Qiong Hu
Affiliations:- Central China Normal University, School of Urban and Environmental Sciences, Wuhan, China
- Ministry of Agriculture, Key Laboratory of Agri-informatics, Beijing, China
- Chinese Academy of Agricultural Sciences, Institute of Agricultural Resources and Regional Planning, Beijing, China
According to our database1,
Qiong Hu
authored at least 13 papers
between 2013 and 2024.
Collaborative distances:
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Bibliography
2024
Understanding the potentials of early-season crop type mapping by using Landsat-8, Sentinel-1/2, and GF-1/6 data.
Comput. Electron. Agric., 2024
2022
Comparison of Vegetation Phenology Derived from Solar-Induced Chlorophyll Fluorescence and Enhanced Vegetation Index, and Their Relationship with Climatic Limitations.
Remote. Sens., 2022
Remote. Sens., 2022
An Adaptive Image Segmentation Method with Automatic Selection of Optimal Scale for Extracting Cropland Parcels in Smallholder Farming Systems.
Remote. Sens., 2022
Exploring the potential of Chinese GF-6 images for crop mapping in regions with complex agricultural landscapes.
Int. J. Appl. Earth Obs. Geoinformation, 2022
2021
An Object- and Topology-Based Analysis (OTBA) Method for Mapping Rice-Crayfish Fields in South China.
Remote. Sens., 2021
2020
Evaluation of Global Decametric-Resolution LAI, FAPAR and FVC Estimates Derived from Sentinel-2 Imagery.
Remote. Sens., 2020
2019
A phenology-based spectral and temporal feature selection method for crop mapping from satellite time series.
Int. J. Appl. Earth Obs. Geoinformation, 2019
2018
Estimating Sub-Pixel Soybean Fraction from Time-Series MODIS Data Using an Optimized Geographically Weighted Regression Model.
Remote. Sens., 2018
Int. J. Appl. Earth Obs. Geoinformation, 2018
2017
In-Season Crop Mapping with GF-1/WFV Data by Combining Object-Based Image Analysis and Random Forest.
Remote. Sens., 2017
2016
Extending the Pairwise Separability Index for Multicrop Identification Using Time-Series MODIS Images.
IEEE Trans. Geosci. Remote. Sens., 2016
2013
Exploring the Use of Google Earth Imagery and Object-Based Methods in Land Use/Cover Mapping.
Remote. Sens., 2013