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
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JML_2017-07-21_final.stac-item
2017-08-08 11:12:00	ga_s2bm_ard_3-2-1_51HXD_2017-08-08_final.stac-item
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JMM_2017-11-28_final.stac-item
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JWJ_2017-11-29_final.stac-item
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_50KKA_2017-12-21_final.stac-item
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51JTM_2017-12-25_final.stac-item
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HNK_2018-01-14_final.stac-item
2018-03-26 11:11:52	ga_s2bm_ard_3-2-1_51JXH_2018-03-26_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGL_2018-03-31_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JKT_2018-04-20_final.stac-item
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50JLN_2018-04-27_final.stac-item
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVS_2018-05-14_final.stac-item
2018-06-09 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-06-09_final.stac-item
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKP_2018-06-26_final.stac-item
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51HUC_2018-07-27_final.stac-item
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51JWK_2018-09-05_final.stac-item
2018-09-17 12:02:41	ga_s2bm_ard_3-2-1_50KMC_2018-09-17_final.stac-item
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KTU_2018-09-21_final.stac-item
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51JZM_2018-10-05_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVB_2018-10-31_final.stac-item
2018-12-30 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2018-12-30_final.stac-item
2019-01-19 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2019-01-19_final.stac-item
2019-04-15 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2019-04-15_final.stac-item
2019-04-26 11:34:10	ga_s2bm_ard_3-2-1_51KUQ_2019-04-26_final.stac-item
2019-05-26 11:33:56	ga_s2bm_ard_3-2-1_51KUR_2019-05-26_final.stac-item
2019-05-26 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-26_final.stac-item
2019-08-04 11:35:34	ga_s2bm_ard_3-2-1_51JVJ_2019-08-04_final.stac-item
2019-08-04 11:36:39	ga_s2bm_ard_3-2-1_51HTE_2019-08-04_final.stac-item
2019-08-14 11:32:35	ga_s2bm_ard_3-2-1_51KWA_2019-08-14_final.stac-item
2019-08-23 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2019-08-23_final.stac-item
2019-09-06 11:45:49	ga_s2bm_ard_3-2-1_50JQN_2019-09-06_final.stac-item
2019-09-12 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2019-09-12_final.stac-item
2019-12-25 11:43:17	ga_s2bm_ard_3-2-1_50KQC_2019-12-25_final.stac-item
2020-01-13 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2020-01-13_final.stac-item
2020-01-18 11:25:32	ga_s2bm_ard_3-2-1_51JXH_2020-01-18_final.stac-item
2020-02-07 11:26:34	ga_s2bm_ard_3-2-1_51HWD_2020-02-07_final.stac-item
2020-03-27 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2020-03-27_final.stac-item
2020-04-03 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2020-04-03_final.stac-item
2020-04-27 11:24:18	ga_s2bm_ard_3-2-1_51JYN_2020-04-27_final.stac-item
2020-04-27 11:25:19	ga_s2bm_ard_3-2-1_51JXJ_2020-04-27_final.stac-item
2020-05-16 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2020-05-16_final.stac-item
2020-06-02 11:45:01	ga_s2bm_ard_3-2-1_51JTL_2020-06-02_final.stac-item
2020-06-21 12:14:05	ga_s2bm_ard_3-2-1_49KHQ_2020-06-21_final.stac-item
2020-07-09 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2020-07-09_final.stac-item
2020-07-29 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-07-29_final.stac-item
2020-08-18 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-08-18_final.stac-item
2020-08-21 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-21_final.stac-item
2020-10-26 12:04:43	ga_s2bm_ard_3-2-1_50JLT_2020-10-26_final.stac-item
2020-11-22 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2020-11-22_final.stac-item
2020-11-23 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2020-11-23_final.stac-item
2021-01-25 11:35:41	ga_s2bm_ard_3-2-1_51JVH_2021-01-25_final.stac-item
2021-01-28 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-01-28_final.stac-item
2021-02-26 12:13:53	ga_s2bm_ard_3-2-1_49KHR_2021-02-26_final.stac-item
2021-02-26 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2021-02-26_final.stac-item
2021-03-15 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2021-03-15_final.stac-item
2021-05-02 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2021-05-02_final.stac-item
2021-05-18 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-05-18_final.stac-item
2021-05-31 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2021-05-31_final.stac-item
2021-08-06 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2021-08-06_final.stac-item
2021-08-07 11:17:00	ga_s2bm_ard_3-2-1_51HWC_2021-08-07_final
2021-10-25 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2021-10-25_final.stac-item
2021-11-24 11:43:14	ga_s2bm_ard_3-2-1_50KRC_2021-11-24_final.stac-item
2021-12-27 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2021-12-27_final.stac-item
2022-01-12 12:13:50	ga_s2bm_ard_3-2-1_50KKA_2022-01-12_final.stac-item
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_50KRC_2022-02-12_final.stac-item
2022-03-10 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-03-10_final.stac-item
2022-03-14 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2022-03-14_final.stac-item
2022-03-27 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2022-03-27_final
2022-04-03 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2022-04-03_final.stac-item
2022-04-26 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2022-04-26_final.stac-item
2022-05-22 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-05-22_final.stac-item
2022-06-19 11:32:19	ga_s2bm_ard_3-2-1_51KWB_2022-06-19_final.stac-item
2022-07-16 11:25:17	ga_s2bm_ard_3-2-1_51JWK_2022-07-16_final.stac-item
2022-08-17 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2022-08-17_final.stac-item
2022-09-11 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2022-09-11_final.stac-item
2022-09-13 11:55:22	ga_s2bm_ard_3-2-1_50JNQ_2022-09-13_final.stac-item
2022-09-24 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2022-09-24_final.stac-item
2022-10-27 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2022-10-27_final.stac-item
2022-11-15 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-11-15_final.stac-item
2022-12-19 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-12-19_final.stac-item
2023-01-08 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2023-01-08_final.stac-item
2023-02-07 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-07_final
2023-04-21 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2023-04-21_final
2023-04-25 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2023-04-25_final
2023-05-12 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-05-12_final
2023-05-15 11:37:10	ga_s2bm_ard_3-2-1_50HPH_2023-05-15_final
2023-06-17 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-06-17_final
2023-07-03 12:04:36	ga_s2bm_ard_3-2-1_50KLU_2023-07-03_final
2023-07-06 12:15:16	ga_s2bm_ard_3-2-1_49JGL_2023-07-06_final
2023-07-17 11:43:09	ga_s2bm_ard_3-2-1_50KRD_2023-07-17_final
2023-07-20 11:53:30	ga_s2bm_ard_3-2-1_50KNC_2023-07-20_final
2023-09-09 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-09-09_final
2023-09-18 11:53:34	ga_s2bm_ard_3-2-1_50KMC_2023-09-18_final
2023-10-21 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2023-10-21_final
2023-11-21 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2023-11-21_final
2023-12-01 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2023-12-01_final
2023-12-14 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2023-12-14_final
2024-03-09 12:04:55	ga_s2bm_ard_3-2-1_49JGM_2024-03-09_final
2024-03-30 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2024-03-30_final
2024-04-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2024-04-16_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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