A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Programme 2021 - 2027 Interreg VI-A IPA Croatia - Bosnia and Herzegovina - Montenegro

Date of latest update: 2025-02-07

Description

Description (EN):

MOTIVATION According to the UNDRR, landslides are the most widespread geohazard events, affecting 4.8 million people and causing more than 18,000 deaths and $61 billion in damages worldwide from 1998 to 2017. This period coincides with an increasingly pronounced trend of climate change, characterized by intense climate events, which consequently lead to an increase in the number of landslides. The devastating impact of landslides is one of the main problems faced by LADY. A striking example of this occurred during a climate extreme in 2014, which had a great impact on the Programme area. The entire region was affected, particularly the area of the City of Tuzla and Brčko District, witnessing the activation of approx. 6,800 landslides with resulting damages estimated at around €500 million. The severity of the damages highlights society's lack of preparedness, revealing a low resilience to landslide risk. The recognized vulnerability is not limited to only one country but presents a common challenge across all partner countries that LADY aims to address. OBJECTIVE To enhance cross-border resilience and prevent the risk of landslides, it is necessary to create landslide inventories. Besides, it is essential to develop an accurate methodology for landslide risk assessment. These fundamental objectives constitute the core of LADY, which aims to use up-to-date remote sensing technology (LiDAR) and develop a consistent and standardized methodology for landslide risk assessment. HOW TO ACHIEVE THE OBJECTIVE? PARTNERSHIP To achieve this ambitious goal, a robust partnership has been established, comprising three scientific and three civil protection institutions, bringing together a diverse range of expertise. The scientific institutions will leverage their advanced knowledge to create manual and automated LiDAR-based landslide inventories. On the other hand, civil protection institutions will play a crucial role in coordinating the process of developing the methodology for landslide risk assessment, carrying out the risk assessment, and assuring their implementation in the future. ACTIVITIES One of the most challenging tasks is to ensure a detailed landslide inventory over a large area, as it directly influences the quality of the risk assessment. Within LADY, a LiDAR survey will cover approx. 1,700 km2 across all partner countries. WP1 and WP2 will focus on creating a detailed inventory, adopting LiDAR technology as the best practice. Experiences from previous projects, safEarth and RESPONSa, indicate that manual analysis of LiDAR data is time-consuming and subjective. Thus, within WP1, a manual LiDAR-based landslide inventory will be created as a basis for developing a machine learning application for automated LiDAR-based landslide inventory in WP2. This application will accelerate the process and produce objective results. In WP3, a standardized methodology for landslide risk assessment will be developed, ensuring a solid foundation for effective landslide risk management. Beyond technical aspects, LADY also aims to raise awareness about landslide risks and disaster preparedness among various stakeholders, from school children to the general public. RESULT One of the key elements for effective landslide risk management is landslide risk assessment. Landslide inventories, as vital data, will be created (OI 1.1 and OI 2.2) using jointly developed solutions (D 1.1.1 and OI 2.1). Additionally, relevant stakeholders will provide meteorological, seismic, and statistical data for hazard and vulnerability assessment. Based on the methodology developed (OI 3.1) LADY will provide a comprehensive landslide risk assessment for the area of North Croatia, Brčko District (BA), and South Montenegro. Educational workshops will empower spatial planners and the civil protection sector to implement and utilize risk assessment effectively. Besides, stakeholder workshops will gather decision-makers from the national, regional, and local levels, as crucial for the successful implementation of landslide risk assessments. LADY: STRENGTHENING SOCIETAL RESILIENCE FOR TOMORROW In the very near future, it is highly likely that all three partner countries will have their entire territories scanned with LiDAR. Once this is achieved, the software application developed within the LADY will enable the creation of landslide inventories for the entire territory. This advancement will significantly enhance the reliability of risk assessments, as they will be based on the complete population of landslides rather than a statistical sample. The project's mission to foster collaboration for next-generation risk assessments marks a changing step towards more effective landslide risk management in partner countries. By embracing innovation and combining the strengths of scientific and civil protection institutions, LADY is on the way to securing a safer and more resilient future for communities living in landslide-prone regions.

