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
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53HPV_2017-08-03_final.stac-item
2017-09-12 10:22:58	ga_s2bm_ard_3-2-1_53HPV_2017-09-12_final.stac-item
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_53HPV_2017-10-22_final.stac-item
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HPV_2017-11-01_final.stac-item
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53HPV_2017-11-11_final.stac-item
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_53HPV_2017-12-31_final.stac-item
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_53HPV_2018-05-10_final.stac-item
2018-05-30 10:26:10	ga_s2bm_ard_3-2-1_53HPV_2018-05-30_final.stac-item
2018-06-09 10:26:11	ga_s2bm_ard_3-2-1_53HPV_2018-06-09_final.stac-item
2018-08-08 10:22:44	ga_s2bm_ard_3-2-1_53HPV_2018-08-08_final.stac-item
2018-12-26 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2018-12-26_final.stac-item
2019-03-16 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2019-03-16_final.stac-item
2019-04-25 10:27:22	ga_s2bm_ard_3-2-1_53HPV_2019-04-25_final.stac-item
2019-06-04 10:27:23	ga_s2bm_ard_3-2-1_53HPV_2019-06-04_final.stac-item
2020-03-30 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2020-03-30_final.stac-item
2020-04-09 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2020-04-09_final.stac-item
2020-04-29 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2020-04-29_final.stac-item
2020-05-09 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2020-05-09_final.stac-item
2020-08-07 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2020-08-07_final.stac-item
2020-10-06 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2020-10-06_final.stac-item
2020-11-15 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2020-11-15_final.stac-item
2020-11-25 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2020-11-25_final.stac-item
2020-12-25 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2020-12-25_final.stac-item
2021-02-23 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2021-02-23_final.stac-item
2021-03-15 10:27:14	ga_s2bm_ard_3-2-1_53HPV_2021-03-15_final.stac-item
2021-05-04 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2021-05-04_final.stac-item
2021-07-23 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2021-07-23_final.stac-item
2021-10-11 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2021-10-11_final.stac-item
2021-12-20 10:27:09	ga_s2bm_ard_3-2-1_53HPV_2021-12-20_final.stac-item
2022-01-09 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2022-01-09_final.stac-item
2022-01-29 10:27:09	ga_s2bm_ard_3-2-1_53HPV_2022-01-29_final.stac-item
2022-02-28 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2022-02-28_final.stac-item
2022-04-09 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2022-04-09_final.stac-item
2022-04-29 10:27:08	ga_s2bm_ard_3-2-1_53HPV_2022-04-29_final.stac-item
2022-05-29 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2022-05-29_final.stac-item
2022-06-08 10:27:16	ga_s2bm_ard_3-2-1_53HPV_2022-06-08_final.stac-item
2022-06-18 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2022-06-18_final.stac-item
2022-06-28 10:27:20	ga_s2bm_ard_3-2-1_53HPV_2022-06-28_final.stac-item
2022-08-07 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2022-08-07_final.stac-item
2022-09-16 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2022-09-16_final.stac-item
2022-10-06 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2022-10-06_final.stac-item
2022-10-22 10:42:54	ga_s2bm_ard_3-2-1_53KQS_2022-10-22_final.stac-item
2022-11-01 10:43:11	ga_s2bm_ard_3-2-1_53KQR_2022-11-01_final.stac-item
2022-11-05 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2022-11-05_final.stac-item
2022-12-08 10:33:44	ga_s2bm_ard_3-2-1_53KQP_2022-12-08_final.stac-item
2023-01-07 10:33:40	ga_s2bm_ard_3-2-1_53KQP_2023-01-07_final.stac-item
2023-01-14 10:27:11	ga_s2bm_ard_3-2-1_53HPV_2023-01-14_final.stac-item
2023-01-17 10:33:11	ga_s2bm_ard_3-2-1_53KQR_2023-01-17_final.stac-item
2023-01-30 10:42:06	ga_s2bm_ard_3-2-1_53KQA_2023-01-30_final.stac-item
