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
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_51HWE_2017-08-28_final.stac-item
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KXT_2017-10-13_final.stac-item
2017-10-23 09:54:03	ga_s2bm_ard_3-2-1_54GYA_2017-10-23_final.stac-item
2017-11-06 11:06:59	ga_s2bm_ard_3-2-1_52LGK_2017-11-06_final.stac-item
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53JKJ_2017-12-27_final.stac-item
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51LZD_2018-01-11_final.stac-item
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51KUT_2018-01-21_final.stac-item
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_51KXU_2018-01-28_final.stac-item
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53KKT_2018-01-29_final.stac-item
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HUC_2018-02-07_final.stac-item
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53HPA_2018-03-14_final.stac-item
2018-04-19 10:47:23	ga_s2bm_ard_3-2-1_53LPF_2018-04-19_final.stac-item
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HWE_2018-05-25_final.stac-item
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JKH_2018-05-26_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KXU_2018-05-31_final.stac-item
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_53JNM_2018-06-22_final.stac-item
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_50KKU_2018-08-21_final.stac-item
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_53LKG_2018-08-30_final.stac-item
2018-08-31 10:30:56	ga_s2bm_ard_3-2-1_53JNN_2018-08-31_final.stac-item
2018-09-20 10:30:58	ga_s2bm_ard_3-2-1_53HPB_2018-09-20_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_50HPK_2018-10-08_final.stac-item
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JFN_2018-10-09_final.stac-item
2018-10-10 10:32:00	ga_s2bm_ard_3-2-1_53KPQ_2018-10-10_final.stac-item
2018-11-06 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2018-11-06_final.stac-item
2018-11-22 10:44:17	ga_s2bm_ard_3-2-1_53JNM_2018-11-22_final.stac-item
2018-11-26 10:24:15	ga_s2bm_ard_3-2-1_53JRM_2018-11-26_final.stac-item
2019-01-08 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2019-01-08_final.stac-item
2019-01-09 11:44:05	ga_s2bm_ard_3-2-1_50KRU_2019-01-09_final.stac-item
2019-01-15 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2019-01-15_final.stac-item
2019-01-26 11:34:43	ga_s2bm_ard_3-2-1_51JVM_2019-01-26_final.stac-item
2019-01-31 10:42:18	ga_s2bm_ard_3-2-1_53KQV_2019-01-31_final.stac-item
2019-01-31 10:44:11	ga_s2bm_ard_3-2-1_53JNN_2019-01-31_final.stac-item
2019-05-24 10:50:47	ga_s2bm_ard_3-2-1_53LNG_2019-05-24_final.stac-item
2019-06-03 10:50:57	ga_s2bm_ard_3-2-1_53LPF_2019-06-03_final.stac-item
2019-06-07 10:32:30	ga_s2bm_ard_3-2-1_53KQV_2019-06-07_final.stac-item
2019-06-30 10:44:29	ga_s2bm_ard_3-2-1_53JNM_2019-06-30_final.stac-item
2019-07-21 11:57:14	ga_s2bm_ard_3-2-1_50HMH_2019-07-21_final.stac-item
2019-07-27 12:15:04	ga_s2bm_ard_3-2-1_49JGM_2019-07-27_final.stac-item
2020-01-08 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2020-01-08_final.stac-item
2020-01-22 11:02:48	ga_s2bm_ard_3-2-1_53KKT_2020-01-22_final.stac-item
2020-02-04 11:12:36	ga_s2bm_ard_3-2-1_52KFD_2020-02-04_final.stac-item
2020-02-22 10:36:43	ga_s2bm_ard_3-2-1_53HPB_2020-02-22_final.stac-item
2020-04-19 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2020-04-19_final.stac-item
2020-07-06 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2020-07-06_final.stac-item
2020-09-19 10:33:47	ga_s2bm_ard_3-2-1_53KRP_2020-09-19_final.stac-item
2020-10-05 10:53:43	ga_s2bm_ard_3-2-1_53KLQ_2020-10-05_final.stac-item
2020-10-27 11:31:52	ga_s2bm_ard_3-2-1_51LZC_2020-10-27_final.stac-item
2020-12-05 10:26:52	ga_s2bm_ard_3-2-1_53HNB_2020-12-05_final.stac-item
2020-12-10 11:13:19	ga_s2bm_ard_3-2-1_52KCB_2020-12-10_final.stac-item
