Pengyu Hao
Orcid: 0000-0003-3711-6157
According to our database1,
Pengyu Hao
authored at least 17 papers
between 2014 and 2022.
Collaborative distances:
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Bibliography
2022
An Overview of the Applications of Earth Observation Satellite Data: Impacts and Future Trends.
Remote. Sens., 2022
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., 2022
2021
Rapid in-season mapping of corn and soybeans using machine-learned trusted pixels from Cropland Data Layer.
Int. J. Appl. Earth Obs. Geoinformation, 2021
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021
Using machine learning and trapezoidal model to derive All-weather ET from Remote sensing Images and Meteorological Data.
Proceedings of the 9th International Conference on Agro-Geoinformatics, 2021
2020
AgKit4EE: A toolkit for agricultural land use modeling of the conterminous United States based on Google Earth Engine.
Environ. Model. Softw., 2020
2019
New Workflow of Plastic-Mulched Farmland Mapping using Multi-Temporal Sentinel-2 data.
Remote. Sens., 2019
2018
Annual Cropland Mapping Using Reference Landsat Time Series - A Case Study in Central Asia.
Remote. Sens., 2018
LAI Retrieval of Winter Wheat using Simulated Compact SAR Data through GA-PLS Modeling.
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Fine crop mapping by combining high spectral and high spatial resolution remote sensing data in complex heterogeneous areas.
Comput. Electron. Agric., 2017
2016
An improved high spatial and temporal data fusion approach for combining Landsat and MODIS data to generate daily synthetic Landsat imagery.
Inf. Fusion, 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.
ISPRS Int. J. Geo Inf., 2016
Using historical NDVI time series to classify crops at 30m spatial resolution: A case in Southeast Kansas.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2015
Reconstruction of Daily 30 m Data from HJ CCD, GF-1 WFV, Landsat, and MODIS Data for Crop Monitoring.
Remote. Sens., 2015
Feature Selection of Time Series MODIS Data for Early Crop Classification Using Random Forest: A Case Study in Kansas, USA.
Remote. Sens., 2015
2014
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., 2014