Ecosystems, their services, structures and functions are affected by complex environmental processes, which are both natural and human-induced and globally changing. In order to understand how ecosystems behave in globally changing environment, it is important to monitor the current status of ecosystems and their structural and functional changes in time and space. An essential tool allowing monitoring of ecosystems is remote sensing (RS). Many ecosystems variables are being translated into a spectral response recorded by RS instruments. It is however important to understand the complexity and synergies of the key ecosystem variables influencing the reflected signal. This can be achieved by analysing high resolution RS data from multiple so...
Major advances in detector technology and in the ability to process large amounts of spectrometer da...
Information on the amount and spatial distribution of canopy chlorophyll content is of importance fo...
The twenty six papers in this special issue focus on the technologies of hyperspectral remote sensin...
Forest management requires the use of comprehensive remote sensing data which enable monitoring of b...
Airborne imaging spectroscopy has undergone a rapid development over the last decade. The number of ...
Sustainable management of our natural resources is one of the major challenges at the beginning of t...
Representing the dynamic character of Vegetation in global climate modelling is a challenging task. ...
In recent years, the availability of airborne imaging spectroscopy (hyperspectral) data has expanded...
Forests can be considered as one of the most important Earth's ecosystems not only because of oxygen...
Hyperspectral sensors are a widely used tool in remote sensing of the Earth's surface. Due to the ve...
The current study assesses the potential of hyperspectral data for monitoring the initial stages of ...
Hyperspectral sensors are a widely used tool in remote sensing of the Earth’s surface. Due to the ve...
The UAS "Stuttgarter Adler" was designed as a flexible and cost-effective remote-sensing platform fo...
The Airborne Visible/Infrared imaging Spectrometer AVIS is a hyperspectral imager designed for envir...
In this study we evaluated various spectral inputs for retrieval of forest chlorophyll content (Cab)...
Major advances in detector technology and in the ability to process large amounts of spectrometer da...
Information on the amount and spatial distribution of canopy chlorophyll content is of importance fo...
The twenty six papers in this special issue focus on the technologies of hyperspectral remote sensin...
Forest management requires the use of comprehensive remote sensing data which enable monitoring of b...
Airborne imaging spectroscopy has undergone a rapid development over the last decade. The number of ...
Sustainable management of our natural resources is one of the major challenges at the beginning of t...
Representing the dynamic character of Vegetation in global climate modelling is a challenging task. ...
In recent years, the availability of airborne imaging spectroscopy (hyperspectral) data has expanded...
Forests can be considered as one of the most important Earth's ecosystems not only because of oxygen...
Hyperspectral sensors are a widely used tool in remote sensing of the Earth's surface. Due to the ve...
The current study assesses the potential of hyperspectral data for monitoring the initial stages of ...
Hyperspectral sensors are a widely used tool in remote sensing of the Earth’s surface. Due to the ve...
The UAS "Stuttgarter Adler" was designed as a flexible and cost-effective remote-sensing platform fo...
The Airborne Visible/Infrared imaging Spectrometer AVIS is a hyperspectral imager designed for envir...
In this study we evaluated various spectral inputs for retrieval of forest chlorophyll content (Cab)...
Major advances in detector technology and in the ability to process large amounts of spectrometer da...
Information on the amount and spatial distribution of canopy chlorophyll content is of importance fo...
The twenty six papers in this special issue focus on the technologies of hyperspectral remote sensin...