- Article
(1427 KB) - Metadata XML
- November 21, 2024
- |
- Home
- |
- Sitemap
- |
- The ISPRS Foundation
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Articles | Volume XLII-4/W18
https://doi.org/10.5194/isprs-archives-XLII-4-W18-733-2019
© Author(s) 2019. 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-archives-XLII-4-W18-733-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
18 Oct 2019
| 18 Oct 2019
INSAR TIME SERIES INVESTIGATION OF LAND SURFACE DEFORMATION IN AZAR OIL FIELD
Z. Mirzaii
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran
M. Hasanlou
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran
S. Samieie-Esfahany
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran
M. Rojhani
Department of Civil Engineering, Faculty of Engineering, Shahed University, Iran
P. Ajourlou
School of Surveying and Geospatial Engineering, College of Engineering, University of Tehran, Iran
Related authors
No articles found.
Ryan Love, Glenn A. Milne, Parviz Ajourlou, Soran Parang, Lev Tarasov, and Konstantin Latychev
EGUsphere, https://doi.org/10.5194/egusphere-2023-2491, https://doi.org/10.5194/egusphere-2023-2491, 2023
Short summary
Short summary
A relatively recent advance in glacial isostatic adjustment modelling has been the development of models that include 3D Earth structure, as opposed to 1D structure. However, a major limitation is the computational expense. We have developed a method using artificial neural networks to emulate the influence of 3D Earth models to affordably constrain the viscosity parameter space. Our results indicate that the misfits are of a scale such that useful predictions of relative sea level can be made.
H. Noroozi and M. Hasanlou
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 603–608, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-603-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-603-2023, 2023
E. Rostami, M. A. Sharifi, and M. Hasanlou
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 653–659, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-653-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-653-2023, 2023
F. Samadzadegan, F. Dadrass Javan, M. Hasanlou, M. Gholamshahi, and F. Ashtari Mahini
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 685–690, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-685-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-685-2023, 2023
Z. Akhavan, M. Hasanlou, and M. Hosseini
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 37–42, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-37-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-37-2023, 2023
S. Asgari and M. Hasanlou
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., X-4-W1-2022, 79–85, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-79-2023, https://doi.org/10.5194/isprs-annals-X-4-W1-2022-79-2023, 2023
M. Gomroki, R. Shah-Hosseini, and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLVIII-4-W2-2022, 39–44, https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-39-2023, https://doi.org/10.5194/isprs-archives-XLVIII-4-W2-2022-39-2023, 2023
A. Zarei, M. Hasanlou, and M. Mahdianpari
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., V-3-2021, 257–263, https://doi.org/10.5194/isprs-annals-V-3-2021-257-2021, https://doi.org/10.5194/isprs-annals-V-3-2021-257-2021, 2021
S. T. Seydi and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLIII-B3-2020, 1629–1633, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1629-2020, https://doi.org/10.5194/isprs-archives-XLIII-B3-2020-1629-2020, 2020
M. Saadat, M. Hasanlou, and S. Homayouni
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 897–904, https://doi.org/10.5194/isprs-archives-XLII-4-W18-897-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-897-2019, 2019
R. Saadi, M. Hasanlou, and A. Safari
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 913–916, https://doi.org/10.5194/isprs-archives-XLII-4-W18-913-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-913-2019, 2019
N. Tavasoli, H. Arefi, S. Samiei-Esfahany, and Q. Ronoud
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 1051–1058, https://doi.org/10.5194/isprs-archives-XLII-4-W18-1051-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-1051-2019, 2019
M. Zoraghi, R. Saadi, and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 1159–1162, https://doi.org/10.5194/isprs-archives-XLII-4-W18-1159-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-1159-2019, 2019
P. Ajourlou, S. Samiei Esfahany, and A. Safari
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 35–40, https://doi.org/10.5194/isprs-archives-XLII-4-W18-35-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-35-2019, 2019
M. Boueshagh and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 219–226, https://doi.org/10.5194/isprs-archives-XLII-4-W18-219-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-219-2019, 2019
M. Hossein Pouraghdam, M. Saadatseresht, H. Rastiveis, A. Abzal, and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 483–488, https://doi.org/10.5194/isprs-archives-XLII-4-W18-483-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-483-2019, 2019
H. Jafarzadeh and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 571–575, https://doi.org/10.5194/isprs-archives-XLII-4-W18-571-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-571-2019, 2019
M. H. Khalili and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 609–613, https://doi.org/10.5194/isprs-archives-XLII-4-W18-609-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-609-2019, 2019
S. M. Mozafari, M. Hasanlou, and H. Arefi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W18, 779–782, https://doi.org/10.5194/isprs-archives-XLII-4-W18-779-2019, https://doi.org/10.5194/isprs-archives-XLII-4-W18-779-2019, 2019
A. Najafi, M. Hasanlou, and V. Akbari
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 195–200, https://doi.org/10.5194/isprs-archives-XLII-4-W4-195-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-195-2017, 2017
S. Rajabi, M. Hasanlou, and A. R. Safari
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 219–223, https://doi.org/10.5194/isprs-archives-XLII-4-W4-219-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-219-2017, 2017
M. M. Taghadosi and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 251–257, https://doi.org/10.5194/isprs-archives-XLII-4-W4-251-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-251-2017, 2017
R. Mahmoodi, A. A. Ardalan, and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 513–516, https://doi.org/10.5194/isprs-archives-XLII-4-W4-513-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-513-2017, 2017
M. Ahmadijamal and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 5–9, https://doi.org/10.5194/isprs-archives-XLII-4-W4-5-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-5-2017, 2017
A. H. Ahrari, M. Kiavarz, M. Hasanlou, and M. Marofi
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 11–15, https://doi.org/10.5194/isprs-archives-XLII-4-W4-11-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-11-2017, 2017
E. Khedri, M. Hasanlou, and A. Tabatabaeenejad
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLII-4-W4, 133–137, https://doi.org/10.5194/isprs-archives-XLII-4-W4-133-2017, https://doi.org/10.5194/isprs-archives-XLII-4-W4-133-2017, 2017
F. Bayat and M. Hasanlou
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1107–1110, https://doi.org/10.5194/isprs-archives-XLI-B8-1107-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-1107-2016, 2016
N. Moradi, M. Hasanlou, and M. Saadatseresht
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 1161–1164, https://doi.org/10.5194/isprs-archives-XLI-B8-1161-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-1161-2016, 2016
Z. Nikraftar, M. Hasanlou, and M. Esmaeilzadeh
Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XLI-B8, 525–530, https://doi.org/10.5194/isprs-archives-XLI-B8-525-2016, https://doi.org/10.5194/isprs-archives-XLI-B8-525-2016, 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.
Useful Links
Useful External Links
Our Contact
c/o
Leibniz University Hannover
Institute of Photogrammetry and GeoInformation
Nienburger Str. 1
D-30167 Hannover
GERMANY
Email: isprs-sg@isprs.org