Jinliang Hou
Orcid: 0000-0001-8127-7092
According to our database1,
Jinliang Hou
authored at least 26 papers
between 2013 and 2025.
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Bibliography
2025
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2025
2024
Reconstruction of MODIS LST Under Cloudy Conditions by Integrating Himawari-8 and AMSR-2 Data Through Deep Forest Method.
IEEE Trans. Geosci. Remote. Sens., 2024
IEEE Trans. Geosci. Remote. Sens., 2024
Sensors, 2024
Soil and Water Assessment Tool (SWAT)-Informed Deep Learning for Streamflow Forecasting with Remote Sensing and In Situ Precipitation and Discharge Observations.
Remote. Sens., 2024
2023
Fractional crop-planting area projection by integrating geographic grid data and agricultural statistics based on random forest regression.
Int. J. Digit. Earth, December, 2023
Real-Time Wildfire Detection Algorithm Based on VIIRS Fire Product and Himawari-8 Data.
Remote. Sens., March, 2023
Snow Depth Retrieval With Multiazimuth and Multisatellite Data Fusion of GNSS-IR Considering the Influence of Surface Fluctuation.
IEEE Trans. Geosci. Remote. Sens., 2023
2022
Remote. Sens., December, 2022
Reconstructing a Gap-Free MODIS Normalized Difference Snow Index Product Using a Long Short-Term Memory Network.
IEEE Trans. Geosci. Remote. Sens., 2022
Integration of Satellite-Derived and Ground-Based Soil Moisture Observations for a Precipitation Product over the Upper Heihe River Basin, China.
Remote. Sens., 2022
Estimation of Snow Depth from AMSR2 and MODIS Data based on Deep Residual Learning Network.
Remote. Sens., 2022
Spatiotemporal Reconstruction of MODIS Normalized Difference Snow Index Products Using U-Net with Partial Convolutions.
Remote. Sens., 2022
A Scalable Computing Resources System for Remote Sensing Big Data Processing Using GeoPySpark Based on Spark on K8s.
Remote. Sens., 2022
2021
High-Resolution Gridded Livestock Projection for Western China Based on Machine Learning.
Remote. Sens., 2021
Spatial-Temporal Distribution of the Freeze-Thaw Cycle of the Largest Lake (Qinghai Lake) in China Based on Machine Learning and MODIS from 2000 to 2020.
Remote. Sens., 2021
Mapping Maize Area in Heterogeneous Agricultural Landscape with Multi-Temporal Sentinel-1 and Sentinel-2 Images Based on Random Forest.
Remote. Sens., 2021
2020
On the Value of Available MODIS and Landsat8 OLI Image Pairs for MODIS Fractional Snow Cover Mapping Based on an Artificial Neural Network.
IEEE Trans. Geosci. Remote. Sens., 2020
Mapping the Population Density in Mainland China Using NPP/VIIRS and Points-Of-Interest Data Based on a Random Forests Model.
Remote. Sens., 2020
Evapotranspiration Partitioning at Field Scales Using TSEB and Multi-Satellite Data Fusion in The Middle Reaches of Heihe River Basin, Northwest China.
Remote. Sens., 2020
Lake Phenology of Freeze-Thaw Cycles Using Random Forest: A Case Study of Qinghai Lake.
Remote. Sens., 2020
2019
Gap-Filling of MODIS Fractional Snow Cover Products via Non-Local Spatio-Temporal Filtering Based on Machine Learning Techniques.
Remote. Sens., 2019
2017
2016
Cloud removal for MODIS Fractional Snow Cover products by similar pixel replacement guild with modified non-dominated sorting genetic algorithm.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016
2014
Improving Mountainous Snow Cover Fraction Mapping via Artificial Neural Networks Combined With MODIS and Ancillary Topographic Data.
IEEE Trans. Geosci. Remote. Sens., 2014
2013
An application of ANN for mountainous snow cover fraction mapping with MODIS and ancillary topographic data.
Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013