9th Split Remote Sensing® Professional Summer School 2024

Deadline: July 01, 2024

Program Starts: July 01, 2024

Program Ends: July 06, 2024

Events

Summer & Winter Schools

Location(s)

Spain

University of Granada

Overview

After Split (2014), Thessaloniki (2015), Chania (2016), Dubrovnik (2017), Prague (2018), Bolzano (2019), Zadar (2022), Porto (2023), SPLITRS is taking us to University of Granada, Spain.

Details

TOPICS AND PRESENTERS!

Efficient geometric representations of real-world environments, encoding remote-sensing data, and simulating their physical-based behavior – Juan Manuel Jurado Rodriguez
UAV based coastal monitoring – UAV Photogrammetry with an emphasis on UAV RTK positioning and how to effectively eliminate ground control points – José Alberto Gonçalves

OUR GOAL

SPLITRS is an intensive and advanced learning event, which presents best insights into most recent techniques learned from top international professors and researchers through hands-on sessions and lectures. Participants learn about different remote sensing applications using UAS (drone), LiDAR sensors, SAR, and various RS software.

To attend SPLITRS, it is not required to have comprehensive knowledge of remote sensing, but basic understanding is recommended. Participants are expected to attend and follow the whole event to receive the Certificates of Completion. SPLITRS is a non-profit school. All profits go to students in need.

HANDS-ON LECTURES:

Flying UAV and data processing
LiDAR processing with examples of different projects
Remote sensing in geo-hazard assessment
SAR – Introduction to SAR
The DART model

Opportunity is About

Computers & IT Environment Geography & Outer Space

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Eligibility

Candidates should be from:

Afghanistan Albania Algeria Andorra Angola Antigua and Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bhutan Bolivia Bosnia and Herzegovina Botswana Brazil Brunei Bulgaria Burkina Faso Burundi Cambodia Cameroon Canada Cape Verde Central African Republic Chad Chile China Colombia Comoros Congo: Democratic Republic Congo: Republic Cook Islands Costa Rica Croatia Cuba Cyprus Czech Republic Denmark Djibouti Dominica Dominican Republic East Timor Ecuador Egypt El Salvador Equatorial Guinea Eritrea Estonia Ethiopia Fiji Finland France Gabon Gambia Georgia Germany Ghana Gibraltar Greece Grenada Guatemala Guinea Guinea-Bissau Guyana Haiti Honduras Hong Kong Hungary Iceland India Indonesia Iran Iraq Ireland Israel Italy Ivory Coast Jamaica Japan Jordan Kazakhstan Kenya Kiribati Korea, North Korea, South Kosovo UN1244 (*not recognized by majority of countries) Kuwait Kyrgyzstan Laos Latvia Lebanon Lesotho Liberia Libya Liechtenstein Lithuania Luxembourg Macau North Macedonia Madagascar Malawi Malaysia Maldives Mali Malta Marshall Islands Mauritania Mauritius Mexico Micronesia Moldova Monaco Mongolia Montenegro Morocco Mozambique Myanmar Namibia Nauru Nepal Netherlands New Zealand Nicaragua Niger Nigeria Niue Norway Oman Pakistan Palau Palestinian Authority Panama Papua New Guinea Paraguay Peru Philippines Poland Portugal Puerto Rico Qatar Romania Russia Rwanda Saint Kitts and Nevis Saint Lucia Saint Vincent and the Grenadines Samoa San Marino Sao Tome and Principe Saudi Arabia Senegal Serbia Seychelles Sierra Leone Singapore Slovakia Slovenia Solomon Islands Somalia South Africa South Sudan Spain Sri Lanka Sudan Suriname Swaziland Sweden Switzerland Syria Taiwan Tajikistan Tanzania Thailand Togo Tonga Trinidad and Tobago Tunisia Turkey Turkmenistan Tuvalu Uganda Ukraine United Arab Emirates United Kingdom United States of America Uruguay Uzbekistan Vanuatu Vatican City Venezuela Vietnam Western Sahara Yemen Zambia Zimbabwe

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Description of Ideal Candidate

G-ECO Research welcomes participants of all racial and cultural backgrounds and encourages women to apply.

SplitRS 2024 is intended for PhD students and early career professionals dealing with remote sensing topics in geoscience. The school will offer these students the opportunity to meet top international professors and researchers in the field of remote sensing and to gain an in-depth-education with the state-of-the-art knowledge on selected topics of remote sensing.