An evaluation of the environmental impact assessment practice in Uganda: challenges and opportunities for achieving sustainable development

TE George, K Karatu, A Edward - Heliyon, 2020 - cell.com
Abstract Environmental Impact Assessment (EIA) is a broad process that emerged from the
National Environment Policy Act, 1970 in the US Its primary objective is to generate …

Global gridded GDP data set consistent with the shared socioeconomic pathways

T Wang, F Sun - Scientific data, 2022 - nature.com
The vulnerability, exposure and resilience of socioeconomic activities to future climate
extremes call for high-resolution gridded GDP in climate change adaptation and mitigation …

A high-resolution gridded dataset to assess electrification in sub-Saharan Africa

G Falchetta, S Pachauri, S Parkinson, E Byers - Scientific data, 2019 - nature.com
Spatially explicit data on electricity access and use are essential for effective policy-making
and infrastructure planning in low-income, data-scarce regions. We present and validate a 1 …

Using multi-source nighttime lights data to proxy for county-level economic activity in China from 2012 to 2019

X Zhang, J Gibson - Remote Sensing, 2022 - mdpi.com
The use of nighttime lights (NTL) data to proxy for local economic activity is well established
in remote sensing and other disciplines. Validation studies comparing NTL data with …

Critical success factors of rural social enterprises: Insights from a develo** country context

P Musinguzi, D Baker, N Larder… - Journal of Social …, 2023 - Taylor & Francis
Rural social enterprises (RSEs) operate in rural areas, which disproportionately face
intractable challenges such as poverty and inequality. They need to identify and develop the …

A new evaluation of the role of urbanization to warming at various spatial scales: Evidence from the Guangdong‐Hong Kong‐Macau region, China

L Chao, B Huang, Y Yuanjian, P Jones… - Geophysical …, 2020 - Wiley Online Library
The urbanization impacts on surface air temperature (SAT) change in the Guangdong‐Hong
Kong‐Macau region (GHMR) from 1979 to 2018 are examined using homogeneous surface …

Estimating socio-economic parameters via machine learning methods using Luojia1-01 Nighttime Light remotely sensed images at multiple scales of China in 2018

B Guo, Y Bian, D Zhang, Y Su, X Wang, B Zhang… - Ieee …, 2021 - ieeexplore.ieee.org
Map** socio-economic indicators with a raster format is still a great challenge. The
nighttime light (NTL) datasets have been widely utilized to estimate the socio-economic …

Map** China's regional economic activity by integrating points-of-interest and remote sensing data with random forest

Q Chen, T Ye, N Zhao, M Ding… - … and Planning B …, 2021 - journals.sagepub.com
Nighttime light imageries are widely used for map** the gross domestic product (GDP)
over large areas. However, nighttime light imagery is inappropriate to disaggregate …

Map** gross domestic product distribution at 1 km resolution across thailand using the Random Forest Area-to-area regression kriging model

Y **, Y Ge, H Fan, Z Li, Y Liu, Y Jia - ISPRS International Journal of Geo …, 2023 - mdpi.com
Accurate spatial distribution of gridded gross domestic product (GDP) data is crucial for
revealing regional disparities within administrative units, thus facilitating a deeper …

[HTML][HTML] Spatialization and Analysis of China's GDP Based on NPP/VIIRS Data from 2013 to 2023

W Li, M Wu, Z Niu - Applied Sciences, 2024 - mdpi.com
The quality of nighttime light (NTL) data is an important factor affecting the estimation of
gross domestic product (GDP), but most studies do not use the latest NPP/VIIRS V2 annual …