Expected Achievements (EN):

The project specific objective of WP1 is to establish a cross-border protocol for creating a manual LiDAR-based landslide inventory. This involves the collaborative development of Guidelines for manual LiDAR-based landslide inventory (D 1.1.1) and their application to LiDAR data acquired within LADY (OI 1.1). The objective is to reduce subjectivity, ensure data comparability, and enable a unified methodology in the manual delineation of landslides using LiDAR data. The Guidelines will serve as a cross-border protocol in HR, BA, and ME for manual LiDAR-based landslide inventories. They will be tested on LiDAR data, resulting in the creation of manual LiDAR-based landslide inventories for an approximate area of 1,000 km2. These inventories will play a crucial role in the development of a machine learning software application (OI 2.1), enhancing the analysis and management of landslides. The project specific objective of WP2 is to develop a sophisticated software program capable of automated detection and classification of landslides using LIDAR images. The desired output is an advanced application that harnesses the power of artificial intelligence and image-processing algorithms to identify and categorize landslide occurrences. This software program will leverage the high-resolution data provided by LIDAR technology to detect subtle changes in terrain elevation, enabling early identification and timely response to potential landslide hazards. Through its automation capabilities, the software aims to enhance efficiency and accuracy in landslide detection, providing landslide detection in areas spanning up to 100 hectares within a single day. Ultimately, this work package strives to deliver a robust and reliable tool that supports disaster management efforts, promotes public safety, and contributes to the sustainable development of landslide-prone regions. The specific objective of WP3 is to improve landslide risk assessment methodology to create a new generation of landslide risk assessment and enhance landslide risk awareness. Landslide risk assessment is crucial for understanding and managing the underlying factors associated with landslides. It helps identify landslide-prone areas, assess vulnerability, make informed decisions, and develop mitigation strategies. Improvement in methodology through enhanced data collection and analysis, advanced modelling techniques, interdisciplinary collaboration, and public awareness is vital for accurate assessments and effective risk reduction. The improved methodology will enable the project area's counties, districts and municipalities officials to develop high-quality risk assessment, thus creating a basis for formulating sound disaster risk strategies and sustainable development plans.

Project outputs: Manual LiDAR-based landslide inventory (created by HGI-CGS, RGGF, and DZS)(EN)
Machine learning software application for automated LiDAR-based landslide inventory (developed by FER, HGI-CGS, and RGGF)(EN)
Automated LiDAR-based landslide inventory (created by FER, HGI-CGS, and RGGF)(EN)
Methodology for landslide risk assessment (developed by RZC MUP, HGI-CGS, RGFBD, RGGF, and DZS)(EN)

Thematic information

Managing natural and man-made threats, risk management ICT and digital society Climate change and biodiversity

Priority: (VI-A_HR-B-ME_2) Green investments in environmental protection and efficient risk management

Priority specific objective: RSO2.4. Promoting climate change adaptation and disaster risk prevention and resilience, taking into account eco-system based approaches

Priority policy objective (Interreg specific objective): PO2 A greener, low-carbon transitioning towards a net zero carbon economy and resilient Europe by promoting clean and fair energy transition, green and blue investment, the circular economy, climate change mitigation and adaptation, risk prevention and management, and sustainable urban mobility

Type of intervention: 058 Adaptation to climate change measures and prevention and management of climate related risks: floods and landslides (including awareness raising, civil protection and disaster management systems, infrastructures and ecosystem based approaches)

Partners (6)

Lead Partner: HRVATSKI GEOLOŠKI INSTITUT

Partner’s ID if not PIC: HR43733878539

Department: Department of hydrogeology and engineering geology

Address: Sachsova, 10000 Zagreba, Croatia

Department address: Sachsova, 10000 Zagreba, Croatia

Legal status: public

Organisation type: Higher education and research organisations

Website: http://www.hgi-cgs.hr

Total budget: EUR 599 034.00

Partner’s programme co-financing: EUR 509 178.90

Partner’s programme co-financing rate: 85.00%

Partner contribution: EUR 89 855.10

Direktorat za zaštitu i spašavanje Ministarstvo unutrašnjih poslova Crne Gore

Name: Direktorat za zaštitu i spašavanje Ministarstvo unutrašnjih poslova Crne Gore

