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
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_51HWB_2018-09-02_final.stac-item
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_51HWB_2018-09-12_final.stac-item
2018-10-02 11:12:46	ga_s2bm_ard_3-2-1_51HWB_2018-10-02_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HWB_2018-10-05_final.stac-item
2018-11-21 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2018-11-21_final.stac-item
2018-12-01 11:17:03	ga_s2bm_ard_3-2-1_51HWB_2018-12-01_final.stac-item
2018-12-31 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2018-12-31_final.stac-item
2019-01-10 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2019-01-10_final.stac-item
2019-01-30 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2019-01-30_final.stac-item
2019-02-02 11:27:08	ga_s2bm_ard_3-2-1_51HWB_2019-02-02_final.stac-item
2019-02-19 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2019-02-19_final.stac-item
2019-03-01 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2019-03-01_final.stac-item
2019-03-11 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2019-03-11_final.stac-item
2019-03-31 11:17:10	ga_s2bm_ard_3-2-1_51HWB_2019-03-31_final.stac-item
2019-04-10 11:17:12	ga_s2bm_ard_3-2-1_51HWB_2019-04-10_final.stac-item
2019-05-10 11:17:16	ga_s2bm_ard_3-2-1_51HWB_2019-05-10_final.stac-item
2019-05-30 11:17:16	ga_s2bm_ard_3-2-1_51HWB_2019-05-30_final.stac-item
2019-06-19 11:17:15	ga_s2bm_ard_3-2-1_51HWB_2019-06-19_final.stac-item
2019-07-09 11:17:16	ga_s2bm_ard_3-2-1_51HWB_2019-07-09_final.stac-item
2019-07-19 11:17:16	ga_s2bm_ard_3-2-1_51HWB_2019-07-19_final.stac-item
2019-08-28 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2019-08-28_final.stac-item
2019-09-07 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2019-09-07_final.stac-item
2019-11-06 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2019-11-06_final.stac-item
2019-11-16 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2019-11-16_final.stac-item
2019-12-16 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2019-12-16_final.stac-item
2020-01-05 11:17:03	ga_s2bm_ard_3-2-1_51HWB_2020-01-05_final.stac-item
2020-01-15 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2020-01-15_final.stac-item
2020-01-25 11:17:01	ga_s2bm_ard_3-2-1_51HWB_2020-01-25_final.stac-item
2020-02-14 11:17:03	ga_s2bm_ard_3-2-1_51HWB_2020-02-14_final.stac-item
2020-02-27 11:27:05	ga_s2bm_ard_3-2-1_51HWB_2020-02-27_final.stac-item
2020-03-05 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2020-03-05_final.stac-item
2020-03-18 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2020-03-18_final.stac-item
2020-03-25 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2020-03-25_final.stac-item
2020-04-14 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2020-04-14_final.stac-item
2020-04-17 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2020-04-17_final.stac-item
2020-05-24 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2020-05-24_final.stac-item
2020-06-13 11:17:10	ga_s2bm_ard_3-2-1_51HWB_2020-06-13_final.stac-item
2020-07-13 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2020-07-13_final.stac-item
2020-07-16 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2020-07-16_final.stac-item
2020-07-23 11:17:10	ga_s2bm_ard_3-2-1_51HWB_2020-07-23_final.stac-item
2020-07-26 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2020-07-26_final.stac-item
2020-08-05 11:27:11	ga_s2bm_ard_3-2-1_51HWB_2020-08-05_final.stac-item
2020-08-12 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2020-08-12_final.stac-item
2020-08-22 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2020-08-22_final.stac-item
2020-10-21 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2020-10-21_final.stac-item
2020-10-31 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2020-10-31_final.stac-item
2020-11-10 11:17:09	ga_s2bm_ard_3-2-1_51HWB_2020-11-10_final.stac-item
2020-11-30 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2020-11-30_final.stac-item
2020-12-03 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2020-12-03_final.stac-item
2020-12-10 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2020-12-10_final.stac-item
