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
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KUQ_2017-07-25_final.stac-item
2017-09-02 12:02:43	ga_s2bm_ard_3-2-1_50KKA_2017-09-02_final.stac-item
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KWR_2017-09-23_final.stac-item
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KYU_2017-11-02_final.stac-item
2017-12-06 11:07:01	ga_s2bm_ard_3-2-1_52KDG_2017-12-06_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KWQ_2017-12-29_final.stac-item
2018-01-29 10:47:18	ga_s2bm_ard_3-2-1_53LMG_2018-01-29_final.stac-item
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KVU_2018-02-20_final.stac-item
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53KQP_2018-02-22_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50JKM_2018-03-08_final.stac-item
2018-03-26 11:07:07	ga_s2bm_ard_3-2-1_52LGM_2018-03-26_final.stac-item
2018-04-10 10:17:03	ga_s2bm_ard_3-2-1_53HPC_2018-04-10_final.stac-item
2018-04-19 10:47:23	ga_s2bm_ard_3-2-1_52JGP_2018-04-19_final.stac-item
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_52JGM_2018-05-26_final.stac-item
2018-06-24 11:14:42	ga_s2bm_ard_3-2-1_51JXF_2018-06-24_final.stac-item
2018-08-19 11:26:54	ga_s2bm_ard_3-2-1_51LYD_2018-08-19_final.stac-item
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JKG_2018-09-23_final.stac-item
2018-11-14 11:26:19	ga_s2bm_ard_3-2-1_51HXE_2018-11-14_final.stac-item
2019-01-28 10:34:13	ga_s2bm_ard_3-2-1_53JPM_2019-01-28_final.stac-item
2019-02-12 11:26:40	ga_s2bm_ard_3-2-1_51HWD_2019-02-12_final.stac-item
2019-03-01 11:11:29	ga_s2bm_ard_3-2-1_52LFJ_2019-03-01_final.stac-item
2019-03-02 10:41:43	ga_s2bm_ard_3-2-1_53KRB_2019-03-02_final
2019-04-21 10:46:16	ga_s2bm_ard_3-2-1_53HLE_2019-04-21_final.stac-item
2019-05-15 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-05-15_final.stac-item
2019-05-26 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-26_final.stac-item
2019-05-30 11:10:33	ga_s2bm_ard_3-2-1_52LHN_2019-05-30_final.stac-item
2019-06-04 10:26:55	ga_s2bm_ard_3-2-1_53HQB_2019-06-04_final.stac-item
2019-06-15 11:34:07	ga_s2bm_ard_3-2-1_51KVQ_2019-06-15_final.stac-item
2019-06-22 11:24:02	ga_s2bm_ard_3-2-1_51KYQ_2019-06-22_final.stac-item
2019-07-29 11:13:45	ga_s2bm_ard_3-2-1_52KCA_2019-07-29_final.stac-item
2019-08-06 12:13:47	ga_s2bm_ard_3-2-1_50KKB_2019-08-06_final.stac-item
2019-09-06 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2019-09-06_final.stac-item
2019-09-14 11:02:59	ga_s2bm_ard_3-2-1_52KGC_2019-09-14_final.stac-item
2019-09-20 11:25:38	ga_s2bm_ard_3-2-1_51JXH_2019-09-20_final.stac-item
2019-09-27 11:13:15	ga_s2bm_ard_3-2-1_52KEB_2019-09-27_final.stac-item
2019-11-08 11:55:53	ga_s2bm_ard_3-2-1_50JMN_2019-11-08_final.stac-item
2019-11-22 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2019-11-22_final.stac-item
2019-12-16 11:15:24	ga_s2bm_ard_3-2-1_51JXJ_2019-12-16_final.stac-item
2019-12-22 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2019-12-22_final.stac-item
2020-01-22 11:00:33	ga_s2bm_ard_3-2-1_53LLG_2020-01-22_final.stac-item
2020-03-07 11:56:38	ga_s2bm_ard_3-2-1_50HLK_2020-03-07_final.stac-item
2020-03-16 10:43:50	ga_s2bm_ard_3-2-1_53KNP_2020-03-16_final.stac-item
2020-03-16 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2020-03-16_final.stac-item
2020-04-14 11:10:21	ga_s2bm_ard_3-2-1_52LHN_2020-04-14_final.stac-item
2020-05-07 11:21:36	ga_s2bm_ard_3-2-1_52LBJ_2020-05-07_final.stac-item
2020-05-07 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2020-05-07_final.stac-item
2020-05-29 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2020-05-29_final.stac-item
2020-06-08 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2020-06-08_final.stac-item
2020-06-27 10:50:55	ga_s2bm_ard_3-2-1_53LNF_2020-06-27_final.stac-item
