Multi-temporal, multi-sensor land use/land cover mapping: Google Earth Engine and Random Forest for the classification of the Scottish flow country

QR Code

Multi-temporal, multi-sensor land use/land cover mapping: Google Earth Engine and Random Forest for the classification of the Scottish flow country

Long-term monitoring of Land Use/Land Cover (LULC) dynamics is fundamental for implementing effective policy and mitigating the effects of climate change. In the UK, the Scottish Flow Country represents an area of ~4000km2 spanning Caithness and Sutherland, encompassing 25% of global blanket bogs. T...

Full description

Bibliographic Details
Main Author:	Sutherland, Neil
Format:	Thesis (University of Nottingham only)
Language:	English
Published:	2021
Subjects:	Google Earth Engine (GEE) Random Forest (RF) Sentinel Peatland Land Use Land Cover Mapping (LULC) Pixel-Based Image Classification
Online Access:	https://eprints.nottingham.ac.uk/67186/

Similar Items

Incorporation of historical disturbance identified with landtrendr algorithm for land cover mapping In Malaysia
by: Platt, Daniel Stephen
Published: (2022)

Improving super-resolution mapping through combining multiple super-resolution land-cover maps
by: Li, Xiaodong, et al.
Published: (2016)

Land cover mapping of the Mekong Delta with sentinel-1 synthetic aperture radar
by: Ngo, Duc Khanh
Published: (2024)

A superresolution land-cover change detection method using remotely sensed images with different spatial resolutions
by: Li, Xiaodong, et al.
Published: (2016)

Assessing a temporal change strategy for sub-pixel land cover change mapping from multi-scale remote sensing imagery
by: Ling, Feng, et al.
Published: (2016)

Usability of VGI for validation of land cover maps
by: Fonte, Cidalia, et al.
Published: (2015)

Impact of Land Use and Land Cover Changes on Urban Land Surface Temperature
by: Dewan, Ashraf, et al.
Published: (2013)

Land cover change impacts on the tree density and carbon stock in Sokoto Metropolis, North-Western Nigeria
by: Dangulla, Murtala
Published: (2019)

Monitoring and Prediction of Land-Use and Land-Cover (LULC) Change
by: Corner, Robert Jonathan, et al.
Published: (2013)

Characterising Land Cover Changes in the Niger Delta Caused by Oil Production
by: Kuta, A.A.
Published: (2023)

Using remote sensing and GIS to detect and monitor land use and land cover change in Dhaka Metropolitan of Bangladesh during 1960-2005
by: Dewan, Ashraf, et al.
Published: (2009)

SMURFS: superpixels from multi-scale refinement of super-regions
by: Luengo, Imanol, et al.
Published: (2016)

Dynamics of land use/cover changes and the analysis of landscape fragmentation in Dhaka Metropolitan, Bangladesh
by: Dewan, Ashraf, et al.
Published: (2012)

Mexico City land subsidence in 2014-2015 with Sentinel-1 IW TOPS: results using the Intermittent SBAS (ISBAS) technique
by: Sowter, Andrew, et al.
Published: (2016)

Investigating the feasibility of geo-tagged photographs as sources of land cover input data
by: Antoniou, Vyron, et al.
Published: (2016)

Sustainability and Climate Adaptation: Using Google Earth to Engage Stakeholders
by: Stocker, Laura, et al.
Published: (2012)

The sensitivity of mapping methods to reference data quality: training supervised image classifications with imperfect reference data
by: Foody, Giles M., et al.
Published: (2016)

Factors influencing the accuracy of remote sensing classifications: a comparative study
by: Pal, Mahesh
Published: (2002)

Multi-source data fusion for land use classification using deep learning
by: Cao, Rui
Published: (2021)

Spatio-temporal dynamics of agricultural land use and land use change in Selangor, Malaysia using Dyna-CLUE model
by: Olawale, Olaniyi Akeem
Published: (2013)

Unraveling the effects of google search on volatility of cryptocurrencies
by: Cai, Zhao, et al.
Published: (2018)

Automatic image annotation applied to habitat classification
by: Torres Torres, Mercedes
Published: (2015)

A comparative analysis of landslide mapping techniques using earth observation (EO) data
by: Akanazu, Lilian Akudo
Published: (2025)

Use of hybrid classification algorithm for land use and land cover analysis in data scarce environment
by: Al-Doski, Jwan M. Mohammed
Published: (2013)

Supervised methods of image segmentation accuracy assessment in land cover mapping
by: Costa, Hugo, et al.
Published: (2018)

Rehabilitation of Degraded Peat Swamp Forest in Raja Musa Forest Reserve, Selangor, Malaysia
by: Parlan, Ismail
Published: (2001)

A Robust Cover Generation Technique for Steganography Using 2D Images
by: Ahmad Zawawi, Md. Nabil
Published: (2006)

Land covers and climate impacts on land surface temperature in Putrajaya, Malaysia / Siti Aekbal Salleh … [et al.]
by: Salleh, Siti Aekbal, et al.
Published: (2018)

Agricultural Land Suitability Evaluator Using GIS, Multi Criteria and Sensitivity Analysis
by: Abdalla Elsheikh, Ranya Fadlalla
Published: (2011)

A hyperspectral approach to understand the association between PSM (as measured by InSAR data) and vegetation assemblage for a Scottish peatland
by: Walker, Rachel Z.
Published: (2022)

Relationship of Attributes of Soil and Topography with Land Cover Change in the Rift Valley Basin of Ethiopia
by: Ayele, G.T., et al.
Published: (2022)

Remote sensing and GIS application for monitoring forest management operations
by: Ratnayake, Ranitha
Published: (2004)

An assessment of citizen contributed ground reference data for land cover map accuracy assessment
by: Foody, Giles M.
Published: (2015)

Scrubbing up: multi-scale investigation of woody encroachment in a southern African savannah
by: Marston, Christopher G., et al.
Published: (2017)

Long-term peatland condition assessment via surface motion monitoring using the ISBAS DInSAR technique over the Flow Country, Scotland
by: Alshammari, Lubna, et al.
Published: (2018)

Integrating remote sensing and geospatial big data for urban land use mapping: a review
by: Yin, Jiadi, et al.
Published: (2021)

Peat moisture and water level relationship in a tropical peat swamp forest
by: Nuruddin, Ahmad Ainuddin, et al.
Published: (2006)

Regeneration Potential of the North Selangor Peat Swamp Forest (NSPSF)
by: Dahalan, Muhd. Puat
Published: (2001)

Modeling the effect of land use and land cover changes on long-term rainfall/run-off and non-point source pollution in the upper Kelantan River Basin, Malaysia
by: Abdulkarem, Jabir Haruna
Published: (2018)

Spatial-temporal fraction map fusion with multi-scale remotely sensed images
by: Zhang, Yihang, et al.
Published: (2018)