Journal
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
Volume 152, Issue -, Pages 132-144Publisher
ELSEVIER
DOI: 10.1016/j.isprsjprs.2019.04.009
Keywords
Digital repeat photography; xROI; ROI; Time-series; Phenology; PhenoCam
Categories
Funding
- National Science Foundation, through the Macrosystems Biology program [EF-1065029, EF-1702697]
- NASA through the AIST program [80NSSC17K0582]
- National Science Foundation [DEB-1114804]
- USDA Forest Service's Northern Research Station
- National Science Foundation's LTER program [DEB-1237491]
- Department of Energy Office of Science (BER)
- Agricultural Experiment Station of the University of Vermont
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Digital repeat photography and near-surface remote sensing have been used by environmental scientists to study environmental change for nearly a decade. However, a user-friendly, reliable, and robust platform to extract color-based statistics and time series from a large stack of images is still lacking. Here, we present an interactive open-source toolkit, called xROI, that facilitates the process of time series extraction and improves the quality of the final data. xROI provides a responsive environment for scientists to interactively (a) delineate regions of interest (ROI), (b) handle field of view (FOV) shifts, and (c) extract and export time series data characterizing color-based metrics. The software gives user the opportunity to adjust mask files or draw new masks, every time an FOV shift occurs. Utilizing xROI can significantly facilitate data extraction from digital repeat photography and enhance the accuracy and continuity of extracted data.
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