Displaying 1 - 6 of 6
Operations
Bach, Vanessa; Berger, Markus; Finogenova, Natalia; Finkbeiner, Matthias. 2017. Assessing the availability of terrestrial Biotic Materials in Product Systems (BIRD). [Sustainability] . 9(1): 35pp DOI: https://doi.org/10.3390/su9010137
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Kirchberger, Martina. 2017. Natural disasters and labor markets. [Journal of Development Economics] . 125: 40-58 DOI: https://doi.org/10.1016/j.jdeveco.2016.11.002
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Kreibich, H.; Di Baldassarre, G.; Vorogushyn, S.; Aerts, J. C. J. H.; Apel, H.; Aronica, G. T.; Arnbjerg-Nielsen, K.; Bouwer, L. M.; Bubeck, P.; Caloiero, T.; Chinh, D. T.; Cortès, M.; Gain, A. K.; Giampá, V.; Kuhlicke, C.; Kundzewicz, Z. W.; Llasat, M. C.; Mård, J.; Matczak, P.; Mazzoleni, M.; Molinari, D.; Dung, N. V.; Petrucci, O.; Schröter, K.; Slager, K.; Thieken, A. H.; Ward, P. J.; Merz, B. 2017. Adaptation to flood risk – results of international paired flood event studies. [Earth's Future] . 5(10): 953-965 DOI: https://doi.org/10.1002/2017EF000606
SEDAC Data Collection(s):
ndh
(Journal Article)
export
Kumar, Pramod; Gupta, Kshama; Karnatak, Harish Chandra; Siddiqui, Asfa; Senthil Kumar, A. 2017. Geo-enabled e-Democracy Tools and Services for Smart Cities. [E-Democracy for Smart Cities] Ed(s): Vinod Kumar, T. M. pp: 391-440 DOI: https://doi.org/10.1007/978-981-10-4035-1_13
Uses Remote Sensing: yes
SEDAC Data Collection(s):
gpw-v4
groads
grump-v1
ndh
(Book Section)
export
Mboga, N.; Persello, C.; Bergado, J. R.; Stein, A. 2017. Detection of informal settlements from VHR satellite images using convolutional neural networks. [2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS)] pp: 5169-5172 DOI: https://doi.org/10.1109/IGARSS.2017.8128166
Uses Remote Sensing: yes
SEDAC Data Collection(s):
(Conference Proceedings)
export
Romero, David; Torres-Irineo, Edgar; Kern, Stefan; Orellana, Roger; Hernandez-Cerda, Maria Engracia. 2017. Determination of the soil moisture recession constant from satellite data: a case study of the Yucatan peninsula. [International Journal of Remote Sensing] . 38(20): 5793-5813 DOI: https://doi.org/10.1080/01431161.2017.1346844
Uses Remote Sensing: yes
SEDAC Data Collection(s):
ndh
(Journal Article)
export
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