2023-02-06 10:33:02	ga_s2bm_ard_3-2-1_53KQS_2023-02-06_final.stac-item
2023-02-09 10:43:10	ga_s2bm_ard_3-2-1_53KQR_2023-02-09_final.stac-item
2023-03-15 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2023-03-15_final.stac-item
2023-03-21 10:42:57	ga_s2bm_ard_3-2-1_53KQS_2023-03-21_final.stac-item
2023-04-10 10:42:56	ga_s2bm_ard_3-2-1_53KQS_2023-04-10_final.stac-item
2023-04-14 10:27:15	ga_s2bm_ard_3-2-1_53HPV_2023-04-14_final.stac-item
2023-04-24 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2023-04-24_final.stac-item
2023-04-30 10:42:56	ga_s2bm_ard_3-2-1_53KQS_2023-04-30_final.stac-item
2023-05-04 10:27:17	ga_s2bm_ard_3-2-1_53HPV_2023-05-04_final.stac-item
2023-05-10 10:42:57	ga_s2bm_ard_3-2-1_53KQS_2023-05-10_final.stac-item
2023-05-24 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-05-24_final.stac-item
2023-05-30 10:42:59	ga_s2bm_ard_3-2-1_53KQS_2023-05-30_final.stac-item
2023-06-03 10:27:09	ga_s2bm_ard_3-2-1_53HPA_2023-06-03_final.stac-item
2023-06-03 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2023-06-03_final.stac-item
2023-06-13 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-06-13_final.stac-item
2023-06-13 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2023-06-13_final.stac-item
2023-06-23 10:27:09	ga_s2bm_ard_3-2-1_53HPA_2023-06-23_final.stac-item
2023-07-03 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-07-03_final.stac-item
2023-07-09 10:43:00	ga_s2bm_ard_3-2-1_53KQS_2023-07-09_final.stac-item
2023-07-13 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-07-13_final.stac-item
2023-07-13 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2023-07-13_final.stac-item
2023-07-23 10:27:11	ga_s2bm_ard_3-2-1_53HPA_2023-07-23_final.stac-item
2023-07-23 10:27:20	ga_s2bm_ard_3-2-1_53HPV_2023-07-23_final.stac-item
2023-08-02 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-08-02_final.stac-item
2023-08-02 10:27:19	ga_s2bm_ard_3-2-1_53HPV_2023-08-02_final.stac-item
2023-08-12 10:26:50	ga_s2bm_ard_3-2-1_53HPB_2023-08-12_final.stac-item
2023-08-12 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-08-12_final.stac-item
2023-08-22 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-08-22_final.stac-item
2023-09-01 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-09-01_final.stac-item
2023-09-11 10:27:09	ga_s2bm_ard_3-2-1_53HPA_2023-09-11_final.stac-item
2023-09-21 10:27:08	ga_s2bm_ard_3-2-1_53HPA_2023-09-21_final.stac-item
2023-09-27 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2023-09-27_final.stac-item
2023-10-01 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-10-01_final.stac-item
2023-10-07 10:42:55	ga_s2bm_ard_3-2-1_53KQS_2023-10-07_final.stac-item
2023-10-11 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-10-11_final.stac-item
2023-10-17 10:42:57	ga_s2bm_ard_3-2-1_53KQS_2023-10-17_final.stac-item
2023-10-21 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-10-21_final.stac-item
2023-10-31 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-10-31_final.stac-item
2023-11-10 10:27:07	ga_s2bm_ard_3-2-1_53HPA_2023-11-10_final.stac-item
2023-11-20 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2023-11-20_final.stac-item
2023-11-30 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2023-11-30_final.stac-item
2023-12-03 10:35:01	ga_s2bm_ard_3-2-1_53JQJ_2023-12-03_final.stac-item
2023-12-10 10:27:01	ga_s2bm_ard_3-2-1_53HPA_2023-12-10_final.stac-item
2023-12-20 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2023-12-20_final.stac-item
2023-12-30 10:27:06	ga_s2bm_ard_3-2-1_53HPA_2023-12-30_final.stac-item
2024-01-09 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2024-01-09_final.stac-item
2024-01-12 10:35:04	ga_s2bm_ard_3-2-1_53JPJ_2024-01-12_final.stac-item
2024-01-19 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2024-01-19_final.stac-item
2024-01-29 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2024-01-29_final.stac-item
2024-02-08 10:27:05	ga_s2bm_ard_3-2-1_53HPA_2024-02-08_final.stac-item
2024-02-18 10:27:06	ga_s2bm_ard_3-2-1_53HPA_2024-02-18_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

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