Using satellite imagery to understand and promote sustainable development

Object-based random forest classification for informal settlements identification in the Middle East: Jeddah a case study

(2020) Ahmad Fallatah et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimating adoption and impacts of agricultural management practices in developing countries using satellite data. A scoping review

(2020) Christoph Kubitza et al.   Agronomy for Sustainable Development

Machine learning can help get COVID-19 aid to those who need it most

(2020) Joshua Blumenstock   NATURE

Using publicly available satellite imagery and deep learning to understand economic well-being in Africa

(2020) Christopher Yeh et al.   Nature Communications

Accounting for Training Data Error in Machine Learning Applied to Earth Observations

(2020) Arthur Elmes et al.   Remote Sensing

GHS-POP Accuracy Assessment: Poland and Portugal Case Study

(2020) Beata Calka et al.   Remote Sensing

Estimating Yields of Household Fields in Rural Subsistence Farming Systems to Study Food Security in Burkina Faso

(2020) Isabel G. Karst et al.   Remote Sensing

Estimating small-area population density in Sri Lanka using surveys and Geo-spatial data

(2020) Ryan Engstrom et al.   PLoS One

Illuminating dark fishing fleets in North Korea

(2020) Jaeyoon Park et al.   Science Advances

Computational social science: Obstacles and opportunities

(2020) David M. J. Lazer et al.   SCIENCE

Mapping Crop Types in Southeast India with Smartphone Crowdsourcing and Deep Learning

(2020) Sherrie Wang et al.   Remote Sensing

Socioecologically informed use of remote sensing data to predict rural household poverty

(2019) Gary R. Watmough et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

A comparison of machine learning approaches for identifying high-poverty counties: robust features of DMSP/OLS night-time light imagery

(2019) Guie Li et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Eyes in the Sky, Boots on the Ground: Assessing Satellite- and Ground-Based Approaches to Crop Yield Measurement and Analysis

(2019) David B Lobell et al.   AMERICAN JOURNAL OF AGRICULTURAL ECONOMICS

County-Level Soybean Yield Prediction Using Deep CNN-LSTM Model

(2019) Jie Sun et al.   SENSORS

Assessment of the Degree of Building Damage Caused by Disaster Using Convolutional Neural Networks in Combination with Ordinal Regression

(2019) Tianyu Ci et al.   Remote Sensing

Using out-of-sample yield forecast experiments to evaluate which earth observation products best indicate end of season maize yields

(2019) Frank M Davenport et al.   Environmental Research Letters

Remote sensing for agricultural applications: A meta-review

(2019) M. Weiss et al.   REMOTE SENSING OF ENVIRONMENT

Sight for Sorghums: Comparisons of Satellite- and Ground-Based Sorghum Yield Estimates in Mali

(2019) David B. Lobell et al.   Remote Sensing

Mapping Paddy Rice Area and Yields Over Thai Binh Province in Viet Nam From MODIS, Landsat, and ALOS-2/PALSAR-2

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

Spatially disaggregated population estimates in the absence of national population and housing census data

(2018) N. A. Wardrop et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Tracking the global footprint of fisheries

(2018) David A. Kroodsma et al.   SCIENCE

3D Convolutional Neural Networks for Crop Classification with Multi-Temporal Remote Sensing Images

(2018) Shunping Ji et al.   Remote Sensing

Accuracy Assessment of Multi-Source Gridded Population Distribution Datasets in China

(2018) Zhongqiang Bai et al.   Sustainability

A comparison of global agricultural monitoring systems and current gaps

(2018) Steffen Fritz et al.   AGRICULTURAL SYSTEMS

Machine Learning-Based Slum Mapping in Support of Slum Upgrading Programs: The Case of Bandung City, Indonesia

(2018) Gina Leonita et al.   Remote Sensing

Integrating Aerial and Street View Images for Urban Land Use Classification

(2018) Rui Cao et al.   Remote Sensing

Detecting and mapping slums using open data: a case study in Kenya

(2018) Ron Mahabir et al.   International Journal of Digital Earth

Landslide Susceptibility Assessment Using Integrated Deep Learning Algorithm along the China-Nepal Highway

(2018) Liming Xiao et al.   SENSORS

Learning Aerial Image Segmentation From Online Maps

(2017) Pascal Kaiser et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Application of remote sensing in estimating maize grain yield in heterogeneous African agricultural landscapes: a review

(2017) Walter Chivasa et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Mapping poverty using mobile phone and satellite data

(2017) Jessica E. Steele et al.   Journal of the Royal Society Interface

Combining disparate data sources for improved poverty prediction and mapping

(2017) Neeti Pokhriyal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Slum mapping in polarimetric SAR data using spatial features

(2017) Michael Wurm et al.   REMOTE SENSING OF ENVIRONMENT

Google Earth Engine: Planetary-scale geospatial analysis for everyone

(2017) Noel Gorelick et al.   REMOTE SENSING OF ENVIRONMENT

Cash for carbon: A randomized trial of payments for ecosystem services to reduce deforestation

(2017) Seema Jayachandran et al.   SCIENCE

Mapping Smallholder Yield Heterogeneity at Multiple Scales in Eastern Africa

(2017) Zhenong Jin et al.   Remote Sensing

Exploring the Potential of Machine Learning for Automatic Slum Identification from VHR Imagery

(2017) Juan Duque et al.   Remote Sensing

Detection of Informal Settlements from VHR Images Using Convolutional Neural Networks

(2017) Nicholus Mboga et al.   Remote Sensing

Extraction of Slum Areas From VHR Imagery Using GLCM Variance

(2016) Monika Kuffer et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Urban slum detection using texture and spatial metrics derived from satellite imagery

(2016) Divyani Kohli et al.   Journal of Spatial Science

Combining satellite imagery and machine learning to predict poverty

(2016) N. Jean et al.   SCIENCE

Mapping Smallholder Wheat Yields and Sowing Dates Using Micro-Satellite Data

(2016) Meha Jain et al.   Remote Sensing

Slums from Space—15 Years of Slum Mapping Using Remote Sensing

(2016) Monika Kuffer et al.   Remote Sensing

Disaggregating Census Data for Population Mapping Using Random Forests with Remotely-Sensed and Ancillary Data

(2015) Forrest R. Stevens et al.   PLoS One

Pre-Colonial Ethnic Institutions and Contemporary African Development

(2013)   ECONOMETRICA

Automated detection of slum area change in Hyderabad, India using multitemporal satellite imagery

(2013) Oleksandr Kit et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Transferability of Object-Oriented Image Analysis Methods for Slum Identification

(2013) Divyani Kohli et al.   Remote Sensing

Twenty five years of remote sensing in precision agriculture: Key advances and remaining knowledge gaps

(2012) David J. Mulla   BIOSYSTEMS ENGINEERING

Mapping field-scale yield gaps for maize: An example from Bangladesh

(2012) U. Schulthess et al.   FIELD CROPS RESEARCH

The use of satellite data for crop yield gap analysis

(2012) David B. Lobell   FIELD CROPS RESEARCH

Assessing the Utility of Satellite Imagery with Differing Spatial Resolutions for Deriving Proxy Measures of Slum Presence in Accra, Ghana

(2012) Justin Stoler et al.   GIScience & Remote Sensing

Image Based Characterization of Formal and Informal Neighborhoods in an Urban Landscape

(2012) J. Graesser et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing