- Remote Sensing, Geography, Cartography, Geographic Information Systems (GIS), Change detection, Time series analysis, and 10 moreEnvironmental Sustainability, Danube Delta, BlackSea Coast, Marine Ecology and Coastal Processes studies, Data Mining, Habitat Mapping, Wetlands, Geographic Information Systems GIS), Spatio Temporal Analysis, Precision Viticulture, and Viticultureedit
Flavescence dorée is a grapevine disease affecting European vineyards which has severe economic consequences and containing its spread is therefore considered as a major challenge for viticulture. Flavescence dorée is subject to... more
Flavescence dorée is a grapevine disease affecting European vineyards which has
severe economic consequences and containing its spread is therefore considered as a
major challenge for viticulture. Flavescence dorée is subject to mandatory pest control
including removal of the infected vines and, in this context, automatic detection of
Flavescence dorée symptomatic vines by unmanned aerial vehicle (UAV) remote sensing
could constitute a key diagnosis instrument for growers. The objective of this paper is to ...
severe economic consequences and containing its spread is therefore considered as a
major challenge for viticulture. Flavescence dorée is subject to mandatory pest control
including removal of the infected vines and, in this context, automatic detection of
Flavescence dorée symptomatic vines by unmanned aerial vehicle (UAV) remote sensing
could constitute a key diagnosis instrument for growers. The objective of this paper is to ...
Research Interests:
Research Interests:
Based on multi-sensor optical remote sensing techniques, more than 80 medium and high spatial resolution satellite images were used for studying the turbidity patterns of Danube Delta waters. During a selected 4-year temporal coverage... more
Based on multi-sensor optical remote sensing techniques, more than 80 medium and high spatial resolution satellite images were used for studying the turbidity patterns of Danube Delta waters. During a selected 4-year temporal coverage (2006 to 2009), the turbidity gradients were simultaneously analyzed in the delta plain lakes and in the Black Sea western–northwestern coastal zone. Two distinct, but complementary, methodologies for retrieving turbidity were employed, one for the lakes and the other for the coastal zone. After comparing the turbidity satellite-derived turbidity products with in-situ measurements, the inter-comparability of the products was independently verified. Then, through an integrative analysis, the initial hypothesis of turbidity control by the Danube River inputs was tested in both areas (Delta plain and coastal zone). Seasonal turbidity patterns were identified together with the mechanisms responsible for its important temporal and spatial variability. Reciprocal contributions derived from the association of multi-scale satellite products were highlighted.
Research Interests:
Research Interests:
Research Interests:
Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite... more
Nowadays, a huge amount of high resolution satellite images are freely available. Such images allow researchers in environmental sciences to study the different natural habitats and farming practices in a remote way. However, satellite images content strongly depends on the season of the acquisition. Due to the periodicity of natural and agricultural dynamics throughout seasons, sequential patterns arise as a new opportunity to model the behaviour of these environments. In this paper, we describe some preliminary results obtained with a new framework for studying spatiotemporal evolutions over natural and agricultural areas using k-partite graphs and sequential patterns extracted from segmented Landsat images.