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Jamal Jokar Arsanjani
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2020 – today
- 2023
- [j32]Mohammad Karimi Firozjaei, Naeim Mijani, Saman Nadizadeh Shorabeh, Yasin Kazemi, Yasser Ebrahimian Ghajari, Jamal Jokar Arsanjani, Majid Kiavarz, Seyed Kazem Alavipanah:
Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis. ISPRS Int. J. Geo Inf. 12(10): 406 (2023) - [j31]Rasoul Afsari, Saman Nadizadeh Shorabeh, Amir Reza Bakhshi Lomer, Mehdi Homaee, Jamal Jokar Arsanjani:
Using Artificial Neural Networks to Assess Earthquake Vulnerability in Urban Blocks of Tehran. Remote. Sens. 15(5): 1248 (2023) - 2022
- [j30]Angelina Ageenko, Lærke Christina Hansen, Kevin Lundholm Lyng, Lars Bodum, Jamal Jokar Arsanjani:
Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study. ISPRS Int. J. Geo Inf. 11(6): 324 (2022) - [j29]Flavio Lupia, Jamal Jokar Arsanjani, Cidália Costa Fonte, Giuseppe Pulighe:
Perspectives on "Earth Observation and GIScience for Agricultural Applications". ISPRS Int. J. Geo Inf. 11(7): 372 (2022) - [j28]Rasoul Afsari, Saman Nadizadeh Shorabeh, Mostafa Kouhnavard, Mehdi Homaee, Jamal Jokar Arsanjani:
A Spatial Decision Support Approach for Flood Vulnerability Analysis in Urban Areas: A Case Study of Tehran. ISPRS Int. J. Geo Inf. 11(7): 380 (2022) - [j27]Casper Samsø Fibæk, Carsten Keßler, Jamal Jokar Arsanjani, Marcia Luz Trillo:
A deep learning method for creating globally applicable population estimates from sentinel data. Trans. GIS 26(8): 3147-3175 (2022) - 2021
- [j26]Casper Samsø Fibæk, Hanna Laufer, Carsten Keßler, Jamal Jokar Arsanjani:
Geodata-driven approaches to financial inclusion - Addressing the challenge of proximity. Int. J. Appl. Earth Obs. Geoinformation 99: 102325 (2021) - [j25]Casper Samsø Fibæk, Carsten Keßler, Jamal Jokar Arsanjani:
A multi-sensor approach for characterising human-made structures by estimating area, volume and population based on sentinel data and deep learning. Int. J. Appl. Earth Obs. Geoinformation 105: 102628 (2021) - [j24]Rebeca Quintero Gonzalez, Jamal Jokar Arsanjani:
Prediction of Groundwater Level Variations in a Changing Climate: A Danish Case Study. ISPRS Int. J. Geo Inf. 10(11): 792 (2021) - [j23]Andrea Sulova, Jamal Jokar Arsanjani:
Exploratory Analysis of Driving Force of Wildfires in Australia: An Application of Machine Learning within Google Earth Engine. Remote. Sens. 13(1): 10 (2021) - [j22]Salman Qureshi, Saman Nadizadeh Shorabeh, Najmeh Neysani Samany, Foad Minaei, Mehdi Homaee, Fatemeh Nickravesh, Mohammad Karimi Firozjaei, Jamal Jokar Arsanjani:
A New Integrated Approach for Municipal Landfill Siting Based on Urban Physical Growth Prediction: A Case Study Mashhad Metropolis in Iran. Remote. Sens. 13(5): 949 (2021) - 2020
- [j21]Eric Vaz, Richard Ross Shaker, Michael D. Cusimano, Luís Loures, Jamal Jokar Arsanjani:
Does Land Use and Landscape Contribute to Self-Harm? A Sustainability Cities Framework. Data 5(1): 9 (2020) - [j20]Frederik Seerup Hass, Jamal Jokar Arsanjani:
Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg-Ship Discrimination. ISPRS Int. J. Geo Inf. 9(12): 758 (2020)
2010 – 2019
- 2019
- [j19]Jamal Jokar Arsanjani:
Characterizing and monitoring global landscapes using GlobeLand30 datasets: the first decade of the twenty-first century. Int. J. Digit. Earth 12(6): 642-660 (2019) - [j18]Andrea Ballatore, Jamal Jokar Arsanjani:
Placing Wikimapia: an exploratory analysis. Int. J. Geogr. Inf. Sci. 33(8): 1633-1650 (2019) - [j17]Saman Ghaffarian, Norman Kerle, Edoardo Pasolli, Jamal Jokar Arsanjani:
Post-Disaster Building Database Updating Using Automated Deep Learning: An Integration of Pre-Disaster OpenStreetMap and Multi-Temporal Satellite Data. Remote. Sens. 11(20): 2427 (2019) - 2018
- [j16]Afsaneh Nasiri, Rahim Ali Abbaspour, Alireza Chehreghan, Jamal Jokar Arsanjani:
Improving the Quality of Citizen Contributed Geodata through Their Historical Contributions: The Case of the Road Network in OpenStreetMap. ISPRS Int. J. Geo Inf. 7(7): 253 (2018) - 2016
