Displaying 1 - 10 of 13
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
Bissiri, Mounirah; Moura, Pedro; Figueiredo, Nuno Carvalho; Pereira da Silva, Patrícia. 2020. A geospatial approach towards defining cost-optimal electrification pathways in West Africa. [Energy] . 200: 117471 DOI: https://doi.org/10.1016/j.energy.2020.117471
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
Florczyk, A. J.; Melchiorri, M.; Zeidler, J.; Corbane, C.; Schiavina, M.; Freire, S.; Sabo, F.; Politis, P.; Esch, T.; Pesaresi, M. 2020. The Generalised Settlement Area: mapping the Earth surface in the vicinity of built-up areas. [International Journal of Digital Earth] . 13(1): 45-60 DOI: https://doi.org/10.1080/17538947.2018.1550121
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
ulandsat
(Journal Article)
export
Qiu, Tong; Song, Conghe; Zhang, Yulong; Liu, Hongsheng; Vose, James M. 2020. Urbanization and climate change jointly shift land surface phenology in the northern mid-latitude large cities. [Remote Sensing of Environment] . 236: 111477 DOI: https://doi.org/10.1016/j.rse.2019.111477
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Journal Article)
export
Zhao, Xiaotao; Thanapongtharm, Weerapong; Lawawirojwong, Siam; Wei, Chun; Tang, Yerong; Zhou, Yaowu; Sun, Xiaodong; Cui, Liwang; Sattabongkot, Jetsumon; Kaewkungwal, Jaranit. 2020. Malaria risk map using spatial multi-criteria decision analysis along Yunnan border during the pre-elimination period. [The American Journal of Tropical Medicine and Hygiene] . 103(2): 793-809 DOI: https://doi.org/10.4269/ajtmh.19-0854
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Alves, Maria Tereza Ribeiro; Machado, Karine Borges; Ferreira, Manuel Eduardo; Vieira, Ludgero Cardoso Galli; Nabout, João Carlos. 2019. A snapshot of the limnological features in tropical floodplain lakes: the relative influence of climate and land use. [Acta Limnologica Brasiliensia] . 31: e10 DOI: https://doi.org/10.1590/s2179-975x7916
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Bajaj, Shaurya; Geraldine Bessie Amali, D. 2019. Species environmental niche distribution modeling for Panthera Tigris Tigris ‘Royal Bengal Tiger’ using machine learning. [Emerging Research in Computing, Information, Communication and Applications] Ed(s): Shetty, N. R.; Patnaik, L. M.; Nagaraj, H. C.; Hamsavath, Prasad Naik; Nalini, N. pp: 251-263 DOI: https://doi.org/10.1007/978-981-13-5953-8_22
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
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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