Estimation of Poverty Using Random Forest Regression with Multi-Source Data: A Case Study in Bangladesh

Exploring spatiotemporal patterns of electric power consumption in countries along the Belt and Road

(2018) Kaifang Shi et al.   ENERGY

Urban Built-Up Area Extraction From Log-Transformed NPP-VIIRS Nighttime Light Composite Data

(2018) Bailang Yu et al.   IEEE Geoscience and Remote Sensing Letters

A global map of travel time to cities to assess inequalities in accessibility in 2015

(2018) D. J. Weiss et al.   NATURE

Evaluating spatiotemporal patterns of urban electricity consumption within different spatial boundaries: A case study of Chongqing, China

(2018) Kaifang Shi et al.   ENERGY

Forecasting China’s GDP at the pixel level using nighttime lights time series and population images

(2017) Naizhuo Zhao et al.   GIScience & Remote Sensing

A New Approach for Detecting Urban Centers and Their Spatial Structure With Nighttime Light Remote Sensing

(2017) Zuoqi Chen et al.   IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING

Mapping fine-scale population distributions at the building level by integrating multisource geospatial big data

(2017) Yao Yao et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

VIIRS night-time lights

(2017) Christopher D Elvidge et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Detecting spatiotemporal dynamics of global electric power consumption using DMSP-OLS nighttime stable light data

(2016) Kaifang Shi et al.   APPLIED ENERGY

Modeling spatiotemporal CO2 (carbon dioxide) emission dynamics in China from DMSP-OLS nighttime stable light data using panel data analysis

(2016) Kaifang Shi et al.   APPLIED ENERGY

Random forest in remote sensing: A review of applications and future directions

(2016) Mariana Belgiu et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Combining satellite imagery and machine learning to predict poverty

(2016) N. Jean et al.   SCIENCE

Modeling and mapping total freight traffic in China using NPP-VIIRS nighttime light composite data

(2015) Kaifang Shi et al.   GIScience & Remote Sensing

Estimating House Vacancy Rate in Metropolitan Areas Using NPP-VIIRS Nighttime Light Composite Data

(2015) Zuoqi Chen et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Poverty Evaluation Using NPP-VIIRS Nighttime Light Composite Data at the County Level in China

(2015) Bailang Yu et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Measuring intra-urban poverty using land cover and texture metrics derived from remote sensing data

(2015) Juan C. Duque et al.   LANDSCAPE AND URBAN PLANNING

Nighttime Light Derived Assessment of Regional Inequality of Socioeconomic Development in China

(2015) Yuke Zhou et al.   Remote Sensing

Targeting Villages for Rural Development Using Satellite Image Analysis

(2015) Kush R. Varshney et al.   Big Data

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

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

Object-based spatial cluster analysis of urban landscape pattern using nighttime light satellite images: a case study of China

(2014) Bailang Yu et al.   INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE

Random forest classification of salt marsh vegetation habitats using quad-polarimetric airborne SAR, elevation and optical RS data

(2014) Sybrand van Beijma et al.   REMOTE SENSING OF ENVIRONMENT

Responses of Suomi-NPP VIIRS-derived nighttime lights to socioeconomic activity in China’s cities

(2014) Ting Ma et al.   Remote Sensing Letters

Evaluation of NPP-VIIRS night-time light composite data for extracting built-up urban areas

(2014) Kaifang Shi et al.   Remote Sensing Letters

Evaluating the Ability of NPP-VIIRS Nighttime Light Data to Estimate the Gross Domestic Product and the Electric Power Consumption of China at Multiple Scales: A Comparison with DMSP-OLS Data

(2014) Kaifang Shi et al.   Remote Sensing

Improving the accuracy of rainfall rates from optical satellite sensors with machine learning — A random forests-based approach applied to MSG SEVIRI

(2013) Meike Kühnlein et al.   REMOTE SENSING OF ENVIRONMENT

Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data

(2012) Elfatih M. Abdel-Rahman et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data

(2012) Markus Immitzer et al.   Remote Sensing

Brief review of regression-based and machine learning methods in genetic epidemiology: the Genetic Analysis Workshop 17 experience

(2011) Abhijit Dasgupta et al.   GENETIC EPIDEMIOLOGY

Creating a Global Grid of Distributed Fossil Fuel CO2 Emissions from Nighttime Satellite Imagery

(2010) Tilottama Ghosh et al.   Energies

A global poverty map derived from satellite data

(2009) Christopher D. Elvidge et al.   COMPUTERS & GEOSCIENCES

Climate volatility deepens poverty vulnerability in developing countries

(2009) Syud A Ahmed et al.   Environmental Research Letters

Spatial characterization of electrical power consumption patterns over India using temporal DMSP‐OLS night‐time satellite data

(2009) T. R. Kiran Chand et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING