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
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_54JTS_2017-09-25_final.stac-item
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_51KUR_2017-10-26_final.stac-item
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYN_2017-11-06_final.stac-item
2017-11-09 09:42:14	ga_s2bm_ard_3-2-1_55HDV_2017-11-09_final.stac-item
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KWQ_2017-11-29_final.stac-item
2017-12-14 10:26:56	ga_s2bm_ard_3-2-1_54LXP_2017-12-14_final.stac-item
2018-01-24 10:06:59	ga_s2bm_ard_3-2-1_54HXE_2018-01-24_final.stac-item
2018-03-19 09:41:02	ga_s2bm_ard_3-2-1_55HED_2018-03-19_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KVS_2018-04-04_final.stac-item
2018-06-12 10:27:06	ga_s2bm_ard_3-2-1_54LXP_2018-06-12_final.stac-item
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JYG_2018-06-24_final.stac-item
2018-07-23 10:04:00	ga_s2bm_ard_3-2-1_54HYJ_2018-07-23_final.stac-item
2018-07-26 10:07:02	ga_s2bm_ard_3-2-1_54LZK_2018-07-26_final.stac-item
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50JNM_2018-08-05_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KVU_2018-08-29_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUS_2018-10-31_final.stac-item
2018-11-19 10:31:57	ga_s2bm_ard_3-2-1_54KUF_2018-11-19_final.stac-item
2018-11-24 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2018-11-24_final.stac-item
2018-12-01 11:14:04	ga_s2bm_ard_3-2-1_51KZP_2018-12-01_final.stac-item
2019-01-03 09:46:18	ga_s2bm_ard_3-2-1_55HDC_2019-01-03_final.stac-item
2019-01-06 09:57:49	ga_s2bm_ard_3-2-1_54HYB_2019-01-06_final.stac-item
2019-01-08 10:34:12	ga_s2bm_ard_3-2-1_53JNN_2019-01-08_final.stac-item
2019-01-15 10:19:58	ga_s2bm_ard_3-2-1_54LXP_2019-01-15_final.stac-item
2019-02-22 11:22:18	ga_s2bm_ard_3-2-1_52KCF_2019-02-22_final.stac-item
2019-04-16 09:56:07	ga_s2bm_ard_3-2-1_55HDD_2019-04-16_final.stac-item
2019-04-25 10:21:07	ga_s2bm_ard_3-2-1_54LWK_2019-04-25_final.stac-item
2019-05-20 11:14:11	ga_s2bm_ard_3-2-1_52KDU_2019-05-20_final.stac-item
2019-06-12 11:24:26	ga_s2bm_ard_3-2-1_51JZN_2019-06-12_final.stac-item
2019-07-13 10:56:03	ga_s2bm_ard_3-2-1_53JKF_2019-07-13_final.stac-item
2019-08-09 10:40:47	ga_s2bm_ard_3-2-1_53LPG_2019-08-09_final.stac-item
2019-09-02 10:22:45	ga_s2bm_ard_3-2-1_54KWC_2019-09-02_final.stac-item
2019-10-03 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-10-03_final.stac-item
2019-10-10 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2019-10-10_final.stac-item
2019-12-19 11:23:59	ga_s2bm_ard_3-2-1_52KBU_2019-12-19_final.stac-item
2020-03-21 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2020-03-21_final.stac-item
2020-05-17 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2020-05-17_final.stac-item
2020-05-23 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2020-05-23_final.stac-item
2020-06-15 10:17:28	ga_s2bm_ard_3-2-1_54HVD_2020-06-15_final.stac-item
2020-08-05 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2020-08-05_final.stac-item
2020-10-04 09:46:20	ga_s2bm_ard_3-2-1_55HEC_2020-10-04_final.stac-item
2020-11-12 10:11:01	ga_s2bm_ard_3-2-1_54LYK_2020-11-12_final.stac-item
2020-11-29 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2020-11-29_final.stac-item
2020-12-06 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2020-12-06_final.stac-item
2021-01-09 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2021-01-09_final.stac-item
2021-01-23 10:51:22	ga_s2bm_ard_3-2-1_53LND_2021-01-23_final.stac-item
2021-02-22 10:52:28	ga_s2bm_ard_3-2-1_53KKV_2021-02-22_final.stac-item
2021-03-18 10:35:00	ga_s2bm_ard_3-2-1_53JQJ_2021-03-18_final.stac-item
2021-03-25 10:21:14	ga_s2bm_ard_3-2-1_54LWJ_2021-03-25_final.stac-item
2021-05-11 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2021-05-11_final
