Lianchong Zhang

Orcid: 0000-0001-5902-7126

According to our database1, Lianchong Zhang authored at least 13 papers between 2016 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Impacts of the 20-year war on crop planting and food security in Afghanistan.
Int. J. Digit. Earth, December, 2024

Arctic Sea Ice Concentration Prediction Using Spatial Attention Deep Learning.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024

2022
Flood Detection Using Multiple Chinese Satellite Datasets during 2020 China Summer Floods.
Remote. Sens., 2022

Extracting Disaster-Related Location Information through Social Media to Assist Remote Sensing for Disaster Analysis: The Case of the Flood Disaster in the Yangtze River Basin in China in 2020.
Remote. Sens., 2022

Improved Method to Detect the Tailings Ponds from Multispectral Remote Sensing Images Based on Faster R-CNN and Transfer Learning.
Remote. Sens., 2022

2021
A Benchmark High-Resolution GaoFen-3 SAR Dataset for Building Semantic Segmentation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Precision Evaluation Index System for Remote Sensing Data Sampling Based on Hexagonal Discrete Grids.
ISPRS Int. J. Geo Inf., 2021

2020
Enabling the Big Earth Observation Data via Cloud Computing and DGGS: Opportunities and Challenges.
Remote. Sens., 2020

2019
A Distributed Storage and Access Approach for Massive Remote Sensing Data in MongoDB.
ISPRS Int. J. Geo Inf., 2019

Gap analysis on open data interconnectivity for disaster risk research.
Geo spatial Inf. Sci., 2019

Approach and practice: integrating earth observation resources for data sharing in China GEOSS.
Int. J. Digit. Earth, 2019

2016
An approach for flood inundated duration extraction based on Level Set Method using remote sensing data.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016

Bibliometric analysis on global remote sensing research during 2010-2014.
Proceedings of the 2016 IEEE International Geoscience and Remote Sensing Symposium, 2016


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