2020-12-13 11:27:01	ga_s2bm_ard_3-2-1_51HWB_2020-12-13_final.stac-item
2020-12-20 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2020-12-20_final.stac-item
2021-01-09 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2021-01-09_final.stac-item
2021-01-29 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2021-01-29_final.stac-item
2021-02-08 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2021-02-08_final.stac-item
2021-02-28 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2021-02-28_final.stac-item
2021-03-10 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2021-03-10_final.stac-item
2021-03-20 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2021-03-20_final.stac-item
2021-03-30 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2021-03-30_final.stac-item
2021-04-02 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2021-04-02_final.stac-item
2021-04-09 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2021-04-09_final.stac-item
2021-04-19 11:17:03	ga_s2bm_ard_3-2-1_51HWB_2021-04-19_final.stac-item
2021-04-22 11:27:02	ga_s2bm_ard_3-2-1_51HWB_2021-04-22_final.stac-item
2021-05-02 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2021-05-02_final.stac-item
2021-06-11 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2021-06-11_final.stac-item
2021-07-21 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2021-07-21_final.stac-item
2021-08-10 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2021-08-10_final.stac-item
2021-09-06 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2021-09-06_final.stac-item
2021-11-05 11:17:08	ga_s2bm_ard_3-2-1_51HWB_2021-11-05_final.stac-item
2021-11-25 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2021-11-25_final.stac-item
2021-12-08 11:26:58	ga_s2bm_ard_3-2-1_51HWB_2021-12-08_final.stac-item
2022-01-07 11:27:04	ga_s2bm_ard_3-2-1_51HWB_2022-01-07_final.stac-item
2022-01-14 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2022-01-14_final.stac-item
2022-02-13 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2022-02-13_final.stac-item
2022-04-24 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2022-04-24_final.stac-item
2022-04-27 11:27:01	ga_s2bm_ard_3-2-1_51HWB_2022-04-27_final.stac-item
2022-06-23 11:17:12	ga_s2bm_ard_3-2-1_51HWB_2022-06-23_final.stac-item
2022-08-25 11:27:08	ga_s2bm_ard_3-2-1_51HWB_2022-08-25_final.stac-item
2022-11-10 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2022-11-10_final.stac-item
2022-11-13 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2022-11-13_final.stac-item
2022-11-30 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2022-11-30_final.stac-item
2022-12-10 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2022-12-10_final.stac-item
2023-01-19 11:17:05	ga_s2bm_ard_3-2-1_51HWB_2023-01-19_final.stac-item
2023-03-23 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2023-03-23_final.stac-item
2023-04-22 11:27:10	ga_s2bm_ard_3-2-1_51HWB_2023-04-22_final.stac-item
2023-05-19 11:17:11	ga_s2bm_ard_3-2-1_51HWB_2023-05-19_final.stac-item
2023-05-22 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-05-22_final.stac-item
2023-06-11 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-06-11_final.stac-item
2023-07-11 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-07-11_final.stac-item
2023-08-20 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-08-20_final.stac-item
2024-01-14 11:17:04	ga_s2bm_ard_3-2-1_51HWB_2024-01-14_final.stac-item
2024-01-17 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2024-01-17_final.stac-item
2024-01-24 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2024-01-24_final.stac-item
2024-02-06 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2024-02-06_final.stac-item
2024-02-13 11:17:07	ga_s2bm_ard_3-2-1_51HWB_2024-02-13_final.stac-item
2024-03-04 11:17:02	ga_s2bm_ard_3-2-1_51HWB_2024-03-04_final.stac-item
2024-03-17 11:27:06	ga_s2bm_ard_3-2-1_51HWB_2024-03-17_final.stac-item
2024-03-24 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2024-03-24_final.stac-item
2024-03-27 11:27:07	ga_s2bm_ard_3-2-1_51HWB_2024-03-27_final.stac-item
2024-04-23 11:17:06	ga_s2bm_ard_3-2-1_51HWB_2024-04-23_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