Displaying 21 - 30 of 41
Operations
Marlier, Miriam E.; Liu, Tianjia; Yu, Karen; Buonocore, Jonathan J.; Koplitz, Shannon N.; DeFries, Ruth S.; Mickley, Loretta J.; Jacob, Daniel J.; Schwartz, Joel; Wardhana, Budi S.; Myers, Samuel S. 2019. Fires, smoke exposure, and public health: An integrative framework to maximize health benefits from peatland restoration. [GeoHealth] . 3(7): 178-189 DOI: https://doi.org/10.1029/2019GH000191
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
(Journal Article)
export
Messina, Jane P.; Brady, Oliver J.; Golding, Nick; Kraemer, Moritz U. G.; Wint, G. R. William; Ray, Sarah E.; Pigott, David M.; Shearer, Freya M.; Johnson, Kimberly; Earl, Lucas; Marczak, Laurie B.; Shirude, Shreya; Davis Weaver, Nicole; Gilbert, Marius; Velayudhan, Raman; Jones, Peter; Jaenisch, Thomas; Scott, Thomas W.; Reiner, Robert C.; Hay, Simon I. 2019. The current and future global distribution and population at risk of dengue. [Nature Microbiology] . 4: 1508-1515 DOI: https://doi.org/10.1038/s41564-019-0476-8
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Miranda, Everton B. P.; Menezes, Jorge F. S.; Farias, Camila C. L.; Munn, Charles; Peres, Carlos A. 2019. Species distribution modeling reveals strongholds and potential reintroduction areas for the world’s largest eagle. [PLOS ONE] . 14(5): e0216323 DOI: https://doi.org/10.1371/journal.pone.0216323
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Mori, E.; Menchetti, M.; Zozzoli, R.; Milanesi, P. 2019. The importance of taxonomy in species distribution models at a global scale: the case of an overlooked alien squirrel facing taxonomic revision. [Journal of Zoology] . 307(1): 43-52 DOI: https://doi.org/10.1111/jzo.12616
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Nüchel, Jonas; Bøcher, Peder Klith; Svenning, Jens-Christian. 2019. Topographic slope steepness and anthropogenic pressure interact to shape the distribution of tree cover in China. [Applied Geography] . 103: 40-55 DOI: https://doi.org/10.1016/j.apgeog.2018.12.008
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Journal Article)
export
Oddo, Perry C.; Bolten, John D. 2019. The value of near real-time Earth observations for improved flood disaster response. [Frontiers in Environmental Science] . 7(127) DOI: https://doi.org/10.3389/fenvs.2019.00127
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Panthi, Saroj; Wang, Tiejun; Sun, Yiwen; Thapa, Arjun. 2019. An assessment of human impacts on endangered red pandas (Ailurus fulgens) living in the Himalaya. [Ecology and Evolution] . 9(23): 13413-13425 DOI: https://doi.org/10.1002/ece3.5797
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Pinichka, Chayut; Issarapan, Pibool; Siriwong, Wattasit; Kongtip, Pornpimol; Chotpantarat, Srilert; Bundhamcharoen, Kanitta. 2019. Application of Geographic Information Systems and remote sensing for pesticide exposure and health risk assessment in Thailand. [Outbreak, Surveillance, Investigation and Response] . 12(3): 75-83
Related URL(s): http://osirjournal.net/index.php/osir/article/view/147
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export
Pöhlker, C.; Walter, D.; Paulsen, H.; Könemann, T.; Rodríguez-Caballero, E.; Moran-Zuloaga, D.; Brito, J.; Carbone, S.; Degrendele, C.; Després, V. R.; Ditas, F.; Holanda, B. A.; Kaiser, J. W.; Lammel, G.; Lavrič, J. V.; Ming, J.; Pickersgill, D.; Pöhlker, M. L.; Praß, M.; Löbs, N.; Saturno, J.; Sörgel, M.; Wang, Q.; Weber, B.; Wolff, S.; Artaxo, P.; Pöschl, U.; Andreae, M. O. 2019. Land cover and its transformation in the backward trajectory footprint region of the Amazon Tall Tower Observatory. [Atmospheric Chemistry and Physics] . 19(13): 8425-8470 DOI: https://doi.org/10.5194/acp-19-8425-2019
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grand-v1
(Journal Article)
export
Python, André; Illian, Janine B.; Jones‐Todd, Charlotte M.; Blangiardo, Marta. 2019. A Bayesian approach to modelling subnational spatial dynamics of worldwide non‐state terrorism, 2010–2016. [Journal of the Royal Statistical Society: Series A (Statistics in Society)] . 182(1): 323-344 DOI: https://doi.org/10.1111/rssa.12384
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
(Journal Article)
export

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