DocumentCode :
2144037
Title :
Biophysical properties of wetlands vegetation retrieved from satellite images
Author :
Dabrowska-Zielinska, Katarzyna ; Gruszczynska, Maria ; Yesou, Herve ; Kowalik, Wanda ; Hoscilo, Agata ; Malck, I.
Author_Institution :
Inst. of Geodesy & Cartography, Remote Sensing Centre, Warsaw
Volume :
7
fYear :
2004
fDate :
20-24 Sept. 2004
Firstpage :
4580
Abstract :
The investigation carried out at wetlands in Biebrza Basin, the biggest area of the marshes and swamps in Central Europe, aimed at finding the best biophysical properties of wetlands vegetation to characterise marshland habitats. The various soil-vegetation indices on the basis of all considered spectral bands of satellites as Landsat +ETM, SPOT, ERS-2, NOAA, ENVISAT have been calculated. The GEMI and EVI index calculated from SPOT VEGETATION was the best for distinguishing vegetation classes. Significant correlation between LAI measured at the ground and the indices was with GEMI and EVI index. Soil moisture values calculated from ERS-2 and ENVISAT microwave data well characterise marshland humidity classes. For the retrieval of the biophysical parameters as LAI (Leaf Area Index), vegetation moisture (VM) and soil moisture (SM), ERS-2.SAR and ENVISAT ASAR data acquired at VV, HV, VH and HH polarisations at two different viewing angles (IS2, IS4) have been applied. Evapotranspiration was assessed using NOAA AVHRR and meteorological data. ERS-2 and ENVISAT images have been obtained from ESA for AO-ID122 project
Keywords :
evaporation; geophysical signal processing; image retrieval; meteorology; microwave imaging; radar imaging; radar polarimetry; remote sensing by radar; soil; transpiration; vegetation mapping; Biebrza Basin; Central Europe; ENVISAT ASAR data; ENVISAT microwave data; ERS-2; ETM; EVI index; GEMI index; HH polarisation; HV polarisation; Landsat; Leaf Area Index; NOAA AVHRR data; SPOT VEGETATION; VH polarisation; VV polarisation; biophysical parameters; biophysical properties; evapotranspiration; marshes; marshland habitats; marshland humidity classes; meteorological data; satellite images; satellites spectral bands; soil moisture; soil-vegetation indices; swamps; vegetation moisture; wetlands vegetation retrieval; Europe; Humidity; Image retrieval; Information retrieval; Remote sensing; Satellites; Soil measurements; Soil moisture; Vegetation mapping; Virtual manufacturing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2004. IGARSS '04. Proceedings. 2004 IEEE International
Conference_Location :
Anchorage, AK
Print_ISBN :
0-7803-8742-2
Type :
conf
DOI :
10.1109/IGARSS.2004.1370174
Filename :
1370174
Link To Document :
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