test_that("One-year, multicores mosaic", { # create a random forest model rfor_model <- sits_train(samples_modis_ndvi, sits_rfor()) # create a data cube from local files data_dir <- system.file("extdata/raster/mod13q1", package = "sits") sinop <- sits_cube( source = "BDC", collection = "MOD13Q1-6", data_dir = data_dir, progress = FALSE ) output_dir <- paste0(tempdir(), "/mosaic") if (!dir.exists(output_dir)) { dir.create(output_dir) } # classify a data cube probs_cube <- sits_classify( data = sinop, ml_model = rfor_model, output_dir = output_dir, progress = FALSE ) # smooth the probability cube using Bayesian statistics bayes_cube <- sits_smooth(probs_cube, output_dir = output_dir) # label the probability cube label_cube <- sits_label_classification( bayes_cube, output_dir = output_dir, progress = FALSE ) # create roi roi <- sf::st_sfc( sf::st_polygon( list(rbind( c(-55.64768, -11.68649), c(-55.69654, -11.66455), c(-55.62973, -11.61519), c(-55.64768, -11.68649) )) ), crs = 4326 ) # crop and reproject original cube suppressWarnings({ mosaic_cube <- sits_mosaic( cube = sinop, roi = roi, output_dir = output_dir, version = "v1", multicores = 1, progress = FALSE ) }) expect_equal(mosaic_cube[["tile"]], "MOSAIC") expect_equal(nrow(mosaic_cube), 1) bbox_mos <- sits_bbox(mosaic_cube, as_crs = 4326) bbox_roi <- sf::st_bbox(roi) expect_true( bbox_mos[["xmin"]] < bbox_roi[["xmin"]] && bbox_mos[["xmax"]] > bbox_roi[["xmax"]] && bbox_mos[["ymin"]] < bbox_roi[["ymin"]] && bbox_mos[["ymax"]] > bbox_roi[["ymax"]] ) # crop and reproject classified image suppressWarnings({ mosaic_class <- sits_mosaic( cube = label_cube, roi = roi, crs = 4326, output_dir = output_dir, version = "v1", multicores = 1, progress = FALSE ) }) expect_equal(mosaic_class[["tile"]], "MOSAIC") expect_equal(nrow(mosaic_class), 1) bbox_cube <- sits_bbox(mosaic_class) bbox_roi <- sf::st_bbox(roi) expect_true( bbox_cube[["xmin"]] < bbox_roi[["xmin"]] && bbox_cube[["xmax"]] > bbox_roi[["xmax"]] && bbox_cube[["ymin"]] < bbox_roi[["ymin"]] && bbox_cube[["ymax"]] > bbox_roi[["ymax"]] ) # resume feature mosaic_class <- sits_mosaic( cube = label_cube, roi = roi, crs = 4326, output_dir = output_dir, version = "v1", progress = FALSE ) expect_equal(mosaic_class[["tile"]], "MOSAIC") # create new roi roi2 <- sf::st_sfc( sf::st_polygon( list(rbind( c(-55.91563676, -11.92443997), c(-55.02414662, -11.92443997), c(-55.02414662, -11.38658587), c(-55.91563676, -11.38658587), c(-55.91563676, -11.92443997) )) ), crs = 4326 ) # reproject classified image mosaic_class2 <- sits_mosaic( cube = label_cube, roi = roi2, crs = 4326, output_dir = output_dir, version = "v2", progress = FALSE ) expect_equal(mosaic_class2[["tile"]], "MOSAIC") expect_equal(nrow(mosaic_class2), 1) bbox_cube <- sits_bbox(mosaic_class2) bbox_roi <- sf::st_bbox(roi2) expect_true( bbox_cube[["xmin"]] > bbox_roi[["xmin"]] && bbox_cube[["xmax"]] < bbox_roi[["xmax"]] && bbox_cube[["ymin"]] > bbox_roi[["ymin"]] && bbox_cube[["ymax"]] < bbox_roi[["ymax"]] ) uncert_cube <- sits_uncertainty(probs_cube, output_dir = output_dir) mosaic_uncert <- sits_mosaic( cube = uncert_cube, roi = roi, crs = 4326, output_dir = output_dir, version = "v3", progress = FALSE ) expect_equal(mosaic_uncert[["tile"]], "MOSAIC") expect_equal(nrow(mosaic_uncert), 1) bbox_cube <- sits_bbox(mosaic_uncert) bbox_roi <- sf::st_bbox(roi) expect_true( bbox_cube[["xmin"]] < bbox_roi[["xmin"]] && bbox_cube[["xmax"]] > bbox_roi[["xmax"]] && bbox_cube[["ymin"]] < bbox_roi[["ymin"]] && bbox_cube[["ymax"]] > bbox_roi[["ymax"]] ) unlink(probs_cube$file_info[[1]]$path) unlink(bayes_cube$file_info[[1]]$path) unlink(label_cube$file_info[[1]]$path) unlink(mosaic_cube$file_info[[1]]$path) unlink(mosaic_class$file_info[[1]]$path) unlink(mosaic_class2$file_info[[1]]$path) unlink(mosaic_uncert$file_info[[1]]$path) unlink(uncert_cube$file_info[[1]]$path) })