The Fifth International Symposium on Recent Advances in Quantitative Remote Sensing was held in Torrent, Spain from 18 to 22 September 2018. It was sponsored and organized by the Global Change Unit (GCU) from the Image Processing Laboratory (IPL), University of Valencia (UVEG), Spain. This Symposium addressed the scientific advances in quantitative remote sensing in connection with real applications. Its main goal was to assess the state of the art of both theory and applications in the analysis of remote sensing data, as well as to provide a forum for researcher in this subject area to exchange views and report their latest results. In this book 89 of the 262 contributions presented in both plenary and poster sessions are arranged according to the scientific topics selected. The papers are ranked in the same order as the final programme.

"This bibliography compiles all publications written, co-authored, or commissioned by OFRI staff between 2001 and 2005. During this period over 200 publications were produced including 3 books, 87 journal articles, 26 reports, 11 technical notes, 5 newsletters, 47 papers/summaries in conference/workshop proceedings. Topics covered are diverse: understanding natural disturbance regimes and landscape dynamics, carbon budgets and effects of climate change on forests, results of 1998 ice storm research, silviculture studies covering everything from site preparation, tree improvement, stock production, planting, and vegetation management, to stand growth and yield, thinning, disease management and harvesting for conifer, mixedwood, and hardwood forests in the boreal and Great Lakes region of Ontario. Author and subject indexes are provided."--Document.

This publication is a compilation of papers that were presented at the IAHS Symposium on Remote Sensing for Environmental Monitoring and Change Detectionorganised by the IAHS International Commission on Remote Sensing, in Perugia, 2007. The 30 contributions cover approaches using the thermal infrared, microwave and radar; studies monitoring vegetation, snow and ice, and evapotranspiration; and the combination of remote sensing techniques and GISfor hydrological applications.