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
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLK_2017-07-31_final.stac-item
2017-08-02 10:53:14	ga_s2bm_ard_3-2-1_52JGL_2017-08-02_final.stac-item
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51JVJ_2017-10-13_final.stac-item
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JXH_2017-11-09_final.stac-item
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51JTN_2017-11-25_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYT_2017-12-29_final.stac-item
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52JFR_2017-12-30_final.stac-item
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_52JBM_2018-01-25_final.stac-item
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52JCN_2018-02-14_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KUS_2018-02-20_final.stac-item
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_51JZN_2018-04-25_final.stac-item
2018-06-06 11:51:08	ga_s2bm_ard_3-2-1_50KMB_2018-06-06_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JYH_2018-07-07_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JEL_2018-10-09_final.stac-item
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52JCN_2018-10-22_final.stac-item
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNK_2018-10-31_final.stac-item
2018-11-10 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2018-11-10_final.stac-item
2018-12-07 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2018-12-07_final.stac-item
2019-02-08 11:43:22	ga_s2bm_ard_3-2-1_50KQC_2019-02-08_final.stac-item
2019-03-13 11:54:23	ga_s2bm_ard_3-2-1_50KMU_2019-03-13_final.stac-item
2019-03-23 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2019-03-23_final.stac-item
2019-04-16 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2019-04-16_final.stac-item
2019-04-22 11:53:17	ga_s2bm_ard_3-2-1_50KRC_2019-04-22_final.stac-item
2019-06-08 11:44:24	ga_s2bm_ard_3-2-1_50KRU_2019-06-08_final.stac-item
2019-06-22 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2019-06-22_final.stac-item
2019-06-22 11:27:06	ga_s2bm_ard_3-2-1_51HVC_2019-06-22_final.stac-item
2019-07-12 11:24:52	ga_s2bm_ard_3-2-1_52JBR_2019-07-12_final.stac-item
2019-09-21 10:55:59	ga_s2bm_ard_3-2-1_52JFL_2019-09-21_final.stac-item
2019-10-10 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2019-10-10_final.stac-item
2019-10-20 11:23:37	ga_s2bm_ard_3-2-1_51KZR_2019-10-20_final.stac-item
2019-10-20 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2019-10-20_final.stac-item
2019-12-28 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2019-12-28_final.stac-item
2020-01-08 11:24:06	ga_s2bm_ard_3-2-1_51KXP_2020-01-08_final.stac-item
2020-01-14 11:44:54	ga_s2bm_ard_3-2-1_51JTL_2020-01-14_final.stac-item
2020-03-14 11:45:37	ga_s2bm_ard_3-2-1_50JNP_2020-03-14_final.stac-item
2020-03-15 11:14:07	ga_s2bm_ard_3-2-1_51KZP_2020-03-15_final.stac-item
2020-03-17 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-17_final.stac-item
2020-06-03 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2020-06-03_final.stac-item
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final.stac-item
2020-07-19 11:34:01	ga_s2bm_ard_3-2-1_51KVQ_2020-07-19_final.stac-item
2020-08-05 11:26:03	ga_s2bm_ard_3-2-1_51JVG_2020-08-05_final.stac-item
2020-09-10 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-09-10_final.stac-item
2020-09-26 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-09-26_final.stac-item
2020-11-13 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2020-11-13_final.stac-item
2020-11-26 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2020-11-26_final.stac-item
2020-12-06 11:36:59	ga_s2bm_ard_3-2-1_51HTC_2020-12-06_final.stac-item
2020-12-09 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2020-12-09_final.stac-item
2021-02-10 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-02-10_final.stac-item
2021-02-14 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2021-02-14_final.stac-item
2021-03-12 11:56:36	ga_s2bm_ard_3-2-1_50HMK_2021-03-12_final.stac-item
2021-03-19 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-03-19_final.stac-item
2021-05-05 11:36:11	ga_s2bm_ard_3-2-1_51JUF_2021-05-05_final.stac-item
2021-05-22 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2021-05-22_final.stac-item
2021-06-02 10:55:35	ga_s2bm_ard_3-2-1_52JEN_2021-06-02_final.stac-item
2021-06-10 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-06-10_final.stac-item
2021-06-28 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-06-28_final.stac-item
2021-07-04 11:35:52	ga_s2bm_ard_3-2-1_50JQN_2021-07-04_final.stac-item
2021-08-16 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2021-08-16_final.stac-item
2021-08-19 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2021-08-19_final.stac-item
2021-08-22 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2021-08-22_final.stac-item
2021-08-24 11:05:29	ga_s2bm_ard_3-2-1_52JEN_2021-08-24_final.stac-item
2021-08-26 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-08-26_final.stac-item
2021-09-15 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-09-15_final.stac-item
2021-10-10 10:55:32	ga_s2bm_ard_3-2-1_52JFN_2021-10-10_final.stac-item
2021-10-20 10:54:49	ga_s2bm_ard_3-2-1_52JFR_2021-10-20_final.stac-item
2021-10-25 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2021-10-25_final.stac-item
2021-11-22 11:05:19	ga_s2bm_ard_3-2-1_52JCP_2021-11-22_final.stac-item
2021-11-25 11:15:00	ga_s2bm_ard_3-2-1_52JCQ_2021-11-25_final.stac-item
2022-01-17 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2022-01-17_final.stac-item
2022-01-30 11:31:47	ga_s2bm_ard_3-2-1_51LYC_2022-01-30_final.stac-item
2022-03-03 12:13:50	ga_s2bm_ard_3-2-1_49KGR_2022-03-03_final.stac-item
2022-06-09 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2022-06-09_final.stac-item
2022-06-13 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2022-06-13_final.stac-item
2022-07-18 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2022-07-18_final.stac-item
2022-08-05 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2022-08-05_final.stac-item
2022-10-30 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-10-30_final.stac-item
2023-01-11 11:57:08	ga_s2bm_ard_3-2-1_50HKH_2023-01-11_nrt.stac-item
2023-01-15 11:31:38	ga_s2bm_ard_3-2-1_51LXD_2023-01-15_final.stac-item
2023-01-18 13:21:35	ga_s2bm_ard_3-2-1_47LKH_2023-01-18_interim
2023-02-24 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2023-02-24_final
2023-02-26 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2023-02-26_final
2023-02-28 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2023-02-28_nrt
2023-04-08 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-04-08_final
2023-04-09 12:51:02	ga_s2bm_ard_3-2-1_48LWP_2023-04-09_final
2023-04-28 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2023-04-28_final
2023-05-01 11:54:00	ga_s2bm_ard_3-2-1_50KMA_2023-05-01_final
2023-05-09 12:51:03	ga_s2bm_ard_3-2-1_48LWP_2023-05-09_final
2023-05-25 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-05-25_final
2023-06-11 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2023-06-11_final
2023-11-28 11:25:17	ga_s2bm_ard_3-2-1_51JYJ_2023-11-28_final
2023-12-01 11:31:03	ga_s2bm_ard_3-2-1_51LZF_2023-12-01_nrt
2023-12-08 11:26:22	ga_s2bm_ard_3-2-1_51HWE_2023-12-08_final
2023-12-21 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-12-21_final
2023-12-31 11:35:57	ga_s2bm_ard_3-2-1_50JQN_2023-12-31_final
2024-01-10 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2024-01-10_final
2024-01-23 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2024-01-23_final
2024-01-24 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2024-01-24_interim.stac-item
2024-03-10 11:31:53	ga_s2bm_ard_3-2-1_51LXC_2024-03-10_final
2024-03-20 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2024-03-20_final
2024-03-24 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2024-03-24_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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