Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. to (exclusive):

Time when dataset was created (processed) From

Time when dataset was created (processed) to (exclusive)

The raw CRS string as it appears in metadata (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm to (exclusive):

File format (GeoTiff, NetCDF):

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the absolute values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the total GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Absolute value of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Circular error probable (90%) of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals after removal of outliers, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Mean of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the x-axis (east-to-west) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) from:

Standard Deviation of the values of the y-axis (north-to-south) GCP residuals, in pixel units based on a 25 metre resolution reference image (i.e. 0.2 = 5 metres) to (exclusive):

Dataset UUID:

User who indexed the dataset:

When dataset was indexed:

Label:

Latitude range from:

Latitude range to (exclusive):

Longitude range from:

Longitude range to (exclusive):

Full metadata document:

Metadata type name of dataset:

ID of a metadata type:

Spatial reference code from the provider. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2019-04-20 09:36:32	ga_s2bm_ard_3-2-1_56HKG_2019-04-20_final
2019-04-30 09:36:33	ga_s2bm_ard_3-2-1_56HKG_2019-04-30_final
2019-05-10 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-05-10_final
2019-05-20 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-05-20_final
2019-05-30 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-05-30_final
2019-06-09 09:36:33	ga_s2bm_ard_3-2-1_56HKG_2019-06-09_final
2019-06-19 09:36:33	ga_s2bm_ard_3-2-1_56HKG_2019-06-19_final
2019-06-29 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-06-29_final
2019-07-09 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-07-09_final
2019-07-19 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-07-19_final
2019-07-29 09:36:34	ga_s2bm_ard_3-2-1_56HKG_2019-07-29_final
2019-08-08 09:36:33	ga_s2bm_ard_3-2-1_56HKG_2019-08-08_final
2019-08-18 09:36:32	ga_s2bm_ard_3-2-1_56HKG_2019-08-18_final
2019-08-28 09:36:30	ga_s2bm_ard_3-2-1_56HKG_2019-08-28_final
2019-09-07 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2019-09-07_final
2019-09-17 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2019-09-17_final
2019-09-27 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2019-09-27_final
2019-10-07 09:36:27	ga_s2bm_ard_3-2-1_56HKG_2019-10-07_final
2019-10-17 09:36:27	ga_s2bm_ard_3-2-1_56HKG_2019-10-17_final
2019-10-27 09:36:27	ga_s2bm_ard_3-2-1_56HKG_2019-10-27_final
2019-11-06 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2019-11-06_final
2019-11-16 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2019-11-16_final
2019-12-06 09:36:20	ga_s2bm_ard_3-2-1_56HKG_2019-12-06_final
2019-12-16 09:36:20	ga_s2bm_ard_3-2-1_56HKG_2019-12-16_final
2019-12-26 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2019-12-26_final
2020-01-05 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2020-01-05_final
2020-01-15 09:36:20	ga_s2bm_ard_3-2-1_56HKG_2020-01-15_final
2020-01-25 09:36:19	ga_s2bm_ard_3-2-1_56HKG_2020-01-25_final
2020-02-04 09:36:19	ga_s2bm_ard_3-2-1_56HKG_2020-02-04_final
2020-02-14 09:36:21	ga_s2bm_ard_3-2-1_56HKG_2020-02-14_final
2020-02-24 09:36:22	ga_s2bm_ard_3-2-1_56HKG_2020-02-24_final
2020-03-05 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2020-03-05_final
2020-03-15 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2020-03-15_final
2020-03-25 09:36:24	ga_s2bm_ard_3-2-1_56HKG_2020-03-25_final
2020-04-04 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2020-04-04_final
2020-04-14 09:36:22	ga_s2bm_ard_3-2-1_56HKG_2020-04-14_final
2020-04-24 09:36:20	ga_s2bm_ard_3-2-1_56HKG_2020-04-24_final
2020-05-04 09:36:23	ga_s2bm_ard_3-2-1_56HKG_2020-05-04_final
2020-05-14 09:36:25	ga_s2bm_ard_3-2-1_56HKG_2020-05-14_final
2020-05-24 09:36:26	ga_s2bm_ard_3-2-1_56HKG_2020-05-24_final
2020-06-03 09:36:27	ga_s2bm_ard_3-2-1_56HKG_2020-06-03_final
2020-06-13 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2020-06-13_final
2020-06-23 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2020-06-23_final
2020-07-03 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2020-07-03_final
