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Monitoring land cover changes using satellite high temporal resolution data
Indrová, Magdalena ; Štych, Přemysl (advisor) ; Lysák, Jakub (referee)
The objective of this work is to create a base of spectral characteristics of the monitored vegetation types and to create a classification of the land cover. In this work MERIS images obtained by KAGIK were used. Ten different categories of land cover were selected for the study. The spectral behaviour of all categories for the period April - November 2009 was determined. The spectral response of some defined categories (coniferous forests, developed areas) was stable during the year. Contrary to that, significant changes in the spectral response of agricultural crops were observed. The best results were obtained in the categories Forests and Oilseed rape. Finally, the method of Spectral Unmixing was also tested. This method is used when some pixels contain several cover types. Using this method the best result was also obtained in the category Forests. It is evident that the MERIS images can be used for monitoring land cover changes, but because of the coarse resolution only large and homogeneous areas can be studied.
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Evaluation of forest calamites using the remote sensing data
Chrást, Josef ; Štych, Přemysl (advisor) ; Jedlička, Jan (referee)
Evaluation of forest calamities using the remote sensing data Abstract The objective of this paper is to evaluate possibilities of medium-spatial resolution satellite data assimilation for monitoring of the forest disturbances. The aim of the study is to monitore the bark beetle outbreak in the Šumava Mountains. For this purpose were used eight MERIS scenes from 2002 to 2009. Spectral response of the damaged spruce stands has been analyzed on the based of the values of selected vegetation indices (NDVI, LAI, LAI.Cab, fCover, fAPAR and three newly defined indices) and their temporal progress. The results were compared with values for healthy forests. The values of spectral indices have shown the ability of data MERIS to monitor forest disturbances at regionale scale.
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Monitoring forest land by using the satellite high temporal resolution data in Czechia
Musilová, Romana ; Štych, Přemysl (advisor) ; Lysák, Jakub (referee)
Monitoring forest land by using the satellite high temporal resolution data in Czechia Abstrakt Research forest land by using remote sensing data is currently still being developed. This work aimed to evaluate the possibility of using data of high temporal resolution of satellite ENVISAT, specifically MERIS and AATSR sensors. First were identified two model territories, namely Krkonoše and area of Železné hory and Žďárské vrchy. Selected data were preprocessed, then the vegetation indices were calculated, which were used to describe the behavior of forest during the growing cycle, assessment of their health condition and humidity using AATSR data. Anothe part deals with a simple algorithm that would allow the highlight areas of forest to MERIS images. In the end I made a comparison of selected indices of monitoring forest land that type of data. Keywords: remote sensing, forest land, MERIS, AATSR, Envisat
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The use of high temporal resolution satellite data for monitoring of water quality
Šmejkalová, Tereza ; Štych, Přemysl (advisor) ; Slačíková, Jana (referee)
The use of high temporal resolution satellite data for monitoring of water quality Abstract Present study compares possibilities of sea water quality monitoring using high temporal resolution satellite data. The theoretical part describes basic principles of remote sensing, the spectral characteristics of water and their change caused by substances present in the water. The analytical modeling methods of chlorophyll-a concentration retrieval from MERIS data are described. In the study three processors are used, standard MERIS processor Case 2 Regional, FUB/Wew Water processor and FLH/MCI processor. In total 10 satellite images are processed, five for each of the two studied areas, the Golfe du Lion in France and Skagerrak and Kattegat straights in Northern Europe. As there is only limited dataset of in situ measurements available to validate the results, it is impossible to decide which of the processors is the most suitable one. It is however clear that none of the globally applicable algorithms can be as accurate as algorithms developed for the exact location and atmospheric actual conditions.
