The Landsat 7 (L7) spacecraft and its instrument, the enhanced thematic mapper plus (ETM+), have been consistently characterized calibrated since launch in April of 1999. These performance metrics calibration updates are determined through U. S. Geological Survey (USGS) image assessment system (IAS), which has performing this function launch. Starting 2016, USGS adopted a tiered collection mana...

We introduce the use of remote sensing analysis in providing new insight in characterizing green turtle nesting habitat. A maximum likelihood classification (MLC) and a multiple endmember spectral mixture analysis (MESMA) were conducted on a Landsat image that contained six nesting beaches in Turkey that represent varying degrees of importance. Both techniques highlighted similarities of the ve...

Landsat images provide the satellite observations of the earth’s land surface. Due to the nature, Landsat images are highly affected by thick clouds. A new method based on a modified neighborhood similar pixel interpolator (NSPI) approach was developed for improving quality and availability of landsat images . It was developed for filling gaps due to Landsat ETM+ Scan line Corrector (SLC) –off ...

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...

The linear scale invariance of the multivariate alteration detection (MAD) transformation is used to obtain invariant pixels for automatic relative radiometric normalization of time series of multispectral data. Normalization by means of ordinary least squares regression method is compared with normalization using orthogonal regression. The procedure is applied to Landsat TM images over Nevada,...

Landsat 8, the most recently launched satellite of the series, promises to maintain the continuity of Landsat 7. However, in addition to subtle differences in sensor characteristics and vegetation index (VI) generation algorithms, VIs respond differently to the seasonality of the various types of vegetation cover. The purpose of this study was to elucidate the effects of these variations on VIs...

Semi‐automated methods for mapping wetlands using Landsat ETM+ and SRTM data Md. A. Islam a , P. S. Thenkabail a , R. W. Kulawardhana a , R. Alankara a , S. Gunasinghe a , C. Edussriya b & A. Gunawardana b a International Water Management Institute , P.O. Box 2075, Colombo, Sri Lanka b Central Environmental Authority , No. 104, Denzil Kobbekaduwa, Mawatha, Battaramulla, Sri Lanka Published onli...

International Journal of Remote Sensing Publication details, including instructions for authors and subscription information: http://www.informaworld.com/smpp/title~content=t713722504 Gaps-fill of SLC-off Landsat ETM+ satellite image using a geostatistical approach C. Zhang a; W. Li a; D. Travis b a Department of Geography, Kent State University, b Department of Geography and Geology, Universit...

As a critical variable to characterize the biophysical processes in ecological environment, and as a key indicator in the surface energy balance, evapotranspiration and urban heat islands, Land Surface Temperature (LST) retrieved from Thermal Infra-Red (TIR) images at both high temporal and spatial resolution is in urgent need. However, due to the limitations of the existing satellite sensors, ...

For many coastal waters, total suspended matter (TSM) plays a major role in key biological, chemical and geological processes. Effective mapping and monitoring technologies for TSM are therefore needed to support research investigations and environmental assessment and management efforts. Although several investigators have demonstrated that TSM or suspended sediments can be successfully mapped...