2020-07-13 09:36:27	ga_s2bm_ard_3-2-1_56HKG_2020-07-13_final
2020-07-23 09:36:28	ga_s2bm_ard_3-2-1_56HKG_2020-07-23_final
2020-08-02 09:36:29	ga_s2bm_ard_3-2-1_56HKG_2020-08-02_final
2020-08-12 09:36:29	ga_s2bm_ard_3-2-1_56HKG_2020-08-12_final
2022-08-01 10:06:33	ga_s2bm_ard_3-2-1_54HWH_2022-08-01_final.stac-item
2022-08-04 10:16:28	ga_s2bm_ard_3-2-1_54HWH_2022-08-04_final.stac-item
2022-08-11 10:06:32	ga_s2bm_ard_3-2-1_54HWH_2022-08-11_final.stac-item
2022-08-14 10:16:27	ga_s2bm_ard_3-2-1_54HWH_2022-08-14_final.stac-item
2022-08-21 10:06:30	ga_s2bm_ard_3-2-1_54HWH_2022-08-21_final.stac-item
2022-08-24 10:16:24	ga_s2bm_ard_3-2-1_54HWH_2022-08-24_final.stac-item
2022-08-31 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2022-08-31_final.stac-item
2022-09-03 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2022-09-03_final.stac-item
2022-09-10 10:06:30	ga_s2bm_ard_3-2-1_54HWH_2022-09-10_final.stac-item
2022-09-13 10:16:26	ga_s2bm_ard_3-2-1_54HWH_2022-09-13_final.stac-item
2022-09-20 10:06:30	ga_s2bm_ard_3-2-1_54HWH_2022-09-20_final.stac-item
2022-09-23 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2022-09-23_final.stac-item
2022-09-30 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2022-09-30_final.stac-item
2022-10-03 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-10-03_final.stac-item
2022-10-04 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-10-04_final.stac-item
2022-10-10 10:06:26	ga_s2bm_ard_3-2-1_54HWH_2022-10-10_final.stac-item
2022-10-13 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-10-13_final.stac-item
2022-10-14 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2022-10-14_final.stac-item
2022-10-20 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2022-10-20_final.stac-item
2022-10-23 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-10-23_final.stac-item
2022-10-24 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2022-10-24_final.stac-item
2022-10-30 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-10-30_final.stac-item
2022-11-02 10:16:22	ga_s2bm_ard_3-2-1_54HWH_2022-11-02_final.stac-item
2022-11-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-11-03_final.stac-item
2022-11-09 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-11-09_final.stac-item
2022-11-12 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-11-12_final.stac-item
2022-11-19 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2022-11-19_final.stac-item
2022-11-22 10:16:24	ga_s2bm_ard_3-2-1_54HWH_2022-11-22_final.stac-item
2022-11-29 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-11-29_final.stac-item
2022-12-02 10:16:22	ga_s2bm_ard_3-2-1_54HWH_2022-12-02_final.stac-item
2022-12-09 10:06:24	ga_s2bm_ard_3-2-1_54HWH_2022-12-09_final.stac-item
2022-12-12 10:16:21	ga_s2bm_ard_3-2-1_54HWH_2022-12-12_final.stac-item
2022-12-19 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-12-19_final.stac-item
2022-12-22 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2022-12-22_final.stac-item
2022-12-29 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-12-29_final.stac-item
2023-01-01 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2023-01-01_final.stac-item
2023-01-08 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2023-01-08_final.stac-item
2023-01-11 10:16:20	ga_s2bm_ard_3-2-1_54HWH_2023-01-11_final.stac-item
2023-01-18 10:06:25	ga_s2bm_ard_3-2-1_54HWH_2023-01-18_final.stac-item
2023-01-21 10:16:22	ga_s2bm_ard_3-2-1_54HWH_2023-01-21_final.stac-item
2023-01-28 10:06:26	ga_s2bm_ard_3-2-1_54HWH_2023-01-28_final.stac-item
2023-01-31 10:16:21	ga_s2bm_ard_3-2-1_54HWH_2023-01-31_final.stac-item
2023-02-07 10:06:26	ga_s2bm_ard_3-2-1_54HWH_2023-02-07_final.stac-item
2023-02-10 10:16:22	ga_s2bm_ard_3-2-1_54HWH_2023-02-10_final.stac-item
2023-02-17 10:06:26	ga_s2bm_ard_3-2-1_54HWH_2023-02-17_final.stac-item
2023-02-20 10:16:23	ga_s2bm_ard_3-2-1_54HWH_2023-02-20_final.stac-item
2023-02-27 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2023-02-27_final.stac-item
2023-03-02 10:16:25	ga_s2bm_ard_3-2-1_54HWH_2023-03-02_final.stac-item
2023-03-09 10:06:32	ga_s2bm_ard_3-2-1_54HWH_2023-03-09_final.stac-item
2023-03-12 10:16:28	ga_s2bm_ard_3-2-1_54HWH_2023-03-12_final.stac-item
2023-03-19 10:06:32	ga_s2bm_ard_3-2-1_54HWH_2023-03-19_final.stac-item
2023-03-22 10:16:27	ga_s2bm_ard_3-2-1_54HWH_2023-03-22_final.stac-item

Return to ga_s2bm_ard_3 whole collection overview

ga_s2bm_ard_3: Geoscience Australia Sentinel 2B MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

All years