A5090395144- Remote Sensing in Agriculture
- Fire effects on ecosystems
- Remote Sensing and LiDAR Applications
- Remote-Sensing Image Classification
- Land Use and Ecosystem Services
- Forest ecology and management
- Remote Sensing and Land Use
- Fire Detection and Safety Systems
- Forest Ecology and Biodiversity Studies
- Soil erosion and sediment transport
- Species Distribution and Climate Change
- Atmospheric and Environmental Gas Dynamics
- Flood Risk Assessment and Management
- Hydrological Forecasting Using AI
- Fuzzy Logic and Control Systems
- Forest Management and Policy
- Water Quality and Pollution Assessment
- Advanced Chemical Sensor Technologies
- Urban Green Space and Health
- Soil and Land Suitability Analysis
- Rangeland and Wildlife Management
- Landslides and related hazards
- Hydrology and Watershed Management Studies
- Aeolian processes and effects
- Smart Agriculture and AI
Aristotle University of Thessaloniki
2016-2025
Mediterranean Agronomic Institute of Chania
2017
Interbalkan Medical Center
2015
European Space Agency
2013
Fire has a diverse range of impacts on Earth's physical and social systems. Accurate up to date information areas affected by fire is critical better understand drivers activity, as well its relevance for biogeochemical cycles, climate, air quality, aid management. Mapping burned was traditionally done from field sketches. With the launch first Earth observation satellites, remote sensing quickly became more practical alternative detect areas, they provide timely regional global coverage...
This paper presents a review of concepts related to wildfire risk assessment, including the determination fire ignition and propagation (fire danger), extent which may spatially overlap with valued assets (exposure), potential losses resilience those (vulnerability). is followed by brief discussion how these can be integrated connected mitigation adaptation efforts. We then operational systems in place various parts world. Finally, we propose an system being developed under FirEUrisk...
Abstract During the last 30 years Vegetation Indices (VI) have been extensively used for tracing and monitoring vegetation conditions, such as health, growth levels, production, water nutrients stress, etc. In this paper characteristics of over 20 VIs based on VNIR spectrum are described in order to provide reader with adequate material form a picture their nature purpose. It is not, though, review article due fact that huge volume work exists all world simple lining up related papers would...
In this article, an extensive inventory in the literature of water erosion modelling from a geospatial point view is conducted. Concepts scale, spatiality and complexity are explored clarified theoretical background. Use Geographic Information Systems (GIS) pointed out as facilitating data mixing model rescaling thus increasing data-method relations. Spatial temporal scale spatial methodologies addressed most determining properties underlying modelling. Setting these classification criteria,...
Carbon sequestration service of Mediterranean forest and other wooded land is threatened by their fragile, complex, highly evolving nature, due to both human disturbances climate change. Remote-sensing methods for biomass estimation have gained increased attention, substantial research has been conducted worldwide over the past four decades. Yet, literature body focused on forests rather limited as a result small extent compared biomes. We discuss remote-sensing studies land, discriminating...
Traditionally fuel maps are built in terms of ‘fuel types’, thus considering the structural characteristics vegetation only. The aim this work is to derive a phenological map based on functional attributes coarse-scale phenology, such as seasonality and productivity. MODIS NDVI 250m images Sardinia (Italy), large Mediterranean island with high frequency fire incidence, were acquired for period 2000–2012 construct mean annual profile at pixel-level. Next, following procedure was used develop...
Remote sensing applications in water resources management are quite essential watershed characterization, particularly when mega basins under investigation. Water quality parameters help decision making regarding the further use of based on its quality. chlorophyll a concentration, nitrate and turbidity were used current study to estimate dam lake Wadi Baysh, Saudi Arabia. collected daily over 2 years (2017–2018) from treatment station located within vicinity correspondingly tested against...
Abstract Currently, many soil erosion studies at local, regional, national or continental scale use models based on the USLE-family approaches. Applications of these pay little attention to seasonal changes, despite evidence in literature which suggests that risk may change rapidly according intra-annual rainfall figures and vegetation phenology. This paper emphasises aspect seasonality mapping by using month-step erosivity data biophysical time series derived from remote-sensing. The...
Abstract. Over the past 2 decades, several global burned area products have been produced and released to public. However, accuracy assessment of such largely depends on availability reliable reference data that currently do not exist a scale or whose production require high level dedication project resources. The important lack for validation is addressed in this paper. We provide Burned Area Reference Database (BARD), first publicly available database created by compiling existing BA...
The catastrophic impact of wildfires on the economy and ecosystems Mediterranean countries in recent years, along with insufficient policies that favor disproportionally high funding for fire suppression, demand a more comprehensive understanding regimes. Satellite remote sensing products support generation relevant burned-area (BA) information, since they provide means systematic monitoring large areas worldwide at low cost. This research study assesses accuracy two publicly available MODIS...
The ever increasing need for accurate burned area mapping has led to a number of studies that focus on improving the accuracy and effectiveness. In this work, we investigate influence derivative spectral spatial features accurately recently areas using VHR IKONOS imagery. Our analysis considers both pixel object-based approaches, two advanced image techniques: (a) an efficient feature selection method based Fuzzy Complementary Criterion (FuzCoC) (b) Support Vector Machine (SVM) classifier....
This paper proposes the use of a genetic fuzzy-rule-based classification system for land cover from hyperspectral images. The proposed classifier, namely, Feature Selective Linguistic Classifier, is constructed through three-stage learning process. first stage produces preliminary fuzzy rule base in an iterative fashion. During this stage, local feature selection scheme employed, designed to guide evolution, evaluation deterministic information about relevance each with respect its ability....
Forest fires constitute a natural disturbance factor and an agent of environmental change with local to global impacts on Earth’s processes functions. Accurate knowledge forest fuel extent properties can be effective component for assessing the possible future wildfires ecosystem services. Our study aims evaluate compare spectral spatial information inherent in EO-1 Hyperion, Quickbird Landsat TM imagery. The analysis was based support vector machine classification approach order...