Partner’s ID if not PIC: PIB: 02016010

Address: Bulevar Svetog Petra Cetinjskog, 81000 Podgorica, Montenegro

Department address: Jovana Tomaševića , 81000 Podgorica, Montenegro

Legal status: public

Organisation type: National public authority

Website: https://www.gov.me/mup

Total budget: EUR 322 056.00

Partner’s programme co-financing: EUR 273 747.60

Partner’s programme co-financing rate: 85.00%

Partner contribution: EUR 48 308.40

Razvojno-garantni fond Brčko distrikta BIH

Name: Razvojno-garantni fond Brčko distrikta BIH

Department: Jedinica za implementaciju projekata/International Projects Implementation Unit

Partner’s ID if not PIC: ID # 4600102930004

Address: Cvijete Zuzoric , 76100 Brcko, Bosnia and Herzegovina

Department address: Cvijete Zuzoric, 76100 Brcko, Bosnia and Herzegovina

Legal status: public

Organisation type: Local public authority

Website: http://www.rgfbd.com

Total budget: EUR 250 929.00

Partner’s programme co-financing: EUR 213 289.65

Partner’s programme co-financing rate: 85.00%

Partner contribution: EUR 37 639.35

Ministarstva unutarnjih poslova

Name: Ministarstva unutarnjih poslova

Department: Civil Protection Directorate

Partner’s ID if not PIC: 3616237187

Address: Ulica grada Vukovara , 10000 Zagreb, Croatia

Department address: Nehajska ulica, 10000 Zagreb, Croatia

Legal status: public

Organisation type: National public authority

Website: https://mup.gov.hr/

Total budget: EUR 275 247.00

Partner’s programme co-financing: EUR 233 959.95

Partner’s programme co-financing rate: 85.00%

Partner contribution: EUR 41 287.05

Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva

Name: Sveučilište u Zagrebu Fakultet elektrotehnike i računarstva

Partner’s ID if not PIC: 57029260362

Address: Unska, 10000 Zagreb, Croatia

Department address: Unska, 10000 Zagreb, Croatia

Legal status: public

Organisation type: Higher education and research organisations

Website: http://www.fer.unizg.hr

Total budget: EUR 480 690.00

Partner’s programme co-financing: EUR 408 586.50

Partner’s programme co-financing rate: 85.00%

Partner contribution: EUR 72 103.50

Rudarsko Geološko Građevinski Fakultet

Name: Rudarsko Geološko Građevinski Fakultet

Partner’s ID if not PIC: 209444710072

Address: Urfeta Vejzagića , 75000 Tuzla, Bosnia and Herzegovina

Department address: Urfeta Vejzagića , 75000 Tuzla, Bosnia and Herzegovina

Legal status: public

Organisation type: Higher education and research organisations

Website: http://rggf.untz.ba

Total budget: EUR 457 380.00

Partner’s programme co-financing: EUR 388 773.00

Partner’s programme co-financing rate: 85.00%

Partner contribution: EUR 68 607.00

Partners map

Partners and Projects info

Rescue and Protection Directorate Ministry of the interior of Montenegro

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Partners and Projects info

Development-Guarantee Fund of Brcko District

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Partners and Projects info

Ministry of the Interior

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Partners and Projects info

University of Zagreb Faculty of Electrical Engineering and Computing

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Partners and Projects info

Faculty of Mining, Geology and Civil Engineering

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Partners and Projects info

CROATIAN GEOLOGICAL SURVEY

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Lead partner

Project partner

Summary

Project name (EN): A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Project acronym: LADY

Project ID: HR-BA-ME00030

Project start date: 2024-10-01

Project end date: 2027-09-30

Project status: ongoing

Relevant linked projects:

