Remote Sensing Time Series: Revealing Land Surface Dynamics (Remote Sensing and Digital Image Processing)

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.  

本書《遙感時間序列分析-揭示地表動態》包含了多個優秀的章節，介紹了基於地球觀測的時間序列分析，以揭示大範圍地表的過去和現在的動態變化。什麼是地球觀測數據的時間序列？有哪些傳感器可以生成實時序列？如何處理這些數據以揭示它們的有價值的隱藏信息？在這個過程中遇到了哪些挑戰，需要進行哪些預處理？最後但同樣重要的是：可以觀察到哪些過程？我們的地球上的大區域如何隨著時間而變化，有哪些動態和趨勢是可見的？這本書回答了這些問題以及其他許多問題。來自歐洲、美國和中國的國際知名專家根據來自著名傳感器（如AVHRR、MODIS、Landsat、ENVISAT、ERS和METOP等）的衛星數據檔案庫的利用，呈現了他們的令人興奮的研究成果。選擇性的綜述和方法章節提供了時間序列處理和光學和雷達領域最新進展的良好概述。一系列應用章節涵蓋了從國家到大陸尺度的多類土地覆蓋和土地利用變化，植被物候模式的推導，生物量評估，雪被持續時間和最近動態的研究，以及隨著時間推移觀察到的城市擴張。