Abstract. Landslide is one of the most common natural disasters triggered mainly due to heavy rainfall, cloud burst, earthquake, volcanic eruptions, unorganized constructions roads, and deforestation. In India, field surveying method used identify potential landslide regions update inventories maintained by Geological Survey but it very time-consuming, costly, inefficient. Alternatively, advanc...

This paper proposes a practical split-window algorithm (SWA) for retrieving land surface temperature (LST) from Landsat-8 Thermal Infrared Sensor (TIRS) data. This SWA has a universal applicability and a set of parameters that can be applied when retrieving LSTs year-round. The atmospheric transmittance and the land surface emissivity (LSE), the essential SWA input parameters, of the Landsat-8 ...

Landsat image data have been used to document global land cover and land use change since 1972. The archive of Landsat imagery constitutes some of the most valuable climate data records available to the world. There has been a longstanding interest in not only maintaining the continuity of Landsat imaging, but in increasing its temporal repeat frequency to improve agricultural and ecological mo...

Greenhouse mapping through remote sensing has received extensive attention over the last decades. In this article, the innovative goal relies on mapping greenhouses through the combined use of very high resolution satellite data (WorldView-2) and Landsat 8 Operational Land Imager (OLI) time series within a context of an object-based image analysis (OBIA) and decision tree classification. Thus, ...

Open surface water bodies play an important role in agricultural and industrial production, and are susceptible to climate change and human activities. Remote sensing data has been increasingly used to map open surface water bodies at local, regional, and global scales. In addition to image statistics-based supervised and unsupervised classifiers, spectral indexand threshold-based approaches ha...

Cloud cover and cloud shadow areas on satellite imagery restrict the practical use of remote sensing data. Thus, cloud screening and filling methods are critical for geospatial users. The recently launched Landsat-8 provides coastal/aerosol and cirrus bands to tackle this problem. In this case, clouds can be accurately detected with Landsat-8 data, and the masked cloud areas could be filled in ...