SROK (EN) | The ongoing Project, On the Road to Disaster Risk Reduction (Na putu do smanjenja rizika od katastrofa – SROK), is an EU-funded project (Structural and Cohesion Funds) that aims to reduce disaster risk by raising awareness and educating the general public and primary school children. The total value of the Project is: 1.925.406,64 EUR
The Projects overall goal is to increase community resilience by raising awareness of risk reduction activities and educating the general public and children on the benefits of disaster risk reduction as well as preparedness measures. Activities are based on the first national risk assessment results and risks identified as the most critical ones.
The expected results of the Project include:
- Developed and distributed disaster risk reduction education materials
- Developed and promoted educational vehicle including an earthquake simulator and natural hazards models. Models are to be tested and disseminated amongst the pilot schools, partners in Project implementation
- Implemented raising awareness and educative activities for school teachers, children and the general public.
Project elements are as follows:
1. Prepare the project application
2. Develop educational material
3. Procure the educational vehicle and hazard models
4. School teachers, children and the general public raising awareness
5. Project management and administration
6. Promotion and visibility. (EN), NoRiskBase (EN) | The Project, Assistance in developing a more robust baseline for effective disaster risk management – NO RISK BASE, was an EU-funded technical assistance project funded under the Union Civil Protection Mechanism Financial Instrument.
The aim of the Project was to develop a multi-risk Disaster Risk Management Strategy and new national Disaster Risk Assessment Guidelines. The draft documents focused on reducing the most significant risks from the two current National Risk Assessments and aimed to fill the gaps analysed in the national Risk Management Capability assessment. Finally, the Project aimed to raise awareness of disaster risk reduction mainly of the national government administrators across all relevant sectors as well as the public.
The key groups of activities include:
- Drafting the first national multi-risk, multi-sector Disaster Risk Management Strategy and Action Plan
- Drafting the new Risk Assessment Guidelines
- Raising government officials and public awareness of the need for disaster risk management by developing and disseminating educative and promotional disaster risk reduction material.
Project outcomes included:
- Draft Disaster risk management strategy
- Draft a Disaster risk management action plan
- Draft of the Comprehensive national guidelines for disaster risk assessment
- 6 expert workshops for working groups
- Brochures, leaflets
- Web-based tool for risk raising awareness. (EN), safEarth (EN) | safEarth (Transnational advanced management of land use risk through landslide susceptibility maps design); project under Interreg IPA CBC Croatia - Bosnia and Herzegovina - Montenegro
The main project objective addresses the problems that landslides in the region (HR, BA, and ME) cause, especially through: - designing Landslide Susceptibility Maps (LSMs), - preparation of Guidelines for Landslide Susceptibility Maps, and development of a Strategy for created guidelines implementation in the current legislation.
For LSM creation, a manual LiDAR-based landslide inventory is created for the area of 310 km2 within three Croatia counties, by HGI-CGS. These inventories will significantly enhance the available data on landslides, allowing for an increased number of manually delineated landslides. This data will be used as one of the input datasets within LADY to develop a machine-learning application, enabling automated LiDAR-based landslide identification.
Moreover, the knowledge gained in developing well-structured and practical guidelines will be applied and utilized in the activities of the LADY project. (EN), RESPONSa (EN) | RESPONSa (Response to landslide and flash flood risk with Early Warning System design); project under Interreg IPA CBC Croatia - Bosnia and Herzegovina - Montenegro
The project RESPONSa focuses on establishing a landslide early warning system (EWS) in pilot areas (HR, BA, and ME) through landslide monitoring using remote sensing methods, monitoring meteorological conditions, and determining threshold values for triggering hazardous events. Active involvement of local community and civil protection agencies enables the capacity assessment of the community and the development of operational processes, by whose integration into unified EWS, the local community is able to respond effectively and timely.
Within this project, a manual LiDAR-based landslide inventory is created for five pilot areas in Croatia by HGI-CGS, covering an area of 210 km2. These inventories will significantly enhance the available data on landslides, allowing for an increased number of manually delineated landslides. This data will be used as one of the input datasets within LADY to develop a machine-learning application, enabling automated LiDAR-based landslide identification. (EN), SafeLand (EN) | SafeLand (Living with landslide risk in Europe: Assessment, effects of global change, and risk management strategies); project under the European Commission (EC)'s Seventh Framework Programme (FP7)
SafeLand aims to achieve three main objectives: 1) provide an improved harmonised framework and methodology for assessing and quantifying landslide risk in Europe's regions, 2) evaluate changes in risk patterns, and 3) provide guidelines for selecting appropriate risk management strategies.
The specific tasks completed during project implementation can be directly related to the LADY's activities and outputs. Notably, the project developed guidelines for landslide susceptibility, hazard, and risk assessment, as well as the identification of risk hotspots in Europe. These completed tasks provide valuable resources and information which will be consulted when developing LADY's new methodologies. (EN), GeoTwinn (EN) | GeoTwinn (Strengthening research in the Croatian Geological Survey: Geoscience-Twinning to develop state-of-the-art subsurface modelling capability and scientific impact); project under HORIZON 2020
The GeoTwinn project stands to gain valuable knowledge from the collaboration between HGI-CGS and renowned European geological surveys; the British Geological Survey (BGS) and the Geological Survey of Denmark and Greenland (GEUS). Through these partnerships, HGI-CGS has significantly enhanced its research potential, engaging in scientific exchanges and training programs across diverse geological disciplines, including geohazards. Within LADY the knowledge gathered will be shared with project partners. (EN)

