaochen Wang (IGARSS, 2018)

Annual Cropland Mapping Using Reference Landsat Time Series - A Case Study in Central Asia. - Pengyu Hao; Fabian Löw; Chandrashekhar M. Biradar (Remote. Sens., 2018)

New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data. - Pengyu Hao; Zhongxin Chen; Huajun Tang; Dandan Li; He Li (Remote. Sens., 2019)

AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine. - Chen Zhang 014; Liping Di; Zhengwei Yang; Li Lin 002; Pengyu Hao (Environ. Model. Softw., 2020)

Using machine learning and trapezoidal model to derive All-weather ET from Remote sensing Images and Meteorological Data. - Pengyu Hao; Liping Di; Eugene Yu; Liying Guo; Ziheng Sun; Haoteng Zhao (Agro-Geoinformatics, 2021)

Impacts of Soil Moisture on Crop Health: A Remote Sensing Perspective. - Haoteng Zhao; Liping Di; Ziheng Sun; Pengyu Hao; Eugene Yu; Chen Zhang 014; Li Lin 002 (Agro-Geoinformatics, 2021)

Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery. - Chen Zhang 014; Zhengwei Yang; Liping Di; Li Lin 002; Pengyu Hao; Liying Guo (IGARSS, 2021)

Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer. - Chen Zhang 014; Liping Di; Pengyu Hao; Zhengwei Yang; Li Lin 002; Haoteng Zhao; Liying Guo (Int. J. Appl. Earth Obs. Geoinformation, 2021)

Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data. - Mingquan Wu; Huichun Ye; Zheng Niu; Wenjiang Huang; Pengyu Hao; Wang Li 001; Bo Yu 011 (ISPRS Int. J. Geo Inf., 2022)

An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends. - Qiang Zhao 008; Le Yu 001; Zhenrong Du; Dailiang Peng; Pengyu Hao; Yongguang Zhang; Peng Gong 002 (Remote. Sens., 2022)