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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2017-07-05_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-15_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KTU_2018-02-03_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_50KKA_2018-03-14_final
2018-04-10 12:02:47	ga_s2bm_ard_3-2-1_50KKB_2018-04-10_final
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_49KHP_2018-04-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQL_2018-07-03_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HXD_2018-07-04_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQG_2018-07-06_final.stac-item
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_51JXF_2018-07-14_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KWP_2018-08-06_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KVU_2018-08-09_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51JVG_2018-09-28_final
2018-10-10 12:13:17	ga_s2bm_ard_3-2-1_49KHR_2018-10-10_final
2019-03-24 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2019-03-24_final
2019-04-02 11:55:49	ga_s2bm_ard_3-2-1_50JKP_2019-04-02_final
2019-04-16 11:32:20	ga_s2bm_ard_3-2-1_51KWB_2019-04-16_final
2019-04-26 11:34:21	ga_s2bm_ard_3-2-1_51KVP_2019-04-26_final
2019-04-30 11:16:48	ga_s2bm_ard_3-2-1_51HXD_2019-04-30_final
2019-05-10 11:15:33	ga_s2bm_ard_3-2-1_51JYJ_2019-05-10_final
2019-05-19 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-05-19_final
2019-07-12 11:24:31	ga_s2bm_ard_3-2-1_51JYN_2019-07-12_final
2019-08-17 11:42:52	ga_s2bm_ard_3-2-1_51KUV_2019-08-17_final
2019-09-16 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-09-16_final
2019-10-03 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-10-03_final
2019-11-02 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2019-11-02_final
2019-11-05 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-11-05_final
2019-11-05 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-11-05_final
2019-12-15 11:42:51	ga_s2bm_ard_3-2-1_51KVU_2019-12-15_final
2019-12-18 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2019-12-18_final.stac-item
2020-01-01 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-01_final
2020-02-20 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2020-02-20_final
2020-02-29 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2020-02-29_final
2020-03-17 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2020-03-17_final
2020-04-07 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2020-04-07_final
2020-05-03 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2020-05-03_final
2020-06-02 11:42:18	ga_s2bm_ard_3-2-1_51KUB_2020-06-02_final.stac-item
2020-06-08 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2020-06-08_final
2020-07-02 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2020-07-02_final
2020-08-04 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2020-08-04_final
2020-11-15 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2020-11-15_final
2020-11-16 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2020-11-16_final
2020-12-12 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-12-12_final.stac-item
2021-01-31 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-01-31_final
2021-02-14 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2021-02-14_final
2021-02-17 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2021-02-17_final
2021-03-06 11:33:16	ga_s2bm_ard_3-2-1_51KVT_2021-03-06_final
2021-03-12 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-03-12_final
2021-03-25 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-03-25_final
2021-04-24 12:05:38	ga_s2bm_ard_3-2-1_49JGJ_2021-04-24_final
2021-05-27 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-05-27_final
2021-06-14 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2021-06-14_final
2021-06-24 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2021-06-24_final
2021-06-26 12:14:57	ga_s2bm_ard_3-2-1_49JGM_2021-06-26_final
2021-07-07 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2021-07-07_final
2021-09-12 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2021-09-12_final
2021-10-05 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-10-05_final
2021-10-19 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-10-19_final
2021-10-31 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-31_final
2021-11-08 11:24:18	ga_s2bm_ard_3-2-1_51JZN_2021-11-08_final
2021-11-20 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-11-20_final
2021-11-28 11:26:54	ga_s2bm_ard_3-2-1_51HVC_2021-11-28_final
2021-12-31 11:34:06	ga_s2bm_ard_3-2-1_51KWP_2021-12-31_final
2022-01-27 11:25:03	ga_s2bm_ard_3-2-1_51JXK_2022-01-27_final
2022-02-18 12:03:52	ga_s2bm_ard_3-2-1_50KKA_2022-02-18_final
2022-02-18 12:05:34	ga_s2bm_ard_3-2-1_50JKP_2022-02-18_final
2022-03-11 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-03-11_final
2022-03-28 11:24:29	ga_s2bm_ard_3-2-1_51JZM_2022-03-28_final
2022-04-03 11:43:08	ga_s2bm_ard_3-2-1_50KRC_2022-04-03_final
2022-05-03 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-05-03_final
2022-05-20 11:36:48	ga_s2bm_ard_3-2-1_50HQJ_2022-05-20_final
2022-05-29 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2022-05-29_final
2022-05-30 11:36:52	ga_s2bm_ard_3-2-1_50HPJ_2022-05-30_final
2022-06-09 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2022-06-09_final
2022-06-22 11:43:26	ga_s2bm_ard_3-2-1_50KQC_2022-06-22_final
2022-06-22 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-06-22_final
2022-08-14 11:52:23	ga_s2bm_ard_3-2-1_50KQG_2022-08-14_final.stac-item
2022-08-21 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2022-08-21_final
2022-08-22 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2022-08-22_final
2022-08-28 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2022-08-28_final
2022-09-10 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-09-10_final.stac-item
2022-11-29 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-11-29_final.stac-item
2022-12-29 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2022-12-29_final.stac-item
2023-01-15 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2023-01-15_final.stac-item
2023-02-11 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2023-02-11_final.stac-item
2023-02-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2023-02-27_final.stac-item
2023-03-15 12:05:05	ga_s2bm_ard_3-2-1_49JGM_2023-03-15_final.stac-item
2023-04-08 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-08_final.stac-item
2023-05-05 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2023-05-05_final.stac-item
2023-05-24 12:05:31	ga_s2bm_ard_3-2-1_50JKQ_2023-05-24_final.stac-item
2023-07-07 11:46:43	ga_s2bm_ard_3-2-1_50HNK_2023-07-07_final.stac-item
2023-07-10 11:53:22	ga_s2bm_ard_3-2-1_50KQC_2023-07-10_final.stac-item
2023-09-05 11:43:13	ga_s2bm_ard_3-2-1_51KTU_2023-09-05_final.stac-item
2023-09-05 11:43:29	ga_s2bm_ard_3-2-1_51KVS_2023-09-05_final.stac-item
2023-12-31 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2023-12-31_final.stac-item
2024-01-22 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2024-01-22_final.stac-item
2024-01-27 11:25:32	ga_s2bm_ard_3-2-1_51JYH_2024-01-27_final.stac-item
2024-01-30 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2024-01-30_final.stac-item
2024-01-30 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2024-01-30_final.stac-item
2024-02-02 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2024-02-02_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