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
2017-07-21 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2017-07-21_final
2017-08-07 11:45:07	ga_s2bm_ard_3-2-1_50HNJ_2017-08-07_final
2017-08-23 12:03:44	ga_s2bm_ard_3-2-1_49KHR_2017-08-23_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JFN_2017-09-05_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HPJ_2017-09-16_final
2017-10-22 12:04:28	ga_s2bm_ard_3-2-1_49JGM_2017-10-22_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51JUG_2017-11-12_final
2017-12-12 11:35:52	ga_s2bm_ard_3-2-1_51HTD_2017-12-12_final
2018-01-10 12:02:41	ga_s2bm_ard_3-2-1_50KKA_2018-01-10_final
2018-01-21 11:35:57	ga_s2bm_ard_3-2-1_51HTC_2018-01-21_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KUP_2018-02-10_final
2018-02-22 12:13:13	ga_s2bm_ard_3-2-1_49KGQ_2018-02-22_final
2018-03-04 12:13:52	ga_s2bm_ard_3-2-1_49JGN_2018-03-04_final
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KRC_2018-04-17_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_50HQH_2018-06-20_final
2018-07-19 12:03:30	ga_s2bm_ard_3-2-1_50KKB_2018-07-19_final
2018-11-27 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2018-11-27_final
2019-02-01 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2019-02-01_final
2019-03-16 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2019-03-16_final
2019-04-15 12:03:25	ga_s2bm_ard_3-2-1_50KNC_2019-04-15_final
2019-05-03 11:27:02	ga_s2bm_ard_3-2-1_51HWC_2019-05-03_final.stac-item
2019-05-09 11:44:31	ga_s2bm_ard_3-2-1_50KPU_2019-05-09_final
2019-06-04 12:04:39	ga_s2bm_ard_3-2-1_49KGP_2019-06-04_final
2019-06-05 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-06-05_final
2019-07-22 11:26:58	ga_s2bm_ard_3-2-1_51HUD_2019-07-22_final
2019-07-31 11:55:10	ga_s2bm_ard_3-2-1_50JPR_2019-07-31_final
2019-08-04 11:37:25	ga_s2bm_ard_3-2-1_50HQG_2019-08-04_final.stac-item
2019-08-31 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2019-08-31_final
2019-11-12 11:34:15	ga_s2bm_ard_3-2-1_51JXN_2019-11-12_final
2020-01-13 12:14:03	ga_s2bm_ard_3-2-1_49KHQ_2020-01-13_final
2020-01-31 11:36:53	ga_s2bm_ard_3-2-1_51HTC_2020-01-31_final
2020-03-07 11:52:33	ga_s2bm_ard_3-2-1_50KQF_2020-03-07_final.stac-item
2020-04-02 12:14:53	ga_s2bm_ard_3-2-1_49JGM_2020-04-02_final
2020-04-03 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2020-04-03_final
2020-04-24 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2020-04-24_final
2020-04-24 11:16:20	ga_s2bm_ard_3-2-1_51HXE_2020-04-24_final
2020-05-12 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2020-05-12_final
2020-08-14 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2020-08-14_final
2020-09-01 11:15:42	ga_s2bm_ard_3-2-1_51JYH_2020-09-01_final
2020-09-03 11:56:25	ga_s2bm_ard_3-2-1_50JML_2020-09-03_final
2020-10-27 11:37:30	ga_s2bm_ard_3-2-1_50HNG_2020-10-27_final.stac-item
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final.stac-item
2020-11-06 11:35:05	ga_s2bm_ard_3-2-1_51JVL_2020-11-06_final
2020-11-08 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2020-11-08_final
2020-12-26 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2020-12-26_final
2021-01-15 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2021-01-15_final
2021-01-18 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2021-01-18_final
2021-02-01 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-02-01_final
2021-03-12 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-03-12_final
2021-04-27 12:13:39	ga_s2bm_ard_3-2-1_49KHS_2021-04-27_final.stac-item
2021-05-15 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2021-05-15_final
2021-07-03 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2021-07-03_final
2021-07-14 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2021-07-14_final
2021-07-31 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2021-07-31_final
2021-08-29 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2021-08-29_final
2021-09-02 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2021-09-02_final
2021-09-05 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2021-09-05_final
2021-10-12 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-10-12_final.stac-item
2021-10-31 12:05:49	ga_s2bm_ard_3-2-1_50JKP_2021-10-31_final
2021-11-08 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-11-08_final
2021-11-20 12:04:04	ga_s2bm_ard_3-2-1_50KMV_2021-11-20_final
2022-03-03 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2022-03-03_final
2022-03-24 11:43:16	ga_s2bm_ard_3-2-1_50KRC_2022-03-24_final
2022-06-12 11:44:26	ga_s2bm_ard_3-2-1_50KPU_2022-06-12_final
2022-06-28 12:04:51	ga_s2bm_ard_3-2-1_50JKT_2022-06-28_final
2022-07-12 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2022-07-12_final
2022-08-24 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2022-08-24_final
2022-08-24 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2022-08-24_final
2022-09-26 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-26_final.stac-item
2022-10-27 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-10-27_final.stac-item
2022-11-09 11:43:02	ga_s2bm_ard_3-2-1_51KTU_2022-11-09_final.stac-item
2022-12-19 11:44:30	ga_s2bm_ard_3-2-1_51JTN_2022-12-19_final.stac-item
2023-01-05 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-01-05_final.stac-item
2023-01-07 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2023-01-07_final.stac-item
2023-01-14 12:04:09	ga_s2bm_ard_3-2-1_50KKV_2023-01-14_final.stac-item
2023-02-20 11:55:38	ga_s2bm_ard_3-2-1_50JMP_2023-02-20_final.stac-item
2023-02-23 12:03:56	ga_s2bm_ard_3-2-1_50KLA_2023-02-23_final.stac-item
2023-03-16 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-03-16_final.stac-item
2023-03-25 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-25_final.stac-item
2023-04-11 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2023-04-11_final.stac-item
2023-04-24 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2023-04-24_final.stac-item
2023-04-25 11:34:45	ga_s2bm_ard_3-2-1_51JVM_2023-04-25_final.stac-item
2023-05-07 12:13:57	ga_s2bm_ard_3-2-1_50KKA_2023-05-07_final.stac-item
2023-05-14 12:03:30	ga_s2bm_ard_3-2-1_50KLC_2023-05-14_final.stac-item
2023-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-07_final.stac-item
2023-06-10 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-06-10_final.stac-item
2023-07-01 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-07-01_final.stac-item
2023-07-03 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-03_final.stac-item
2023-07-30 11:53:16	ga_s2bm_ard_3-2-1_50KRC_2023-07-30_final.stac-item
2023-08-06 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-08-06_final.stac-item
2023-09-22 11:37:06	ga_s2bm_ard_3-2-1_50HQH_2023-09-22_final.stac-item
2023-10-19 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2023-10-19_final.stac-item
2023-10-21 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-10-21_final.stac-item
2023-11-04 11:46:25	ga_s2bm_ard_3-2-1_50JNL_2023-11-04_final.stac-item
2023-11-24 11:44:40	ga_s2bm_ard_3-2-1_51JTM_2023-11-24_final.stac-item
2024-01-23 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2024-01-23_final.stac-item
2024-03-02 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2024-03-02_final.stac-item
2024-04-09 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2024-04-09_final.stac-item
2024-04-15 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2024-04-15_final.stac-item
2024-05-05 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2024-05-05_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