moderate resolution imaging spectroradiometer (modis) have been widely used for active fire detection in the world as the specific channels used for the fire detection have made the modis images applicable. the main objective was to explore the capability of modis images for active fire detection in the zagross forests using the modis contextual algorithm. the study was performed in the marivan...

snow cover area is one of the most important criteria to calculate snow melt runoff. this can have an effect on the biology of the plant and the environment of a region. using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. most of the useful methods in calculating snow cover area are based on satellite i...

in recent years, extraction of atmospheric temperature and humidity profiles from thermal bands of satellite images is a common practice. the most deployed images for this task have been acquired by moderate resolution imaging spectroradiometer (modis). this sensor which is onboard of terra and aqua platforms consists of a spectroradiometer with 36 bands in visible (vis), near infra-red (nir) u...

Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...

Snow cover area is one of the most important criteria to calculate snow melt runoff. This can have an effect on the biology of the plant and the environment of a region. Using the catchment basin physical characteristic to calculate snow cover area is a conventional method, though its accuracy is not good enough. Most of the useful methods in calculating snow cover area are based on satellite i...

Research has shown that remote sensing in both the optical and microwave domain has the capability of estimating vegetation water content (VWC). Though lower in spatial resolution than MODIS optical bands, AMSR-E microwave measurements are typically less affected by clouds, water vapor, aerosol or solar illumination, making them complementary to MODIS real time measurements over regions of clou...

soil moisture is one of the critical parameters in climatic, ecological and hydrological modeling and vegetation growth. soil moisture is important for environmental studies but due to ground-based point measurement of soil moisture is expensive and impractical for watershed measurement, this parameter is not be used widely to simulate and predict models. overall and uniform view on different p...

landsat 7 etm+ data is widely used in studies of the spatial distribution kc and vegetation cover parameters in regional and global scales but slc failure has greatly reduces its usefulness. additionally, the failure is permanent and has failed subsequent attempts to recover the slc, so required and practical way to address this problem is filling the pixels of missed data in the slc-off images...

In this paper, we propose a framework to detect human activities by constructing super-resolution images from the MODIS data. The highest resolution of the MODIS images is 250 meters per pixel, which is usually not enough to detect human activities. By magnifying and de-blurring the low resolution MODIS image through the SupportVector Regression, the constructed super-resolution image can achie...