2020-08-10 10:36:25	ga_s2bm_ard_3-2-1_53HND_2020-08-10_final.stac-item
2020-11-25 12:04:07	ga_s2bm_ard_3-2-1_50KMV_2020-11-25_final.stac-item
2020-12-11 10:45:29	ga_s2bm_ard_3-2-1_53JNG_2020-12-11_final.stac-item
2021-01-02 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-01-02_final.stac-item
2021-01-05 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-01-05_final.stac-item
2021-01-07 10:34:13	ga_s2bm_ard_3-2-1_53JRM_2021-01-07_final.stac-item
2021-04-22 11:22:47	ga_s2bm_ard_3-2-1_51KZU_2021-04-22_final.stac-item
2021-07-03 10:26:34	ga_s2bm_ard_3-2-1_53HQC_2021-07-03_final.stac-item
2021-07-14 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2021-07-14_final.stac-item
2021-08-16 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2021-08-16_final.stac-item
2021-09-02 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2021-09-02_final.stac-item
2021-09-12 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2021-09-12_final.stac-item
2021-09-25 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2021-09-25_final.stac-item
2021-10-09 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2021-10-09_final.stac-item
2021-10-14 10:34:48	ga_s2bm_ard_3-2-1_53JQK_2021-10-14_final.stac-item
2021-11-05 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-11-05_final.stac-item
2021-11-08 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2021-11-08_final.stac-item
2021-11-09 10:54:23	ga_s2bm_ard_3-2-1_53JLM_2021-11-09_final.stac-item
2021-11-13 10:35:43	ga_s2bm_ard_3-2-1_53JQF_2021-11-13_final.stac-item
2021-12-15 11:15:30	ga_s2bm_ard_3-2-1_52JBN_2021-12-15_final.stac-item
2022-04-25 10:43:08	ga_s2bm_ard_3-2-1_53KQR_2022-04-25_final.stac-item
2022-04-26 11:57:03	ga_s2bm_ard_3-2-1_50HLH_2022-04-26_final.stac-item
2022-05-22 10:34:13	ga_s2bm_ard_3-2-1_53JNN_2022-05-22_final.stac-item
2022-06-04 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2022-06-04_final.stac-item
2022-07-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-19_final.stac-item
2022-11-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-11-12_final.stac-item
2022-11-14 10:56:06	ga_s2bm_ard_3-2-1_52JEL_2022-11-14_final.stac-item
2022-11-26 11:32:28	ga_s2bm_ard_3-2-1_51KWA_2022-11-26_final.stac-item
2022-12-03 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2022-12-03_final.stac-item
2023-01-22 11:23:33	ga_s2bm_ard_3-2-1_51KZR_2023-01-22_final.stac-item
2023-02-03 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2023-02-03_final.stac-item
2023-02-12 10:51:02	ga_s2bm_ard_3-2-1_53LPE_2023-02-12_final
2023-02-26 10:34:33	ga_s2bm_ard_3-2-1_53JQL_2023-02-26_final
2023-03-31 10:44:24	ga_s2bm_ard_3-2-1_53JNM_2023-03-31_final
2023-06-07 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-06-07_final
2023-06-24 11:35:23	ga_s2bm_ard_3-2-1_51JWJ_2023-06-24_final
2023-07-05 11:05:43	ga_s2bm_ard_3-2-1_52JCN_2023-07-05_final
2023-07-23 12:04:40	ga_s2bm_ard_3-2-1_49KGP_2023-07-23_final
2023-07-31 11:23:12	ga_s2bm_ard_3-2-1_51KZT_2023-07-31_final
2023-09-03 11:04:26	ga_s2bm_ard_3-2-1_52JDT_2023-09-03_final
2023-10-11 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-11_final
2023-11-02 11:03:46	ga_s2bm_ard_3-2-1_52KEV_2023-11-02_final
2023-11-16 10:45:18	ga_s2bm_ard_3-2-1_53JNH_2023-11-16_final
2023-12-14 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2023-12-14_final
2024-01-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-01-16_final
2024-02-03 11:10:44	ga_s2bm_ard_3-2-1_52LFM_2024-02-03_final
2024-03-12 10:34:29	ga_s2bm_ard_3-2-1_53JQL_2024-03-12_final
2024-03-24 11:12:38	ga_s2bm_ard_3-2-1_52KCE_2024-03-24_final
2024-04-03 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2024-04-03_final
2024-04-27 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2024-04-27_final
2024-05-17 10:53:59	ga_s2bm_ard_3-2-1_52KGU_2024-05-17_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

All years