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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVP_2017-07-05_final.stac-item
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JNL_2017-07-31_final.stac-item
2017-09-25 10:31:57	ga_s2bm_ard_3-2-1_53JPL_2017-09-25_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVV_2017-11-02_final.stac-item
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_52KHE_2018-01-29_final.stac-item
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JGT_2018-02-01_final.stac-item
2018-06-13 11:37:58	ga_s2bm_ard_3-2-1_51LWC_2018-06-13_final.stac-item
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KXP_2018-06-20_final.stac-item
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JPL_2018-07-25_final.stac-item
2018-08-18 10:22:42	ga_s2bm_ard_3-2-1_53HQB_2018-08-18_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KYT_2018-08-29_final.stac-item
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KYA_2018-10-25_final.stac-item
2018-10-29 10:57:13	ga_s2bm_ard_3-2-1_52LHM_2018-10-29_final.stac-item
2018-12-17 11:36:08	ga_s2bm_ard_3-2-1_51JUF_2018-12-17_final.stac-item
2019-01-20 11:10:36	ga_s2bm_ard_3-2-1_52LGM_2019-01-20_final.stac-item
2019-01-26 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2019-01-26_final.stac-item
2019-02-28 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2019-02-28_final.stac-item
2019-04-15 10:20:51	ga_s2bm_ard_3-2-1_54LWL_2019-04-15_final.stac-item
2019-04-18 10:34:38	ga_s2bm_ard_3-2-1_53JQL_2019-04-18_final.stac-item
2019-05-06 11:37:05	ga_s2bm_ard_3-2-1_51HUC_2019-05-06_final.stac-item
2019-05-28 10:36:44	ga_s2bm_ard_3-2-1_53HNC_2019-05-28_final.stac-item
2019-06-25 09:57:54	ga_s2bm_ard_3-2-1_54HWC_2019-06-25_final.stac-item
2019-07-18 11:43:23	ga_s2bm_ard_3-2-1_51KUT_2019-07-18_final.stac-item
2019-09-06 11:46:21	ga_s2bm_ard_3-2-1_50JPL_2019-09-06_final.stac-item
2019-09-16 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2019-09-16_final.stac-item
2020-01-03 10:36:45	ga_s2bm_ard_3-2-1_53HNB_2020-01-03_final.stac-item
2020-01-04 11:40:52	ga_s2bm_ard_3-2-1_51LWG_2020-01-04_final
2020-01-24 10:07:23	ga_s2bm_ard_3-2-1_54HVD_2020-01-24_final.stac-item
2020-02-07 11:24:26	ga_s2bm_ard_3-2-1_51JZM_2020-02-07_final.stac-item
2020-02-10 09:57:45	ga_s2bm_ard_3-2-1_54HYB_2020-02-10_final.stac-item
2020-02-17 11:25:53	ga_s2bm_ard_3-2-1_51JWG_2020-02-17_final.stac-item
2020-03-03 10:31:58	ga_s2bm_ard_3-2-1_54KUF_2020-03-03_final.stac-item
2020-03-04 10:05:06	ga_s2bm_ard_3-2-1_54JYN_2020-03-04_final.stac-item
2020-03-04 10:07:13	ga_s2bm_ard_3-2-1_54HVE_2020-03-04_final.stac-item
2020-03-11 09:56:51	ga_s2bm_ard_3-2-1_54HYF_2020-03-11_final.stac-item
2020-07-04 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2020-07-04_final.stac-item
2020-07-14 10:41:10	ga_s2bm_ard_3-2-1_53LPE_2020-07-14_final.stac-item
2020-07-15 10:16:22	ga_s2bm_ard_3-2-1_54HTJ_2020-07-15_final.stac-item
2020-08-31 10:06:31	ga_s2bm_ard_3-2-1_54HYG_2020-08-31_final.stac-item
2020-09-06 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2020-09-06_final.stac-item
2020-09-07 09:57:49	ga_s2bm_ard_3-2-1_54HWC_2020-09-07_final.stac-item
2020-11-14 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2020-11-14_final.stac-item
2021-01-04 10:21:36	ga_s2bm_ard_3-2-1_54KYG_2021-01-04_final.stac-item
2021-01-08 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2021-01-08_final.stac-item
2021-01-12 11:23:24	ga_s2bm_ard_3-2-1_51KYS_2021-01-12_final.stac-item
2021-02-19 10:44:54	ga_s2bm_ard_3-2-1_53JLK_2021-02-19_final.stac-item
2021-03-15 10:24:30	ga_s2bm_ard_3-2-1_54JUR_2021-03-15_final.stac-item
2021-04-05 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2021-04-05_final.stac-item
2021-05-01 10:16:02	ga_s2bm_ard_3-2-1_54HUK_2021-05-01_final.stac-item
