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
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51LZE_2017-11-19_final.stac-item
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51JUN_2018-01-14_final.stac-item
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51HXD_2018-01-28_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HNJ_2018-02-23_final.stac-item
2018-03-04 12:13:12	ga_s2bm_ard_3-2-1_50KKB_2018-03-04_final.stac-item
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50JMS_2018-04-10_final.stac-item
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_52JCS_2018-04-25_final.stac-item
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JBL_2018-05-12_final.stac-item
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50KKA_2018-06-19_final.stac-item
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51JVH_2018-07-17_final.stac-item
2018-10-10 12:13:39	ga_s2bm_ard_3-2-1_49JGM_2018-10-10_final.stac-item
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51HUC_2018-10-28_final.stac-item
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_50KPV_2018-10-31_final.stac-item
2018-11-14 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2018-11-14_final.stac-item
2019-01-06 11:32:18	ga_s2bm_ard_3-2-1_51KVB_2019-01-06_final.stac-item
2019-02-06 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2019-02-06_final.stac-item
2019-02-15 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2019-02-15_final.stac-item
2019-03-10 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2019-03-10_final.stac-item
2019-03-17 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2019-03-17_final.stac-item
2019-03-17 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2019-03-17_final.stac-item
2019-03-21 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2019-03-21_final.stac-item
2019-04-15 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2019-04-15_final.stac-item
2019-06-08 11:45:54	ga_s2bm_ard_3-2-1_50JQN_2019-06-08_final.stac-item
2019-06-09 11:15:29	ga_s2bm_ard_3-2-1_52JBP_2019-06-09_final.stac-item
2019-08-17 11:43:35	ga_s2bm_ard_3-2-1_51KUS_2019-08-17_final.stac-item
2020-01-14 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2020-01-14_final.stac-item
2020-03-14 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final.stac-item
2020-04-07 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2020-04-07_final.stac-item
2020-04-13 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2020-04-13_final.stac-item
2020-04-22 12:13:30	ga_s2bm_ard_3-2-1_50KKB_2020-04-22_final.stac-item
2020-05-26 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2020-05-26_final.stac-item
2020-06-02 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2020-06-02_final.stac-item
2020-06-29 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2020-06-29_final.stac-item
2020-07-02 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2020-07-02_final.stac-item
2020-08-25 11:23:17	ga_s2bm_ard_3-2-1_51KXT_2020-08-25_final.stac-item
2020-09-16 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2020-09-16_final.stac-item
2020-11-06 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-11-06_final.stac-item
2020-12-09 11:43:30	ga_s2bm_ard_3-2-1_51KTS_2020-12-09_final.stac-item
2020-12-09 11:44:14	ga_s2bm_ard_3-2-1_50KRU_2020-12-09_final.stac-item
2021-01-05 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2021-01-05_final.stac-item
2021-01-25 11:34:14	ga_s2bm_ard_3-2-1_51KVP_2021-01-25_final.stac-item
2021-02-17 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-02-17_final.stac-item
2021-02-24 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2021-02-24_final.stac-item
2021-03-20 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2021-03-20_final.stac-item
2021-03-20 11:14:19	ga_s2bm_ard_3-2-1_52JCT_2021-03-20_final.stac-item
2021-04-19 11:14:24	ga_s2bm_ard_3-2-1_51JYN_2021-04-19_final.stac-item
2021-04-28 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2021-04-28_final.stac-item
2021-05-04 12:05:48	ga_s2bm_ard_3-2-1_50JLN_2021-05-04_final.stac-item
