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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51HTD_2017-08-14_final.stac-item
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_50JQN_2017-10-13_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KLC_2017-11-01_final.stac-item
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KKU_2018-05-10_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_50KNA_2018-06-09_final.stac-item
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HPH_2018-08-09_final.stac-item
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51KTU_2018-08-12_final.stac-item
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51JUF_2018-08-26_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KTU_2018-09-11_final.stac-item
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHR_2018-09-20_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JML_2018-09-24_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JMP_2018-09-24_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_49KHR_2018-09-30_final.stac-item
2018-09-30 12:13:16	ga_s2bm_ard_3-2-1_50KKV_2018-09-30_final.stac-item
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JKM_2018-10-07_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51HUE_2018-10-08_final.stac-item
2018-10-10 12:13:17	ga_s2bm_ard_3-2-1_50KKA_2018-10-10_final.stac-item
2018-10-14 11:52:46	ga_s2bm_ard_3-2-1_50HLJ_2018-10-14_final.stac-item
2018-11-06 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2018-11-06_final.stac-item
2018-11-07 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2018-11-07_final.stac-item
2018-11-23 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2018-11-23_final.stac-item
2018-12-07 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2018-12-07_final.stac-item
2018-12-09 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2018-12-09_final.stac-item
2018-12-14 11:24:16	ga_s2bm_ard_3-2-1_51JYN_2018-12-14_final.stac-item
2019-01-02 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2019-01-02_final.stac-item
2019-01-08 12:13:38	ga_s2bm_ard_3-2-1_50KKB_2019-01-08_final.stac-item
2019-04-12 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2019-04-12_final.stac-item
2019-04-15 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2019-04-15_final.stac-item
2019-08-11 11:26:29	ga_s2bm_ard_3-2-1_51HXE_2019-08-11_final.stac-item
2019-09-23 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2019-09-23_final.stac-item
2019-11-01 12:04:19	ga_s2bm_ard_3-2-1_49KGQ_2019-11-01_final.stac-item
2019-11-18 11:53:29	ga_s2bm_ard_3-2-1_50KMC_2019-11-18_final.stac-item
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-21_final.stac-item
2020-01-04 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2020-01-04_final.stac-item
2020-01-28 11:25:17	ga_s2bm_ard_3-2-1_51JXJ_2020-01-28_final.stac-item
2020-02-19 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2020-02-19_final.stac-item
2020-06-29 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-06-29_final.stac-item
2020-07-22 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-07-22_final.stac-item
2020-07-25 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2020-07-25_final
2020-09-01 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2020-09-01_final.stac-item
2020-09-07 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2020-09-07_final.stac-item
2020-09-30 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-09-30_final.stac-item
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KNA_2020-11-15_final.stac-item
2020-11-20 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2020-11-20_final.stac-item
2020-11-29 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2020-11-29_final.stac-item
2020-12-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2020-12-29_final.stac-item
2021-01-11 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2021-01-11_final.stac-item
2021-01-25 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2021-01-25_final.stac-item
2021-03-02 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2021-03-02_final.stac-item
2021-06-01 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-06-01_final.stac-item
2021-08-10 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2021-08-10_final.stac-item
2021-08-12 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-08-12_final.stac-item
2021-09-08 11:56:19	ga_s2bm_ard_3-2-1_50JML_2021-09-08_final.stac-item
2021-10-12 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2021-10-12_final.stac-item
2021-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2021-10-22_final.stac-item
2021-11-20 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-11-20_final.stac-item
2021-12-28 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2021-12-28_final.stac-item
2022-01-19 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2022-01-19_final.stac-item
2022-01-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-01-26_final.stac-item
2022-02-08 12:05:46	ga_s2bm_ard_3-2-1_50JLN_2022-02-08_final.stac-item
2022-02-15 11:56:24	ga_s2bm_ard_3-2-1_50HNK_2022-02-15_final.stac-item
2022-02-18 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-18_final.stac-item
2022-03-11 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2022-03-11_final.stac-item
2022-03-14 11:46:35	ga_s2bm_ard_3-2-1_50HNK_2022-03-14_final.stac-item
2022-03-24 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-24_final.stac-item
2022-05-30 11:36:43	ga_s2bm_ard_3-2-1_51HUD_2022-05-30_final.stac-item
2022-06-02 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-06-02_final.stac-item
2022-06-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2022-06-05_final.stac-item
2022-06-11 12:14:29	ga_s2bm_ard_3-2-1_49KGP_2022-06-11_final.stac-item
2022-07-12 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-12_final.stac-item
2022-11-06 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2022-11-06_final.stac-item
2023-01-02 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2023-01-02_final.stac-item
2023-01-08 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2023-01-08_final.stac-item
2023-01-15 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2023-01-15_final.stac-item
2023-01-25 11:35:17	ga_s2bm_ard_3-2-1_51JWJ_2023-01-25_final.stac-item
2023-01-28 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-28_final.stac-item
2023-02-27 11:46:38	ga_s2bm_ard_3-2-1_50HNK_2023-02-27_final
2023-04-24 12:04:35	ga_s2bm_ard_3-2-1_49JHN_2023-04-24_final
2023-04-25 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2023-04-25_final
2023-05-05 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2023-05-05_final
2023-06-10 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-06-10_final
2023-06-21 11:25:14	ga_s2bm_ard_3-2-1_51JXK_2023-06-21_final
2023-06-23 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-23_final
2023-07-14 11:35:53	ga_s2bm_ard_3-2-1_51JTH_2023-07-14_final
2023-07-17 11:47:12	ga_s2bm_ard_3-2-1_50HNH_2023-07-17_final
2023-08-19 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-08-19_final
2023-08-30 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2023-08-30_final
2023-09-09 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2023-09-09_final
2023-10-05 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2023-10-05_final
2023-10-15 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-10-15_final
2023-12-18 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2023-12-18_final
2023-12-31 11:34:26	ga_s2bm_ard_3-2-1_51JWN_2023-12-31_final
2024-01-03 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2024-01-03_final
2024-01-04 11:16:26	ga_s2bm_ard_3-2-1_51HXE_2024-01-04_final
2024-01-10 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2024-01-10_final
2024-01-13 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2024-01-13_final
2024-01-24 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2024-01-24_final
2024-02-29 11:36:25	ga_s2bm_ard_3-2-1_50JPL_2024-02-29_final
2024-05-15 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-05-15_nrt
2024-05-18 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2024-05-18_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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