CHIRPS_v2_0_daily_p05_tif | Image collection format for CHIRPS v 2.0 daily
| global precipitation dataset (0.05 degrees
| resolution) from GeoTIFFs, expects list of .tif
| or .tif.gz files as input. [TAGS: CHIRPS,
| precipitation]
CHIRPS_v2_0_monthly_p05_tif | Image collection format for CHIRPS v 2.0 monthly
| global precipitation dataset (0.05 degrees
| resolution) from GeoTIFFs, expects list of .tif
| or .tif.gz files as input. [TAGS: CHIRPS,
| precipitation]
ESA_CCI_SM_ACTIVE | Collection format for ESA CCI soil moisture
| active product (version 4.7) [TAGS: Soil
| Moisture, ESA, CCI]
ESA_CCI_SM_PASSIVE | Collection format for ESA CCI soil moisture
| passive product (version 4.7) [TAGS: Soil
| Moisture, ESA, CCI]
GPM_IMERG_3B_DAY_GIS_V06A | Collection format for daily
| IMERG_3B_DAY_GIS_V06A data [TAGS: Precipitation,
| GPM, IMERG]
L8_L1TP | Collection format for Landsat 8 Level 1 TP
| product [TAGS: Landsat, USGS, Level 1, NASA]
L8_SR | Collection format for Landsat 8 surface
| reflectance product [TAGS: Landsat, USGS, Level
| 2, NASA, surface reflectance]
MxD09GA | Collection format for selected bands from the
| MODIS MxD09GA (Aqua and Terra) product [TAGS:
| MODIS, surface reflectance]
MxD10A2 | Collection format for selected bands from the
| MODIS MxD10A2 (Aqua and Terra) v006 Snow Cover
| product [TAGS: MODIS, Snow Cover]
MxD11A1 | Collection format for selected bands from the
| MODIS MxD11A2 (Aqua and Terra) v006 Land Surface
| Temperature product [TAGS: MODIS, LST]
MxD11A2 | Collection format for selected bands from the
| MODIS MxD11A2 (Aqua and Terra) v006 Land Surface
| Temperature product [TAGS: MODIS, LST]
MxD13A2 | Collection format for selected bands from the
| MODIS MxD13A2 (Aqua and Terra) product [TAGS:
| MODIS, VI, NDVI, EVI]
MxD13A3 | Collection format for selected bands from the
| MODIS MxD13A3 (Aqua and Terra) product [TAGS:
| MODIS, VI, NDVI, EVI]
MxD13Q1 | Collection format for selected bands from the
| MODIS MxD13Q1 (Aqua and Terra) product [TAGS:
| MODIS, VI, NDVI, EVI]
MxD14A2 | Collection format for the MODIS MxD14A2 (Aqua
| and Terra) product [TAGS: MODIS, Fire]
PlanetScope_3B_AnalyticMS_SR | Image collection format for PlanetScope 4-band
| scenes [TAGS: PlanetScope, BOA, Surface
| Reflectance]
Sentinel1_IW_GRD | Image collection format for Sentinel 1 Level 1
| GRD data as downloaded from the Copernicus Open
| Access Hub, expects a list of file paths as
| input. The format works on original ZIP
| compressed as well as uncompressed imagery.
| [TAGS: Sentinel, Copernicus, ESA, SAR]
Sentinel2_L1C | Image collection format for Sentinel 2 Level 1C
| data as downloaded from the Copernicus Open
| Access Hub, expects a list of file paths as
| input. The format works on original ZIP
| compressed as well as uncompressed imagery.
| [TAGS: Sentinel, Copernicus, ESA, TOA]
Sentinel2_L1C_AWS | Image collection format for Sentinel 2 Level 1C
| data in AWS [TAGS: Sentinel, Copernicus, ESA,
| TOA]
Sentinel2_L2A | Image collection format for Sentinel 2 Level 2A
| data as downloaded from the Copernicus Open
| Access Hub, expects a list of file paths as
| input. The format should work on original ZIP
| compressed as well as uncompressed imagery.
| [TAGS: Sentinel, Copernicus, ESA, BOA, Surface
| Reflectance]
Sentinel2_L2A_THEIA | Image collection format for Sentinel 2 Level 2A
| data as downloaded from Theia. [TAGS: Sentinel,
| ESA, Flat Reflectance, Theia]collection_formats
List predefined image collection formats
Description
gdalcubes comes with some predefined collection formats e.g. to scan Sentinel 2 data. This function lists available formats including brief descriptions.
Usage
Arguments
| Argument | Description |
|---|---|
| logical; should available formats and their descriptions be printed nicely, defaults to TRUE |
Details
Image collection formats define how individual files / GDAL datasets relate to an image collection, i.e., which bands they contain, to which image they belong, and how to derive aquisition date/time. They are described as a set of regular expressions in a JSON file and used by gdalcubes to extract this information from the paths and/or filenames.
Value
data.frame with columns name and description where the former describes the unique identifier that can be used in create_image_collection and the latter gives a brief description of the format.