2021-05-25 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-05-25_final.stac-item
2021-06-08 11:16:45	ga_s2bm_ard_3-2-1_51HWD_2021-06-08_final.stac-item
2021-06-10 11:55:57	ga_s2bm_ard_3-2-1_50JLN_2021-06-10_final.stac-item
2021-06-11 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-06-11_final.stac-item
2021-06-11 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2021-06-11_final.stac-item
2021-06-18 11:15:30	ga_s2bm_ard_3-2-1_51JXJ_2021-06-18_final.stac-item
2021-06-30 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2021-06-30_final.stac-item
2021-07-05 11:05:35	ga_s2bm_ard_3-2-1_52JDN_2021-07-05_final.stac-item
2021-07-14 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2021-07-14_final.stac-item
2021-07-20 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2021-07-20_final.stac-item
2021-07-30 11:54:53	ga_s2bm_ard_3-2-1_50JNS_2021-07-30_final.stac-item
2021-08-24 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2021-08-24_final.stac-item
2021-10-05 11:41:59	ga_s2bm_ard_3-2-1_51LVC_2021-10-05_final.stac-item
2021-10-05 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2021-10-05_final.stac-item
2021-10-12 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2021-10-12_final.stac-item
2021-10-25 11:46:57	ga_s2bm_ard_3-2-1_50HMJ_2021-10-25_final.stac-item
2021-11-18 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2021-11-18_final.stac-item
2021-12-18 11:26:38	ga_s2bm_ard_3-2-1_51HVD_2021-12-18_final.stac-item
2022-03-31 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2022-03-31_final.stac-item
2022-04-04 11:16:02	ga_s2bm_ard_3-2-1_52JBL_2022-04-04_final.stac-item
2022-04-07 11:26:23	ga_s2bm_ard_3-2-1_51HWE_2022-04-07_final.stac-item
2022-04-17 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2022-04-17_final.stac-item
2022-04-30 11:33:53	ga_s2bm_ard_3-2-1_51KVQ_2022-04-30_final.stac-item
2022-05-04 11:16:26	ga_s2bm_ard_3-2-1_51HWE_2022-05-04_final.stac-item
2022-06-02 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2022-06-02_final.stac-item
2022-06-03 11:13:40	ga_s2bm_ard_3-2-1_51KZR_2022-06-03_final.stac-item
2022-08-21 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2022-08-21_final.stac-item
2022-08-31 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2022-08-31_final.stac-item
2022-11-26 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-11-26_final.stac-item
2023-01-05 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2023-01-05_final.stac-item
2023-01-15 11:31:56	ga_s2bm_ard_3-2-1_51LWC_2023-01-15_final.stac-item
2023-02-01 11:22:20	ga_s2bm_ard_3-2-1_51KZA_2023-02-01_final.stac-item
2023-02-21 11:21:39	ga_s2bm_ard_3-2-1_51LZD_2023-02-21_final
2023-02-21 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-02-21_final
2023-04-08 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-04-08_final
2023-04-25 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2023-04-25_final
2023-06-20 11:53:51	ga_s2bm_ard_3-2-1_50KQA_2023-06-20_final
2023-07-14 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-07-14_final
2023-09-02 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-09-02_final
2023-09-11 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2023-09-11_final
2023-10-08 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2023-10-08_final
2023-10-24 12:14:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-24_final
2023-11-04 11:44:34	ga_s2bm_ard_3-2-1_51JTN_2023-11-04_final
2023-11-28 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2023-11-28_final
2023-12-08 11:25:24	ga_s2bm_ard_3-2-1_51JWJ_2023-12-08_final
2024-01-20 11:32:19	ga_s2bm_ard_3-2-1_51KVB_2024-01-20_final
2024-02-29 11:31:04	ga_s2bm_ard_3-2-1_51LZF_2024-02-29_nrt
2024-03-07 11:23:44	ga_s2bm_ard_3-2-1_51KZQ_2024-03-07_final
2024-03-10 11:32:17	ga_s2bm_ard_3-2-1_51KYA_2024-03-10_final
2024-03-10 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2024-03-10_final
2024-03-10 11:34:50	ga_s2bm_ard_3-2-1_51JWL_2024-03-10_final
2024-04-23 11:15:36	ga_s2bm_ard_3-2-1_52JBN_2024-04-23_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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