Long-term mapping of land use and cover changes using Landsat images on the Google Earth Engine Cloud Platform in bay area - A case study of Hangzhou Bay, China-Reference-Cited by-同舟云学术

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Long-term mapping of land use and cover changes using Landsat images on the Google Earth Engine Cloud Platform in bay area - A case study of Hangzhou Bay, China

Published:2023-09 Issue: Volume:7 Page:100061
ISSN:2772-7378
Container-title:Sustainable Horizons
language:en
Short-container-title:Sustainable Horizons

Author:

Liang Jintao,Chen Chao^ORCID,Song Yongze,Sun Weiwei,Yang Gang

Publisher

Elsevier BV

Reference69 articles.

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

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4. Monitoring tropical forest degradation using spectral unmixing and Landsat time series analysis;Bullock;Remote Sens. Environ.,2020

5. Extraction of water body information from remote sensing imagery while considering greenness and wetness based on Tasseled Cap transformation;Chen;Remote Sens,2022

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1. Tracking dynamics characteristics of tidal flats using landsat time series and Google Earth Engine cloud platform;Resources, Conservation and Recycling;2024-10

2. Spatio-temporal land use and land cover change assessment: Insights from the Ouémé River Basin;Scientific African;2024-09

3. An integrated GEE and machine learning framework for detecting ecological stability under land use/land cover changes;Global Ecology and Conservation;2024-09

4. Remote-sensing-based Approach to Analysis of Thermal Environment for Island-type City;Sensors and Materials;2024-07-31

5. Identifying Temporal Change in Urban Water Bodies Using OpenStreetMap and Landsat Imagery: A Study of Hangzhou City;Remote Sensing;2024-07-14

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