Total budget/expenditure: EUR 2 385 336.00

Total EU funding (amount): EUR 2 027 535.60

Total EU funding (co-financing rate): 85.00%

Co-financing sources:

IPA/IPA II/IPA III: Amount, EUR 2 027 535.60. Co-financing rate, 85.00%.

Investments, deliverables, policy contributions

(bullets are inserted automatically and may be incorrectly placed)

Infrastructure investments:

I1.1 - Reconstruciton of research Center and Laboratory - EUR 95 000.00 - country: Bosnia and Herzegovina (BA), town: Tuzla, Federacija Bosne i Hercegovine (BA02), Federacija Bosne i Hercegovine (BA020)
I3.1 - Upgrading Center for Crisis Situations - Brcko - EUR 20 000.00 - country: Bosnia and Herzegovina (BA), town: Brčko, Brčko distrikt (BA01), Brčko distrikt (BA010)

Deliverables:

Working guideliness
Internal technical workshop report
LiDAR data
Landslide inventory
Field verification report
Geophysical report
Lithology report
Exploration drilling report and piezometer installation
Geomechanical report
Analysis of data reported
Data preprocessing procedure
Procedure for augmentation of LIDAR data for deep neural network training
List of suitable deep neural network architectures
Trained deep neural networks for landslide detection and classification from LIDAR data
Optimized deep neural networks for landslide detection and classification from LIDAR data
Minimal technical requirements for LIDAR data analysis using deep neural networks
Software application based on optimized deep neural networks
Scientific papers and conferences
Hydrometeorological data report
Socioeconomic data analysis
Landslide risk assessment methodology
Landslide risk assessment for the northern part of Croatia
Landslide risk assessment for the Brčko District (BA)
Landslide risk assessment for South Montenegro
School-age children educational day
Educational vehicle
Educational hazard models
Civil protection and local government representatives workshops
Kick-off conference
Stakeholder workshops and meetings
Final landslide conference
Promo video

Contribution to wider strategies and policies:

