Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data-Reference-Cited by-同舟云学术

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Development of a 30 m resolution global sand dune/sheet classification map (GSDS30) using multi-source remote sensing data

Published:2024-03 Issue: Volume:302 Page:113973
ISSN:0034-4257
Container-title:Remote Sensing of Environment
language:en
Short-container-title:Remote Sensing of Environment

Author:

Zheng Zhijia,Yu Jinsongdi,Zhang Xiuyuan,Du Shihong

Funder

Natural Science Foundation of Fujian Province

National Key Research and Development Program of China

National Key Research and Development Program of China Stem Cell and Translational Research

Publisher

Elsevier BV

Reference78 articles.

1. Investigation of reddening patterns of dune sands—the megabarchans of Al-ghord Lahmar (Khnifiss National Park, south-west of Morocco);Adnani;Catena,2018

2. Improved optical image matching time series inversion approach for monitoring dune migration in North Sinai Sand Sea: algorithm procedure, application, and validation;Ali;ISPRS J. Photogramm. Remote Sens.,2020

3. Calculation of the Rub’al Khali sand dune volume for estimating potential sand sources;Almutlaq;Remote Sens.,2022

4. Random forest in remote sensing: a review of applications and future directions;Belgiu;ISPRS J. Photogramm. Remote Sens.,2016

5. Terrestrial sediments of the earth: development of a global unconsolidated sediments map database (GUM);Börker;Geochem. Geophys. Geosyst.,2018

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