DISASTER MONITORING WITH THE UTILIZATION OF ENVISAT MERIS SATELLITE IMAGES IN HUNGARY
Gizella Nádor(1), Zsuzsanna Suba(1), Gábor Csornai(1), István László(1) and Csaba Wirnhardt(1)
(1) Inst. of Geodesy, Cartography and Remote Sensing, Bosnyák tér 5, H-1149, Budapest, Hungary
Keywords: drought monitoring, crop development, remote sensing, ENVISAT MERIS, monitoring forest damage caused by insects, forest fire
The Hungarian Agricultural Remote Sensing Program (HARSP) led to the operational remote sensing based National Crop Monitoring and Production Forecast Program (CROPMON, 1997-2003) with the support of the Ministry of Agriculture and Regional Development. The Remote Sensing Center of Institute of Geodesy, Cartography and Remote Sensing (FÖMI RSC) provided nation-wide and local crop production forecasts, including areas and expected yields, exclusively on remote sensing basis.
Several operational applications have evolved from CROPMON’s technology basis: the development and maintenance of the Hungarian Land Parcel Identification System (LPIS-Hu; 2002-), the remote sensing control of area-based agricultural subsidies (CwRS, 1999-), together with the remote sensing supported national ragweed exemption program (2004-).
Remote sensing is an excellent tool for treatment, monitoring and documentation of disasters, because it assures rapid, reliable and objective information collection. The technology basis of CROPMON served as the background of operational remote sensing based drought monitoring and forest damage monitoring, because the inexpensive medium resolution satellite data (ENVISAT MERIS) can be used very effectively for the countrywide and regional survey.
The ESA–FÖMI Prodex-ENVISAT R&D project aimed at the rapid, regional monitoring of flood, waterlog and drought affected areas. As the follow-up, the ESA-FÖMI PECS-ENVISAT project (2004-2007) aimed at the improvement of the previous R+D activities. The tasks focus on the utilization of ENVISAT sensors by assessing a long monitoring period (2004-2007) and a large ENVISAT MERIS dataset (about 100 MERIS FR satellite images). The maps made in the framework of ESA-FÖMI PECS-ENVISAT project using ENVISAT MERIS data show the spatial and temporal development of the drought that hit Hungary in 2007 and the crop development between 2004 and 2006, at different levels (countrywide, regional).
Another R+D project “Monitoring of the forest damage caused by gypsy moth” was carried out by FÖMI in 2006. The task of this project was the monitoring forest damage caused by gypsy moth at regional level in 2005 and 2006 using ENVISAT MERIS data time series. This project was submitted to ESA and the contract for the “Utilization of ESA Data under Category-1 scheme” was signed in 2006. It assigned a quota of archived 50 MERIS FR satellite image data for this project at reproduction cost. The results were the elaboration of regional remote sensing based forest damage monitoring techniques based on the utilization of ENVISAT MERIS data providing large scale, timely and reliable data about the development of damage, and the process of forest regeneration. The maps made in the framework of this R+D project derived from ENVISAT MERIS data show the spatial and temporal development of forest damage on regional level. In addition, forest fire maps will also be shown that illustrate the forest fires resulted from drought in 2007.
With the climatic change it can be expected that drought will occur more and more frequently in the future and the gradual forest deterioration caused by insects and fires is also observable. For the effective prevention and the compensation of loss, the ENVISAT MERIS based characterization of crop development and forest damage assessment is very important at regional and country level. The poster will summarize the drought, crop development and forest damage monitoring activities using ENVISAT MERIS data carried out by FÖMI RSC between 2004 and 2007.
Keywords: ESA European
Space Agency - Agence spatiale europeenne,
observation de la terre, earth observation,
satellite remote sensing,
teledetection, geophysique, altimetrie, radar,
chimique atmospherique, geophysics, altimetry, radar,