Fusing Earth observation and socioeconomic data to increase the transferability of large-scale urban land use classification

Solar park detection from publicly available satellite imagery

(2022) Veerle Plakman et al.   GIScience & Remote Sensing

Mapping essential urban land use categories with open big data: Results for five metropolitan areas in the United States of America

(2021) Bin Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Uncovering the Nature of Urban Land Use Composition Using Multi-Source Open Big Data with Ensemble Learning

(2021) Ying Tu et al.   Remote Sensing

Stimulating Implementation of Sustainable Development Goals and Conservation Action: Predicting Future Land Use/Cover Change in Virunga National Park, Congo

(2020) Mads Christensen et al.   Sustainability

Deep learning-based remote and social sensing data fusion for urban region function recognition

(2020) Rui Cao et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

A New Remote Sensing Images and Point-of-Interest Fused (RPF) Model for Sensing Urban Functional Regions

(2020) Shengyu Xu et al.   Remote Sensing

POI Mining for Land Use Classification: A Case Study

(2020) Renato Andrade et al.   ISPRS International Journal of Geo-Information

Integration of Convolutional Neural Networks and Object-Based Post-Classification Refinement for Land Use and Land Cover Mapping with Optical and SAR Data

(2019) Shengjie Liu et al.   Remote Sensing

Semantic segmentation of slums in satellite images using transfer learning on fully convolutional neural networks

(2019) Michael Wurm et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Deep learning in remote sensing applications: A meta-analysis and review

(2019) Lei Ma et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Understanding urban landuse from the above and ground perspectives: A deep learning, multimodal solution

(2019) Shivangi Srivastava et al.   REMOTE SENSING OF ENVIRONMENT

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

(2019) Patrick Helber et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

The Potential of Open Geodata for Automated Large-Scale Land Use and Land Cover Classification

(2019) Patrick Leinenkugel et al.   Remote Sensing

Mapping essential urban land use categories in China (EULUC-China): preliminary results for 2018

(2019) Peng Gong et al.   Science Bulletin

Open Data for Global Multimodal Land Use Classification: Outcome of the 2017 IEEE GRSS Data Fusion Contest

(2018) Naoto Yokoya et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Building instance classification using street view images

(2018) Jian Kang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Monitoring and predicting land use and land cover changes using remote sensing and GIS techniques—A case study of a hilly area, Jiangle, China

(2018) Chen Liping et al.   PLoS One

Urban land-use mapping using a deep convolutional neural network with high spatial resolution multispectral remote sensing imagery

(2018) Bo Huang et al.   REMOTE SENSING OF ENVIRONMENT

Very Deep Convolutional Neural Networks for Complex Land Cover Mapping Using Multispectral Remote Sensing Imagery

(2018) Masoud Mahdianpari et al.   Remote Sensing

Going Deeper With Contextual CNN for Hyperspectral Image Classification

(2017) Hyungtae Lee et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Hierarchical semantic cognition for urban functional zones with VHR satellite images and POI data

(2017) Xiuyuan Zhang et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

The world’s user-generated road map is more than 80% complete

(2017) Christopher Barrington-Leigh et al.   PLoS One

Combining satellite imagery and machine learning to predict poverty

(2016) N. Jean et al.   SCIENCE

Global land cover mapping at 30m resolution: A POK-based operational approach

(2015) Jun Chen et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Spectral–spatial classification of hyperspectral images using deep convolutional neural networks

(2015) Jun Yue et al.   Remote Sensing Letters

A highly detailed land-use vector map for Madrid region based on photo-interpretation

(2014) Jaime Díaz-Pacheco et al.   Journal of Maps

High-Resolution Satellite Imagery Is an Important yet Underutilized Resource in Conservation Biology

(2014) Sarah A. Boyle et al.   PLoS One

Development and Applications of a Comprehensive Land Use Classification and Map for the US

(2014) David M. Theobald   PLoS One

TanDEM-X mission—new perspectives for the inventory and monitoring of global settlement patterns

(2012) Thomas Esch et al.   Journal of Applied Remote Sensing