Search ga_s2bm_ard_3 whole collection

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

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

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

ID of a dataset type:

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

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

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

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

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

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

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

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

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

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

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

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

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

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

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

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

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

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_50JLQ_2017-08-13_final.stac-item
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNJ_2017-09-16_final.stac-item
2017-09-20 11:25:57	ga_s2bm_ard_3-2-1_51HVE_2017-09-20_final.stac-item
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KUP_2017-11-05_final.stac-item
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_51JZN_2017-11-09_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51JYJ_2017-11-29_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51JWM_2017-12-02_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KNA_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KRC_2017-12-18_final.stac-item
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51JXH_2017-12-19_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51JVM_2018-04-11_final.stac-item
2018-11-17 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2018-11-17_final.stac-item
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final.stac-item
2018-11-20 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-11-20_final.stac-item
2018-11-23 11:53:28	ga_s2bm_ard_3-2-1_50KQB_2018-11-23_final.stac-item
2018-11-30 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2018-11-30_final.stac-item
2018-12-04 11:24:27	ga_s2bm_ard_3-2-1_51JZM_2018-12-04_final.stac-item
2018-12-07 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2018-12-07_final.stac-item
2018-12-14 11:24:59	ga_s2bm_ard_3-2-1_51JYK_2018-12-14_final.stac-item
2018-12-16 12:04:12	ga_s2bm_ard_3-2-1_49KGQ_2018-12-16_final.stac-item
2018-12-19 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2018-12-19_final.stac-item
2018-12-20 11:43:46	ga_s2bm_ard_3-2-1_50KQA_2018-12-20_final.stac-item
2018-12-23 11:54:29	ga_s2bm_ard_3-2-1_50JPT_2018-12-23_final.stac-item
2018-12-24 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2018-12-24_final.stac-item
2018-12-26 12:03:40	ga_s2bm_ard_3-2-1_50KNA_2018-12-26_final.stac-item
2019-01-16 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2019-01-16_final.stac-item
2019-01-19 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2019-01-19_final.stac-item
2019-01-22 11:56:25	ga_s2bm_ard_3-2-1_50JLL_2019-01-22_final.stac-item
2019-01-23 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2019-01-23_final.stac-item
2019-01-29 11:43:47	ga_s2bm_ard_3-2-1_51KTR_2019-01-29_final.stac-item
2019-01-29 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2019-01-29_final.stac-item
2019-02-01 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2019-02-01_final.stac-item
2019-02-25 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2019-02-25_final.stac-item
2019-04-13 11:25:04	ga_s2bm_ard_3-2-1_51JWL_2019-04-13_final.stac-item
2019-05-23 11:26:56	ga_s2bm_ard_3-2-1_51HUD_2019-05-23_final.stac-item
2019-11-05 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-11-05_final.stac-item
2019-11-25 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2019-11-25_final.stac-item
2019-12-25 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2019-12-25_final.stac-item
2020-01-21 11:33:56	ga_s2bm_ard_3-2-1_51KUQ_2020-01-21_final.stac-item
2020-01-25 11:15:03	ga_s2bm_ard_3-2-1_51JYK_2020-01-25_final.stac-item
2020-01-31 11:34:10	ga_s2bm_ard_3-2-1_51KUP_2020-01-31_final.stac-item
2020-02-13 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2020-02-13_final.stac-item
2020-02-23 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2020-02-23_final.stac-item
2020-02-26 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2020-02-26_final
2020-04-29 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2020-04-29_final.stac-item
2020-05-26 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-05-26_final.stac-item
2020-07-02 11:43:49	ga_s2bm_ard_3-2-1_50KRA_2020-07-02_final.stac-item
2020-07-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2020-07-15_final.stac-item
2020-10-17 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2020-10-17_final.stac-item
2020-10-20 11:44:20	ga_s2bm_ard_3-2-1_50KRU_2020-10-20_final.stac-item
2020-10-24 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-10-24_final.stac-item
2020-10-27 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-10-27_final.stac-item
2020-10-27 11:34:39	ga_s2bm_ard_3-2-1_51JTN_2020-10-27_final.stac-item
2020-11-09 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2020-11-09_final.stac-item
2020-11-23 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2020-11-23_final.stac-item
2020-12-18 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2020-12-18_final.stac-item
2020-12-19 11:43:47	ga_s2bm_ard_3-2-1_50KQA_2020-12-19_final.stac-item
2021-01-22 11:24:29	ga_s2bm_ard_3-2-1_51JWN_2021-01-22_final.stac-item
2021-01-22 11:25:06	ga_s2bm_ard_3-2-1_51JYK_2021-01-22_final.stac-item
2021-02-04 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-02-04_final.stac-item
2021-02-06 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2021-02-06_final.stac-item
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_50KNA_2021-03-05_final.stac-item
2021-03-12 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2021-03-12_final.stac-item
2021-05-21 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2021-05-21_final
2021-06-30 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-06-30_final.stac-item
2021-08-26 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2021-08-26_final.stac-item
2021-10-22 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-10-22_final.stac-item
2021-11-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-11-14_final.stac-item
2021-11-14 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2021-11-14_final.stac-item
2021-11-24 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-11-24_final.stac-item
2021-11-24 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2021-11-24_final.stac-item
2021-11-24 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2021-11-24_final.stac-item
2021-12-07 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2021-12-07_final.stac-item
2021-12-21 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2021-12-21_final.stac-item
2021-12-24 11:44:22	ga_s2bm_ard_3-2-1_51JUN_2021-12-24_final.stac-item
2021-12-28 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2021-12-28_final.stac-item
2022-02-12 11:42:11	ga_s2bm_ard_3-2-1_51KUB_2022-02-12_final
2022-02-12 11:43:16	ga_s2bm_ard_3-2-1_50KQC_2022-02-12_final.stac-item
2022-02-19 11:34:11	ga_s2bm_ard_3-2-1_51KUP_2022-02-19_final.stac-item
2022-02-22 11:44:08	ga_s2bm_ard_3-2-1_51KUP_2022-02-22_final.stac-item
2022-05-03 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2022-05-03_final.stac-item
2022-06-06 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2022-06-06_final.stac-item
2022-10-04 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-10-04_final.stac-item
2022-10-20 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-10-20_final.stac-item
2022-11-19 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2022-11-19_final.stac-item
2022-11-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-29_final.stac-item
2022-12-23 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2022-12-23_final.stac-item
2022-12-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-12-29_final.stac-item
2023-01-11 11:54:15	ga_s2bm_ard_3-2-1_50KPU_2023-01-11_final.stac-item
2023-02-04 11:37:14	ga_s2bm_ard_3-2-1_50HQG_2023-02-04_final
2023-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-17_final
2023-02-24 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2023-02-24_final
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2023-02-27_final
2023-02-27 11:43:48	ga_s2bm_ard_3-2-1_50KRA_2023-02-27_final
2023-03-09 11:44:27	ga_s2bm_ard_3-2-1_50KPU_2023-03-09_final
2023-03-09 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2023-03-09_final
2023-04-14 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2023-04-14_final
2023-12-11 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-12-11_final
2024-01-02 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-01-02_final
2024-01-16 11:57:04	ga_s2bm_ard_3-2-1_50HMH_2024-01-16_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years