add_upacc | Add user and producer accuracies to a confusion matrix. |
asses_accuracy_area | Asses accuracy and estimate area according to Olofsson |
asses_accuracy_simple | Asses accuracy |
brick_description | Description of the Bricks used for the classifications. |
castable2numeric | Test if a character can be casted to numeric. |
compare_ts | Util function for computing similarity parameters between two... |
compose_bands_s2 | Build band compositions for the given image's files. |
compute_indexes | Compute indexes |
confusion_raster | Compute the confusion matrix between two raster files. |
cov_get_areas | Get the areas |
cov_get_values | Get values from a coverage |
cov_proj | Transform a coverage's SRS |
cov_read | Read a coverage from a file on disk. |
cov_sample_random | Get random sample points |
cov_sample_stratified | Get random sample points |
cov_srs | Get a coverage's SRS. |
cov_type | Get the type of coverage. |
deter2mask | Build a mask from DETER. PRODES's SHP into a TIF. |
expert_samples | Samples collected by experts. |
expert_validation | Validation samples collected by experts. |
f1_score | Compute the F1 score. |
get_brick_md | Get metadata from a Brick filename |
get_brick_metadata | Create a tibble with metadata of the bricks in a directory. |
get_classified_maps | Get the maps resulting from a classification. |
get_corner_masks | Get the corner masks. |
get_deter_maps | Get the DETER maps. |
get_img_md | Get metadata from an image. |
get_number_of_bands | Get the number of bands in a file. |
get_prodes_map_key | Process the classified map labels. Build the key for encoding... |
get_prodes_maps | Get the PRODES maps. |
get_quantile_maps | Get the cloud quantile maps. |
get_timeseries | Get time series of sample points from SITS' bricks. |
get_timeseries_modis | Get MODIS time series for validates sample points. |
get_water_masks | Get the water masks. |
identify_missing_bricks | Identify bricks missing in directory. |
invert_mask | Swap the logical values in a raster mask. |
is_cov | Is the given object a coverage?. |
is_raster_valid | Check if gdalinfo is able to open the raster file. |
load_samples | Load sample time series from Rdata files |
mapbiomas_labels | Labels of Mapboimas Amazonia. |
mask_raster | Mask a raster. |
mask_with | Apply a mask to a raster. |
parse_training_log | Parse the log file of a training. |
pipe | Pipe |
process_valid_shp | Process a shapefile of validated samples. |
prodes2raster | Match PRODES to raster. |
prodes2raster_helper | Helper for rasterizing a PRODES shapefile. PRODES's SHP into... |
prodes2scene | Convert the PRODES' scene format to LANDSAT's. |
prodes_compute_area | Compute PRODES areas. |
prodes_labels | Labels of PRODES Amazonia. |
prodes_mapbiomas | Similatity between PRODES and MAPBIOMAS. |
prodes_rasterize | Rasterize PRODES. |
prodes_samples_interpolated | Sample time-series from the PRODES system using... |
prodes_samples_interpolated_few_clouds | Sample time-series from the PRODES system using interpolation... |
prodes_samples_mask_cloud | Sample time-series from the PRODES and cloud-masked LANSAT 8... |
prodes_samples_raw | Sample time-series from LANSAT 8 images. |
prodes_samples_simple | Sample time-series from the PRODES and LANSAT 8 images. |
prodes_samples_starfm | Sample time-series from the PRODES system using a fusion... |
prodes_samples_starfm_few_clouds | Sample time-series from the PRODES system using a fusion... |
raster2mask | Tranform a raster into a mask. |
replace_bands_with_random | Replace column values with random numbers. |
sim_sits_tibble | Simulate a sits_tibble made of random observations |
simulate_ts | Simulate a time series of a Vegetation Index (VI). Alber... |
splitAt | Split a vector at the given positions. |
training_logs | Logs of the training of Deep Learning. |
validate_csv | Validate CSV files of samples. |
validate_sampling | Validate a coverage |
vector2raster | Rasterize vectors |
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