Multi-temporal analysis is one of the main applications of remote sensing, and Landsat imagery has been one of the main resources for many years. However, the moderate spatial resolution (30 m) restricts their use for high precision applications. In this paper, we simulate Landsat scenes to evaluate, by means of an exhaustive number of tests, a subpixel registration process based on phase corre...

Remote sensing image data from sources such as Landsat or airborne multispectral digital cameras are typically in the form of digital count (DC) values. To compare images acquired by the same sensor system on different dates, or images acquired by different sensor systems, it is necessary to correct for differences in the DC values due to sensor characteristics (gain and offset), illumination o...

Mapping and assessment of mangrove environment are crucial since the mangrove has an important role in the process of human-environment interaction. In Indonesia alone, 25% of South East Asia's mangroves available are under threat. Recognizing the availability and the ability of new sensor of Landsat data, this study investigates the use of Landsat ETM + 7 and Landsat 8, acquired in 2002 and 20...

The unplanned and rapid increased in unban area have changed the atmospheric conditions non-urban less warm as compare to urban areas. In study little portion of Chenab River include river bed contains sand it shows high temperature value due its specific heat energy. For this Lands at-5 (February2000), Landsat-7(February 2005,2010) Landsat-8 (Feb2015, Feb2020, Feb2022) Data acquired from USGS....

In this paper we introduce a new procedure for classification and change detection by the integration in a fusion process using hybrid DSmT model, both, the contextual information obtained from a supervised ICM classification with constraints and the temporal information with the use of two images taken at two different dates. Secondly, we have proposed a new decision rule based on the DSmP tra...

Monitoring changes on Earth's surface is a difficult task commonly performed using multi-spectral remote sensing. The increasing availability of remote sensing platforms providing data makes multi-source approaches promising, since it can increase temporal revisit rate. However, Digital image processing techniques are needed to integrate the data, since sensors can be quite different in terms o...

Article history: Received 26 December 2006 Received in revised form 8 February 2008 Accepted 9 February 2008 Forest disturbance and recovery are critical ecosystem processes, but the spatial pattern of disturbance has never been mapped across North America. The LEDAPS (Landsat Ecosystem Disturbance Adaptive Processing System) project has assembled a wall-to-wall record of stand-clearing disturb...

The Landsat series of satellites provide a nearly continuous, high resolution data record of the Earth surface from the early 1970s through to the present. The public release of the entire Landsat archive, free of charge, along with modern computing capacity, has enabled Earth monitoring at the global scale with high spatial resolution. With the large data volume and seasonality varying across ...