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
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KWT_2017-11-02_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-18_final.stac-item
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWU_2017-11-22_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KWB_2017-12-02_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KXQ_2018-01-01_final.stac-item
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KXT_2018-01-01_final.stac-item
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KXU_2018-01-18_final.stac-item
2018-03-01 12:02:40	ga_s2bm_ard_3-2-1_50JKP_2018-03-01_final.stac-item
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KWS_2018-03-02_final.stac-item
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_51KUV_2018-03-15_final.stac-item
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KXT_2018-04-11_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KXT_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMJ_2018-04-24_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-03_final.stac-item
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KUV_2018-09-11_final.stac-item
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVT_2018-10-08_final.stac-item
2018-11-07 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2018-11-07_final.stac-item
2018-11-20 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2018-11-20_final.stac-item
2018-12-17 11:34:05	ga_s2bm_ard_3-2-1_51KWP_2018-12-17_final.stac-item
2018-12-27 11:33:42	ga_s2bm_ard_3-2-1_51KVR_2018-12-27_final.stac-item
2018-12-27 11:34:07	ga_s2bm_ard_3-2-1_51KWP_2018-12-27_final.stac-item
2018-12-30 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2018-12-30_final.stac-item
2019-01-23 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-01-23_final.stac-item
2019-01-29 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2019-01-29_final.stac-item
2019-01-29 11:44:16	ga_s2bm_ard_3-2-1_51KTP_2019-01-29_final.stac-item
2019-02-02 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2019-02-02_final.stac-item
2019-02-12 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-02-12_final.stac-item
2019-03-27 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2019-03-27_final.stac-item
2019-05-26 11:34:08	ga_s2bm_ard_3-2-1_51KVQ_2019-05-26_final.stac-item
2019-08-01 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-08-01_final.stac-item
2019-09-26 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2019-09-26_final.stac-item
2019-10-06 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-10-06_final.stac-item
2019-12-19 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2019-12-19_final.stac-item
2019-12-25 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2019-12-25_final.stac-item
2020-01-01 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2020-01-01_final.stac-item
2020-01-04 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2020-01-04_final.stac-item
2020-01-11 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2020-01-11_final.stac-item
2020-01-24 11:43:13	ga_s2bm_ard_3-2-1_51KTT_2020-01-24_final.stac-item
2020-04-02 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2020-04-02_final.stac-item
2020-06-18 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2020-06-18_final.stac-item
2020-07-26 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-07-26_final.stac-item
2020-09-10 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2020-09-10_final.stac-item
2020-10-11 11:14:45	ga_s2bm_ard_3-2-1_51JYM_2020-10-11_final.stac-item
2020-10-20 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2020-10-20_final.stac-item
2020-11-29 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2020-11-29_final.stac-item
2021-01-18 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2021-01-18_final.stac-item
2021-01-22 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2021-01-22_final.stac-item
2021-03-29 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2021-03-29_final.stac-item
2021-04-08 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-04-08_final.stac-item
2021-04-25 11:33:29	ga_s2bm_ard_3-2-1_51KUS_2021-04-25_final.stac-item
2021-05-14 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-05-14_final.stac-item
2021-06-11 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2021-06-11_final.stac-item
2021-06-24 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2021-06-24_final.stac-item
2021-07-01 11:23:40	ga_s2bm_ard_3-2-1_51KYR_2021-07-01_final.stac-item
2021-07-11 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2021-07-11_final.stac-item
2021-07-30 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-30_final.stac-item
2021-09-11 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-11_final.stac-item
2021-10-02 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-10-02_final.stac-item
2021-11-11 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-11-11_final.stac-item
2021-11-14 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2021-11-14_final.stac-item
2021-12-04 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2021-12-04_final.stac-item
2021-12-31 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2021-12-31_final.stac-item
2022-02-06 11:23:51	ga_s2bm_ard_3-2-1_51KXQ_2022-02-06_final.stac-item
2022-02-22 11:42:40	ga_s2bm_ard_3-2-1_51KUV_2022-02-22_final.stac-item
2022-03-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-03-14_final.stac-item
2022-05-03 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2022-05-03_final.stac-item
2022-07-09 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2022-07-09_final.stac-item
2022-08-15 11:24:18	ga_s2bm_ard_3-2-1_51KWP_2022-08-15_final.stac-item
2022-09-07 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2022-09-07_final.stac-item
2022-09-27 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2022-09-27_final.stac-item
2022-10-07 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2022-10-07_final.stac-item
2022-10-11 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2022-10-11_final.stac-item
2022-11-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2022-11-06_final.stac-item
2022-11-26 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2022-11-26_final.stac-item
2022-12-09 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2022-12-09_final.stac-item
2022-12-16 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2022-12-16_final.stac-item
2022-12-19 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-12-19_final.stac-item
2022-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-19_final.stac-item
2023-01-15 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2023-01-15_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-03-09 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-09_final
2023-07-01 11:24:20	ga_s2bm_ard_3-2-1_51KWP_2023-07-01_final
2023-07-14 11:34:10	ga_s2bm_ard_3-2-1_51KXP_2023-07-14_final
2023-07-17 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-17_final
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final
2023-09-12 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2023-09-12_final
2023-10-22 11:33:18	ga_s2bm_ard_3-2-1_51KVT_2023-10-22_final
2023-11-04 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-11-04_final
2023-12-24 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2023-12-24_final
2023-12-31 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-12-31_final
2024-01-13 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2024-01-13_final
2024-01-17 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2024-01-17_final
2024-01-30 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2024-01-30_final
2024-02-02 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2024-02-02_final
2024-02-05 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2024-02-05_final
2024-03-06 11:53:16	ga_s2bm_ard_3-2-1_50KPC_2024-03-06_final
2024-04-06 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2024-04-06_final
2024-04-12 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2024-04-12_final
2024-04-12 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2024-04-12_final
2024-05-29 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2024-05-29_nrt

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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