#Methods for urban land usage classification

##References:

Mapping Slums with Medium Resolution Satellite Imagery: a Comparative Analysis of Multi-Spectral Data and Grey-level Co-occurrence Matrix Techniques <- 0j0

Using open data to detect the structure and pattern of informal settlements: an outset to support inclusive SDGs’ achievement

Exploring the impacts of urban expansion on green spaces availability and delivery of ecosystem services in the Accra metropolis

Recommended Practice: Land Cover Change Detection through Supervised Classification

U-Net for Semantic Segmentation on Unbalanced Aerial Imagery

New Land Use Mapping Paints a Clearer Picture of Urban Life

Mapping the maximum extents of urban green spaces in 1039 cities using dense satellite images

Integrating remote sensing and geospatial big data for urban land use mapping: A review

Mapping horizontal and vertical urban densification in Denmark with Landsat time-series from 1985 to 2018: A semantic segmentation solution

Mapping essential urban land use categories (EULUC) using geospatial big data: Progress, challenges, and opportunities

Machine Learning with Earth Observation Imagery. Amazon Web Srvices video

Detailed Urban Land Use Land Cover Classification at the Metropolitan Scale Using a Three-Layer Classification Scheme

Using satellite data to monitor land-use land-cover change in North-eastern Latvia

Land cover and land use classification performance of machine learning algorithms in a boreal landscape using Sentinel-2 data

From Land Cover Map to Land Use Map: A Combined Pixel-Based and Object-Based Approach Using Multi-Temporal Landsat Data, a Random Forest Classifier, and Decision Rules

By Global Pulse

Humanitarian applications of machine learning with remote-sensing data: review and case study in refugee settlement mapping

PulseSatellite: A tool using human-AI feedback loops for satellite image analysis in humanitarian contexts

##Green Areas Modelling Accessibility to Urban Green Areas Using Open Earth Observations Data: A Novel Approach to Support the Urban SDG in Four European Cities - Uses NDVI

##Land Classification Strandards:

Land Cover and Land Use of the Basic Set of Environment Statistics of the FDES 2013

##Imagery:

Sentinel Hub is an engine for processing of petabytes of satellite data. It makes Sentinel, Landsat, and other Earth observation imagery easily accessible for browsing, visualization and analysis. . App access here: [https://apps.sentinel-hub.com/]