2020-12-20 11:11:36	ga_s2bm_ard_3-2-1_52LGH_2020-12-20_final.stac-item
2020-12-28 10:33:43	ga_s2bm_ard_3-2-1_53KRP_2020-12-28_final.stac-item
2021-01-16 11:04:29	ga_s2bm_ard_3-2-1_52JFS_2021-01-16_final.stac-item
2021-02-09 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2021-02-09_final.stac-item
2021-03-08 10:34:24	ga_s2bm_ard_3-2-1_53JNM_2021-03-08_final.stac-item
2021-05-24 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2021-05-24_final.stac-item
2021-06-17 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2021-06-17_final.stac-item
2021-08-28 10:44:04	ga_s2bm_ard_3-2-1_53JNN_2021-08-28_final.stac-item
2021-09-12 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-09-12_final.stac-item
2021-09-27 10:44:59	ga_s2bm_ard_3-2-1_53JKK_2021-09-27_final.stac-item
2021-10-16 11:15:19	ga_s2bm_ard_3-2-1_52JCP_2021-10-16_final.stac-item
2021-11-21 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2021-11-21_final.stac-item
2022-01-30 11:32:56	ga_s2bm_ard_3-2-1_51KYT_2022-01-30_final.stac-item
2022-01-31 11:03:40	ga_s2bm_ard_3-2-1_52KFV_2022-01-31_final.stac-item
2022-02-01 10:33:53	ga_s2bm_ard_3-2-1_53JRN_2022-02-01_final.stac-item
2022-03-13 10:33:58	ga_s2bm_ard_3-2-1_53JRN_2022-03-13_final.stac-item
2022-05-12 10:34:36	ga_s2bm_ard_3-2-1_53JPL_2022-05-12_final.stac-item
2022-05-13 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2022-05-13_final.stac-item
2022-05-13 11:45:12	ga_s2bm_ard_3-2-1_51JTK_2022-05-13_final.stac-item
2022-05-29 10:26:03	ga_s2bm_ard_3-2-1_53HQE_2022-05-29_final.stac-item
2022-06-24 10:44:21	ga_s2bm_ard_3-2-1_53JPM_2022-06-24_final.stac-item
2022-08-01 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2022-08-01_final.stac-item
2022-08-20 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2022-08-20_final.stac-item
2022-09-04 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2022-09-04_final.stac-item
2022-09-28 11:02:10	ga_s2bm_ard_3-2-1_53KKA_2022-09-28_final.stac-item
2022-10-01 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2022-10-01_final.stac-item
2022-10-11 11:14:48	ga_s2bm_ard_3-2-1_52JCR_2022-10-11_final.stac-item
2022-10-25 10:54:25	ga_s2bm_ard_3-2-1_52JHS_2022-10-25_final.stac-item
2022-10-30 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2022-10-30_final.stac-item
2022-11-27 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2022-11-27_final.stac-item
2022-12-17 11:01:40	ga_s2bm_ard_3-2-1_53LKC_2022-12-17_final.stac-item
2023-01-02 11:23:27	ga_s2bm_ard_3-2-1_51KXS_2023-01-02_final.stac-item
2023-01-03 10:54:48	ga_s2bm_ard_3-2-1_53JLK_2023-01-03_final.stac-item
2023-03-29 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-29_final
2023-04-05 09:58:08	ga_s2bm_ard_3-2-1_54GYA_2023-04-05_final
2023-04-24 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-04-24_final
2023-05-24 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2023-05-24_final
2023-06-01 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-06-01_final
2023-06-06 10:33:54	ga_s2bm_ard_3-2-1_53KQP_2023-06-06_final
2023-06-20 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-06-20_final
2023-07-02 10:55:01	ga_s2bm_ard_3-2-1_53JKK_2023-07-02_final
2023-09-02 11:36:39	ga_s2bm_ard_3-2-1_50HQK_2023-09-02_final
2023-11-29 10:54:20	ga_s2bm_ard_3-2-1_53JLM_2023-11-29_final
2023-12-17 11:57:14	ga_s2bm_ard_3-2-1_49HGC_2023-12-17_nrt
2023-12-23 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2023-12-23_final
2024-01-04 11:16:41	ga_s2bm_ard_3-2-1_51HXD_2024-01-04_final
2024-01-24 11:13:56	ga_s2bm_ard_3-2-1_52KEU_2024-01-24_final
2024-03-04 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2024-03-04_final
2024-03-08 10:53:37	ga_s2bm_ard_3-2-1_53KKQ_2024-03-08_final
2024-03-11 11:00:55	ga_s2bm_ard_3-2-1_52LHL_2024-03-11_final
2024-03-31 11:01:41	ga_s2bm_ard_3-2-1_53LKC_2024-03-31_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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