I have been using SNAP GPT to process Sentinel-2 images using StatisticsOp to overlay shape files of farm lots and etxract statistical information on NDVI etc over time from mutiple images. It was great!
I wish to extend the same with Landsat- 8 images. There is no issue in reading zipped archive files. But Region of Interest (ROI) shape files vector overlay does not extract data as intended within GPT using StatisticsOP.
org.esa.snap.core.gpf.OperatorException: The specified region, if not null, must intersect with the image`s bounds.
SNAP can read files like LC08_L1TP_093083_20160228_20170329_01_T1 but Region of Interest (ROI) loaded from vector files appear on the images and not appear in ROI mask list for any analysis.
Has any body come across issues with mask vector overlays with landsat-8 data in SNAP or within GPT?
Thanks in advance