Xiang Zhang
Orcid: 0000-0002-1017-742XAffiliations:
- Wuhan University, State Key Laboratory of Information Engineering in Surveying, Mapping, and Remote Sensing, China
- Purdue University, Department of Agronomy, West Lafayette, IN, USA (former)
According to our database1,
Xiang Zhang
authored at least 40 papers
between 2013 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
-
on orcid.org
On csauthors.net:
Bibliography
2024
Exploring Spatial Non-Stationarity and Scale Effects of Natural and Anthropogenic Factors on Net Primary Productivity of Vegetation in the Yellow River Basin.
Remote. Sens., September, 2024
Flood Inundation Probability Estimation by Integrating Physical and Social Sensing Data: Case Study of 2021 Heavy Rainfall in Henan, China.
Remote. Sens., August, 2024
Balancing Flood Control and Economic Development in Flood Detention Areas of the Yangtze River Basin.
ISPRS Int. J. Geo Inf., April, 2024
Global-Scale Assessment of Multiple Recently Developed/Reprocessed Remotely Sensed Soil Moisture Datasets.
IEEE Trans. Geosci. Remote. Sens., 2024
Assessing the responsiveness of multiple microwave remote sensing vegetation optical depth indices to drought on crops in Midwest US.
Int. J. Appl. Earth Obs. Geoinformation, 2024
2023
Multi-sensor integration management in the earth observation sensor web: State-of-the-art and research challenges.
Int. J. Appl. Earth Obs. Geoinformation, December, 2023
Decoupling Effect and Driving Factors of Land-Use Carbon Emissions in the Yellow River Basin Using Remote Sensing Data.
Remote. Sens., September, 2023
Remote. Sens., July, 2023
Soil Moisture Retrieval from the Integration of SMAP and ASCAT Using Machine Learning Approach.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
Could L-Band Soil Moisture Products Capture the Soil Moisture Climatology Variations in Tropical Rainforests?
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2023
2022
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2022
Deep Learning-Based 500 m Spatio-Temporally Continuous Air Temperature Generation by Fusing Multi-Source Data.
Remote. Sens., 2022
2021
A Novel Strategy to Reconstruct NDVI Time-Series with High Temporal Resolution from MODIS Multi-Temporal Composite Products.
Remote. Sens., 2021
8-Day and Daily Maximum and Minimum Air Temperature Estimation via Machine Learning Method on a Climate Zone to Global Scale.
Remote. Sens., 2021
Generating 1 km Spatially Seamless and Temporally Continuous Air Temperature Based on Deep Learning over Yangtze River Basin, China.
Remote. Sens., 2021
Next-Generation Soil Moisture Sensor Web: High-Density In Situ Observation Over NB-IoT.
IEEE Internet Things J., 2021
Complex., 2021
Complex., 2021
Assessment of Four Model-Based Surface Soil Temperature Products Unsing Global Dense in Situ Observations.
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2021
2020
Spatial Configuration and Extent Explains the Urban Heat Mitigation Potential due to Green Spaces: Analysis over Addis Ababa, Ethiopia.
Remote. Sens., 2020
Mapping Paddy Rice Fields by Combining Multi-Temporal Vegetation Index and Synthetic Aperture Radar Remote Sensing Data Using Google Earth Engine Machine Learning Platform.
Remote. Sens., 2020
A Risk Assessment Framework of Cyanobacteria Bloom Using Landsat Data: A Case Study of Lake Longgan (China).
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, 2020
2019
Fast and Automatic Reconstruction of Semantically Rich 3D Indoor Maps from Low-quality RGB-D Sequences.
Sensors, 2019
Multilayer Soil Moisture Mapping at a Regional Scale from Multisource Data via a Machine Learning Method.
Remote. Sens., 2019
2018
Proceedings of the 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
2017
Remote. Sens., 2017
A Machine Learning Based Reconstruction Method for Satellite Remote Sensing of Soil Moisture Images with In Situ Observations.
Remote. Sens., 2017
Correction: Chen, N. et al. NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on OzNet in Southeastern Australia. <i>Remote Sens</i>. 2017, 9, 51.
Remote. Sens., 2017
NIR-Red Spectra-Based Disaggregation of SMAP Soil Moisture to 250 m Resolution Based on SMAPEx-4/5 in Southeastern Australia.
Remote. Sens., 2017
Global dynamics of sun-induced chlorophyll fluorescence from 2007 to 2016: Lead time predictability and large scale drivers.
Proceedings of the 2017 6th International Conference on Agro-Geoinformatics, 2017
2016
Reconstruction of GF-1 Soil Moisture Observation Based on Satellite and In Situ Sensor Collaboration Under Full Cloud Contamination.
IEEE Trans. Geosci. Remote. Sens., 2016
2015
IEEE Trans. Geosci. Remote. Sens., 2015
Integrated open geospatial web service enabled cyber-physical information infrastructure for precision agriculture monitoring.
Comput. Electron. Agric., 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015
2014
A Dynamic Observation Capability Index for Quantitatively Pre-Evaluating Diverse Optical Imaging Satellite Sensors.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2014
Spatial Pattern and Temporal Variation Law-Based Multi-Sensor Collaboration Method for Improving Regional Soil Moisture Monitoring Capabilities.
Remote. Sens., 2014
2013
Scientific Issues and Progress of the Chinese Integrated Earth Observation Sensor Web Project.
Proceedings of the IEEE International Conference on Systems, 2013