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
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KUS_2017-07-25_final
2017-07-27 12:14:41	ga_s2bm_ard_3-2-1_49JGM_2017-07-27_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HNJ_2017-09-16_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51HUD_2017-12-09_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KVA_2018-01-04_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51HTD_2018-01-11_final
2018-03-11 12:02:40	ga_s2bm_ard_3-2-1_50KKB_2018-03-11_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51JXN_2018-03-22_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKN_2018-04-17_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KTU_2018-04-24_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUS_2018-05-04_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUS_2018-06-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50HPH_2018-07-03_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JML_2018-07-03_final
2018-07-09 12:03:10	ga_s2bm_ard_3-2-1_49JGJ_2018-07-09_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JPL_2018-07-13_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_50JQP_2018-07-23_final
2018-07-26 11:46:09	ga_s2bm_ard_3-2-1_50KQG_2018-07-26_final.stac-item
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HPK_2018-08-22_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KRC_2018-10-04_final
2018-12-03 11:52:33	ga_s2bm_ard_3-2-1_50KPF_2018-12-03_final.stac-item
2019-01-22 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2019-01-22_final
2019-03-13 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2019-03-13_final
2019-03-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2019-03-26_final
2019-06-08 11:42:21	ga_s2bm_ard_3-2-1_51KVB_2019-06-08_final
2019-06-18 11:43:08	ga_s2bm_ard_3-2-1_51KUU_2019-06-18_final
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-09-16 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-09-16_final
2019-10-06 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2019-10-06_final
2019-10-16 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2019-10-16_final
2019-11-12 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2019-11-12_final.stac-item
2019-12-08 11:52:14	ga_s2bm_ard_3-2-1_50KQG_2019-12-08_final.stac-item
2019-12-15 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2019-12-15_final
2019-12-15 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2019-12-15_final
2020-01-11 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2020-01-11_final
2020-01-18 11:25:22	ga_s2bm_ard_3-2-1_51JWJ_2020-01-18_final
2020-02-06 11:53:18	ga_s2bm_ard_3-2-1_50KNC_2020-02-06_final
2020-02-07 11:24:31	ga_s2bm_ard_3-2-1_51JYM_2020-02-07_final
2020-02-19 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-02-19_final
2020-02-23 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2020-02-23_final
2020-03-21 11:36:50	ga_s2bm_ard_3-2-1_50HPJ_2020-03-21_final
2020-04-07 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2020-04-07_final
2020-05-27 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2020-05-27_final
2020-06-02 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2020-06-02_final
2020-06-23 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2020-06-23_final
2020-09-19 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-09-19_final
2020-10-10 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2020-10-10_final
2020-10-20 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2020-10-20_final
2020-11-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2020-11-29_final
2020-12-06 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2020-12-06_final
2021-02-26 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2021-02-26_final
2021-03-03 11:24:25	ga_s2bm_ard_3-2-1_51JXN_2021-03-03_final
2021-03-03 11:25:33	ga_s2bm_ard_3-2-1_51JYH_2021-03-03_final
2021-03-05 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2021-03-05_final
2021-04-02 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2021-04-02_final
2021-04-11 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2021-04-11_final
2021-04-29 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2021-04-29_final
2021-05-11 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-05-11_final.stac-item
2021-05-28 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2021-05-28_final
2021-06-11 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2021-06-11_final
2021-08-25 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2021-08-25_final
2021-09-01 12:04:18	ga_s2bm_ard_3-2-1_49KHQ_2021-09-01_final
2021-09-12 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-09-12_final
2021-10-31 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2021-10-31_final
2021-11-08 11:25:24	ga_s2bm_ard_3-2-1_51JXJ_2021-11-08_final
2021-11-17 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2021-11-17_final.stac-item
2022-02-05 11:53:25	ga_s2bm_ard_3-2-1_50KMC_2022-02-05_final
2022-02-08 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-08_final
2022-02-12 11:46:53	ga_s2bm_ard_3-2-1_50HPH_2022-02-12_final
2022-03-04 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2022-03-04_final
2022-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2022-03-07_final
2022-03-14 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2022-03-14_final
2022-03-15 11:14:54	ga_s2bm_ard_3-2-1_51JYL_2022-03-15_final
2022-04-03 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-04-03_final
2022-06-02 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2022-06-02_final.stac-item
2022-08-28 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2022-08-28_final
2022-10-06 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2022-10-06_final.stac-item
2022-12-02 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2022-12-02_final.stac-item
2022-12-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-12-26_final.stac-item
2022-12-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-12-28_final.stac-item
2023-01-01 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2023-01-01_final.stac-item
2023-01-27 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-01-27_final.stac-item
2023-02-14 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2023-02-14_final.stac-item
2023-03-09 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2023-03-09_final.stac-item
2023-03-20 11:16:26	ga_s2bm_ard_3-2-1_51HYE_2023-03-20_final.stac-item
2023-05-28 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-05-28_final.stac-item
2023-07-04 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-07-04_final.stac-item
2023-07-21 11:25:26	ga_s2bm_ard_3-2-1_51JYJ_2023-07-21_final.stac-item
2023-08-16 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2023-08-16_final.stac-item
2023-10-01 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-01_final.stac-item
2023-10-05 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2023-10-05_final.stac-item
2023-10-15 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-10-15_final.stac-item
2023-10-22 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2023-10-22_final.stac-item
2023-12-07 11:53:14	ga_s2bm_ard_3-2-1_50KQC_2023-12-07_final.stac-item
2023-12-17 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2023-12-17_final.stac-item
2024-03-03 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2024-03-03_final.stac-item
2024-03-03 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2024-03-03_final.stac-item
2024-03-19 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2024-03-19_final.stac-item
2024-04-09 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2024-04-09_final.stac-item
2024-05-12 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2024-05-12_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

All years