Comparison of machine learning classifiers for land cover changes using google earth engine

S Mangkhaseum, A Hanazawa - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Increasing urbanization causes a variety of environmental changes, not only in regional but
in the global scale, especially in developing countries. The developing countries like Lao …

Detection and prediction of land use and land cover changes using deep learning

EF Sherley, A Kumar, Revathy, Divyashree - … Software and Networks …, 2021 - Springer
Our planet Earth is endowed with plenty of natural resources that sustain life for millennia.
Nature provides us with five elements such as water, land, air, sky, and fire. Of these, land is …

Machine learning data-driven approaches for land use/cover mapping and trend analysis using Google Earth Engine

B Feizizadeh, D Omarzadeh… - Journal of …, 2023 - Taylor & Francis
With the recent advances in earth observation technologies, the increasing availability of
data from more and more different satellite sensors as well as progress in semi-automated …

Land Cover Classification using Google Earth Engine's Object-oriented and Machine Learning Classifier

N Ponganan, T Horanont, K Artlert… - 2021 2nd International …, 2021 - ieeexplore.ieee.org
Google Earth Engine (GEE) provides users access to massive amounts of geospatial data
that have been processed, allowing them to implement and combine pixel-based (PB) and …

Analyzing Land Cover Changes over Landsat-7 Data using Google Earth Engine

A Srivastava, S Biswas - 2023 Third International Conference …, 2023 - ieeexplore.ieee.org
For various decision support systems, the detection of land use and land cover (LULC)
change based on remote sensing data is a crucial source of information. Land conservation …

Land cover change in Badung Regency 2016-2020: An approach using machine learning method: Random Forest & Extreme Gradient Boost (XGB)

S Arfah, DB Sencaki, ZDO Permata… - 2021 IEEE Asia …, 2021 - ieeexplore.ieee.org
Badung Regency is one area that mostly suffered from Covid-19 pandemic. Their gross
regional domestic product has decreased 21.5% from 2019 to 2020 because of …

Leveraging Google Earth Engine (GEE) for determining land use and land cover changes around Tasik Chini Malaysia.

NSM Akhir, PM Salim, ZM Yusoff - IOP Conference Series: Earth …, 2023 - iopscience.iop.org
This study explores the capability of Google Earth Engine in determining land use and land
cover changes around Tasik Chini Malaysia which is one of the tourism areas severely …

Google earth engine for landsat image processing and monitoring land use/land cover changes in the johor river basin, malaysia

CS Kang, KD Kanniah… - 2021 IEEE International …, 2021 - ieeexplore.ieee.org
Johor River Basin (JRB), located in the state of Johor in southern Peninsular Malaysia is an
important ecosystem providing freshwater and supporting people of the rapidly developing …

Land cover classification and change detection analysis of multispectral satellite images using machine learning

NS Thwal, T Ishikawa… - Image and Signal …, 2019 - spiedigitallibrary.org
Land cover classification and change detection analysis based on remote sensing images
using machine learning algorithm has become one of the important factors for environmental …

Utilization of Google earth engine (GEE) for land cover monitoring over Klang Valley, Malaysia

NA Wahap, HZM Shafri - IOP Conference Series: Earth and …, 2020 - iopscience.iop.org
Abstract Geospatial Big Data is currently received overwhelming attention and are on
highlight globally and Google Earth Engine (GEE) is currently the hot pot platform to cater …