Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data-Reference-Cited by-同舟云学术

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Support vector regression for high-resolution beach surface moisture estimation from terrestrial LiDAR intensity data

Published:2021-10 Issue: Volume:102 Page:102458
ISSN:0303-2434
Container-title:International Journal of Applied Earth Observation and Geoinformation
language:en
Short-container-title:International Journal of Applied Earth Observation and Geoinformation

Author:

Jin Junling,Verbeurgt Jeffrey,De Sloover Lars,Stal Cornelis,Deruyter Greet,Montreuil Anne-Lise,Vos Sander,De Maeyer Philippe,De Wulf Alain

Publisher

Elsevier BV

Subject

Management, Monitoring, Policy and Law,Computers in Earth Sciences,Earth-Surface Processes,Global and Planetary Change

Reference86 articles.

1. Estimating soil moisture using remote sensing data: A machine learning approach;Ahmad;Adv. Water Resour.,2010

2. An evapotranspiration model self-calibrated from remotely sensed surface soil moisture, land surface temperature and vegetation cover fraction: application to disaggregated SMOS and MODIS data;Ait Hssaine;Hydrol. Earth Syst. Sci.,2020

3. Review of machine learning approaches for biomass and soil moisture retrievals from remote sensing data;Ali;Remote Sens.,2015

4. Remote sensing of soil surface properties;Anderson;Prog. Phys. Geogr.,2009

5. Aeolian sand transport over complex intertidal bar-trough beach topography;Anthony;Geomorphology,2009

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1. Landslide susceptibility assessment using novel hybridized methods based on the support vector regression;Ecological Engineering;2024-11

2. Sentinel-1 Backscatter and Interferometric Coherence for Soil Moisture Retrieval in Winter Wheat Fields Within a Semiarid South-Mediterranean Climate: Machine Learning Versus Semiempirical Models;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024

3. TOWARDS ASSESSING SANDSTONE SURFACE MOISTURE AND DEGRADATION LEVEL FROM RADIOMETRICALLY CORRECTED TLS INTENSITY DATA;ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences;2023-12-05

4. Field evaluation of semi‐automated moisture estimation from geophysics using machine learning;Vadose Zone Journal;2023-02-02

5. Recognition of ecological vegetation fairy circles in intertidal salt marshes from UAV LiDAR point clouds;International Journal of Applied Earth Observation and Geoinformation;2022-11

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