Other The Sendai Framework for Disaster Risk Reduction 2015-2030
The Framework works hand in hand with the other 2030 Agenda agreements, including The Paris Agreement, The Addis Ababa Action Agenda on Financing for Development, the New Urban Agenda, and the Sustainable Development Goals. It advocates for the substantial reduction of disaster risk and losses in lives, livelihoods and health and the economic, physical, social, cultural and environmental assets of persons, businesses, communities and countries.
The Sendai Framework states that there is a need for focused action within and across sectors by States at local, national, regional and global levels in four priority areas:
1: Understanding disaster risk; 2: Strengthening disaster risk governance to manage disaster risk; 3: Investing in disaster risk reduction for resilience; 4: Enhancing disaster preparedness for effective response and to “Build Back Better” in recovery, rehabilitation and reconstruction.
Under Priority 1 it is important “to promote the conduct of comprehensive surveys on multi-hazard disaster risks and the development of regional disaster risk assessments and maps, including climate change scenarios”, to “provide guidance on methodologies and standards for risk assessment”.
LADY's contribution to understanding disaster risk and providing guidance on risk assessment methodologies and standards aligns with the Sendai Framework's emphasis on promoting comprehensive risk assessments and ensuring the use of consistent methodologies across different regions and sectors. LADY supports the strengthening of disaster risk governance by providing essential data and knowledge on landslide risks. The creation of landslide inventories and risk assessments allows policymakers, authorities, and stakeholders to make informed decisions and develop appropriate risk reduction strategies and policies.
EuropeanGreenDeal EU Strategy on Adaptation to Climate Change
The European Green Deal, one of the six EU Commission priorities for 2019-2024, places a strong emphasis on climate actions. In 2021, the Commission adopted its new EU strategy on adaptation to climate change.
LADY contributes to this Strategy by addressing the impacts of climate change, particularly in relation to increasing landslide risks. It aims to enhance the EU's capacity to anticipate and respond to climate-related risks and promote actions for reducing vulnerability and increasing resilience. By addressing landslide risks, LADY enhances resilience to extreme weather events, which are expected to increase in frequency and intensity due to climate change, through landslide inventories and risk assessments.
Other EU Strategy on Disaster Risk Management
LADY directly supports the EU Strategy on Disaster Risk Management by focusing on landslide risk reduction. It aims to strengthen the EU's ability to prevent, prepare for, and respond to disasters. The activities within LADY, such as creating LiDAR-based landslide inventories and assessing risks, provide valuable data and tools for effective disaster risk management. Improved landslide risk methodologies can significantly benefit the Strategy by providing valuable information and tools to assess, mitigate, and respond to landslide hazards.
Improved methodologies offer more precise and comprehensive data on landslide susceptibility, hazard zones, and potential impacts. By incorporating these methodologies into disaster risk management strategies, authorities can conduct more accurate risk assessments. Accurate risk assessment provides a sound basis for creating hazard and risk maps, thus providing valuable insights into areas prone to landslides and their specific characteristics. By incorporating this information into spatial planning, disaster risk management strategies can guide decision-making processes regarding infrastructure development, urban expansion, and zoning regulations. Both risk assessment and spatial plans offer a more detailed understanding of landslide processes, triggering factors, and potential mitigation measures. Hazard and risk maps contribute to developing robust early warning systems and help formulate comprehensive emergency response plans. By providing accessible and understandable information about landslide risks, authorities can raise community awareness, promote preparedness, and encourage participation in resilience-building and mitigation activities.
Other Decision on the Union Civil Protection Mechanism (UCPM)
As a Member State, Croatia must adhere to the Decision on the UCPM 1313/2013/EU, among other legislative frameworks. Article 6 of the Decision states that “Member States shall: develop risk assessments at the national or appropriate sub-national level and make available to the Commission a summary of the relevant elements … every three years”. It is, therefore, an obligation of the Civil Protection Authority, according to the national legislative framework and the Decision of the UCPM, to develop quality risk assessment documents every three years.
According to the Commission Staff Working Paper, Risk Assessment and Mapping Guidelines for Disaster Management, “the national risk assessments will have to draw on data from many different sources posing challenges in terms of data traceability, reliability, proper documentation, interoperability and other. It is therefore important that data sources are made explicit, including as concerns the use of expert know-how.”
Risk assessments, which will be performed and analyzed within LADY in all three Programme countries, need to be kept up-to-date as risks emerge and evolve, including changes in elements at risk (exposure) and vulnerability. It is, therefore important to regularly review and reassess risks and methods. The review of methodologies for landslide risk assessment will consider relevant advances in best-practice and discussions at the European level. Adequate risk monitoring arrangements, feedback and lessons learnt from a disaster response, exercises and training, as well as the regular evaluation of prevention, preparedness and mitigation measures will facilitate any future risk assessment and the (re-)evaluation of the effectiveness of prevention and mitigation measures.
EUStrategyDanubeRegion EU Strategy for the Danube Region (EUSDR)
LADY aligns with Priority Area 5 of the EUSDR, which focuses on managing risks, including natural and man-made disasters. By developing new protocols and methodologies for landslide inventory design and landslide risk assessment, the project directly contributes to promoting disaster resilience, preparedness and response activities (Target 4). Thereby, the project incorporates advanced technologies and generates valuable knowledge and information about landslide risks in the Danube region. By sharing this knowledge through information exchange, capacity building, and the adoption of best practices for landslide risk reduction in the region, LADY supports the development of a knowledge society and, thus, directly contribute to Priority Area 7.
Other Infrastructure for Spatial Information in the European Community (INSPIRE Directive)
The EU INSPIRE Directive aims to facilitate data accessibility and interoperability across the EU, overcoming language and data standard barriers. It promotes the sharing and harmonization of spatial information for various purposes.
Among 34 spatial data themes, in the context of geohazards and risk, the INSPIRE Directive includes a theme for natural risk. This theme focuses on identifying and mapping natural hazard zones where highly populated areas intersect with areas of significant environmental, cultural, or economic value. To assess and estimate risks in these zones, parameters such as potential hazards, probability of occurrence, and vulnerability of exposed populations and assets are necessary. Within LADY, the harmonized methodology for LiDAR-based landslide inventory design and landslide risk assessed within all project countries will be achieved by taking into consideration the data specification defined by INSPIRE Directive.
Other LADY directly contributes to the development of risk assessments in partner countries, both by improving the methodology for risk assessment and by conducting/upscaling risk assessments themselves. In all three partner countries, there are legal regulations that require risk assessments to be conducted every three years. These regulations, along with the current risk assessments, are listed below:
HR
- Civil Protection Act ("Official Gazette of the Republic of Croatia" No. NN ????)
PO KOJEM ZAKONU SE MORA IZRAĐIVATI PROCJENA RIZIKA ???
- The disaster risk assessment for the Republic of Croatia was adopted in 2019; the risk of landslides was addressed
BA
- Law on the Protection and Rescue of People and Material Goods from Natural and Other Disasters ("Official Gazette of the Federation of BiH" No. 39/03, 22/06, and 43/10)
- The vulnerability assessment of Brčko District, BiH, to natural and other disasters was conducted in 2017; the risk of landslides was addressed
ME
- Law on Protection and Rescue ("Official Gazette of Montenegro" No. 13/2007, 5/2008, 86/2009 - second law, 32/2011, 54/2016, 146/2021, and 3/2023)
- The disaster risk assessment for Montenegro was adopted in 2021; the risk of landslides was addressed
Other A national platform for disaster risk reduction defined by the UNDRR presents "national mechanisms for coordination and policy guidance on disaster risk reduction that are multisectoral and interdisciplinary in nature, with public, private and civil society participation involving all concerned entities within a country".
National platforms for disaster risk reduction are established in all three partner countries as follows:
- The Croatian Platform for Disaster Risk Reduction was established in 2009 by the Decision of the Government of the Republic of Croatia,
- The Disaster Risk Reduction Platform of Bosnia and Herzegovina was established in 2013 by the Ministry of Security in cooperation with relevant Entity and Brčko District institutions, tasked by The Council of Ministers of Bosnia and Herzegovina,
- The National Platform for Disaster Risk Reduction of Montenegro was established in 2014 by the Decision of the Government of Montenegro.

