Cargando…

Mapping and spatiotemporal dynamics of land-use and land-cover change based on the Google Earth Engine cloud platform from Landsat imagery: A case study of Zhoushan Island, China

Land resources are an essential foundation for socioeconomic development. Island land resources are limited, the type changes are particularly frequent, and the environment is fragile. Therefore, large-scale, long-term, and high-accuracy land-use classification and spatiotemporal characteristic anal...

Descripción completa

Detalles Bibliográficos
Autores principales:	Chen, Chao, Yang, Xuebing, Jiang, Shenghui, Liu, Zhisong
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2023
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10558908/ https://www.ncbi.nlm.nih.gov/pubmed/37809681 http://dx.doi.org/10.1016/j.heliyon.2023.e19654

Ejemplares similares

Mapping land cover change over continental Africa using Landsat and Google Earth Engine cloud computing
por: Midekisa, Alemayehu, et al.
Publicado: (2017)

Analysis of regional economic development based on land use and land cover change information derived from Landsat imagery
por: Chen, Chao, et al.
Publicado: (2020)

Land Cover Change in the Central Region of the Lower Yangtze River Based on Landsat Imagery and the Google Earth Engine: A Case Study in Nanjing, China
por: Zhang, Dong-Dong, et al.
Publicado: (2020)

Land Use and Land Cover Change in Guangzhou, China, from 1998 to 2003, Based on Landsat TM /ETM+ Imagery
por: Fan, Fenglei, et al.
Publicado: (2007)

Assessing multi-decadal land-cover – land-use change in two wildlife protected areas in Tanzania using Landsat imagery
por: Mtui, Devolent T., et al.
Publicado: (2017)

Mapping of Land Cover with Optical Images, Supervised Algorithms, and Google Earth Engine
por: Pech-May, Fernando, et al.
Publicado: (2022)

Land Cover Changes Utilising Landsat Satellite Imageries for the Kumasi Metropolis and Its Adjoining Municipalities in Ghana (1986–2022)
por: Frimpong, Bernard Fosu, et al.
Publicado: (2023)

Mapping and monitoring land use land cover dynamics employing Google Earth Engine and machine learning algorithms on Chattogram, Bangladesh
por: Biswas, Jayanta, et al.
Publicado: (2023)

Effect of Land Cover Fractions on Changes in Surface Urban Heat Islands Using Landsat Time-Series Images
por: Chen, Tao, et al.
Publicado: (2019)

Predicting changes in land use/land cover and seasonal land surface temperature using multi-temporal landsat images in the northwest region of Bangladesh
por: Kafy, Abdulla - Al, et al.
Publicado: (2021)

Development of Land-Use/Land-Cover Maps Using Landsat-8 and MODIS Data, and Their Integration for Hydro-Ecological Applications
por: Afrin, Sadia, et al.
Publicado: (2019)

Mapping, intensities and future prediction of land use/land cover dynamics using google earth engine and CA- artificial neural network model
por: Osman, Maysoon A. A., et al.
Publicado: (2023)

Graph Neural Network-Based Method of Spatiotemporal Land Cover Mapping Using Satellite Imagery
por: Kavran, Domen, et al.
Publicado: (2023)

Vegetation Types Mapping Using Multi-Temporal Landsat Images in the Google Earth Engine Platform
por: Aghababaei, Masoumeh, et al.
Publicado: (2021)

A spatiotemporal ensemble machine learning framework for generating land use/land cover time-series maps for Europe (2000–2019) based on LUCAS, CORINE and GLAD Landsat
por: Witjes, Martijn, et al.
Publicado: (2022)

Mapping land cover on Reunion Island in 2017 using satellite imagery and geospatial ground data
por: Dupuy, Stéphane, et al.
Publicado: (2019)

Improvement in the Accuracy of the Postclassification of Land Use and Land Cover Using Landsat 8 Data Based on the Majority of Segment-Based Filtering Approach
por: Yulianto, Fajar, et al.
Publicado: (2021)

Using ASTER Imagery in Land Use/cover Classification of Eastern Mediterranean Landscapes According to CORINE Land Cover Project
por: Yüksel, Alaaddin, et al.
Publicado: (2008)

