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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KUS_2017-07-18_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVU_2017-11-02_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVA_2017-12-02_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUU_2018-01-04_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KUS_2018-02-03_final.stac-item
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUS_2018-02-13_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUU_2018-03-15_final.stac-item
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVU_2018-03-22_final.stac-item
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KWR_2018-05-11_final.stac-item
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-05-14_final.stac-item
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KWQ_2018-06-10_final.stac-item
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JWJ_2018-08-29_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KVT_2018-09-21_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVT_2018-09-28_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVT_2018-10-31_final.stac-item
2018-11-27 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2018-11-27_final.stac-item
2018-12-10 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2018-12-10_final.stac-item
2018-12-30 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2018-12-30_final.stac-item
2019-01-09 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2019-01-09_final.stac-item
2019-01-16 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2019-01-16_final.stac-item
2019-01-19 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2019-01-19_final.stac-item
2019-02-17 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2019-02-17_final.stac-item
2019-03-16 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2019-03-16_final.stac-item
2019-06-18 11:42:35	ga_s2bm_ard_3-2-1_51KVA_2019-06-18_final.stac-item
2019-07-11 11:53:30	ga_s2bm_ard_3-2-1_50KPC_2019-07-11_final.stac-item
2019-09-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-09-12_final.stac-item
2019-10-05 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2019-10-05_final.stac-item
2019-11-15 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2019-11-15_final.stac-item
2019-11-25 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2019-11-25_final.stac-item
2019-12-05 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2019-12-05_final.stac-item
2019-12-25 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2019-12-25_final.stac-item
2020-01-01 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2020-01-01_final.stac-item
2020-01-01 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2020-01-01_final.stac-item
2020-02-03 11:42:53	ga_s2bm_ard_3-2-1_51KUU_2020-02-03_final.stac-item
2020-02-03 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2020-02-03_final.stac-item
2020-03-20 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2020-03-20_final.stac-item
2020-06-12 11:46:45	ga_s2bm_ard_3-2-1_50HQJ_2020-06-12_final.stac-item
2020-06-19 11:37:03	ga_s2bm_ard_3-2-1_51HTC_2020-06-19_final.stac-item
2020-07-19 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2020-07-19_final.stac-item
2020-07-25 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2020-07-25_final.stac-item
2020-10-03 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2020-10-03_final
2020-10-07 11:33:20	ga_s2bm_ard_3-2-1_51KVT_2020-10-07_final.stac-item
2020-10-14 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2020-10-14_final.stac-item
2021-01-29 11:16:12	ga_s2bm_ard_3-2-1_51JXF_2021-01-29_final.stac-item
2021-02-04 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2021-02-04_final.stac-item
2021-02-23 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2021-02-23_final.stac-item
2021-02-27 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-02-27_final.stac-item
2021-03-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-03-06_final.stac-item
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final.stac-item
2021-04-18 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2021-04-18_final
2021-05-15 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-05-15_final.stac-item
2021-08-03 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2021-08-03_final.stac-item
2021-08-13 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-08-13_final.stac-item
2021-08-16 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-08-16_final.stac-item
2021-08-26 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2021-08-26_final.stac-item
2021-09-05 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2021-09-05_final.stac-item
2021-09-15 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-09-15_final.stac-item
2021-09-22 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2021-09-22_final.stac-item
2021-10-02 11:32:42	ga_s2bm_ard_3-2-1_51KVV_2021-10-02_final.stac-item
2021-11-18 11:25:11	ga_s2bm_ard_3-2-1_51JWK_2021-11-18_final.stac-item
2021-11-21 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-11-21_final.stac-item
2021-11-24 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2021-11-24_final.stac-item
2021-12-11 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2021-12-11_final.stac-item
2021-12-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-23_final.stac-item
2021-12-27 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-27_final.stac-item
2022-01-07 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2022-01-07_final.stac-item
2022-02-12 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2022-02-12_final.stac-item
2022-03-10 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2022-03-10_final.stac-item
2022-05-13 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2022-05-13_final.stac-item
2022-06-09 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-06-09_final.stac-item
2022-06-19 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-06-19_final.stac-item
2022-07-12 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2022-07-12_final.stac-item
2022-08-30 12:14:08	ga_s2bm_ard_3-2-1_50KKV_2022-08-30_final.stac-item
2022-10-30 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-10-30_final.stac-item
2022-11-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-11-12_final.stac-item
2022-11-19 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2022-11-19_final.stac-item
2022-11-23 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2022-11-23_final.stac-item
2022-12-18 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-12-18_final.stac-item
2023-02-06 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-02-06_final
2023-03-06 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-06_final
2023-04-28 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2023-04-28_final
2023-05-25 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-05-25_final
2023-06-14 11:34:16	ga_s2bm_ard_3-2-1_51KWP_2023-06-14_final
2023-08-13 11:33:40	ga_s2bm_ard_3-2-1_51KUS_2023-08-13_final
2023-09-05 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2023-09-05_final
2023-09-05 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-09-05_final
2023-09-15 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-09-15_final
2023-09-25 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2023-09-25_final
2023-10-02 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2023-10-02_final
2023-11-07 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-11-07_final
2023-11-10 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-11-10_final
2023-12-08 11:26:02	ga_s2bm_ard_3-2-1_51JUG_2023-12-08_final
2023-12-27 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-12-27_final
2024-01-03 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2024-01-03_final
2024-02-29 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2024-02-29_final
2024-04-03 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2024-04-03_final
2024-04-15 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2024-04-15_final
2024-04-22 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2024-04-22_final
2024-05-19 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2024-05-19_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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