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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HLH_2017-10-06_final.stac-item
2017-11-21 12:02:37	ga_s2bm_ard_3-2-1_50KKB_2017-11-21_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-11-25_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-25_final.stac-item
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50KQV_2017-12-28_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51JUF_2018-02-07_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50JRS_2018-02-20_final.stac-item
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-03-14_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_49KGP_2018-08-21_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51HUE_2018-08-29_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JXN_2018-10-08_final.stac-item
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPH_2018-10-11_final.stac-item
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXN_2018-10-25_final.stac-item
2018-11-16 12:03:56	ga_s2bm_ard_3-2-1_49KHR_2018-11-16_final.stac-item
2018-11-20 11:43:12	ga_s2bm_ard_3-2-1_50KQC_2018-11-20_final.stac-item
2018-12-09 12:15:04	ga_s2bm_ard_3-2-1_49JGL_2018-12-09_final.stac-item
2019-01-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2019-01-06_final.stac-item
2019-01-08 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2019-01-08_final.stac-item
2019-01-12 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2019-01-12_final.stac-item
2019-02-01 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2019-02-01_final.stac-item
2019-04-13 11:24:45	ga_s2bm_ard_3-2-1_51JXM_2019-04-13_final.stac-item
2019-04-16 11:36:52	ga_s2bm_ard_3-2-1_51HTD_2019-04-16_final.stac-item
2019-04-16 11:37:06	ga_s2bm_ard_3-2-1_51HTC_2019-04-16_final.stac-item
2019-04-19 11:45:27	ga_s2bm_ard_3-2-1_50JPQ_2019-04-19_final.stac-item
2019-05-16 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-16_final.stac-item
2019-06-08 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-08_final.stac-item
2019-06-15 11:36:39	ga_s2bm_ard_3-2-1_51HTE_2019-06-15_final.stac-item
2019-08-17 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2019-08-17_final.stac-item
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final.stac-item
2019-11-25 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2019-11-25_final.stac-item
2019-12-25 11:44:55	ga_s2bm_ard_3-2-1_51JTL_2019-12-25_final.stac-item
2020-01-21 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2020-01-21_final.stac-item
2020-01-24 11:43:06	ga_s2bm_ard_3-2-1_51KTT_2020-01-24_final.stac-item
2020-01-24 11:43:08	ga_s2bm_ard_3-2-1_50KQC_2020-01-24_final.stac-item
2020-02-07 11:24:31	ga_s2bm_ard_3-2-1_51JYM_2020-02-07_final.stac-item
2020-03-20 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-20_final.stac-item
2020-05-07 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2020-05-07_final.stac-item
2020-05-26 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2020-05-26_final.stac-item
2020-06-29 11:36:16	ga_s2bm_ard_3-2-1_51JUF_2020-06-29_final.stac-item
2020-10-11 11:14:45	ga_s2bm_ard_3-2-1_51JYM_2020-10-11_final.stac-item
2020-10-13 11:54:02	ga_s2bm_ard_3-2-1_50KPV_2020-10-13_final.stac-item
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2020-11-09_final.stac-item
2020-12-19 11:47:10	ga_s2bm_ard_3-2-1_50HLH_2020-12-19_final.stac-item
2020-12-28 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-12-28_final.stac-item
2020-12-29 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2020-12-29_final.stac-item
2021-01-31 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2021-01-31_final.stac-item
2021-02-03 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2021-02-03_final.stac-item
2021-02-20 11:53:15	ga_s2bm_ard_3-2-1_50KQC_2021-02-20_final.stac-item
2021-03-02 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-03-02_final.stac-item
2021-03-06 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-03-06_final.stac-item
2021-03-12 11:53:42	ga_s2bm_ard_3-2-1_50KMB_2021-03-12_final.stac-item
2021-03-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-16_final.stac-item
2021-03-16 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-16_final
2021-04-04 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-04-04_final.stac-item
2021-05-01 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2021-05-01_final
2021-05-08 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-05-08_final.stac-item
2021-05-22 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-05-22_final.stac-item
2021-05-31 11:56:05	ga_s2bm_ard_3-2-1_50JNM_2021-05-31_final.stac-item
2021-06-03 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-06-03_final.stac-item
2021-08-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-08-19_final.stac-item
2021-09-15 11:46:44	ga_s2bm_ard_3-2-1_50HPJ_2021-09-15_final.stac-item
2021-10-28 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-28_final.stac-item
2021-11-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-11-14_final.stac-item
2021-11-17 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2021-11-17_final.stac-item
2021-11-23 12:14:42	ga_s2bm_ard_3-2-1_49JFN_2021-11-23_final.stac-item
2021-12-03 12:14:55	ga_s2bm_ard_3-2-1_49JFM_2021-12-03_final.stac-item
2021-12-04 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2021-12-04_final.stac-item
2021-12-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2021-12-04_final.stac-item
2021-12-20 12:05:35	ga_s2bm_ard_3-2-1_50JKP_2021-12-20_final.stac-item
2021-12-30 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-12-30_final.stac-item
2022-03-01 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2022-03-01_final.stac-item
2022-06-01 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-06-01_final.stac-item
2022-08-10 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2022-08-10_final.stac-item
2022-08-18 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2022-08-18_final
2022-08-24 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-08-24_final.stac-item
2022-09-13 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2022-09-13_final.stac-item
2022-11-03 11:26:41	ga_s2bm_ard_3-2-1_51HVD_2022-11-03_final.stac-item
2022-11-15 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-11-15_final.stac-item
2022-11-16 11:35:19	ga_s2bm_ard_3-2-1_51JWJ_2022-11-16_final.stac-item
2023-01-08 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2023-01-08_final.stac-item
2023-01-29 11:16:56	ga_s2bm_ard_3-2-1_51HWC_2023-01-29_final
2023-01-31 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2023-01-31_final.stac-item
2023-03-09 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-03-09_final
2023-05-18 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-05-18_final
2023-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-06-04_final
2023-06-10 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-06-10_final
2023-06-24 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-06-24_final
2023-07-14 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-07-14_final
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2023-08-16_final
2023-10-22 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-22_final
2023-11-04 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-11-04_final
2023-11-07 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-11-07_final
2023-12-07 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-12-07_final
2023-12-27 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2023-12-27_final
2023-12-27 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2023-12-27_final
2024-01-16 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2024-01-16_final
2024-01-16 11:57:21	ga_s2bm_ard_3-2-1_50HLG_2024-01-16_final
2024-02-15 11:52:35	ga_s2bm_ard_3-2-1_50KQF_2024-02-15_final
2024-03-10 11:37:02	ga_s2bm_ard_3-2-1_50HPH_2024-03-10_final
2024-03-19 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2024-03-19_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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