This article is aimed to give the first results of the project studying the faults and tectonic style of the southwestern part of Turkey based on remote sensing techniques. LANDSAT-TM and ASTER satellite data have been used in visual interpretation. The several techniques based on DEM have been applying to interpret in the determining of the tectonic features. The anaglyph image produced from L...

S: This study shows that Landsat TM, JERS-VNIR (optical) and JERS-SAR (radar) data can be used for detecting edges of fragmented mangrove in the Sundarbans, Bangladesh. The classification JERS-SAR image gives highest overall classification accuracy of 85.53% and per class accuracy of 86.49% in detecting high contrast edges. Whereas overall classification accuracy of Landsat TM and JERS-VNIR ima...

Time series of images are required to extract and separate information on vegetation change due to phenological cycles, inter-annual climatic variability, and long-term trends. While images from the Landsat Thematic Mapper (TM) sensor have the spatial and spectral characteristics suited for mapping a range of vegetation structural and compositional properties, its 16-day revisit period combined...

In Australia, remotely sensed Landsat data is routinely used for mapping and monitoring the change in extent of woody perennial vegetation. Time-series remotely sensed satellite imagery and ground information is used to form multi-temporal classifications of presence/absence of woody cover, typically for state-based management and reporting of clearing. More recently, there has been increased i...