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Floods monitoring using ENVISAT / MERIS data
Rohelová, Kamila ; Štefanová, Eva (advisor) ; Potůčková, Markéta (referee)
Floods monitoring using ENVISAT / MERIS Abstract The object of this research work is to determine the suitability of data MERIS for monitoring floods. This study deals with issues of optical satellite data with medium spatial resolution for monitoring floods. It gives an overview of the use of methods for detection of flooding. Possibilities of data are practically tested on the selected archived data using the ESA of designed algorithm. A partial order is also screening the suitability of data for the Czech Republic. Processing of satellite data was done using free software Beam. Evaluation of possible use for monitoring is done on the basis of the resulting map outputs. Keywords: Floods, Envisat, MERIS
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The use of high temporal resolution satellite data for monitoring of water quality
Šmejkalová, Tereza ; Štych, Přemysl (advisor) ; Slačíková, Jana (referee)
The use of high temporal resolution satellite data for monitoring of water quality Abstract Present study compares possibilities of sea water quality monitoring using high temporal resolution satellite data. The theoretical part describes basic principles of remote sensing, the spectral characteristics of water and their change caused by substances present in the water. The analytical modeling methods of chlorophyll-a concentration retrieval from MERIS data are described. In the study three processors are used, standard MERIS processor Case 2 Regional, FUB/Wew Water processor and FLH/MCI processor. In total 10 satellite images are processed, five for each of the two studied areas, the Golfe du Lion in France and Skagerrak and Kattegat straights in Northern Europe. As there is only limited dataset of in situ measurements available to validate the results, it is impossible to decide which of the processors is the most suitable one. It is however clear that none of the globally applicable algorithms can be as accurate as algorithms developed for the exact location and atmospheric actual conditions.
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Monitoring forest land by using the satellite high temporal resolution data in Czechia
Musilová, Romana ; Štych, Přemysl (advisor) ; Lysák, Jakub (referee)
Monitoring forest land by using the satellite high temporal resolution data in Czechia Abstrakt Research forest land by using remote sensing data is currently still being developed. This work aimed to evaluate the possibility of using data of high temporal resolution of satellite ENVISAT, specifically MERIS and AATSR sensors. First were identified two model territories, namely Krkonoše and area of Železné hory and Žďárské vrchy. Selected data were preprocessed, then the vegetation indices were calculated, which were used to describe the behavior of forest during the growing cycle, assessment of their health condition and humidity using AATSR data. Anothe part deals with a simple algorithm that would allow the highlight areas of forest to MERIS images. In the end I made a comparison of selected indices of monitoring forest land that type of data. Keywords: remote sensing, forest land, MERIS, AATSR, Envisat
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Evaluation of forest calamites using the remote sensing data
Chrást, Josef ; Štych, Přemysl (advisor) ; Jedlička, Jan (referee)
Evaluation of forest calamities using the remote sensing data Abstract The objective of this paper is to evaluate possibilities of medium-spatial resolution satellite data assimilation for monitoring of the forest disturbances. The aim of the study is to monitore the bark beetle outbreak in the Šumava Mountains. For this purpose were used eight MERIS scenes from 2002 to 2009. Spectral response of the damaged spruce stands has been analyzed on the based of the values of selected vegetation indices (NDVI, LAI, LAI.Cab, fCover, fAPAR and three newly defined indices) and their temporal progress. The results were compared with values for healthy forests. The values of spectral indices have shown the ability of data MERIS to monitor forest disturbances at regionale scale.
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Floods monitoring using ENVISAT / MERIS data
Rohelová, Kamila ; Štefanová, Eva (advisor) ; Potůčková, Markéta (referee)
Floods monitoring using ENVISAT / MERIS Abstract The object of this research work is to determine the suitability of data MERIS for monitoring floods. This study deals with issues of optical satellite data with medium spatial resolution for monitoring floods. It gives an overview of the use of methods for detection of flooding. Possibilities of data are practically tested on the selected archived data using the ESA of designed algorithm. A partial order is also screening the suitability of data for the Czech Republic. Processing of satellite data was done using free software Beam. Evaluation of possible use for monitoring is done on the basis of the resulting map outputs. Keywords: Floods, Envisat, MERIS
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Monitoring land cover changes using satellite high temporal resolution data
Indrová, Magdalena ; Lysák, Jakub (referee) ; Štych, Přemysl (advisor)
The objective of this work is to create a base of spectral characteristics of the monitored vegetation types and to create a classification of the land cover. In this work MERIS images obtained by KAGIK were used. Ten different categories of land cover were selected for the study. The spectral behaviour of all categories for the period April - November 2009 was determined. The spectral response of some defined categories (coniferous forests, developed areas) was stable during the year. Contrary to that, significant changes in the spectral response of agricultural crops were observed. The best results were obtained in the categories Forests and Oilseed rape. Finally, the method of Spectral Unmixing was also tested. This method is used when some pixels contain several cover types. Using this method the best result was also obtained in the category Forests. It is evident that the MERIS images can be used for monitoring land cover changes, but because of the coarse resolution only large and homogeneous areas can be studied.
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