Auflistung nach Autor:in "Jaquet, Jean-Michel"
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- KonferenzbeitragGlacier retreat and related natural hazards in Cordillera Blanca, Peru(Sh@ring – EnviroInfo 2004, 2004) Silverio, Walter; Jaquet, Jean-Michel; Kluser, StéphaneMulti-temporal mapping of glaciers is a key-tool to estimate freshwater reserves and to follow climate change. Based on Landsat TM images, the glaciated surface of Cordillera Blanca (Peru) has been estimated at 643 km 2 for 1987 and at 600 km2 for 1996. The development of three potentially dangerous glacial lakes in the Northern part of this area was surveyed using these images, together with additional ones for 1975 (MSS) and 2000 (ETM+).
- KonferenzbeitragMulti-source object-oriented classification of landcover using very high resolution imagery and digital elevation model(Sh@ring – EnviroInfo 2004, 2004) Harayama, Akiko; Jaquet, Jean-MichelWith high-resolution imagery such as ortho-photos and object-oriented software, semi-automatic mapping of urban land cover is possible. This approach allows low cost, rapid and standardized results, as shown by a pilot study carried out in Geneva area (Switzerland).
- KonferenzbeitragTracking Land-derived Pollution by Satellite in Eastern Mediterranean(Sh@ring – EnviroInfo 2004, 2004) Allenbach, Karin; Jaquet, Jean-MichelLarge, high chlorophyll plumes are visible on satellite imagery in the eastern Mediterranean Sea, especially along the Egyptian coast and off Tel Aviv, Haifa and Tyre. These large-scale features are particularly visible during spring and summer, due to the high contrast between coastal water and oligotrophic open sea. Plumes origin and dynamics are still unclear. Previous work by various authors has postulated the interplay of autochthonous (upwellings) or allochtonous (Nile coastal drift, rivers, sewage) nutrient sources inducing enhanced primary production. In this work, we attempt to follow the development of these chlorophyll plumes through a time-series of SeaWIFS satellite images, and to track their origin using Normalized Water Leaving Radiance (LNW) spectra.