Jonathan Rizzi

Research Scientist

(+47) 483 47 537
jonathan.rizzi@nibio.no

Place
Ås O43

Visiting address
Oluf Thesens vei 43, 1433 Ås

Biography

See attachement for a complete list of scientific publications.
 
PhD in Environmental Sciences, working since more than 15 years in the GIS sector. Experience as consultant, teacher, researcher and project manager of national and international project, in international groups and work experience in countries such as China and Ecuador.

The main research activities are concerned with the use of GIS in several environmental sectors, including climate change, contaminated sites and water quality. Development of GIS-based tools such as a Spatial Decision Support System for climate change impact assessment (DESYCO) and WebGIS for climate data. He also worked on the definition of methodologies addressing climate change impacts of coastal zones useful to support the definition of adaptation measures and he has experience in MultiCriteria Decision Analysis (MCDA).

In the last years, he has also participated and managed international cooperation projects in developing countries.

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Abstract

Urban green structures (UGS) play important roles in enhancing urban ecosystems by providing benefits such as mitigating the urban heat island effect, improving air quality, supporting biodiversity, and aiding in stormwater management. Accurately mapping UGS is important for sustainable urban planning and management. Traditional methods of mapping such as manual mapping, aerial photography interpretation and pixel-based classification have limitations in terms of coverage, accuracy, and efficiency. Object-based image analysis (OBIA) has gained prominence due to its ability to incorporate both spectral and spatial information making it particularly effective for classification of high-resolution satellite data. This paper reviews the application of OBIA on satellite images for UGS mapping, focusing on various data sources, popular segmentation methods, and classification techniques, highlighting their respective advantages and limitations. Key segmentation methodologies discussed include multi-resolution segmentation and watershed segmentation. For classification, the review covers machine learning techniques such as random forests, support vector machines, and convolutional neural networks, among others. Several case studies highlight the successful implementation of OBIA in diverse urban environments by demonstrating improvements in classification accuracy and detail. The review also addresses the challenges associated with OBIA, such as dealing with heterogenous urban landscapes, data sources and with OBIA methods itself. Future directions for UGS mapping include the integration of deep learning algorithms, advancements in satellite data technologies, and the development of standardized classification frameworks. By providing a detailed analysis of the current state-of-the-art in object-based UGS mapping, this review aims to guide future research and practical applications in UGS management.

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Division of Survey and Statistics

Considering the Environment and Nature when Building and Operating Ground Mounted Solar Power Plants in Norway


EnviSol's mission is to harmonize the growth of ground-mounted solar power plants in Norway with the imperative to protect biodiversity and ecosystem services. With renewable energy production, preserving nature, and supporting ecosystems all in mind, EnviSol aims to pinpoint the ideal methods and locations for these solar installations, mitigating clashes over land use.

Active Updated: 30.01.2024
End: jul 2027
Start: aug 2023
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Division of Environment and Natural Resources

CANALLS Agroecological practices for sustainable transition


Agroecology covers all activities and actors involved in food systems. It also places the well-being of people (producers and consumers of crops and products) at its core. The EU-funded CANALLS project will focus on the agroecological zones and diverse farming systems in the humid tropics of Central and Eastern Africa. It will explore the complex environmental, social and economic challenges, which in some cases are exacerbated by conflict and high vulnerability. Moreover, it will advance agroecological transitions in these regions through multi-actor transdisciplinary agroecology Living Labs at eight sites in four countries. The focus will be on crops such as cocoa, coffee and cassava, which are vital for subsistence and economic development.

Active Updated: 30.01.2024
End: dec 2026
Start: jan 2023