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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KNC_2017-07-11_final.stac-item
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HPH_2017-09-03_final.stac-item
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JNL_2017-11-18_final.stac-item
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2017-11-19_final.stac-item
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51HUC_2017-12-29_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51HUD_2018-05-31_final.stac-item
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_50HQH_2018-06-30_final.stac-item
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50KPC_2018-09-24_final.stac-item
2018-11-20 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2018-11-20_final.stac-item
2018-11-23 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2018-11-23_final.stac-item
2018-12-06 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2018-12-06_final.stac-item
2018-12-10 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2018-12-10_final.stac-item
2018-12-10 11:43:52	ga_s2bm_ard_3-2-1_51KUQ_2018-12-10_final.stac-item
2019-03-20 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2019-03-20_final.stac-item
2019-03-26 12:04:00	ga_s2bm_ard_3-2-1_50KKA_2019-03-26_final.stac-item
2019-04-22 11:53:17	ga_s2bm_ard_3-2-1_50KRC_2019-04-22_final.stac-item
2019-05-03 11:26:44	ga_s2bm_ard_3-2-1_51HXD_2019-05-03_final.stac-item
2019-05-06 11:36:28	ga_s2bm_ard_3-2-1_50JQL_2019-05-06_final.stac-item
2019-06-05 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-06-05_final.stac-item
2019-06-12 11:26:54	ga_s2bm_ard_3-2-1_51HUD_2019-06-12_final.stac-item
2019-08-11 11:26:14	ga_s2bm_ard_3-2-1_51JXF_2019-08-11_final.stac-item
2019-08-14 11:37:04	ga_s2bm_ard_3-2-1_51HUC_2019-08-14_final.stac-item
2019-11-02 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-11-02_final.stac-item
2019-11-05 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2019-11-05_final.stac-item
2019-11-14 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2019-11-14_final.stac-item
2019-11-18 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2019-11-18_final.stac-item
2020-03-27 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2020-03-27_final.stac-item
2020-04-07 11:26:58	ga_s2bm_ard_3-2-1_51HUC_2020-04-07_final.stac-item
2020-04-26 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-04-26_final.stac-item
2020-05-20 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-05-20_final.stac-item
2020-05-29 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2020-05-29_final.stac-item
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final.stac-item
2020-06-01 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-06-01_final.stac-item
2020-06-03 11:15:44	ga_s2bm_ard_3-2-1_51JXH_2020-06-03_final.stac-item
2020-08-01 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2020-08-01_final.stac-item
2020-08-18 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-08-18_final.stac-item
2020-08-27 12:04:35	ga_s2bm_ard_3-2-1_49KGP_2020-08-27_final.stac-item
2020-09-10 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2020-09-10_final.stac-item
2020-09-19 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2020-09-19_final.stac-item
2020-11-15 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2020-11-15_final.stac-item
2021-01-08 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-01-08_final.stac-item
2021-01-31 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-01-31_final.stac-item
2021-02-07 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2021-02-07_final.stac-item
2021-02-13 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2021-02-13_final.stac-item
2021-03-09 11:42:36	ga_s2bm_ard_3-2-1_51KUA_2021-03-09_final.stac-item
2021-04-11 11:56:08	ga_s2bm_ard_3-2-1_50JLM_2021-04-11_final.stac-item
2021-04-27 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-04-27_final.stac-item
2021-05-08 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2021-05-08_final.stac-item
2021-08-06 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2021-08-06_final.stac-item
2021-08-07 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2021-08-07_final.stac-item
2021-09-11 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2021-09-11_final.stac-item
2021-10-25 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2021-10-25_final.stac-item
2021-12-01 11:33:58	ga_s2bm_ard_3-2-1_51KUQ_2021-12-01_final.stac-item
2021-12-03 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2021-12-03_final.stac-item
2021-12-04 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2021-12-04_final.stac-item
2022-02-01 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-01_final.stac-item
2022-02-12 11:46:42	ga_s2bm_ard_3-2-1_50HPJ_2022-02-12_final.stac-item
2022-02-19 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2022-02-19_final.stac-item
2022-03-07 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2022-03-07_final.stac-item
2022-03-08 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2022-03-08_final.stac-item
2022-03-17 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-03-17_final.stac-item
2022-03-31 11:36:43	ga_s2bm_ard_3-2-1_51HTD_2022-03-31_final.stac-item
2022-04-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-04-03_final.stac-item
2022-04-19 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-04-19_final.stac-item
2022-04-22 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2022-04-22_final.stac-item
2022-04-23 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2022-04-23_final.stac-item
2022-04-26 11:55:53	ga_s2bm_ard_3-2-1_50JKN_2022-04-26_final.stac-item
2022-05-03 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-05-03_final.stac-item
2022-05-23 11:46:13	ga_s2bm_ard_3-2-1_50JMM_2022-05-23_final.stac-item
2022-06-01 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-06-01_final.stac-item
2022-06-19 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-06-19_final.stac-item
2022-06-26 11:24:56	ga_s2bm_ard_3-2-1_51JYL_2022-06-26_final.stac-item
2022-07-02 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2022-07-02_final.stac-item
2022-07-02 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-07-02_final.stac-item
2022-07-18 12:05:56	ga_s2bm_ard_3-2-1_50JLN_2022-07-18_final.stac-item
2022-07-29 11:37:02	ga_s2bm_ard_3-2-1_51HUC_2022-07-29_final.stac-item
2022-08-17 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2022-08-17_final.stac-item
2022-09-16 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2022-09-16_final.stac-item
2022-11-12 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2022-11-12_final.stac-item
2022-11-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-11-26_final.stac-item
2022-12-09 11:44:12	ga_s2bm_ard_3-2-1_51KTP_2022-12-09_final.stac-item
2023-01-11 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2023-01-11_final.stac-item
2023-02-04 11:33:45	ga_s2bm_ard_3-2-1_51KUR_2023-02-04_final.stac-item
2023-02-04 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-02-04_final.stac-item
2023-02-07 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2023-02-07_final
2023-02-13 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2023-02-13_final
2023-03-29 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2023-03-29_final
2023-05-11 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-05-11_final
2023-06-03 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-06-03_final
2023-06-07 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2023-06-07_final
2023-07-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-14_final
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final
2023-10-28 11:57:14	ga_s2bm_ard_3-2-1_50HKH_2023-10-28_nrt
2023-11-14 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2023-11-14_final
2023-12-20 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2023-12-20_final
2024-01-03 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2024-01-03_final
2024-01-10 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2024-01-10_final
2024-02-02 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2024-02-02_final
2024-04-09 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2024-04-09_final
2024-05-02 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-05-02_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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