Land Use and Land Cover Classification in Google Earth Engine Using Sentinel-2 Based Random Forest: A Case Study of Katsina State, Nigeria

Record type:

paper

Creator:

IsmNar

Publisher:

Atl

Host:

Visit

Tasks

computer vision image classification

Languages

Licenses

https://creativecommons.org/licenses/by-nc/4.0 https://creativecommons.org/licenses/by-nc/4.0

Similar

Assessing Four Decades of Land Use and Land Cover Dynamics in Mbeya, Tanzania Through Google Earth Engine and Random Forest ClassificationAutomatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth EngineProducing a High-Resolution Land Cover Map for Southwest Ethiopia Using Sentinel-2 Images and Google Earth EngineLand Use and Land Cover Change Impacts: A Google Earth Engine–Based Analysis of Kiambu County, KenyaGoogle Earth Engine (GEE) Sentinel-2 land cover classification and Landsat harmonised time series analyses from 1990 until 2020Monitoring Urban Expansion And Land Use/Land Cover Changes In Banadir, Somalia Using Google Earth Engine (GEE)

Assessing Four Decades of Land Use and Land Cover Dynamics in Mbeya, Tanzania Through Google Earth Engine and Random Forest Classification

Land use/land cover (LULC) change is a major environmental challenge affecting watershed ecosystems

Automatic High-Resolution Land Cover Production in Madagascar Using Sentinel-2 Time Series, Tile-Based Image Classification and Google Earth Engine

Madagascar, one of Earth’s biodiversity hotpots, is characterized by heterogeneous landscapes and hu

Producing a High-Resolution Land Cover Map for Southwest Ethiopia Using Sentinel-2 Images and Google Earth Engine

<p>Accurate knowledge of local land cover and land use and their changes is crucial fo

Land Use and Land Cover Change Impacts: A Google Earth Engine–Based Analysis of Kiambu County, Kenya

Land Use Land Cover Change is an exercise practised globally with massive benefits. Though done via

Google Earth Engine (GEE) Sentinel-2 land cover classification and Landsat harmonised time series analyses from 1990 until 2020

This dataset was used to produce land cover change analyses for chapters two and three

Monitoring Urban Expansion And Land Use/Land Cover Changes In Banadir, Somalia Using Google Earth Engine (GEE)

Abstract Land Use Land Cover (LULC) changes in the Banadir region are rapidly chang