Land Cover Classification with the Medium Resolution Imaging Spectrometer (meris)
نویسندگان
چکیده
The Medium Resolution Imaging Spectrometer (MERIS) is a payload component of Envisat-1. MERIS is operated over land with a standard 15 band setting acquiring images in the VIS and NIR part of the electromagnetic spectrum. Data are acquired at 300 m (full resolution) and 1,200 m (reduced resolution) spatial resolution over land, thus vegetation can be monitored at regional to global scales. The major merit of MERIS for land applications lies in the provision of (calibrated) data with a spatial resolution intermediate to that of NOAA-AVHRR or SPOT-VEGETATION and Landsat-TM or SPOT-HRV. This paper describes the results of a preliminary study towards the use of MERIS for land cover mapping in the Netherlands. Full resolution level 1b data of June 16, 2003, were used in this study. The Dutch land use data base LGN was used as a reference by aggregating the data base from 25 m to 300 m. First, quality and information content of the used MERIS images were explored. Subsequently, the feasibility of the data for land cover classifications was studied. Results showed that MERIS provided only moderate classification results when classifying the major land cover types in the Netherlands using just one image (overall classification accuracy of 49.7 % for seven classes and a Kappa coefficient of 0.369). Partial cloud cover had a negative effect on the accuracies obtained.
منابع مشابه
Use of Meris Data for Land Cover Mapping in the Netherlands
The Medium Resolution Imaging Spectrometer (MERIS) is a payload component of Envisat-1. MERIS is operated over land with a standard 15 band setting acquiring images in the VIS and NIR part of the electromagnetic spectrum. Data are acquired at 300 m (full resolution) and 1200 m (reduced resolution) spatial resolution over land, thus vegetation can be monitored at regional to global scales. Major...
متن کاملEvaluation of the performance of MERIS spectrometer data in snow cover monitoring in the boreal forest belt
This paper describes a work plan for the evaluation of the capabilities and performance of Medium Resolution Imaging Spectrometer (MERIS) data for monitoring snow covered land surfaces, specifically in the boreal forest belt. The performance of MERIS over snow in the northern latitudes is mainly estimated by comparison of time series derived from MERIS surface reflectance against values derived...
متن کاملUnmixing-based Landsat and Meris Image Fusion for Land Cover Mapping over the Netherlands
Anthropogenic land use activities are significantly contributing to the ecological degradation of the Earth system. Therefore, having actual and reliable land cover information is fundamental to study the impact of such an ecological degradation on our future welfare. High spatial resolution sensors, such as Landsat TM, are typically used to derive land cover information from local to regional ...
متن کاملLarge-scale Forest Fires in Siberia Analysed by Modis, Meris and Aster Multiresolution Satellite Imagery
Exceptionally large fires were observed in Southern Siberia in 2003. Persistent cloud cover and orbit parameters did not allow observation of large areas with high resolution imagery shortly after the fires. Therefore we used a combination of high, medium and low resolution satellite imagery in which Moderate Resolution Imaging Spectroradiometer (MODIS) was used to record fire occurrence each d...
متن کاملMonitoring Vegetation Dynamics Using Meris Fused Images
The MEdium Resolution Imaging Spectrometer (MERIS) can be used to monitor vegetation dynamics at regional to global scales. However, the spatial resolutions provided by this sensor (300 or 1200 m) might not be appropriate to monitor fragmented landscapes. This is why the synergistic use of MERIS full resolution (300 m) and a high spatial resolution land use/land cover database (25 m) is studied...
متن کامل