Errors in Time-Series Remote Sensing and an Open Access Application for Detecting and Visualizing Spatial Data Outliers Using Google Earth Engine - IEEE Journals & Magazine

peter.suber's bookmarks 2019-04-28

Summary:

"Following here is a case of NASA Moderate Resolution Imaging Spectroradiometer (MODIS) time-series vegetation productivity where we observed several substantial inconsistencies among versions of the same product. The anomalies discovered are not isolated to a particular region, persisting across geographies, and occurring at multiple time intervals. In response to these findings, we developed a simple yet effective open access application for detecting and visualizing remote sensing data outliers using the Google Earth Engine platform. ..."

Link:

https://ieeexplore.ieee.org/document/8672086

From feeds:

Open Access Tracking Project (OATP) ยป peter.suber's bookmarks

Tags:

oa.new oa.geo oa.data oa.quality oa.tools

Date tagged:

04/28/2019, 13:57

Date published:

04/28/2019, 09:57