Sentinel-2A MSI is the Landsat-like spatial resolution (10–60 m) super-spectral instrument of the European Space Agency (ESA), aimed at additional data continuity for global land surface monitoring with Landsat and Satellite Pour l’Observation de la Terre (SPOT) missions. Several simulation studies have been conducted in the last several years to show the potential of Sentinel-2A MSI (MultiSpec...

There is a trend to acquire high accuracy land-cover maps using multi-source classification methods, most of which are based on data fusion, especially pixel-or feature-level fusions. A probabilistic graphical model (PGM) approach is proposed in this research for 30 m resolution land-cover mapping with multi-temporal Landsat and MODerate Resolution Imaging Spectroradiometer (MODIS) data. Indepe...

Remote sensing technology is used in many areas today, facilitating spatial analysis operations under difficult conditions. This offers solutions different fields such as forest degradation, land classification, change and mine detection. In particular, detection of great importance for the economies countries. Detecting mines with terrestrial measurement techniques vegetated a challenging situ...

In the context of Bonn Challenge, Pakistan started Forest Landscape Restoration (FLR) in 2014. This study assessed growth performance and survival rate young plantations developed linear regression models by using Landsat-8 data. The results showed that fast-growing species such as Eucalyptus camaldulensis Robinia pseudoacacia have shown a good compared to Pinus roxburghii Cedrus deodara. veget...

This paper presents a comparison between L-band HH JERS-1 SAR and Landsat TM data for land cover assessment in an Amazonian test site. For this, a study area located in the south of Rondônia State, western Brazilian Amazonia, was selected. The Landsat TM data acquired on August 1 1997 were converted to vegetation, soil, and shade fraction images, using a Linear Spectral Mixing Model. These frac...

This paper discusses the use of multitemporal remote sensing data for mapping and monitoring land cover in Acre State located in the western Brazilian Amazônia. According to IBGE vegetation maps, the study area is primarily covered by moist tropical forests (“Floresta Ombrofila Aberta”) that has been partially deforested during the last decades. The climate in Acre is classified as Am in the Ko...