Transitioning from change detection to monitoring with remote sensing: A paradigm shift

REMOTE SENSING OF ENVIRONMENT

卷:238

Article

Woodcock, Curtis E.¹  Loveland, Thomas R.²  Herold, Martin³  Bauer, Marvin E.⁴ 

[1] Boston Univ, Dept Earth & Environm, Boston, MA 02215 USA

[2] US Geol Survey, Earth Resources Observat & Sci EROS Ctr, Sioux Falls, SD 57198 USA

[3] Wageningen Univ & Res, Dept Environm Sci, Wageningen, Netherlands

[4] Univ Minnesota, Dept Forest Resources, St Paul, MN 55108 USA

关键词: Change detection and monitoring;    Time series analysis;    Future trends;    Paradigm shift;   

DOI  :  10.1016/j.rse.2019.111558

来源: Elsevier

【 摘 要 】

The use of time series analysis with moderate resolution satellite imagery is increasingly common, particularly since the advent of freely available Landsat data. Dense time series analysis is providing new information on the timing of landscape changes, as well as improving the quality and accuracy of information being derived from remote sensing. Perhaps most importantly, time series analysis is expanding the kinds of land surface change that can be monitored using remote sensing. In particular, more subtle changes in ecosystem health and condition and related to land use dynamics are being monitored. The result is a paradigm shift away from change detection, typically using two points in time, to monitoring, or an attempt to track change continuously in time. This trend holds many benefits, including the promise of near real-time monitoring. Anticipated future trends include more use of multiple sensors in monitoring activities, increased focus on the temporal accuracy of results, applications over larger areas and operational usage of time series analysis.

【 授权许可】

Free