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ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume VI-4/W2-2020
https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-79-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/isprs-annals-VI-4-W2-2020-79-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
15 Sep 2020
| 15 Sep 2020
MAKING SMART URBAN DECISIONS: THE NICHE OF A PARAMETRIC SPATIAL MODEL TO BALANCE THE NEEDS OF URBAN STORMWATER MANAGEMENT AND HUMAN WELLBEING
J. Jia
School of Built Environment, UNSW, Sydney, New South Wales, Australia
S. Zlatanova
School of Built Environment, UNSW, Sydney, New South Wales, Australia
S. Hawken
School of Built Environment, UNSW, Sydney, New South Wales, Australia
K. F. Zhang
School of Civil and Environmental Engineering, UNSW, Sydney, New South Wales, Australia
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Short summary
Short summary
We investigate the impact of baseflow contribution on concentration–flow (C–Q) relationships across the Australian continent. We developed a novel Bayesian hierarchical model for six water quality variables across 157 catchments that span five climate zones. For sediments and nutrients, the C–Q slope is generally steeper for catchments with a higher median and a greater variability of baseflow contribution, highlighting the key role of variable flow pathways in particulate and solute export.
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ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W8, 147–154, https://doi.org/10.5194/isprs-annals-IV-4-W8-147-2019, https://doi.org/10.5194/isprs-annals-IV-4-W8-147-2019, 2019
B. Gorte, S. Zlatanova, and F. Fadli
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 279–283, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-279-2019, 2019
S. Nikoohemat, A. Diakité, S. Zlatanova, and G. Vosselman
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W5, 285–292, https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019, https://doi.org/10.5194/isprs-annals-IV-2-W5-285-2019, 2019
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 1–2, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-1-2018, 2018
X. den Duijn, G. Agugiaro, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W7, 43–50, https://doi.org/10.5194/isprs-annals-IV-4-W7-43-2018, https://doi.org/10.5194/isprs-annals-IV-4-W7-43-2018, 2018
C. Ellul, V. Coors, S. Zlatanova, R. Laurini, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W11, 1–2, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-W11-1-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-1-2018, https://doi.org/10.5194/isprs-annals-IV-4-1-2018, 2018
T. Ghawana, M. Aleksandrov, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 49–57, https://doi.org/10.5194/isprs-annals-IV-4-49-2018, https://doi.org/10.5194/isprs-annals-IV-4-49-2018, 2018
J. Yan, A. A. Diakité, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4, 247–254, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, https://doi.org/10.5194/isprs-annals-IV-4-247-2018, 2018
S. Zlatanova, S. Dragicevic, and G. Sithole
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, https://doi.org/10.5194/isprs-archives-XLII-4-1-2018, 2018
A. Alattas, P. van Oosterom, S. Zlatanova, D. Hoeneveld, and E. Verbree
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 11–23, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, https://doi.org/10.5194/isprs-archives-XLII-4-11-2018, 2018
L. Díaz-Vilariño, L. González-deSantos, E. Verbree, G. Michailidou, and S. Zlatanova
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 149–154, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, https://doi.org/10.5194/isprs-archives-XLII-4-149-2018, 2018
F. Fadli, N. Kutty, Z. Wang, S. Zlatanova, L. Mahdjoubi, P. Boguslawski, and V. Zverovich
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 161–168, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, https://doi.org/10.5194/isprs-archives-XLII-4-161-2018, 2018
L. Liu, B. Li, S. Zlatanova, and H. Liu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4, 373–378, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, https://doi.org/10.5194/isprs-archives-XLII-4-373-2018, 2018
A. A. Diakité, S. Zlatanova, and K.-J. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W5, 41–48, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, https://doi.org/10.5194/isprs-annals-IV-4-W5-41-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W3, 1–3, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, https://doi.org/10.5194/isprs-annals-IV-4-W3-1-2017, 2017
O. Cervantes, C. Ellu, D. Sol, G. Agugiaro, S. Zlatanova, R. Laurini, V. Coors, and M. Rumor
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W3, 1–3, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W3-1-2017, 2017
L. Liu, S. Zlatanova, Q. Zhu, and K. Li
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 343–348, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-343-2017, 2017
B. R. Staats, A. A. Diakité, R. L. Voûte, and S. Zlatanova
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 393–400, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-393-2017, 2017
M. Xu, S. Wei, S. Zlatanova, and R. Zhang
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 417–423, https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-417-2017, 2017
N. Grasso, E. Verbree, S. Zlatanova, and M. Piras
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W4, 311–317, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, https://doi.org/10.5194/isprs-annals-IV-2-W4-311-2017, 2017
L. Díaz-Vilariño, E. Verbree, S. Zlatanova, and A. Diakité
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 345–352, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-345-2017, 2017
J. Yan, N. Grasso, S. Zlatanova, R. C. Braggaar, and D. B. Marx
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-2-W7, 423–430, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, https://doi.org/10.5194/isprs-archives-XLII-2-W7-423-2017, 2017
S. Zlatanova, P. J. M. Van Oosterom, J. Lee, K.-J. Li, and C. H. J. Lemmen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-2-W1, 257–263, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, https://doi.org/10.5194/isprs-annals-IV-2-W1-257-2016, 2016
S. Zlatanova, R. Laurini, M. Baucic, M. Rumor, C. Ellul, and V. Coors
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 1–1, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-1-2016, 2016
Z. Wang, S. Zlatanova, and J. Steenbruggen
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., IV-4-W1, 45–49, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, https://doi.org/10.5194/isprs-annals-IV-4-W1-45-2016, 2016
E. Demir Ozbek, S. Zlatanova, S. Ates Aydar, and T. Yomralioglu
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B2, 101–108, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, https://doi.org/10.5194/isprs-archives-XLI-B2-101-2016, 2016
The International Society for Photogrammetry and Remote Sensing is a non-governmental organization devoted to the development of international cooperation for the advancement of photogrammetry and remote sensing and their applications. The Society operates without any discrimination on grounds of race, religion, nationality, or political philosophy.
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