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
2018-07-31 11:06:20	ga_s2bm_ard_3-2-1_52HCK_2018-07-31_final.stac-item
2018-10-09 11:06:20	ga_s2bm_ard_3-2-1_52HCK_2018-10-09_final.stac-item
2018-12-21 11:16:14	ga_s2bm_ard_3-2-1_52HCK_2018-12-21_final.stac-item
2019-04-07 11:06:30	ga_s2bm_ard_3-2-1_52HCK_2019-04-07_final.stac-item
2019-06-06 11:06:37	ga_s2bm_ard_3-2-1_52HCK_2019-06-06_final.stac-item
2020-02-04 11:14:54	ga_s2bm_ard_3-2-1_52JBQ_2020-02-04_final
2020-02-04 11:15:01	ga_s2bm_ard_3-2-1_52JBQ_2020-02-04_final
2020-02-14 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2020-02-14_final
2020-02-24 11:15:02	ga_s2bm_ard_3-2-1_52JBQ_2020-02-24_final
2020-02-24 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-02-24_final
2020-03-05 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-03-05_final
2020-03-15 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-03-15_final
2020-03-25 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-03-25_final
2020-04-01 11:06:22	ga_s2bm_ard_3-2-1_52HCK_2020-04-01_final.stac-item
2020-04-04 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2020-04-04_final
2020-04-14 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2020-04-14_final
2020-04-24 11:14:58	ga_s2bm_ard_3-2-1_52JBQ_2020-04-24_final
2020-04-24 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-04-24_final
2020-05-04 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2020-05-04_final
2020-05-14 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2020-05-14_final
2020-05-24 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2020-05-24_final
2020-05-31 11:06:30	ga_s2bm_ard_3-2-1_52HCK_2020-05-31_final.stac-item
2020-06-03 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-06-03_final
2020-06-13 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-06-13_final
2020-06-23 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2020-06-23_final
2020-07-03 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-07-03_final
2020-07-13 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-07-13_final
2020-07-23 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-07-23_final
2020-08-02 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2020-08-02_final
2020-08-12 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2020-08-12_final
2020-08-22 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2020-08-22_final
2020-09-01 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2020-09-01_final
2020-09-11 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-09-11_final
2020-09-21 11:15:09	ga_s2bm_ard_3-2-1_52JBQ_2020-09-21_final
2020-10-01 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2020-10-01_final
2020-10-11 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2020-10-11_final
2020-10-21 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2020-10-21_final
2020-10-31 11:15:10	ga_s2bm_ard_3-2-1_52JBQ_2020-10-31_final
2020-11-10 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2020-11-10_final
2020-11-20 11:15:08	ga_s2bm_ard_3-2-1_52JBQ_2020-11-20_final
2020-11-30 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2020-11-30_final
2020-12-10 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-12-10_final
2020-12-20 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2020-12-20_final
2020-12-30 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2020-12-30_final
2021-01-09 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-01-09_final
2021-01-19 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2021-01-19_final
2021-01-29 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2021-01-29_final
2021-02-08 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-02-08_final
2021-02-18 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2021-02-18_final
2021-02-28 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-02-28_final
2021-03-10 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-10_final
2021-03-20 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-20_final
2021-03-30 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2021-03-30_final
2021-04-09 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2021-04-09_final
2021-04-19 11:15:02	ga_s2bm_ard_3-2-1_52JBQ_2021-04-19_final
2021-04-29 11:15:03	ga_s2bm_ard_3-2-1_52JBQ_2021-04-29_final
2022-09-08 11:06:00	ga_s2bm_ard_3-2-1_52JBM_2022-09-08_final.stac-item
2022-09-08 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2022-09-08_final.stac-item
2022-09-18 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2022-09-18_final.stac-item
2022-10-18 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2022-10-18_final.stac-item
2022-10-28 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2022-10-28_final.stac-item
2022-10-28 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-10-28_final.stac-item
2022-11-07 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2022-11-07_final.stac-item
2022-11-17 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2022-11-17_final.stac-item
2022-11-27 11:05:59	ga_s2bm_ard_3-2-1_52JBM_2022-11-27_final.stac-item
2022-11-27 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-11-27_final.stac-item
2022-12-07 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2022-12-07_final.stac-item
2022-12-07 11:06:21	ga_s2bm_ard_3-2-1_52HCK_2022-12-07_final.stac-item
2022-12-07 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-12-07_final.stac-item
2022-12-17 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2022-12-17_final.stac-item
2022-12-27 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2022-12-27_final.stac-item
2022-12-27 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-12-27_final.stac-item
2023-01-16 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2023-01-16_final.stac-item
2023-01-26 11:05:56	ga_s2bm_ard_3-2-1_52JBM_2023-01-26_final.stac-item
2023-01-26 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2023-01-26_final.stac-item
2023-02-15 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2023-02-15_final.stac-item
2023-02-25 11:05:58	ga_s2bm_ard_3-2-1_52JBM_2023-02-25_final.stac-item
2023-03-17 11:06:02	ga_s2bm_ard_3-2-1_52JBM_2023-03-17_final.stac-item
2023-03-17 11:06:14	ga_s2bm_ard_3-2-1_52JBL_2023-03-17_final.stac-item
2023-03-27 11:06:01	ga_s2bm_ard_3-2-1_52JBM_2023-03-27_final.stac-item
2023-03-27 11:06:13	ga_s2bm_ard_3-2-1_52JBL_2023-03-27_final.stac-item
2023-04-26 11:06:00	ga_s2bm_ard_3-2-1_52JBM_2023-04-26_final.stac-item
2023-06-05 11:06:14	ga_s2bm_ard_3-2-1_52JBL_2023-06-05_final.stac-item
2023-06-25 11:06:14	ga_s2bm_ard_3-2-1_52JBL_2023-06-25_final.stac-item
2023-08-04 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-08-04_final.stac-item
2023-08-14 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-08-14_final.stac-item
2023-09-03 11:06:15	ga_s2bm_ard_3-2-1_52JBL_2023-09-03_final.stac-item
2023-11-02 11:06:12	ga_s2bm_ard_3-2-1_52JBL_2023-11-02_final.stac-item
2023-11-12 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2023-11-12_final.stac-item
2023-11-22 11:06:06	ga_s2bm_ard_3-2-1_52JBL_2023-11-22_final.stac-item
2023-12-02 11:06:00	ga_s2bm_ard_3-2-1_52JBL_2023-12-02_final.stac-item
2023-12-12 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2023-12-12_final.stac-item
2023-12-22 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2023-12-22_final.stac-item
2024-01-11 11:06:05	ga_s2bm_ard_3-2-1_52JBL_2024-01-11_final.stac-item
2024-01-21 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2024-01-21_final.stac-item
2024-02-20 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2024-02-20_final.stac-item
2024-04-10 11:06:10	ga_s2bm_ard_3-2-1_52JBL_2024-04-10_final.stac-item
2024-04-20 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2024-04-20_final.stac-item
2024-05-10 11:06:11	ga_s2bm_ard_3-2-1_52JBL_2024-05-10_final.stac-item
2024-05-20 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2024-05-20_nrt.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