Displaying 41 - 50 of 160
Operations
Parrado, Ramiro; Bosello, Francesco; Delpiazzo, Elisa; Hinkel, Jochen; Lincke, Daniel; Brown, Sally. 2020. Fiscal effects and the potential implications on economic growth of sea-level rise impacts and coastal zone protection. [Climatic Change] . 160(283-302) DOI: https://doi.org/10.1007/s10584-020-02664-y
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Petrozzi, Fabio; Hema, Emmanuel M.; Sirima, Djidama; Segniagbeto, Gabriel Hoinsoudé; Akani, Godfrey C.; Eniang, Edem A.; Dendi, Daniele; Fa, John E.; Luiselli, Luca. 2020. Tortoise ecology in the West African savannah: Multi-scale habitat selection and activity patterns of a threatened giant species, and its ecological relationships with a smaller-sized species. [Acta Oecologica] . 105: 103572 DOI: https://doi.org/10.1016/j.actao.2020.103572
SEDAC Data Collection(s):
gpw-v3
groads
grump-v1
(Journal Article)
export
Qader, Sarchil Hama; Lefebvre, Veronique; Tatem, Andrew J.; Pape, Utz; Jochem, Warren; Himelein, Kristen; Ninneman, Amy; Wolburg, Philip; Nunez-Chaim, Gonzalo; Bengtsson, Linus; Bird, Tomas. 2020. Using gridded population and quadtree sampling units to support survey sample design in low-income settings. [International Journal of Health Geographics] . 19(1): 10 DOI: https://doi.org/10.1186/s12942-020-00205-5
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
grump-v1
(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
Reba, Meredith; Seto, Karen C. 2020. A systematic review and assessment of algorithms to detect, characterize, and monitor urban land change. [Remote Sensing of Environment] . 242: 111739 DOI: https://doi.org/10.1016/j.rse.2020.111739
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Roni, Rezaul; Jia, Peng. 2020. An optimal population modeling approach using geographically weighted regression based on high-resolution remote sensing data: A case study in Dhaka City, Bangladesh. [Remote Sensing] . 12(7): 1184 DOI: https://doi.org/10.3390/rs12071184
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v3
grump-v1
(Journal Article)
export
Schinko, Thomas; Drouet, Laurent; Vrontisi, Zoi; Hof, Andries, F.; Hinkel, Jochen; Mochizuki, Junko; Bosetti, Valentina; Fragkiadakis, Kostas; Van Vuuren, Detlef P.; Lincke, Daniel. 2020. Economy-wide effects of coastal flooding due to sea level rise: A multi-model simultaneous treatment of mitigation, adaptation, and residual impacts. [Environmental Research Communications] . 2(1): 015002 DOI: https://doi.org/10.1088/2515-7620/ab6368
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Schmidt, Emily; Dorosh, Paul A.; Kedir Jemal, Mekamu; Smart, Jenny. 2020. Urbanization and structural transformation. [Ethiopia's Agrifood System: Past Trends, Present Challenges, and Future Scenarios] Ed(s): Dorosh, Paul A.; Minten, Bart. pp: 379-422 DOI: https://doi.org/10.2499/9780896296916_12
SEDAC Data Collection(s):
gpw-v4
grump-v1
(Book Section)
export
Tellman, Beth; Sesnie, Steven E.; Magliocca, Nicholas R.; Nielsen, Erik A.; Devine, Jennifer A.; McSweeney, Kendra; Jain, Meha; Wrathall, David J.; Dávila, Anayasi; Benessaiah, Karina; Aguilar-Gonzalez, Bernardo. 2020. Illicit drivers of land use change: Narcotrafficking and forest loss in Central America. [Global Environmental Change] . 63: 102092 DOI: https://doi.org/10.1016/j.gloenvcha.2020.102092
Uses Remote Sensing: yes
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export
Tlili, Olfa; Mansilla, Christine; Linβen, Jochen; Reuß, Markus; Grube, Thomas; Robinius, Martin; André, Jean; Perez, Yannick; Le Duigou, Alain; Stolten, Detlef. 2020. Geospatial modelling of the hydrogen infrastructure in France in order to identify the most suited supply chains. [International Journal of Hydrogen Energy] . 45(4): 3053-3072 DOI: https://doi.org/10.1016/j.ijhydene.2019.11.006
SEDAC Data Collection(s):
grump-v1
(Journal Article)
export

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