Hao Jiang
Orcid: 0000-0002-5122-0412Affiliations:
- Guangzhou Institute of Geography, Guangdong Open Laboratory of Geospatial Information Technology and Application, China
- Chinese Academy of Sciences, Institute of Geographic Sciences and Natural Resources Research, Beijing, China (former)
According to our database1,
Hao Jiang
authored at least 19 papers
between 2014 and 2024.
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Bibliography
2024
How frequent the Landsat 8/9-Sentinel 2A/B virtual constellation observed the earth for continuous time series monitoring.
Int. J. Appl. Earth Obs. Geoinformation, 2024
Croplayer-China: A 2-Meter Resolution Cropland Map of China Based on Active Learning of Segmentation with Mapbox and Google Satellite Imagery.
Proceedings of the IGARSS 2024, 2024
2023
A Decision-Tree Approach to Identifying Paddy Rice Lodging with Multiple Pieces of Polarization Information Derived from Sentinel-1.
Remote. Sens., January, 2023
2021
Remote Sensing Estimation of Chlorophyll-A in Case-II Waters of Coastal Areas: Three-Band Model Versus Genetic Algorithm-Artificial Neural Networks Model.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021
Integrating Spectral Information and Meteorological Data to Monitor Wheat Yellow Rust at a Regional Scale: A Case Study.
Remote. Sens., 2021
Phenology Effects on Physically Based Estimation of Paddy Rice Canopy Traits from UAV Hyperspectral Imagery.
Remote. Sens., 2021
Estimation of Paddy Rice Nitrogen Content and Accumulation Both at Leaf and Plant Levels from UAV Hyperspectral Imagery.
Remote. Sens., 2021
2020
Downscaling Aster Land Surface Temperature over Urban Areas with Machine Learning-Based Area-To-Point Regression Kriging.
Remote. Sens., 2020
ISPRS Int. J. Geo Inf., 2020
2019
Evaluation of Three Deep Learning Models for Early Crop Classification Using Sentinel-1A Imagery Time Series - A Case Study in Zhanjiang, China.
Remote. Sens., 2019
Early Season Mapping of Sugarcane by Applying Machine Learning Algorithms to Sentinel-1A/2 Time Series Data: A Case Study in Zhanjiang City, China.
Remote. Sens., 2019
2018
Machine Learning for Estimating Leaf Dust Retention Based on Hyperspectral Measurements.
J. Sensors, 2018
Comput. Electron. Agric., 2018
2017
Spatiotemporal Analysis of MODIS Land Surface Temperature With In Situ Meteorological Observation and ERA-Interim Reanalysis: The Option of Model Calibration.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017
Reconstructing Satellite-Based Monthly Precipitation over Northeast China Using Machine Learning Algorithms.
Remote. Sens., 2017
Papaya Tree Detection with UAV Images Using a GPU-Accelerated Scale-Space Filtering Method.
Remote. Sens., 2017
2016
Winter Wheat Leaf Area Index (LAI) Inversion Combining with HJ-1/CCD1 and GF-1/WFV1 Data.
Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016
Leaf Area Index Estimation of Winter Pepper Based on Canopy Spectral Data and Simulated Bands of Satellite.
Proceedings of the Geo-Spatial Knowledge and Intelligence, 2016
2014
Remote. Sens., 2014