R sensed data have been employed for the characterization of ecologically important variables from local through global contexts. These data may be used to generate a wide range of estimates that are valuable to ecologists, including information on land cover, vegetation cover, habitat, forest structure, and forest function (Kerr and Ostrovsky 2003), and to track changes in these variables. Rec...

We describe a remote sensing and GIS-based study that has three objectives: (1) characterize fine particulate matter (PM2.5), insolation and land surface temperature using NASA satellite observations, EPA ground-level monitor data and North American Land Data Assimilation System (NLDAS) data products on a national scale; (2) link these data with public health data from the REasons for Geographi...

Remotely sensed data - available at medium to high resolution across global spatial and temporal scales - are a valuable resource for ecologists. In particular, products from NASA's MODerate-resolution Imaging Spectroradiometer (MODIS), providing twice-daily global coverage, have been widely used for ecological applications. We present MODISTools, an R package designed to improve the accessing,...

Remotely sensed imagery has been used for developing and validating various studies regarding land cover dynamics such as global carbon modeling, biogeochemical cycling, hydrological modeling, and ecosystem response mod-eling. However, the large amounts of imagery collected by the satellites are largely contaminated by the eeects of atmospheric particles through absorption and scattering of the...

Classification of remotely sensed imagery gives variable and often poor quality results. The causes and nature of these errors have been the subject of extensive research.. There are two different components of accuracy in the context of remote sensing: positional and thematic accuracy. Positional accuracy determines how closely the position of discrete objects shown on a rectified image (map) ...

Boreal peatlands play a major role in carbon and water cycling and other global environmental processes but understanding this role is constrained by inconsistent representation of peatlands on, or omission from, many global land cover maps. The comparison of several widely used global and continental-scale databases on peat-5 land distribution with a detailed map for the St. Petersburg region ...

A generalized model characterizing most remotely sensed data pixel-level fusion techniques is very important for theoretical analysis and applications. This paper focuses on the establishment of a generalized model for most data fusion methods, which is helpful to quantitatively analyze and quickly implement different data fusion techniques. As an example, the PCA fusion method is selected to d...

Fractal geometry is increasingly becoming a useful tool for modeling natural phenomenon. As an alternative to Euclidean concepts, fractals allow for a more accurate representation of the nature of complexity in natural boundaries and surfaces. Since they are characterized by self-similarity, an ideal fractal surface is scale-independent; i.e at different scales a fractal surface looks the same....