Assessing variations in land cover-land use and surface temperature dynamics for Dehradun, India, using multi-time and multi-sensor landsat data
por: Mishra, Kavach, et al.
Publicado: (2023)

Evaluating the impact of land use and land cover changes on forest ecosystem service values using landsat dataset in the Atwima Nwabiagya North, Ghana
por: Baidoo, Richard, et al.
Publicado: (2023)

A national-scale assessment of land use change in peatlands between 1989 and 2020 using Landsat data and Google Earth Engine—a case study of Ireland
por: Habib, Wahaj, et al.
Publicado: (2023)

Land use and land cover changes influence the land surface temperature and vegetation in Penang Island, Peninsular Malaysia
por: Akomolafe, Gbenga F., et al.
Publicado: (2022)

Data on land use and land cover changes in Adama Wereda, Ethiopia, on ETM+, TM and OLI- TIRS landsat sensor using PCC and CDM techniques
por: Abdul Athick, A.S. Mohammed, et al.
Publicado: (2019)

Identification and Spatial Analysis of Land Salinity in China’s Yellow River Delta Using a Land Salinity Monitoring Index from Harmonized UAV-Landsat Imagery
por: Jiang, Liping, et al.
Publicado: (2023)

Land use and land cover data changes in Indian Ocean Islands: Case study of Unguja in Zanzibar Island
por: Mwalusepo, Sizah, et al.
Publicado: (2017)

Assessing land use and land cover changes and agricultural farmland expansions in Gambella Region, Ethiopia, using Landsat 5 and Sentinel 2a multispectral data
por: Degife, Azeb W., et al.
Publicado: (2018)

Multi-Feature Classification of Multi-Sensor Satellite Imagery Based on Dual-Polarimetric Sentinel-1A, Landsat-8 OLI, and Hyperion Images for Urban Land-Cover Classification
por: Zhou, Tao, et al.
Publicado: (2018)

Enabling country-scale land cover mapping with meter-resolution satellite imagery
por: Tong, Xin-Yi, et al.
Publicado: (2023)

Land-Cover Changes to Surface-Water Buffers in the Midwestern USA: 25 Years of Landsat Data Analyses (1993–2017)
por: Berhane, Tedros M., et al.
Publicado: (2020)

Was There Land on the Early Earth?
por: Korenaga, Jun
Publicado: (2021)

Google Cloud Platform for developers: build highly scalable cloud solutions with the power of Google Cloud Platform
por: Hunter, Ted, et al.
Publicado: (2018)

Estimation of Stand Type Parameters and Land Cover Using Landsat-7 ETM Image: A Case Study from Turkey
por: Günlü, Alkan, et al.
Publicado: (2008)

Quantifying Short-Term Urban Land Cover Change with Time Series Landsat Data: A Comparison of Four Different Cities
por: Zhang, Hongsheng, et al.
Publicado: (2018)

Molecular epidemiology and spatiotemporal dynamics of norovirus associated with sporadic acute gastroenteritis during 2013–2017, Zhoushan Islands, China
por: Chen, Can, et al.
Publicado: (2018)

Google Cloud platform in action
por: Geewax, J J
Publicado: (2018)

Generating Daily Synthetic Landsat Imagery by Combining Landsat and MODIS Data
por: Wu, Mingquan, et al.
Publicado: (2015)

Urban Land Use and Land Cover Classification Using Novel Deep Learning Models Based on High Spatial Resolution Satellite Imagery
por: Zhang, Pengbin, et al.
Publicado: (2018)

Google Cloud Platform cookbook: implement, deploy, maintain, and migrate applications on Google Cloud Platform
por: Rajan, Legorie P S
Publicado: (2018)

Mapping the yearly extent of surface coal mining in Central Appalachia using Landsat and Google Earth Engine
por: Pericak, Andrew A., et al.
Publicado: (2018)

Time-series analyses of land surface temperature changes with Google Earth Engine in a mountainous region
por: Rodrigues de Almeida, Cátia, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_dsqv3t8jod1k4vibotha161d9q