- [j15]Levente Juhász, Adam Rousell, Jamal Jokar Arsanjani:
Technical Guidelines to Extract and Analyze VGI from Different Platforms. Data 1(3): 15 (2016) - [j14]Jamal Jokar Arsanjani, Linda See, Amin Tayyebi:
Assessing the suitability of GlobeLand30 for mapping land cover in Germany. Int. J. Digit. Earth 9(9): 873-891 (2016) - [j13]Amin Tayyebi, Amir Hossein Tayyebi, Jamal Jokar Arsanjani, Hossein Shafizadeh-Moghadam, Hichem Omrani:
FSAUA: A framework for sensitivity analysis and uncertainty assessment in historical and forecasted land use maps. Environ. Model. Softw. 84: 70-84 (2016) - [j12]Vyron Antoniou, Cidália Costa Fonte, Linda See, Jacinto Estima, Jamal Jokar Arsanjani, Flavio Lupia, Marco Minghini, Giles M. Foody, Steffen Fritz:
Investigating the Feasibility of Geo-Tagged Photographs as Sources of Land Cover Input Data. ISPRS Int. J. Geo Inf. 5(5): 64 (2016) - 2015
- [j11]Jamal Jokar Arsanjani, Eric Vaz:
An assessment of a collaborative mapping approach for exploring land use patterns for several European metropolises. Int. J. Appl. Earth Obs. Geoinformation 35: 329-337 (2015) - [j10]Jamal Jokar Arsanjani, Marco Helbich, Mohamed Bakillah, Lukas Loos:
The emergence and evolution of OpenStreetMap: a cellular automata approach. Int. J. Digit. Earth 8(1): 74-88 (2015) - [j9]Jamal Jokar Arsanjani, Mohamed Bakillah:
Understanding the potential relationship between the socio-economic variables and contributions to OpenStreetMap. Int. J. Digit. Earth 8(11): 861-876 (2015) - [j8]Taghi Jokar Arsanjani, Reza Javidan, Mohamad Jafar Nazemosadat, Jamal Jokar Arsanjani, Eric Vaz:
Spatiotemporal monitoring of Bakhtegan Lake's areal fluctuations and an exploration of its future status by applying a cellular automata model. Comput. Geosci. 78: 37-43 (2015) - [j7]Jamal Jokar Arsanjani, Peter Mooney, Marco Helbich, Alexander Zipf:
An Exploration of Future Patterns of the Contributions to OpenStreetMap and Development of a Contribution Index. Trans. GIS 19(6): 896-914 (2015) - [p2]Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney, Marco Helbich:
An Introduction to OpenStreetMap in Geographic Information Science: Experiences, Research, and Applications. OpenStreetMap in GIScience 2015: 1-15 - [p1]Jamal Jokar Arsanjani, Peter Mooney, Alexander Zipf, Anne Schauss:
Quality Assessment of the Contributed Land Use Information from OpenStreetMap Versus Authoritative Datasets. OpenStreetMap in GIScience 2015: 37-58 - [e1]Jamal Jokar Arsanjani, Alexander Zipf, Peter Mooney, Marco Helbich:
OpenStreetMap in GIScience - Experiences, Research, and Applications. Lecture Notes in Geoinformation and Cartography, Springer 2015, ISBN 978-3-319-14279-1 [contents] - 2014
- [j6]Mohamed Bakillah, Steve H. L. Liang, Amin Mobasheri, Jamal Jokar Arsanjani, Alexander Zipf:
Fine-resolution population mapping using OpenStreetMap points-of-interest. Int. J. Geogr. Inf. Sci. 28(9): 1940-1963 (2014) - [j5]Jamal Jokar Arsanjani, Marco Helbich, Ali Jafar Mousivand:
A Morphological Approach to Predicting Urban Expansion. Trans. GIS 18(2): 219-233 (2014) - 2013
- [j4]Jamal Jokar Arsanjani, Marco Helbich, Wolfgang Kainz, Ali Darvishi Boloorani:
Integration of logistic regression, Markov chain and cellular automata models to simulate urban expansion. Int. J. Appl. Earth Obs. Geoinformation 21: 265-275 (2013) - [j3]Frederik von Reumont, Jamal Jokar Arsanjani, Andreas Riedl:
Visualization of geologic geospatial datasets through X3D in the frame of WebGIS. Int. J. Digit. Earth 6(5): 483-503 (2013) - [j2]Jamal Jokar Arsanjani, Marco Helbich, Mohamed Bakillah, Julian Hagenauer, Alexander Zipf:
Toward mapping land-use patterns from volunteered geographic information. Int. J. Geogr. Inf. Sci. 27(12): 2264-2278 (2013) - [j1]Mohamed Bakillah, Steve H. L. Liang, Alexander Zipf, Jamal Jokar Arsanjani:
Semantic Interoperability of Sensor Data with Volunteered Geographic Information: A Unified Model. ISPRS Int. J. Geo Inf. 2(3): 766-796 (2013)
Coauthor Index
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