Programme Common Output Indicator:

RCO 084 - Pilot actions developed jointly and implemented in projects, Measurement unit:
RCO 116 - Jointly developed solutions, Measurement unit:

Programme Common Result Indicator:

RCR 104 - Solutions taken up or up-scaled by organisations, Measurement unit:

Project part of European Union Macro-Regional or Sea Basin Strategy: EUSDR

Information regarding the data in keep.eu on the programme financing this project

Financing programme

2021 - 2027 Interreg VI-A IPA Croatia - Bosnia and Herzegovina - Montenegro

Last month that data in keep.eu was retrieved from the Programme's website or received from the Programme

2025-02-07

No. of projects in keep.eu / Total no. of projects (% of projects in keep.eu)

34 / 34 (100%)

No. of project partnerships in keep.eu / Total no. of project partnerships (% of project partnerships in keep.eu)

143 / 147 (97.28%)

Notes on the data

The end dates of project: - RACE 2 - APOLLO - CODES - SMART STEP are an approximation based on the programme's List of Operations available on the programme's website on 2024 -09-18. There the end date is marked in quarters. Combined total of all projects partnerships (11764705.89) in field total_budget is larger than projects total (1499618.4) of total_budget.

Languages

Contact Form

A cross-border approach to improve landslide risk assessment using LiDAR-based landslide inventory

Description

Thematic information

Partners (6)

Partners map

Summary

Investments, deliverables, policy contributions

Information regarding the data in keep.eu on the programme financing this project

Disclaimer