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Kun Jia

affiliation not provided to SSRN

SCHOLARLY PAPERS

3

DOWNLOADS

222

TOTAL CITATIONS

1

Scholarly Papers (3)

1.

Land Surface Disturbance Detection Via Manifold Learning-Based Satellite Image Time Series Forecasting

Number of pages: 37 Posted: 17 Jun 2024
affiliation not provided to SSRN, Beijing Normal University (BNU), Zhejiang University, Beijing Normal University, affiliation not provided to SSRN, affiliation not provided to SSRN, Beijing Normal University (BNU) - Faculty of Geographical Science, affiliation not provided to SSRN and Beijing Normal University (BNU)
Downloads 118 (617,542)
Citation 1

Abstract:

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Land disturbances detection, Time-series, Dimension reduction, Anomaly detection, Manifold learning

Improving Evapotranspiration Partitioning by Integrating Satellite Vegetation Parameters into a Land Surface Model

Number of pages: 37 Posted: 30 Apr 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Hong Kong - University of Hong Kong, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Hong Kong - University of Hong Kong and affiliation not provided to SSRN
Downloads 41 (1,196,631)

Abstract:

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Evapotranspiration partitioning, Land surface model, Dynamic vegetation, Satellite vegetation

Improving Evapotranspiration Partitioning by Integrating Satellite Vegetation Parameters into a Land Surface Model

Number of pages: 37 Posted: 25 Jun 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Hong Kong - University of Hong Kong, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, The University of Hong Kong - University of Hong Kong and affiliation not provided to SSRN
Downloads 22 (1,486,852)

Abstract:

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Evapotranspiration partitioning, Land surface model, Dynamic vegetation, Satellite vegetation, Leaf area index, Fraction of vegetation coverage

3.

Water-Surface Anomaly Type Identification Based on Deep Multisphere Decision Boundaries using Remote Sensing Data

Number of pages: 23 Posted: 26 Nov 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Beijing Normal University (BNU), Beijing Normal University and Beijing Normal University (BNU)
Downloads 41 (1,183,237)

Abstract:

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Earth's surface anomalies, Immediate remote sensing, Remote sensing features, Decision boundary