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The ability of remote sensing to represent ecologically relevant features at multiple spatial scales makes it a powerful tool for studying wildlife distributions. Species of varying sizes perceive and...
With the increasing acceleration of urbanization, the degeneration of the environment and the Urban Heat Island (UHI) has attracted more and more attention. Quantitative delineation of UHI has become ...
The development of UAV-based sensing systems for agronomic applications serves the improvement of crop management. The latter is in the focus of precision agriculture which intends to optimize yield, ...
In the process of object-oriented change detection, the determination of the optimal segmentation scale is directly related to the subsequent change information extraction and analysis. Aiming at this...
The change detection of remote sensing images means analysing the change information quantitatively and recognizing the change types of the surface coverage data in different time phases. With the app...
From the last decade, the multi-scale image segmentation is getting a particular interest and practically being used for object-based image analysis. In this study, we have addressed the issues on mul...
Reliably ship detection in optical satellite images has a wide application in both military and civil fields. However, this problem is very difficult in complex backgrounds, such as waves, clouds, and...
Terrestrial Laser Scanning (TLS) is a well-known remote sensing tool that enables precise 3D acquisition of surface morphology from distances of a few meters to a few kilometres. The morphological rep...
Soil moisture is important to enable the growth of vegetation in the way that it also conditions the development of plant population. Additionally, its assessment is important in hydrology and agronom...
Western China is very susceptible to landslide hazards. As a result, landslide detection and early warning are of great importance. This work employs the SBAS (Small Baseline Subset) InSAR Technique f...
Land use changes associated with agriculture and forestry are a significant component in Australia’s carbon budget. In response to the need to quantify the resulting greenhouse gas emissions, the capa...
Satellite data from Moderate Resolution Imaging Radiometer (MODIS) is currently being used to extract net primary production (NPP) at global scale. Over the years, small scale on-ground flux tower mea...
Sampling methods have to be applied in agricultural condition monitoring at national scale. When selecting sampling methods, more attention needs to be paid not only to objects monitored, but also to ...
With a lot of successful applications of neural network-based classification, it has been recognized the classification can produce more accurate results than conventional approaches for remotely-sens...
In this paper, a 4D scale space representation is introduced aiming at denoising, smoothing and simplifying effectively airborne and spaceborne hyperspectral imagery. Our approach is based on a novel ...

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