This study demonstrates the ability of GIS and Remote Sensing in capturing spatial-temporal data on land use and land cover classes. The nine land cover classes captured were Built-up area, Secondary forests, Savannah, Grasslands, and Shrublands containing herbaceous, Rain-fed shrub crops, Fresh water swamps, Water bodies, and Farmlands. The remote sensed imageries also displayed how the land u...

Lack of the global knowledge of land-cover changes limits our understanding of the earth system, hinders natural resource management and also compounds risks. Remote sensing data provides an opportunity to automatically detect and monitor land-cover changes. Although changes in land cover can be observed from remote sensing time series, most traditional change point detection algorithms do not ...

The insights gained from present land cover classification activities suggest integration of multiangle data into classification attempts for future progress. Land cover types that exhibit distinct signatures in the space of remote sensing data facilitate unambiguous identification of cover types. In this two-part series, we develop a theme for consistency among cover type definitions, uniquene...

Recommended Citation Jones, Christine L., "Comparing remote sensing and ground-based methods of quantifying cover type and carbon storage in an urban forest", Master's report, 2011 2 This report, " Comparing remote sensing and ground-based methods of quantifying cover type and carbon storage in an urban forest " , is hereby approved in partial fulfillment of the requirements for the Degree of M...

This paper addresses the problem of unsupervised land-cover classification of multi-spectral remotely sensed images in the context of self-learning by exploring different graph based clustering techniques hierarchically. The only assumption used here is that the number of land-cover classes is known a priori. Object based image analysis paradigm which processes a given image at different levels...

the degradation rate of mediterranean steppes, especially in north africa is 1% per year, and this considered as high a rate of degradation. this study conducted in 2014 in the south slope of the al-jabal al-akhdar, northeast libya to quantify the vegetation recovery rate and assess selected vegetation indices (vis) for mapping rangelands degradation status using remote sensing technology. thro...

land cover information is one of the most important prerequisite in urban management system. in this way remote sensing, as the most economic technology, is mainly used to produce land cover maps. considering the complicated and dense urban areas in third world countries, object based approaches are suggested as an effective image processing technique. the purpose of this paper are the introduc...

in this study, the environmental effects of land use changes on vegetation cover and emitted land surface temperature in two urban and non-urban areas of ardakan in yazd province, iran, were studied and compared temporally, using remote sensing technique. for this purpose, contemporary land sat satellite images in 1990 and 2002 were acquired and used. then vegetation cover maps were generated u...