Displaying 1 - 4 of 4
Operations
Feng, Chenyang; Li, Ruixue; Shamim, Abu Ahmed; Ullah, Md Barkat; Li, Mengjie; Dev, Rubee; Wang, Yijing; Zhao, Tingting; Liao, Jing; Du, Zhicheng; Ling, Yuheng; Lai, Yingsi; Hao, Yuantao. 2021. High-resolution mapping of reproductive tract infections among women of childbearing age in Bangladesh: a spatial-temporal analysis of the demographic and health survey. [BMC Public Health] . 21(1): 342 DOI: https://doi.org/10.1186/s12889-021-10360-4
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Schug, Franz; Frantz, David; van der Linden, Sebastian; Hostert, Patrick. 2021. Gridded population mapping for Germany based on building density, height and type from Earth Observation data using census disaggregation and bottom-up estimates. [PLOS ONE] . 16(3): e0249044 DOI: https://doi.org/10.1371/journal.pone.0249044
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Jedwab, Remi; Pereira, Daniel; Roberts, Mark. 2019. Cities of Workers, Children or Seniors? Age Structure and Economic Growth in a Global Cross-Section of Cities. [Institute for International Economic Policy Working Paper Series] Institute for International Economic Policy. Issue: IIEP-WP-2019-13: 52
Related URL(s): https://iiep.gwu.edu/2019/08/31/cities-of-workers-children-or-seniors-age-struct…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Report)
export
Liu, Xue; de Sherbinin, Alex; Zhan, Yanni. 2019. Mapping urban extent at large spatial scales using machine learning methods with VIIRS Nighttime Light and MODIS Daytime NDVI Data. [Remote Sensing] . 11(10): 1247 DOI: https://doi.org/10.3390/rs11101247
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
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