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
2017-07-08 10:01:16	ga_s2bm_ard_3-2-1_54HXF_2017-07-08_final
2017-07-18 10:05:52	ga_s2bm_ard_3-2-1_54HXG_2017-07-18_final
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53HQA_2017-08-03_final
2017-09-21 10:52:04	ga_s2bm_ard_3-2-1_53KKV_2017-09-21_final
2017-10-07 11:06:57	ga_s2bm_ard_3-2-1_52LFL_2017-10-07_final
2017-12-31 10:16:56	ga_s2bm_ard_3-2-1_54HTF_2017-12-31_final
2018-01-27 11:56:04	ga_s2bm_ard_3-2-1_50HMH_2018-01-27_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54JTQ_2018-04-13_final
2018-04-13 10:27:05	ga_s2bm_ard_3-2-1_54JTR_2018-04-13_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMJ_2018-04-24_final
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_52JGL_2018-04-26_final
2018-04-28 09:41:07	ga_s2bm_ard_3-2-1_55GCP_2018-04-28_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51LUE_2018-05-04_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53KKV_2018-05-09_final
2018-05-10 10:17:04	ga_s2bm_ard_3-2-1_54JTR_2018-05-10_final
2018-05-24 11:45:49	ga_s2bm_ard_3-2-1_50HMH_2018-05-24_final
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_50JKP_2018-05-30_final
2018-06-26 10:07:03	ga_s2bm_ard_3-2-1_54LZJ_2018-06-26_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JPL_2018-07-03_final
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_54JTR_2018-07-09_final
2018-07-12 10:29:34	ga_s2bm_ard_3-2-1_54LWH_2018-07-12_final
2018-07-21 09:22:46	ga_s2bm_ard_3-2-1_55GEP_2018-07-20_final
2018-07-22 10:31:03	ga_s2bm_ard_3-2-1_53JQM_2018-07-22_final
2018-07-31 09:25:23	ga_s2bm_ard_3-2-1_55GFP_2018-07-30_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53JNM_2018-09-20_final
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53JRN_2018-09-20_final
2018-11-17 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-17_final
2019-01-05 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2019-01-05_final
2019-01-16 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2019-01-16_final
2019-02-03 10:51:22	ga_s2bm_ard_3-2-1_53LND_2019-02-03_final
2019-02-17 10:34:14	ga_s2bm_ard_3-2-1_54JTS_2019-02-17_final
2019-03-13 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-03-13_final
2019-03-14 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2019-03-14_final
2019-04-20 09:37:46	ga_s2bm_ard_3-2-1_55HDT_2019-04-20_final
2019-05-25 10:25:51	ga_s2bm_ard_3-2-1_54JUL_2019-05-25_final
2019-05-28 10:36:19	ga_s2bm_ard_3-2-1_53HME_2019-05-28_final
2019-07-01 10:10:07	ga_s2bm_ard_3-2-1_54LZP_2019-07-01_final
2019-07-21 10:16:09	ga_s2bm_ard_3-2-1_54HXJ_2019-07-21_final
2019-07-24 10:24:42	ga_s2bm_ard_3-2-1_54JTR_2019-07-24_final
2019-08-11 09:47:43	ga_s2bm_ard_3-2-1_55HCT_2019-08-11_final
2019-09-10 09:48:07	ga_s2bm_ard_3-2-1_55GCR_2019-09-10_final
2019-11-04 10:33:49	ga_s2bm_ard_3-2-1_53KQP_2019-11-04_final
2019-11-11 10:20:30	ga_s2bm_ard_3-2-1_54LWM_2019-11-11_final
2019-11-19 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-11-19_final
2019-12-24 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2019-12-24_final
2020-01-11 09:57:30	ga_s2bm_ard_3-2-1_55HBT_2020-01-11_final
2020-01-13 10:35:03	ga_s2bm_ard_3-2-1_54JTN_2020-01-13_final
2020-01-19 10:55:54	ga_s2bm_ard_3-2-1_52JFL_2020-01-19_final
2020-02-25 10:41:35	ga_s2bm_ard_3-2-1_53LPC_2020-02-25_final
2020-04-06 10:15:26	ga_s2bm_ard_3-2-1_54JVM_2020-04-06_final
2020-05-21 11:01:56	ga_s2bm_ard_3-2-1_53KKB_2020-05-21_final
