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
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JXG_2017-09-30_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVV_2017-12-25_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JYM_2018-01-25_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KTT_2018-02-03_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-02-19_final
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50HPK_2018-02-23_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HXD_2018-05-28_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGN_2018-06-19_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51JTH_2018-06-20_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JNN_2018-07-03_final
2018-07-19 12:02:47	ga_s2bm_ard_3-2-1_50KMC_2018-07-19_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50KKB_2018-07-29_final
2018-11-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2018-11-06_final
2018-11-10 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2018-11-10_final
2018-12-26 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2018-12-26_final
2019-01-09 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2019-01-09_final
2019-01-19 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2019-01-19_final
2019-02-27 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2019-02-27_final
2019-02-28 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2019-02-28_final
2019-02-28 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2019-02-28_final.stac-item
2019-04-19 11:46:25	ga_s2bm_ard_3-2-1_50JPL_2019-04-19_final
2019-05-19 11:46:58	ga_s2bm_ard_3-2-1_50HPJ_2019-05-19_final
2019-05-29 11:42:30	ga_s2bm_ard_3-2-1_51KWA_2019-05-29_final
2019-06-11 11:56:15	ga_s2bm_ard_3-2-1_50JMM_2019-06-11_final
2019-06-15 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-06-15_final
2019-06-18 11:47:32	ga_s2bm_ard_3-2-1_50HMG_2019-06-18_final.stac-item
2019-06-24 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2019-06-24_final
2019-07-08 11:46:52	ga_s2bm_ard_3-2-1_50HQJ_2019-07-08_final
2019-07-11 11:54:28	ga_s2bm_ard_3-2-1_50KPU_2019-07-11_final
2019-08-23 12:04:15	ga_s2bm_ard_3-2-1_50KLV_2019-08-23_final
2019-09-13 11:35:45	ga_s2bm_ard_3-2-1_51JUH_2019-09-13_final
2019-09-23 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2019-09-23_final
2019-11-15 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2019-11-15_final
2019-11-22 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2019-11-22_final
2019-12-08 11:55:50	ga_s2bm_ard_3-2-1_50JLN_2019-12-08_final
2019-12-12 11:36:57	ga_s2bm_ard_3-2-1_50HQH_2019-12-12_final
2020-01-07 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2020-01-07_final
2020-03-14 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-03-14_final
2020-03-31 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2020-03-31_final
2020-04-16 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2020-04-16_final
2020-05-06 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-05-06_final
2020-05-06 11:56:48	ga_s2bm_ard_3-2-1_50HMJ_2020-05-06_final
2020-05-13 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2020-05-13_final.stac-item
2020-07-19 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2020-07-19_final
2020-07-22 11:44:00	ga_s2bm_ard_3-2-1_51KUQ_2020-07-22_final
2020-07-31 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2020-07-31_final
2020-08-04 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-08-04_final
2020-08-05 11:25:09	ga_s2bm_ard_3-2-1_51JYK_2020-08-05_final
2020-09-30 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2020-09-30_final
2020-12-12 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-12-12_final.stac-item
2020-12-22 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2020-12-22_final
2021-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2021-01-04_final
2021-01-18 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2021-01-18_final
2021-01-24 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2021-01-24_final
2021-03-03 11:24:58	ga_s2bm_ard_3-2-1_51JWL_2021-03-03_final
2021-03-15 12:05:51	ga_s2bm_ard_3-2-1_50JLN_2021-03-15_final
2021-05-12 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2021-05-12_final
2021-05-12 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-05-12_final
2021-07-04 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-07-04_final
2021-08-03 11:33:03	ga_s2bm_ard_3-2-1_51KVU_2021-08-03_final
2021-08-06 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2021-08-06_final
2021-10-02 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2021-10-02_final
2021-11-08 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2021-11-08_final
2021-11-14 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2021-11-14_final
2021-12-20 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2021-12-20_final
2021-12-27 11:53:13	ga_s2bm_ard_3-2-1_50KQC_2021-12-27_final
2022-01-06 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2022-01-06_final
2022-01-10 11:32:25	ga_s2bm_ard_3-2-1_51KWA_2022-01-10_final
2022-01-17 11:26:50	ga_s2bm_ard_3-2-1_51HWC_2022-01-17_final.stac-item
2022-01-19 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2022-01-19_final
2022-01-26 11:56:34	ga_s2bm_ard_3-2-1_50HLK_2022-01-26_final
2022-02-05 11:56:49	ga_s2bm_ard_3-2-1_50HLJ_2022-02-05_final
2022-02-11 12:13:52	ga_s2bm_ard_3-2-1_49KGR_2022-02-11_final
2022-03-14 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2022-03-14_final
2022-06-05 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2022-06-05_final
2022-09-30 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-09-30_final.stac-item
2022-10-21 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2022-10-21_final.stac-item
2022-11-16 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-11-16_final.stac-item
2022-12-02 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-12-02_final.stac-item
2023-01-02 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2023-01-02_final.stac-item
2023-02-17 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2023-02-17_final.stac-item
2023-03-29 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-03-29_final.stac-item
2023-05-04 12:05:32	ga_s2bm_ard_3-2-1_49JGK_2023-05-04_final.stac-item
2023-05-19 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2023-05-19_final.stac-item
2023-05-25 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-05-25_final.stac-item
2023-05-25 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-05-25_final.stac-item
2023-06-04 11:34:29	ga_s2bm_ard_3-2-1_51JWN_2023-06-04_final.stac-item
2023-06-04 11:36:32	ga_s2bm_ard_3-2-1_51HUE_2023-06-04_final.stac-item
2023-06-24 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-06-24_final.stac-item
2023-06-27 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2023-06-27_final.stac-item
2023-07-14 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-07-14_final.stac-item
2023-09-14 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-09-14_final.stac-item
2023-09-19 11:26:51	ga_s2bm_ard_3-2-1_51HUD_2023-09-19_final.stac-item
2023-09-25 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2023-09-25_final.stac-item
2023-10-12 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2023-10-12_final.stac-item
2023-10-28 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-10-28_final.stac-item
2023-10-29 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-10-29_final.stac-item
2023-12-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-12-13_final.stac-item
2023-12-21 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2023-12-21_final.stac-item
2024-01-03 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2024-01-03_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