Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51HUC_2017-12-19_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KWP_2017-12-29_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KUU_2018-01-04_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JTG_2018-02-20_final
2018-04-11 11:30:56	ga_s2bm_ard_3-2-1_51KVS_2018-04-11_final
2018-04-15 11:13:22	ga_s2bm_ard_3-2-1_52JCL_2018-04-15_final
2018-06-08 10:54:57	ga_s2bm_ard_3-2-1_52JFP_2018-06-08_final
2018-08-20 10:59:01	ga_s2bm_ard_3-2-1_52JFR_2018-08-20_final
2018-10-17 12:02:46	ga_s2bm_ard_3-2-1_50KNC_2018-10-17_final
2018-11-10 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2018-11-10_final
2019-01-20 11:11:12	ga_s2bm_ard_3-2-1_52LGK_2019-01-20_final
2019-01-27 11:00:45	ga_s2bm_ard_3-2-1_52LHM_2019-01-27_final
2019-04-09 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2019-04-09_final
2019-05-03 11:23:00	ga_s2bm_ard_3-2-1_51KZU_2019-05-03_final
2019-05-26 11:34:05	ga_s2bm_ard_3-2-1_51KWQ_2019-05-26_final
2019-06-08 11:44:53	ga_s2bm_ard_3-2-1_50JRS_2019-06-08_final
2019-06-19 11:13:19	ga_s2bm_ard_3-2-1_52KCC_2019-06-19_final
2019-07-04 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-07-04_final
2019-07-24 12:04:33	ga_s2bm_ard_3-2-1_50KLU_2019-07-24_final
2019-07-26 11:06:08	ga_s2bm_ard_3-2-1_52JEL_2019-07-26_final
2019-08-10 11:56:00	ga_s2bm_ard_3-2-1_50JMN_2019-08-10_final
2019-08-18 11:13:31	ga_s2bm_ard_3-2-1_52KBB_2019-08-18_final
2019-08-20 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2019-08-20_final.stac-item
2019-09-24 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2019-09-24_final
2019-11-09 11:23:13	ga_s2bm_ard_3-2-1_51KXT_2019-11-09_final
2019-11-22 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2019-11-22_final
2020-01-05 11:10:32	ga_s2bm_ard_3-2-1_52LHM_2020-01-05_final
2020-01-08 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2020-01-08_final
2020-02-14 11:13:00	ga_s2bm_ard_3-2-1_52KDC_2020-02-14_final
2020-03-01 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2020-03-01_final
2020-03-02 11:02:09	ga_s2bm_ard_3-2-1_52KHF_2020-03-02_final
2020-03-10 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2020-03-10_final
2020-03-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2020-03-17_final
2020-03-25 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2020-03-25_final
2020-05-17 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2020-05-17_final
2020-05-26 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2020-05-26_final
2020-06-22 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2020-06-22_final
2020-10-08 11:01:08	ga_s2bm_ard_3-2-1_52LGL_2020-10-08_final
2020-10-18 11:03:20	ga_s2bm_ard_3-2-1_52KFB_2020-10-18_final
2020-11-18 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2020-11-18_final
2020-12-06 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2020-12-06_final
2021-01-02 11:24:28	ga_s2bm_ard_3-2-1_51JWN_2021-01-02_final
2021-02-01 11:21:38	ga_s2bm_ard_3-2-1_52LBJ_2021-02-01_final
2021-02-01 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2021-02-01_final
2021-03-03 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2021-03-03_final
2021-03-03 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2021-03-03_final
2021-04-13 10:53:53	ga_s2bm_ard_3-2-1_52KHU_2021-04-13_final
2021-04-16 11:02:54	ga_s2bm_ard_3-2-1_52KGC_2021-04-16_final
2021-05-09 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2021-05-09_final
2021-06-14 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2021-06-14_final
2021-07-20 11:57:08	ga_s2bm_ard_3-2-1_50HMH_2021-07-20_final
2021-08-17 11:13:44	ga_s2bm_ard_3-2-1_52KEV_2021-08-17_final
2021-09-08 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2021-09-08_final
2021-09-19 11:26:33	ga_s2bm_ard_3-2-1_51HXD_2021-09-19_final
2021-09-22 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2021-09-22_final
2021-09-27 10:46:23	ga_s2bm_ard_3-2-1_53HLD_2021-09-27_final
2021-12-11 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2021-12-11_final
2022-01-17 11:21:30	ga_s2bm_ard_3-2-1_51LZD_2022-01-17_final
2022-02-22 11:44:18	ga_s2bm_ard_3-2-1_50KPU_2022-02-22_final
2022-03-08 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2022-03-08_final
2022-03-11 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-03-11_final
2022-04-26 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2022-04-26_final
2022-05-25 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2022-05-25_final
2022-05-27 11:24:04	ga_s2bm_ard_3-2-1_52KBU_2022-05-27_final
2022-10-14 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2022-10-14_final.stac-item
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-11-16 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2022-11-16_final.stac-item
2022-11-20 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2022-11-20_final.stac-item
2022-12-14 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2022-12-14_final.stac-item
2023-01-06 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2023-01-06_final.stac-item
2023-01-19 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2023-01-19_final.stac-item
2023-01-22 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2023-01-22_final.stac-item
2023-01-25 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2023-01-25_final.stac-item
2023-01-28 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2023-01-28_final.stac-item
2023-01-28 13:21:42	ga_s2bm_ard_3-2-1_46LHM_2023-01-28_interim.stac-item
2023-01-29 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2023-01-29_final.stac-item
2023-02-13 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2023-02-13_final.stac-item
2023-02-18 11:13:03	ga_s2bm_ard_3-2-1_52KDC_2023-02-18_final.stac-item
2023-02-21 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-02-21_final.stac-item
2023-04-12 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2023-04-12_final.stac-item
2023-04-22 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-04-22_final.stac-item
2023-04-22 11:23:27	ga_s2bm_ard_3-2-1_51KYS_2023-04-22_final.stac-item
2023-05-12 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-05-12_final.stac-item
2023-06-17 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2023-06-17_final.stac-item
2023-06-20 11:56:12	ga_s2bm_ard_3-2-1_50JMM_2023-06-20_final.stac-item
2023-06-24 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-06-24_final.stac-item
2023-08-03 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2023-08-03_final.stac-item
2023-09-15 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-09-15_final.stac-item
2023-11-07 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-11-07_final.stac-item
2023-12-25 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-12-25_nrt.stac-item
2024-01-01 11:03:18	ga_s2bm_ard_3-2-1_52KHA_2024-01-01_final.stac-item
2024-01-07 11:22:52	ga_s2bm_ard_3-2-1_51KZU_2024-01-07_final.stac-item
2024-01-24 11:14:08	ga_s2bm_ard_3-2-1_52KBU_2024-01-24_final.stac-item
2024-02-06 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2024-02-06_final.stac-item
2024-02-13 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-13_final.stac-item
2024-03-07 11:23:01	ga_s2bm_ard_3-2-1_51KZT_2024-03-07_final.stac-item
2024-03-10 11:32:07	ga_s2bm_ard_3-2-1_51KXB_2024-03-10_final.stac-item
2024-04-03 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2024-04-03_final.stac-item
2024-05-02 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2024-05-02_final.stac-item
2024-05-11 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2024-05-11_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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