2021-05-13 10:55:33	ga_s2bm_ard_3-2-1_52JEN_2021-05-13_final.stac-item
2021-06-03 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2021-06-03_final.stac-item
2021-06-08 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2021-06-08_final.stac-item
2021-07-16 10:34:59	ga_s2bm_ard_3-2-1_54JTP_2021-07-16_final.stac-item
2021-07-17 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2021-07-17_final.stac-item
2021-10-09 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-10-09_final
2021-11-18 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2021-11-18_final.stac-item
2021-12-05 11:11:13	ga_s2bm_ard_3-2-1_52LGK_2021-12-05_final.stac-item
2021-12-15 11:12:00	ga_s2bm_ard_3-2-1_52KDG_2021-12-15_final.stac-item
2022-01-29 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2022-01-29_final.stac-item
2022-03-20 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2022-03-20_final.stac-item
2022-05-13 10:06:59	ga_s2bm_ard_3-2-1_54HVF_2022-05-13_final.stac-item
2022-07-16 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2022-07-16_final.stac-item
2022-08-01 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2022-08-01_final.stac-item
2022-09-13 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2022-09-13_final.stac-item
2022-10-05 10:52:03	ga_s2bm_ard_3-2-1_53KNA_2022-10-05_final.stac-item
2022-10-06 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2022-10-06_final.stac-item
2022-10-18 11:04:17	ga_s2bm_ard_3-2-1_52JET_2022-10-18_final.stac-item
2022-10-30 10:05:33	ga_s2bm_ard_3-2-1_54JXL_2022-10-30_final.stac-item
2022-11-24 10:54:21	ga_s2bm_ard_3-2-1_52JFT_2022-11-24_final.stac-item
2022-12-21 10:42:17	ga_s2bm_ard_3-2-1_53KQV_2022-12-21_final.stac-item
2022-12-28 10:33:11	ga_s2bm_ard_3-2-1_53KPS_2022-12-28_final.stac-item
2023-01-04 10:21:45	ga_s2bm_ard_3-2-1_54KVG_2023-01-04_final.stac-item
2023-01-17 10:33:35	ga_s2bm_ard_3-2-1_53KPQ_2023-01-17_final.stac-item
2023-02-03 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-02-03_final.stac-item
2023-04-04 10:21:47	ga_s2bm_ard_3-2-1_54KWG_2023-04-04_final
2023-04-04 10:25:14	ga_s2bm_ard_3-2-1_54JVN_2023-04-04_final
2023-04-09 11:11:30	ga_s2bm_ard_3-2-1_52LEJ_2023-04-09_final
2023-06-13 10:24:50	ga_s2bm_ard_3-2-1_54JUQ_2023-06-13_final
2023-06-23 10:25:06	ga_s2bm_ard_3-2-1_54JTP_2023-06-23_final
2023-07-14 09:57:56	ga_s2bm_ard_3-2-1_54HYB_2023-07-14_final
2023-07-18 11:16:40	ga_s2bm_ard_3-2-1_52HBJ_2023-07-18_nrt
2023-07-24 11:35:51	ga_s2bm_ard_3-2-1_51JUH_2023-07-24_final
2023-08-12 10:24:24	ga_s2bm_ard_3-2-1_53JRM_2023-08-12_final
2023-08-13 11:34:11	ga_s2bm_ard_3-2-1_51KXP_2023-08-13_final
2023-08-29 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-08-29_final
2023-09-17 10:46:00	ga_s2bm_ard_3-2-1_53JKF_2023-09-17_final
2023-10-16 11:16:05	ga_s2bm_ard_3-2-1_52JCL_2023-10-16_final
2023-10-27 10:45:45	ga_s2bm_ard_3-2-1_53JKG_2023-10-27_final
2023-10-28 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2023-10-28_final
2023-11-04 11:45:59	ga_s2bm_ard_3-2-1_51JTG_2023-11-04_final
2023-11-14 11:41:56	ga_s2bm_ard_3-2-1_51LWC_2023-11-14_final
2023-11-30 10:26:48	ga_s2bm_ard_3-2-1_54HUF_2023-11-30_final
2023-12-01 09:55:54	ga_s2bm_ard_3-2-1_54HYK_2023-12-01_final
2023-12-12 11:00:46	ga_s2bm_ard_3-2-1_52LGM_2023-12-12_final
2024-02-04 10:41:45	ga_s2bm_ard_3-2-1_53KRB_2024-02-04_final
2024-02-18 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2024-02-18_final
2024-03-03 11:44:42	ga_s2bm_ard_3-2-1_50JPT_2024-03-03_final
2024-03-04 11:14:42	ga_s2bm_ard_3-2-1_52JDR_2024-03-04_final
2024-03-13 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2024-03-13_final
2024-03-17 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2024-03-17_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

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