2020-08-04 10:15:33	ga_s2bm_ard_3-2-1_54JVM_2020-08-04_final
2020-08-14 10:15:18	ga_s2bm_ard_3-2-1_54JVN_2020-08-14_final
2020-09-26 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2020-09-26_final
2020-09-27 11:36:46	ga_s2bm_ard_3-2-1_51HUD_2020-09-27_final
2020-10-30 11:45:14	ga_s2bm_ard_3-2-1_50JNR_2020-10-30_final
2021-01-13 10:50:27	ga_s2bm_ard_3-2-1_53LQG_2021-01-13_final.stac-item
2021-06-16 10:29:55	ga_s2bm_ard_3-2-1_54LXP_2021-06-16_final
2021-08-17 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2021-08-17_final
2021-09-07 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2021-09-07_final
2021-10-04 10:34:00	ga_s2bm_ard_3-2-1_53JRN_2021-10-04_final
2021-11-09 10:50:27	ga_s2bm_ard_3-2-1_53LQG_2021-11-09_final.stac-item
2021-12-20 10:20:25	ga_s2bm_ard_3-2-1_54LWM_2021-12-20_final
2021-12-27 10:11:08	ga_s2bm_ard_3-2-1_54LYJ_2021-12-27_final
2022-01-05 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2022-01-05_final
2022-03-17 10:09:56	ga_s2bm_ard_3-2-1_54LZP_2022-03-17_final
2022-03-30 10:21:12	ga_s2bm_ard_3-2-1_54LWJ_2022-03-30_final
2022-04-10 11:36:49	ga_s2bm_ard_3-2-1_50HPJ_2022-04-10_final
2022-04-12 12:13:45	ga_s2bm_ard_3-2-1_50KKB_2022-04-12_final
2022-04-16 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2022-04-16_final
2022-04-26 11:52:13	ga_s2bm_ard_3-2-1_50KQG_2022-04-26_final.stac-item
2022-05-02 10:34:12	ga_s2bm_ard_3-2-1_53JQM_2022-05-02_final
2022-05-05 10:45:37	ga_s2bm_ard_3-2-1_53JNF_2022-05-05_final
2022-05-09 10:21:59	ga_s2bm_ard_3-2-1_54KVF_2022-05-09_final
2022-05-25 10:43:48	ga_s2bm_ard_3-2-1_53KPP_2022-05-25_final
2022-05-26 11:52:20	ga_s2bm_ard_3-2-1_50KQG_2022-05-26_final.stac-item
2022-05-31 11:05:59	ga_s2bm_ard_3-2-1_52JEL_2022-05-31_final
2022-06-08 10:21:02	ga_s2bm_ard_3-2-1_54LWK_2022-06-08_final
2022-07-05 10:17:08	ga_s2bm_ard_3-2-1_54HWE_2022-07-05_final
2022-10-24 09:48:45	ga_s2bm_ard_3-2-1_55GCN_2022-10-24_final.stac-item
2022-11-22 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2022-11-22_final.stac-item
2023-01-01 10:17:14	ga_s2bm_ard_3-2-1_54HUE_2023-01-01_final.stac-item
2023-01-26 11:01:15	ga_s2bm_ard_3-2-1_52LGK_2023-01-26_final.stac-item
2023-02-03 10:26:37	ga_s2bm_ard_3-2-1_54HUG_2023-02-03_final.stac-item
2023-03-23 09:48:25	ga_s2bm_ard_3-2-1_55GBQ_2023-03-23_final.stac-item
2023-04-17 10:34:01	ga_s2bm_ard_3-2-1_53JRN_2023-04-17_final.stac-item
2023-05-07 10:33:15	ga_s2bm_ard_3-2-1_53KPS_2023-05-07_final.stac-item
2023-06-10 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-06-10_final.stac-item
2023-06-26 10:34:23	ga_s2bm_ard_3-2-1_53JQM_2023-06-26_final.stac-item
2023-08-25 10:34:29	ga_s2bm_ard_3-2-1_53JNM_2023-08-25_final.stac-item
2023-09-21 10:24:37	ga_s2bm_ard_3-2-1_54JTR_2023-09-21_final.stac-item
2023-10-10 10:52:21	ga_s2bm_ard_3-2-1_53KNV_2023-10-10_final.stac-item
2023-10-24 10:31:58	ga_s2bm_ard_3-2-1_54KVF_2023-10-24_final.stac-item
2023-12-24 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2023-12-24_final.stac-item
2023-12-30 10:20:44	ga_s2bm_ard_3-2-1_54LXL_2023-12-30_final.stac-item
2024-02-05 10:11:37	ga_s2bm_ard_3-2-1_54KZG_2024-02-05_final.stac-item
2024-02-17 10:53:11	ga_s2bm_ard_3-2-1_53KLS_2024-02-17_final.stac-item
2024-02-25 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2024-02-25_final.stac-item
2024-03-09 10:20:48	ga_s2bm_ard_3-2-1_54LYK_2024-03-09_final.stac-item
2024-03-12 10:34:10	ga_s2bm_ard_3-2-1_53JNN_2024-03-12_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