Sijia Li

Orcid: 0000-0003-4605-0612

Affiliations:
  • Chinese Academy of Sciences, Northeast Institute of Geography and Agroecology, Key Laboratory of Wetland Ecology and Environment, Changchun, China


According to our database1, Sijia Li authored at least 14 papers between 2016 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
Orchard plantation mapping using remote sensing phenological feature fusion and interpretable ML algorithms in Hunan Province, China.
Ecol. Informatics, 2026

2025
Phenology-adapted potato mapping index (PMI) for ground sample-free identification.
Int. J. Appl. Earth Obs. Geoinformation, 2025

2024
Comparison of Machine Learning Algorithms for Estimating Global Lake Clarity With Landsat TOA Data.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
Satellite Estimation of pCO2 and Quantification of CO2 Fluxes in China's Chagan Lake in the Context of Climate Change.
Remote. Sens., December, 2023

Soil Texture Mapping in Songnen Plain of China Using Sentinel-2 Imagery.
Remote. Sens., November, 2023

Retrieval of Chla Concentrations in Lake Xingkai Using OLCI Images.
Remote. Sens., August, 2023

Performances of Atmospheric Correction Processors for Sentinel-2 MSI Imagery Over Typical Lakes Across China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2023

Lake Turbidity Mapping Using an OWTs-bp Based Framework and Sentinel-2 Imagery.
Remote. Sens., 2023

2022
Remote Sensing of Chlorophyll-a in Xinkai Lake Using Machine Learning and GF-6 WFV Images.
Remote. Sens., 2022

Analysis of Spatio-Temporal Dynamics of Chinese Inland Water Clarity at Multiple Spatial Scales between 1984 and 2018.
Remote. Sens., 2022

2021
Remote Sensing of Turbidity for Lakes in Northeast China Using Sentinel-2 Images With Machine Learning Algorithms.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Using Remote Sensing to Understand the Total Suspended Matter Dynamics in Lakes Across Inner Mongolia.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

A Review of Quantifying pCO2 in Inland Waters with a Global Perspective: Challenges and Prospects of Implementing Remote Sensing Technology.
Remote. Sens., 2021

2016
Evaluation of the Quasi-Analytical Algorithm (QAA) for Estimating Total Absorption Coefficient of Turbid Inland Waters in Northeast China.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2016


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