Browsing by Author "Jamal Jokar Arsanjani"
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Dataset A Spatial Decision Support Approach for Flood Vulnerability Analysis in Urban Areas: A Case Study of Tehran(MDPI AG, 2022) Rasoul Afsari; Saman Nadizadeh Shorabeh; Mostafa Kouhnavard; Mehdi Homaee; Jamal Jokar ArsanjaniDistribution A Spatial Decision Support Approach for Flood Vulnerability Analysis in Urban Areas: A Case Study of TehranRasoul Afsari; Saman Nadizadeh Shorabeh; Mostafa Kouhnavard; Mehdi Homaee; Jamal Jokar ArsanjaniDistribution A Spatial Decision Support Approach for Flood Vulnerability Analysis in Urban Areas: A Case Study of TehranRasoul Afsari; Saman Nadizadeh Shorabeh; Mostafa Kouhnavard; Mehdi Homaee; Jamal Jokar ArsanjaniDataset Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City Analysis(MDPI AG, 2023) Mohammad Karimi Firozjaei; Naeim Mijani; Saman Nadizadeh Shorabeh; Yasin Kazemi; Yasser Ebrahimian Ghajari; Jamal Jokar Arsanjani; Majid Kiavarz; Seyed Kazem AlavipanahDistribution Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City AnalysisMohammad Karimi Firozjaei; Naeim Mijani; Saman Nadizadeh Shorabeh; Yasin Kazemi; Yasser Ebrahimian Ghajari; Jamal Jokar Arsanjani; Majid Kiavarz; Seyed Kazem AlavipanahDistribution Assessing the Effect of Urban Growth on Surface Ecological Status Using Multi-Temporal Satellite Imagery: A Multi-City AnalysisMohammad Karimi Firozjaei; Naeim Mijani; Saman Nadizadeh Shorabeh; Yasin Kazemi; Yasser Ebrahimian Ghajari; Jamal Jokar Arsanjani; Majid Kiavarz; Seyed Kazem AlavipanahDataset Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg–Ship Discrimination(MDPI AG, 2020) Frederik Seerup Hass; Jamal Jokar ArsanjaniDistribution Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg–Ship DiscriminationFrederik Seerup Hass; Jamal Jokar ArsanjaniDistribution Deep Learning for Detecting and Classifying Ocean Objects: Application of YoloV3 for Iceberg–Ship DiscriminationFrederik Seerup Hass; Jamal Jokar ArsanjaniDataset Landslide Susceptibility Mapping Using Machine Learning: A Danish Case Study(MDPI AG, 2022) Angelina Ageenko; Lærke Christina Hansen; Kevin Lundholm Lyng; Lars Bodum; Jamal Jokar ArsanjaniDistribution Landslide Susceptibility Mapping Using Machine Learning: A Danish Case StudyAngelina Ageenko; Lærke Christina Hansen; Kevin Lundholm Lyng; Lars Bodum; Jamal Jokar ArsanjaniDistribution Landslide Susceptibility Mapping Using Machine Learning: A Danish Case StudyAngelina Ageenko; Lærke Christina Hansen; Kevin Lundholm Lyng; Lars Bodum; Jamal Jokar ArsanjaniDataset Perspectives on “Earth Observation and GIScience for Agricultural Applications”(MDPI AG, 2022) Flavio Lupia; Jamal Jokar Arsanjani; Cidália Costa Fonte; Giuseppe PuligheDistribution Perspectives on “Earth Observation and GIScience for Agricultural Applications”Flavio Lupia; Jamal Jokar Arsanjani; Cidália Costa Fonte; Giuseppe PuligheDistribution Perspectives on “Earth Observation and GIScience for Agricultural Applications”Flavio Lupia; Jamal Jokar Arsanjani; Cidália Costa Fonte; Giuseppe PuligheDataset Prediction of Groundwater Level Variations in a Changing Climate: A Danish Case Study(MDPI AG, 2021) Rebeca Quintero Gonzalez; Jamal Jokar ArsanjaniDistribution Prediction of Groundwater Level Variations in a Changing Climate: A Danish Case StudyRebeca Quintero Gonzalez; Jamal Jokar ArsanjaniDistribution Prediction of Groundwater Level Variations in a Changing Climate: A Danish Case StudyRebeca Quintero Gonzalez; Jamal Jokar Arsanjani