Pengyu Hao

18 papers C 3Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2025 J jnl
A practical method for deriving all-weather ET from remote sensing and meteorological data.
Int. J. Appl. Earth Obs. Geoinformation
Pengyu Hao, Liping Di, Liying Guo, Zhongxin Chen, Luna Montgomery
2022 J jnl
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends.
Remote. Sens.
Qiang Zhao, Le Yu, Zhenrong Du, Dailiang Peng, Pengyu Hao, Yongguang Zhang, Peng Gong
2022 J jnl
Operation Status Comparison Monitoring of China's Southeast Asian Industrial Parks before and after COVID-19 Using Nighttime Lights Data.
ISPRS Int. J. Geo Inf.
Mingquan Wu, Huichun Ye, Zheng Niu, Wenjiang Huang, Pengyu Hao, Wang Li, Bo Yu
2021 C conf
Applying Machine Learning to Cropland Data Layer for Agro-Geoinformation Discovery.
IGARSS
Chen Zhang, Zhengwei Yang, Liping Di, Li Lin, Pengyu Hao, Liying Guo
2021 — conf
Impacts of Soil Moisture on Crop Health: A Remote Sensing Perspective.
Agro-Geoinformatics
Haoteng Zhao, Liping Di, Ziheng Sun, Pengyu Hao, Eugene Yu, Chen Zhang, Li Lin
2021 J jnl
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer.
Int. J. Appl. Earth Obs. Geoinformation
Chen Zhang, Liping Di, Pengyu Hao, Zhengwei Yang, Li Lin, Haoteng Zhao, Liying Guo
2021 — conf
Using machine learning and trapezoidal model to derive All-weather ET from Remote sensing Images and Meteorological Data.
Agro-Geoinformatics
Pengyu Hao, Liping Di, Eugene Yu, Liying Guo, Ziheng Sun, Haoteng Zhao
2020 J jnl
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine.
Environ. Model. Softw.
Chen Zhang, Liping Di, Zhengwei Yang, Li Lin, Pengyu Hao
2019 J jnl
New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data.
Remote. Sens.
Pengyu Hao, Zhongxin Chen, Huajun Tang, Dandan Li, He Li
2018 J jnl
Annual Cropland Mapping Using Reference Landsat Time Series - A Case Study in Central Asia.
Remote. Sens.
Pengyu Hao, Fabian Löw, Chandrashekhar M. Biradar
2018 C conf
LAI Retrieval of Winter Wheat using Simulated Compact SAR Data through GA-PLS Modeling.
IGARSS
Chang-An Liu, Zhongxin Chen, Pengyu Hao, Kun Li, Xiaochen Wang
2017 J jnl
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas.
Comput. Electron. Agric.
Mingquan Wu, Wenjiang Huang, Zheng Niu, Yu Wang, Changyao Wang, Wang Li, Pengyu Hao, Bo Yu
2016 J jnl
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery.
Inf. Fusion
Mingquan Wu, Chaoyang Wu, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao
2016 J jnl
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.
ISPRS Int. J. Geo Inf.
Pengyu Hao, Li Wang, Yulin Zhan, Zheng Niu
2016 C conf
Using historical NDVI time series to classify crops at 30m spatial resolution: A case in Southeast Kansas.
IGARSS
Pengyu Hao, Li Wang, Yulin Zhan, Zheng Niu, Mingquan Wu
2015 J jnl
Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA.
Remote. Sens.
Pengyu Hao, Yulin Zhan, Li Wang, Zheng Niu, Muhammad Shakir
2015 J jnl
Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring.
Remote. Sens.
Mingquan Wu, Xiaoyang Zhang, Wenjiang Huang, Zheng Niu, Changyao Wang, Wang Li, Pengyu Hao
2014 J jnl
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.
Remote. Sens.
Pengyu Hao, Li Wang, Zheng Niu, Abdullah Aablikim, Ni Huang, Shiguang Xu, Fang Chen