Digital image processing techniques were used for mapping structural features using a medium resolution image (ETM+) from Landsat 7. The aim of this study is to utilize remote sensed data and digital image processing techniques for updating the structural map in the north eastern part of the Dead Sea (Ma’in area), Jordan. The study area is becoming an important target for geological survey acti...

Sea Surface Temperature (SST) is one of the most significant parameters in oceanography. SST data can be used to analyse ocean and marine environments. required study Marine Protected Areas (MPAs), identification invasive species spreading areas, climate change, sea-level rise pollution predictions. For more than 30 years, satellites have provided images that assist understanding changes ecosys...

Human activities, such as agriculture and shrimp farming, have influenced the Huizache-Caimanero lagoon system, modifying the landscape and diminishing its natural productivity. Four Landsat MSS (multi-spectral scanner) and TM (thematic mapper) sub-images, taken between 1973 and 1997, were analysed to evaluate trends of changes in the lagoon, saltmarsh, mangrove, agriculture, secondary successi...

Mapping cropland distribution over large areas has attracted great attention in recent years, however, traditional pixel-based classification approaches produce high uncertainty in cropland area statistics. This study proposes a new approach to map fractional cropland distribution in Mato Grosso, Brazil using time series MODIS enhanced vegetation index (EVI) and Landsat Thematic Mapper (TM) dat...

This paper proposes a technique to extract urban built-up land features from Landsat Thematic Mapper (TM) and Enhanced Thematic Mapper Plus (ETM ) imagery taking two cities in southeastern China as examples. The study selected three indices, Normalized Difference Built-up Index (NDBI), Modified Normalized Difference Water Index (MNDWI), and Soil Adjusted Vegetation Index (SAVI) to represent thr...

Spatial variability in species richness has been postulated to depend upon environmental factors such as climatic variability, Net primary productivity and habitat heterogeneity. The Advanced Very High Resolution Radiometer (AVHRR)-Normalized Difference Vegetation Index (NDVI) has been shown to be correlated with climatic variability, Net primary productivity and habitat heterogeneity. Moreover...

The ability to detect and quantify changes in the Earth’s environment depends on satellites sensors that can provide calibrated, consistent measurements of Earth’s surface features through time. A critical step in this process is to put image data from subsequent generations of sensors onto a common radiometric scale. To evaluate Landsat-5 (L5) Thematic Mapper’s (TM) utility in this role, image...

M a p p i n g of snow and estimation of snow characteristics from satellite remote sensing data require that we distinguish snow from other surface cover and from clouds and compensate for the effects of the atmosphere and rugged terrain. The spectral signature of the snowpack is calculated from a radiative transfer model accounting for scattering and absorption by the ice grains, water inclusi...