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
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KVT_2017-11-15_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KVU_2017-11-22_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUR_2017-12-15_final.stac-item
2018-04-07 11:46:20	ga_s2bm_ard_3-2-1_50KRC_2018-04-07_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_49JHN_2018-04-10_final.stac-item
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWS_2018-05-01_final.stac-item
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KRD_2018-05-07_final.stac-item
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51KVA_2018-08-02_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51JVK_2018-08-29_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_50HQJ_2018-09-11_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVR_2018-10-28_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWR_2018-10-28_final.stac-item
2018-11-07 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2018-11-07_final.stac-item
2018-11-10 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2018-11-10_final.stac-item
2018-11-10 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2018-11-10_final.stac-item
2018-11-20 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2018-11-20_final.stac-item
2018-11-30 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2018-11-30_final.stac-item
2018-12-23 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2018-12-23_final.stac-item
2018-12-27 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2018-12-27_final.stac-item
2019-02-01 11:52:59	ga_s2bm_ard_3-2-1_50KRD_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
2019-05-10 11:16:16	ga_s2bm_ard_3-2-1_51JYF_2019-05-10_final.stac-item
2019-06-04 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-04_final.stac-item
2019-07-08 11:43:20	ga_s2bm_ard_3-2-1_51KVT_2019-07-08_final.stac-item
2019-09-12 12:05:52	ga_s2bm_ard_3-2-1_50JLN_2019-09-12_final.stac-item
2019-10-26 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2019-10-26_final.stac-item
2019-11-12 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2019-11-12_final.stac-item
2019-11-22 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2019-11-22_final.stac-item
2019-11-22 11:34:00	ga_s2bm_ard_3-2-1_51KUQ_2019-11-22_final.stac-item
2019-12-12 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2019-12-12_final.stac-item
2019-12-15 11:44:15	ga_s2bm_ard_3-2-1_51KUP_2019-12-15_final.stac-item
2019-12-22 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-22_final.stac-item
2019-12-22 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2019-12-22_final.stac-item
2019-12-25 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2019-12-25_final.stac-item
2020-01-01 11:33:22	ga_s2bm_ard_3-2-1_51KWS_2020-01-01_final.stac-item
2020-01-11 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2020-01-11_final.stac-item
2020-01-24 11:42:21	ga_s2bm_ard_3-2-1_51KVA_2020-01-24_final.stac-item
2020-01-31 11:33:34	ga_s2bm_ard_3-2-1_51KWR_2020-01-31_final.stac-item
2020-04-06 11:54:05	ga_s2bm_ard_3-2-1_50KNV_2020-04-06_final.stac-item
2020-06-29 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2020-06-29_final.stac-item
2020-07-22 11:43:27	ga_s2bm_ard_3-2-1_51KVS_2020-07-22_final.stac-item
2020-08-08 11:33:45	ga_s2bm_ard_3-2-1_51KWR_2020-08-08_final.stac-item
2020-09-27 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2020-09-27_final.stac-item
2020-09-30 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2020-09-30_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
2020-10-24 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-10-24_final.stac-item
2020-10-26 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2020-10-26_final.stac-item
2020-10-30 11:43:36	ga_s2bm_ard_3-2-1_50KRB_2020-10-30_final.stac-item
2020-11-13 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2020-11-13_final.stac-item
2020-12-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2020-12-06_final.stac-item
2021-01-08 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-01-08_final.stac-item
2021-02-24 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-02-24_final.stac-item
2021-03-29 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2021-03-29_final.stac-item
2021-05-08 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2021-05-08_final.stac-item
2021-07-07 11:45:41	ga_s2bm_ard_3-2-1_50JNP_2021-07-07_final.stac-item
2021-07-07 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2021-07-07_final
2021-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2021-07-27_final.stac-item
2021-08-10 11:24:03	ga_s2bm_ard_3-2-1_51KWQ_2021-08-10_final.stac-item
2021-08-23 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2021-08-23_final.stac-item
2021-11-11 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-11-11_final.stac-item
2021-11-14 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-11-14_final.stac-item
2021-11-14 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2021-11-14_final.stac-item
2021-11-14 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2021-11-14_final.stac-item
2021-11-14 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2021-11-14_final.stac-item
2021-11-24 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-11-24_final.stac-item
2021-11-24 11:44:01	ga_s2bm_ard_3-2-1_50KPV_2021-11-24_final.stac-item
2021-12-04 11:43:39	ga_s2bm_ard_3-2-1_51KUR_2021-12-04_final.stac-item
2021-12-07 11:55:41	ga_s2bm_ard_3-2-1_50JKP_2021-12-07_final.stac-item
2021-12-11 11:32:41	ga_s2bm_ard_3-2-1_51KVV_2021-12-11_final.stac-item
2021-12-24 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-24_final.stac-item
2022-01-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-13_final.stac-item
2022-01-24 11:16:21	ga_s2bm_ard_3-2-1_51HXE_2022-01-24_final.stac-item
2022-02-18 12:03:52	ga_s2bm_ard_3-2-1_50KKA_2022-02-18_final.stac-item
2022-03-27 11:53:54	ga_s2bm_ard_3-2-1_50KMA_2022-03-27_final.stac-item
2022-03-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2022-03-30_final.stac-item
2022-05-16 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2022-05-16_final
2022-05-23 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2022-05-23_final.stac-item
2022-06-09 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2022-06-09_final.stac-item
2022-11-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-11-19_final.stac-item
2022-12-08 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2022-12-08_final.stac-item
2023-01-11 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2023-01-11_final.stac-item
2023-04-11 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-04-11_final
2023-04-15 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-04-15_final
2023-05-29 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2023-05-29_final
2023-06-11 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-06-11_final
2023-06-14 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-06-14_final
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final
2023-10-18 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-10-18_final
2023-10-25 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2023-10-25_final
2023-12-01 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-12-01_final
2023-12-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-12-14_final
2024-02-09 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2024-02-09_final
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-21_final
2024-03-03 11:43:11	ga_s2bm_ard_3-2-1_51KUT_2024-03-03_final
2024-03-03 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2024-03-03_final
2024-03-10 11:36:58	ga_s2bm_ard_3-2-1_50HQH_2024-03-10_final
2024-03-12 12:14:56	ga_s2bm_ard_3-2-1_49JFM_2024-03-12_final
2024-05-06 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2024-05-06_final
2024-05-09 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2024-05-09_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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