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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50JLN_2017-07-11_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49KGP_2017-09-15_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_49KHP_2017-10-12_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KYU_2017-11-22_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KWP_2017-12-09_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KWP_2018-01-18_final
2018-01-30 12:02:42	ga_s2bm_ard_3-2-1_50KKA_2018-01-30_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KYR_2018-03-19_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-06-17 11:25:19	ga_s2bm_ard_3-2-1_51HUC_2018-06-17_final
2018-06-20 11:26:19	ga_s2bm_ard_3-2-1_51KVV_2018-06-20_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51JVJ_2018-07-07_final
2018-07-17 11:21:53	ga_s2bm_ard_3-2-1_51KZQ_2018-07-17_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KYA_2018-08-26_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUR_2018-09-01_final
2018-09-05 11:21:46	ga_s2bm_ard_3-2-1_51HUC_2018-09-05_final
2018-09-18 11:33:03	ga_s2bm_ard_3-2-1_51JVG_2018-09-18_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNH_2018-09-21_final
2018-10-01 11:38:19	ga_s2bm_ard_3-2-1_50KQC_2018-10-01_final
2018-11-07 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2018-11-07_final
2018-11-24 11:24:05	ga_s2bm_ard_3-2-1_51KYP_2018-11-24_final
2018-12-31 11:14:35	ga_s2bm_ard_3-2-1_51JZM_2018-12-31_final
2019-01-16 11:34:57	ga_s2bm_ard_3-2-1_51JVL_2019-01-16_final
2019-02-05 11:33:02	ga_s2bm_ard_3-2-1_51KYT_2019-02-05_final
2019-02-15 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-02-15_final
2019-03-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2019-03-09_final
2019-04-26 11:32:46	ga_s2bm_ard_3-2-1_51KXV_2019-04-26_final
2019-05-22 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-05-22_final.stac-item
2019-05-29 11:42:22	ga_s2bm_ard_3-2-1_51KVB_2019-05-29_final
2019-09-19 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2019-09-19_final
2019-09-22 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2019-09-22_final
2019-10-22 12:05:45	ga_s2bm_ard_3-2-1_49JGJ_2019-10-22_final
2019-11-11 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2019-11-11_final
2019-11-25 11:42:18	ga_s2bm_ard_3-2-1_51KWA_2019-11-25_final
2019-12-15 11:46:24	ga_s2bm_ard_3-2-1_50HQK_2019-12-15_final
2019-12-18 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2019-12-18_final.stac-item
2020-02-09 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-02-09_final
2020-04-30 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2020-04-30_final
2020-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2020-05-26_final
2020-06-06 11:23:46	ga_s2bm_ard_3-2-1_51KZR_2020-06-06_final
2020-06-08 12:03:25	ga_s2bm_ard_3-2-1_50KMC_2020-06-08_final
2020-06-09 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2020-06-09_final
2020-06-15 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2020-06-15_final
2020-06-22 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-06-22_final
2020-06-28 12:04:45	ga_s2bm_ard_3-2-1_50JKT_2020-06-28_final
2020-08-21 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-21_final
2020-09-03 11:55:56	ga_s2bm_ard_3-2-1_50JMN_2020-09-03_final
2020-09-07 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-09-07_final
2020-09-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-09-30_final
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2020-10-09_final
2021-04-15 11:36:48	ga_s2bm_ard_3-2-1_50HPJ_2021-04-15_final
2021-05-28 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2021-05-28_final
2021-06-30 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2021-06-30_final.stac-item
2021-08-23 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-08-23_final
2021-08-29 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2021-08-29_final
2021-09-02 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2021-09-02_final
2021-09-05 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2021-09-05_final
2021-09-12 11:32:08	ga_s2bm_ard_3-2-1_51KXB_2021-09-12_final
2021-10-02 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2021-10-02_final
2021-10-09 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2021-10-09_final
2021-10-12 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-12_final
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final
2021-12-11 11:32:38	ga_s2bm_ard_3-2-1_51KWV_2021-12-11_final
2021-12-17 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2021-12-17_final
2022-01-23 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2022-01-23_final
2022-01-26 11:53:11	ga_s2bm_ard_3-2-1_50KQC_2022-01-26_final
2022-03-28 11:25:36	ga_s2bm_ard_3-2-1_51JXH_2022-03-28_final
2022-04-14 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-04-14_final
2022-06-12 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2022-06-12_final
2022-07-05 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2022-07-05_final
2022-07-19 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2022-07-19_final
2022-08-01 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2022-08-01_final.stac-item
2022-08-05 11:27:06	ga_s2bm_ard_3-2-1_51HUC_2022-08-05_final
2022-08-22 11:16:09	ga_s2bm_ard_3-2-1_51JYF_2022-08-22_final
2022-09-06 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2022-09-06_final.stac-item
2022-09-14 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2022-09-14_final.stac-item
2022-10-04 11:24:06	ga_s2bm_ard_3-2-1_51KYP_2022-10-04_final.stac-item
2022-10-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-10-06_final.stac-item
2022-10-16 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-10-16_final.stac-item
2022-10-27 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-10-27_final.stac-item
2022-11-09 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-11-09_final.stac-item
2022-11-22 13:31:33	ga_s2bm_ard_3-2-1_47LKH_2022-11-22_interim.stac-item
2022-12-12 11:53:18	ga_s2bm_ard_3-2-1_50KPC_2022-12-12_final.stac-item
2023-01-12 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2023-01-12_final.stac-item
2023-02-01 11:22:06	ga_s2bm_ard_3-2-1_51KZB_2023-02-01_final.stac-item
2023-02-10 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2023-02-10_final.stac-item
2023-02-27 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2023-02-27_final.stac-item
2023-03-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-08_final.stac-item
2023-03-19 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-03-19_final.stac-item
2023-05-02 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-05-02_final.stac-item
2023-05-28 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-05-28_final.stac-item
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-07_final.stac-item
2023-08-03 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-08-03_final.stac-item
2023-08-20 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2023-08-20_final.stac-item
2023-10-21 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2023-10-21_final.stac-item
2023-10-29 11:26:49	ga_s2bm_ard_3-2-1_51HUD_2023-10-29_final.stac-item
2023-11-21 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2023-11-21_final.stac-item
2024-01-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-01-19_final.stac-item
2024-04-08 12:04:30	ga_s2bm_ard_3-2-1_50KLU_2024-04-08_final.stac-item
2024-04-19 11:32:00	ga_s2bm_ard_3-2-1_51KZB_2024-04-19_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