Jinliang Hou

Orcid: 0000-0001-8127-7092

According to our database1, Jinliang Hou authored at least 24 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

Time Series Remote Sensing Image Classification Using Feature Relationship Learning.
IEEE Trans. Geosci. Remote. Sens., 2024

Basin Scale Soil Moisture Estimation with Grid SWAT and LESTKF Based on WSN.
Sensors, 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
Water Level Change of Qinghai Lake from ICESat and ICESat-2 Laser Altimetry.
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
OpenMP parallelization of a gridded SWAT (SWATG).
Comput. Geosci., 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


  Loading...