Junyao Zhang

Orcid: 0000-0001-6570-5931

Affiliations:
  • Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing, China


According to our database1, Junyao Zhang authored at least 11 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Automated remote sensing monitoring of cropland non-agricultural and non-grain conversion at parcel scale in complex environments through multi-source data fusion.
Geo spatial Inf. Sci., January, 2026

2024
Mapping the fine spatial distribution of global offshore surface seawater mariculture using remote sensing big data.
Int. J. Digit. Earth, December, 2024

Spatial Distribution and Differentiation Analysis of Coastal Aquaculture in China Based on Remote Sensing Monitoring.
Remote. Sens., May, 2024

2023
Mapping of land-based aquaculture regions in Southeast Asia and its Spatiotemporal change from 1990 to 2020 using time-series remote sensing data.
Int. J. Appl. Earth Obs. Geoinformation, November, 2023

A Comparison of Six Forest Mapping Products in Southeast Asia, Aided by Field Validation Data.
Remote. Sens., September, 2023

2022
Remote Sensing Based Conservation Effectiveness Evaluation of Mangrove Reserves in China.
Remote. Sens., 2022

A Field-Data-Aided Comparison of Three 10 m Land Cover Products in Southeast Asia.
Remote. Sens., 2022

Mapping China's offshore mariculture based on dense time-series optical and radar data.
Int. J. Digit. Earth, 2022

Global mapping of the landside clustering of aquaculture ponds from dense time-series 10 m Sentinel-2 images on Google Earth Engine.
Int. J. Appl. Earth Obs. Geoinformation, 2022

2021
Remote Sensing Based Spatial-Temporal Monitoring of the Changes in Coastline Mangrove Forests in China over the Last 40 Years.
Remote. Sens., 2021

Monitoring Coastline Changes of the Malay Islands Based on Google Earth Engine and Dense Time-Series Remote Sensing Images.
Remote. Sens., 2021


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