Remote sensing time series :
- 出版日期：c2015.
- 出版者：Springer,
- 页数：xxiii, 441 pages :
- 出版地：Cham :
- 第一责任说明：Claudia Kuenzer, Stefan Dech, Wolfgang Wagner, editors.
- 尺寸：25 cm.
- 分类号：a875.7 ; a625
- ISBN：9783319159669(hardback) :
MARC全文
02h0079754 20160517161632.0 160408s2015 sz ab frb |000|||eng d 9783319159669(hardback) : CNY978.00 Uk eng rda Uk CNNGL 621.3678 23 a875.7 ; a625 aX83 v5 Remote sensing time series : revealing land surface dynamics / Claudia Kuenzer, Stefan Dech, Wolfgang Wagner, editors. Cham : Springer, c2015. aCham : bSpringer, c[2015] xxiii, 441 pages : illustrations (black and white, and colour), maps (colour) ; 25 cm. atext btxt 2rdacontent aunmediated bn 2rdamedia avolume bnc 2rdacarrier Remote sensing and digital image processing, 1567-3200 ; volume 22 Includes bibliographical references. This volume comprises an outstanding variety of chapters on Earth Observation based time series analyses, undertaken to reveal past and current land surface dynamics for large areas. What exactly are time series of Earth Observation data? Which sensors are available to generate real time series? How can they be processed to reveal their valuable hidden information? Which challenges are encountered on the way and which pre-processing is needed? And last but not least: which processes can be observed? How are large regions of our planet changing over time and which dynamics and trends are visible? These and many other questions are answered within this book “Remote Sensing Time Series Analyses – Revealing Land Surface Dynamics”. Internationally renowned experts from Europe, the USA and China present their exciting findings based on the exploitation of satellite data archives from well-known sensors such as AVHRR, MODIS, Landsat, ENVISAT, ERS and METOP amongst others. Selected review and methods chapters provide a good overview over time series processing and the recent advances in the optical and radar domain. A fine selection of application chapters addresses multi-class land cover and land use change at national to continental scale, the derivation of patterns of vegetation phenology, biomass assessments, investigations on snow cover duration and recent dynamics, as well as urban sprawl observed over time. Also published electronically. Global environmental change ; Environmental monitoring ; Land use ; Time-series analysis. Remote sensing. ; Remote sensing. ; Remote sensing. aKuenzer, Claudia, ; eeditor. ; aDech, Stefan Werner, ; eeditor. ; aWagner, Wolfgang, ; d1969- ; eeditor. Remote sensing and digital image processing ; v. 22. aCN b010001 010001 625 K95r gljx1604 h1 ; rCNY978.00