2021-05-25 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2021-05-25_final.stac-item
2021-06-08 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-06-08_final.stac-item
2021-06-12 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2021-06-12_final.stac-item
2021-06-21 11:25:04	ga_s2bm_ard_3-2-1_51JVL_2021-06-21_final.stac-item
2021-08-07 11:12:55	ga_s2bm_ard_3-2-1_52KFC_2021-08-07_final.stac-item
2021-08-10 11:24:05	ga_s2bm_ard_3-2-1_52KBU_2021-08-10_final.stac-item
2021-08-12 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2021-08-12_final.stac-item
2021-10-09 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2021-10-09_final.stac-item
2021-11-01 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-11-01_final.stac-item
2021-11-07 11:55:59	ga_s2bm_ard_3-2-1_50JMM_2021-11-07_final.stac-item
2021-12-08 09:47:53	ga_s2bm_ard_3-2-1_55GER_2021-12-08_final.stac-item
2022-02-15 10:17:05	ga_s2bm_ard_3-2-1_54HVE_2022-02-15_final.stac-item
2022-02-26 11:26:01	ga_s2bm_ard_3-2-1_51JUG_2022-02-26_final.stac-item
2022-03-01 11:32:05	ga_s2bm_ard_3-2-1_51LWC_2022-03-01_final.stac-item
2022-03-03 10:36:29	ga_s2bm_ard_3-2-1_53HPC_2022-03-03_final.stac-item
2022-03-12 11:03:29	ga_s2bm_ard_3-2-1_52KFA_2022-03-12_final.stac-item
2022-03-17 10:10:53	ga_s2bm_ard_3-2-1_54LZK_2022-03-17_final.stac-item
2022-03-31 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2022-03-31_final.stac-item
2022-04-21 09:28:26	ga_s2bm_ard_3-2-1_55GFP_2022-04-20_final.stac-item
2022-06-16 11:21:36	ga_s2bm_ard_3-2-1_52LDJ_2022-06-16_final.stac-item
2022-06-29 09:56:57	ga_s2bm_ard_3-2-1_55HBA_2022-06-29_final.stac-item
2022-08-30 10:34:44	ga_s2bm_ard_3-2-1_54JTQ_2022-08-30_final.stac-item
2022-09-16 10:20:15	ga_s2bm_ard_3-2-1_54LXN_2022-09-16_final.stac-item
2022-10-30 10:06:44	ga_s2bm_ard_3-2-1_55HBA_2022-10-30_final.stac-item
2022-11-24 10:54:10	ga_s2bm_ard_3-2-1_53JLN_2022-11-24_final.stac-item
2022-12-02 10:13:02	ga_s2bm_ard_3-2-1_54KWB_2022-12-02_final.stac-item
2022-12-22 10:11:08	ga_s2bm_ard_3-2-1_54LZJ_2022-12-22_final.stac-item
2022-12-24 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2022-12-24_final.stac-item
2023-01-02 09:48:18	ga_s2bm_ard_3-2-1_55GCQ_2023-01-02_final.stac-item
2023-01-09 11:12:51	ga_s2bm_ard_3-2-1_52KFC_2023-01-09_final.stac-item
2023-01-15 09:57:47	ga_s2bm_ard_3-2-1_54HYB_2023-01-15_final.stac-item
2023-02-09 10:41:44	ga_s2bm_ard_3-2-1_53KRB_2023-02-09_final.stac-item
2023-02-21 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2023-02-21_final
2023-05-24 10:24:27	ga_s2bm_ard_3-2-1_54JTS_2023-05-24_final
2023-08-02 10:25:48	ga_s2bm_ard_3-2-1_54JUL_2023-08-02_final
2023-08-30 11:22:42	ga_s2bm_ard_3-2-1_51KZV_2023-08-30_final
2023-10-06 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2023-10-06_final
2023-10-12 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-12_final
2023-10-15 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2023-10-15_final
2023-11-08 11:25:15	ga_s2bm_ard_3-2-1_51JWK_2023-11-08_final
2023-11-25 09:38:36	ga_s2bm_ard_3-2-1_55GCP_2023-11-25_final
2023-11-30 10:20:36	ga_s2bm_ard_3-2-1_54LYL_2023-11-30_final
2024-02-04 10:41:45	ga_s2bm_ard_3-2-1_53KRB_2024-02-04_final
2024-03-14 11:13:05	ga_s2bm_ard_3-2-1_52KCC_2024-03-14_final
2024-03-29 10:22:48	ga_s2bm_ard_3-2-1_54KUC_2024-03-29_final
2024-04-02 10:07:39	ga_s2bm_ard_3-2-1_54HWC_2024-04-02_final
2024-04-18 10:26:17	ga_s2bm_ard_3-2-1_54HTJ_2024-04-18_final
2024-04-23 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2024-04-23_final
2024-05-18 10:20:59	ga_s2bm_ard_3-2-1_54LZJ_2024-05-18_final
2024-05-19 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2024-05-19_final
2024-06-05 11:24:28	ga_s2bm_ard_3-2-1_51JXN_2024-06-05_nrt

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

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