Displaying 1 - 10 of 12
Operations
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
Coppola, Alysha I.; Seidel, Michael; Ward, Nicholas D.; Viviroli, Daniel; Nascimento, Gabriela S.; Haghipour, Negar; Revels, Brandi N.; Abiven, Samuel; Jones, Matthew W.; Richey, Jeffrey E.; Eglinton, Timothy I.; Dittmar, Thorsten; Schmidt, Michael W. I. 2019. Marked isotopic variability within and between the Amazon River and marine dissolved black carbon pools. [Nature Communications] . 10(1): 4018 DOI: https://doi.org/10.1038/s41467-019-11543-9
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Lai, Ying-Si; Biedermann, Patricia; Shrestha, Akina; Chammartin, Frédérique; à Porta, Natacha; Montresor, Antonio; Mistry, Nerges F.; Utzinger, Jürg; Vounatsou, Penelope. 2019. Risk profiling of soil-transmitted helminth infection and estimated number of infected people in South Asia: A systematic review and Bayesian geostatistical Analysis. [PLOS Neglected Tropical Diseases] . 13(8): e0007580 DOI: https://doi.org/10.1371/journal.pntd.0007580
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Nanni, A. Sofía; Sloan, Sean; Aide, T. Mitchell; Graesser, Jordan; Edwards, David; Grau, H. Ricardo. 2019. The neotropical reforestation hotspots: A biophysical and socioeconomic typology of contemporary forest expansion. [Global Environmental Change] . 54: 148-159 DOI: https://doi.org/10.1016/j.gloenvcha.2018.12.001
Uses Remote Sensing: yes
SEDAC Data Collection(s):
groads
grump-v1
(Journal Article)
export
Ye, Nan; Walker, Jeffrey P.; Rüdiger, Christoph; Ryu, Dongryeol; Gurney, Robert J. 2019. Impact of urban cover fraction on SMOS and SMAP surface soil moisture retrieval accuracy. [IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing] . 12(9): 3338-3350 DOI: https://doi.org/10.1109/JSTARS.2019.2929482
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Kabaria, Caroline W.; Gilbert, Marius; Noor, Abdisalan M.; Snow, Robert W.; Linard, Catherine. 2017. The impact of urbanization and population density on childhood Plasmodium falciparum parasite prevalence rates in Africa. [Malaria Journal] . 16(1): 49 DOI: https://doi.org/10.1186/s12936-017-1694-2
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Kinyoki, Damaris K.; Manda, Samuel O.; Moloney, Grainne M.; Odundo, Elijah O.; Berkley, James A.; Noor, Abdisalan M.; Kandala, Ngianga-Bakwin. 2017. Modelling the ecological comorbidity of acute respiratory infection, diarrhoea and stunting among children under the age of 5 years in Somalia. [International Statistical Review] . 85(1): 164-176 DOI: https://doi.org/10.1111/insr.12206
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Lai, Ying-Si; Zhou, Xiao-Nong; Pan, Zhi-Heng; Utzinger, Jürg; Vounatsou, Penelope. 2017. Risk mapping of clonorchiasis in the People’s Republic of China: A systematic review and Bayesian geostatistical analysis. [PLOS Neglected Tropical Diseases] . 11(3): e0005239 DOI: https://doi.org/10.1371/journal.pntd.0005239
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Skoufias, Emmanuel; Strobl, Eric; Tveit, Thomas Breivik. 2017. Natural Disaster Damage Indices Based on Remotely Sensed Data: An Application to Indonesia. [World Bank Policy Research Working Paper] The World Bank. WPS8188(WPS8188): 24
Related URL(s): http://documents.worldbank.org/curated/en/533341504882194154/Natural-disaster-da…
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Report)
export
Wang, Panshi; Huang, Chengquan; Brown de Colstoun, Eric. 2017. Mapping 2000–2010 impervious surface change in India using global land survey Landsat data. [Remote Sensing] . 9(4): 18pp DOI: https://doi.org/10.3390/rs9040366
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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