Initiated in 1972, the Landsat program has provided a continuous record of earth observation for 35 years. The assemblage of Landsat spatial, spectral, and temporal resolutions, over a reasonably sized image extent, results in imagery that can be processed to represent land cover over large areas with an amount of spatial detail that is absolutely unique and indispensable for monitoring, manage...

large scale land use/cover changes and habitat fragmentation is a major factor in the distribution and functioning of ecosystems. for analysis the relationship between land use changes and their impacts on biodiversity, land cover and land use information is needed at different scales. the main goal of this study was to quantify the land use/ cover changes in arasbaran biosphere reserve, northw...

The 46km Livingstone Creek Catchment in south-eastern Australia was flown with a passive microwave airborne remote sensor (Polarimetric L-band Multibeam Radiometer, PLMR) as part of the National Airborne Field Experiment in 2006 with a spatial resolution of ~ 200m. The catchment was experiencing extreme drought conditions leading up to the experiment and as a result ground cover in the catchmen...

ABSTRACT: Due to the development of spatial resolution, spectral resolution and multi-image tasking of high-resolution satellite images, the generation of digital surface model (DSM) from high-resolution satellite images becomes an important and practical application. Nowadays, different image matching approaches such as global matching and semi-global matching has been developed to obtain dens...

change detection is process of identifying differences in the state of an object or phenomenon by observing it at different times when it can play an important role in regional planning. this study is an integration of remote sensing data and geographic information system in order to detect changes of land use/land cover around the bakhtegan lake in fars province from 1956 to 2007. after geomet...

Remote sensing image classification is a fundamental task in remote sensing image processing. In recent years, deep convolutional neural network (DCNN) has seen a breakthrough progress in natural image recognition because of three points: universal approximation ability via DCNN, large-scale database (such as ImageNet), and supercomputing ability powered by GPU. The remote sensing field is stil...

Abstract Drivers of land use change were captured by the DPSIR model where (D) represented human needs, Pressures (P), activities, State (S), ecosystem, Impact (I) services from ecosystem and Response (R), decisions taken users. Land sat MSS ETM+ (path 185, row 31) used in this study. The image (June 1987, May, 2000 July, 2014) was downloaded USGS Earth Resources Observation Systems data websit...

Sat-RNA is one of several replicating satellite RNAs which have been isolated from RNA encapsidated in cucumber mosaic virus (CMV) and which are totally dependent on CMV for replication. The 336 residue sequence of Sat-RNA obtained using the dideoxynucleotide chain termination and partial enzymic digestion procedures shows only a few short stretches (up to 11 residues) of sequence homology with...

In recent years, a growing body of evidence has recognized the tandem repeat sequences, and specifically satellite DNA, as a functional class of sequences in the genomic "dark matter." Using an original, complementary, and thus an eclectic experimental design, we show that the cat archetypal satellite DNA sequence, FA-SAT, is "frozen" conservatively in several Bilateria genomes. We found differ...

This paper presents an econometric analysis of land-cover change in western Honduras. Ground-truthed satellite image analysis indicates that between 1987 and 1996, net reforestation occurred in the 1,015.12 km study region. While some reforestation can be attributed to a 1987 ban on logging, the area of reforestation greatly exceeds that of previously clear-cut areas. Further, new area was also...