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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KUP_2017-09-16_final.stac-item
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50HLH_2017-09-29_final.stac-item
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50KLU_2017-11-01_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_50JLT_2018-02-09_final.stac-item
2018-05-20 12:02:47	ga_s2bm_ard_3-2-1_50KKV_2018-05-20_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KNC_2018-06-19_final.stac-item
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQC_2018-07-06_final.stac-item
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_50JPL_2018-07-10_final.stac-item
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNJ_2018-08-02_final.stac-item
2018-08-18 12:03:23	ga_s2bm_ard_3-2-1_49JGJ_2018-08-18_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KLU_2018-08-28_final.stac-item
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HLK_2018-09-04_final.stac-item
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50KKB_2018-09-07_final.stac-item
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51KVA_2018-09-28_final.stac-item
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUR_2018-10-21_final.stac-item
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final.stac-item
2019-02-05 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-02-05_final.stac-item
2019-02-11 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-02-11_final.stac-item
2019-02-15 11:33:48	ga_s2bm_ard_3-2-1_51KUR_2019-02-15_final.stac-item
2019-02-25 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2019-02-25_final.stac-item
2019-03-13 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2019-03-13_final.stac-item
2019-06-01 11:56:34	ga_s2bm_ard_3-2-1_50JLL_2019-06-01_final.stac-item
2019-08-04 11:36:54	ga_s2bm_ard_3-2-1_51HTD_2019-08-04_final.stac-item
2019-09-05 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2019-09-05_final.stac-item
2019-09-29 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-09-29_final.stac-item
2019-11-02 11:36:32	ga_s2bm_ard_3-2-1_51HTE_2019-11-02_final.stac-item
2019-11-12 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2019-11-12_final.stac-item
2019-11-12 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2019-11-12_final.stac-item
2019-11-21 12:04:16	ga_s2bm_ard_3-2-1_49KGQ_2019-11-21_final.stac-item
2019-12-02 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2019-12-02_final.stac-item
2020-02-19 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2020-02-19_final.stac-item
2020-03-04 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2020-03-04_final.stac-item
2020-03-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2020-03-13_final.stac-item
2020-03-14 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-03-14_final.stac-item
2020-05-10 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2020-05-10_final.stac-item
2020-05-20 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2020-05-20_final.stac-item
2020-06-05 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2020-06-05_final.stac-item
2020-07-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-07-08_final.stac-item
2020-07-13 11:15:40	ga_s2bm_ard_3-2-1_51JYH_2020-07-13_final.stac-item
2020-09-26 12:04:16	ga_s2bm_ard_3-2-1_50KKV_2020-09-26_final.stac-item
2020-09-27 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2020-09-27_final.stac-item
2020-09-29 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2020-09-29_final.stac-item
2020-10-19 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2020-10-19_final.stac-item
2020-10-30 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2020-10-30_final.stac-item
2020-12-03 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2020-12-03_final.stac-item
2020-12-16 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-12-16_final.stac-item
2020-12-19 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2020-12-19_final.stac-item
2021-01-15 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-01-15_final.stac-item
2021-02-24 11:36:47	ga_s2bm_ard_3-2-1_50HQJ_2021-02-24_final.stac-item
2021-03-06 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2021-03-06_final.stac-item
2021-03-09 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-09_final.stac-item
2021-03-26 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2021-03-26_final.stac-item
2021-05-14 12:03:40	ga_s2bm_ard_3-2-1_50KLB_2021-05-14_final.stac-item
2021-06-23 12:05:30	ga_s2bm_ard_3-2-1_49JGK_2021-06-23_final.stac-item
2021-07-20 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2021-07-20_final.stac-item
2021-08-12 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2021-08-12_final.stac-item
2021-08-20 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-08-20_final.stac-item
2021-09-29 11:26:17	ga_s2bm_ard_3-2-1_51JUF_2021-09-29_final.stac-item
2021-10-08 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-10-08_final.stac-item
2021-10-18 11:53:26	ga_s2bm_ard_3-2-1_50KNC_2021-10-18_final.stac-item
2021-10-22 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2021-10-22_final.stac-item
2021-11-01 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2021-11-01_final.stac-item
2021-11-11 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2021-11-11_final.stac-item
2022-01-03 11:43:14	ga_s2bm_ard_3-2-1_51KTT_2022-01-03_final.stac-item
2022-01-16 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-16_final.stac-item
2022-01-20 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2022-01-20_final.stac-item
2022-04-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2022-04-16_final.stac-item
2022-04-20 11:35:46	ga_s2bm_ard_3-2-1_50JQN_2022-04-20_final.stac-item
2022-05-17 11:24:36	ga_s2bm_ard_3-2-1_51JYM_2022-05-17_final.stac-item
2022-06-01 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-06-01_final.stac-item
2022-06-05 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-06-05_final.stac-item
2022-06-19 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2022-06-19_final.stac-item
2022-06-28 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-06-28_final.stac-item
2022-08-08 11:34:44	ga_s2bm_ard_3-2-1_51JWM_2022-08-08_final.stac-item
2022-08-17 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-08-17_final.stac-item
2022-08-31 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2022-08-31_final.stac-item
2022-09-06 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2022-09-06_final.stac-item
2022-09-06 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2022-09-06_final.stac-item
2022-12-06 11:34:40	ga_s2bm_ard_3-2-1_51JVM_2022-12-06_final.stac-item
2023-01-07 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-01-07_final.stac-item
2023-02-04 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-02-04_final.stac-item
2023-02-14 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2023-02-14_final
2023-03-05 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-03-05_final
2023-04-17 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2023-04-17_final
2023-04-25 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2023-04-25_final
2023-05-31 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-05-31_final
2023-06-10 11:53:26	ga_s2bm_ard_3-2-1_50KPC_2023-06-10_final
2023-07-01 11:26:05	ga_s2bm_ard_3-2-1_51JVG_2023-07-01_final
2023-07-17 11:44:36	ga_s2bm_ard_3-2-1_50JRT_2023-07-17_final
2023-07-31 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2023-07-31_final
2023-08-02 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-08-02_final
2023-08-07 11:16:17	ga_s2bm_ard_3-2-1_51JXF_2023-08-07_final
2023-08-19 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2023-08-19_final
2023-11-04 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2023-11-04_final
2023-11-18 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2023-11-18_final
2023-12-14 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2023-12-14_final
2024-01-13 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2024-01-13_final
2024-04-02 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2024-04-02_final
2024-04-09 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2024-04-09_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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