Most environmental studies are based upon data collected at fine spatial scales plots, sediments, cores, etc.. Furthermore, temporal scales of these studies have been relatively short days, weeks, months and few studies have exceeded three years duration the typical funding cycle.; Despite this history, environmental scientists are now being called upon to extrapolate findings from qplot-levelq studies to broader spatial scales and from short-term studies to longer temporal scales, up to decades for questions related to long-term processes such as global warming and the rise in sea level.; The complex questions being addressed internationally require that scientists take advantage of new technologies including remote sensing, geographic information systems GIS, and powerful climatic and environmental simulation models. As more environmental scientists begin to work at these broader spatial and temporal scales, and to utilize many of the newer technologies, they are recognising a whole new class of problems.; This book aims to address the most pertinent issues, and includes a comprehensive review of selected topics, case studies, and theoretical discussions, divided into seven sections each preceded by a brief introduction.The PLDS staff assisted individual investigators and science projects to find and acquire data that they needed for ... Some data were collected as part of a project staff core data collection effort (e.g., soil moisture and plant biomass time ... the system as a new data set that was subjected to preliminary QA Data Maturity Figure 5.5 Data flow diagram illustrating how data Scientific information systems 81.
|Title||:||Environmental Information Management And Analysis|
|Author||:||W K Michener, J W Brunt, S G Stafford|
|Publisher||:||CRC Press - 1994-08-08|