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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49KHS_2017-08-26_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50KRU_2017-08-27_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51JXN_2017-11-22_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-11-25_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50KRC_2017-11-28_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_50JRT_2017-12-02_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JXL_2017-12-09_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51JUM_2017-12-15_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JNS_2017-12-18_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KNV_2017-12-18_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRD_2017-12-25_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_50JRT_2018-10-21_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51JWM_2018-10-28_final
2018-11-23 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2018-11-23_final
2018-11-27 11:37:13	ga_s2bm_ard_3-2-1_50HQG_2018-11-27_final.stac-item
2018-12-04 11:24:50	ga_s2bm_ard_3-2-1_51JXL_2018-12-04_final
2018-12-07 11:34:34	ga_s2bm_ard_3-2-1_51JWM_2018-12-07_final
2018-12-11 11:15:23	ga_s2bm_ard_3-2-1_51JXJ_2018-12-11_final
2018-12-17 11:34:37	ga_s2bm_ard_3-2-1_51JVM_2018-12-17_final
2018-12-17 11:35:13	ga_s2bm_ard_3-2-1_51JWJ_2018-12-17_final
2018-12-19 12:14:13	ga_s2bm_ard_3-2-1_50KKU_2018-12-19_final
2018-12-20 11:43:13	ga_s2bm_ard_3-2-1_50KRC_2018-12-20_final
2018-12-20 11:43:28	ga_s2bm_ard_3-2-1_50KRB_2018-12-20_final
2018-12-20 11:44:05	ga_s2bm_ard_3-2-1_50KPV_2018-12-20_final
2018-12-20 11:44:14	ga_s2bm_ard_3-2-1_50KQU_2018-12-20_final
2018-12-20 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2018-12-20_final
2018-12-21 11:15:25	ga_s2bm_ard_3-2-1_51JXJ_2018-12-21_final
2018-12-21 11:16:03	ga_s2bm_ard_3-2-1_51JYF_2018-12-21_final
2018-12-23 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2018-12-23_final
2019-01-03 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2019-01-03_final
2019-01-03 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2019-01-03_final
2019-01-05 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2019-01-05_final
2019-01-05 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2019-01-05_final
2019-01-06 11:35:06	ga_s2bm_ard_3-2-1_51JWK_2019-01-06_final
2019-01-12 11:53:31	ga_s2bm_ard_3-2-1_50KQB_2019-01-12_final
2019-01-12 11:54:18	ga_s2bm_ard_3-2-1_50KPU_2019-01-12_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-01-29 11:44:45	ga_s2bm_ard_3-2-1_51JTM_2019-01-29_final
2019-01-29 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2019-01-29_final
2019-11-12 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2019-11-12_final.stac-item
2019-11-18 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2019-11-18_final
2019-11-22 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2019-11-22_final
2019-11-25 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2019-11-25_final
2019-12-02 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2019-12-02_final
2020-01-08 11:25:04	ga_s2bm_ard_3-2-1_51JXK_2020-01-08_final
2020-09-30 11:44:30	ga_s2bm_ard_3-2-1_51JUN_2020-09-30_final
2020-10-20 11:43:08	ga_s2bm_ard_3-2-1_50KRD_2020-10-20_final
2020-10-24 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2020-10-24_final
2020-10-26 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2020-10-26_final
2020-10-27 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2020-10-27_final
2020-10-30 11:47:20	ga_s2bm_ard_3-2-1_50HPG_2020-10-30_final.stac-item
2020-11-09 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2020-11-09_final
2020-11-10 11:15:26	ga_s2bm_ard_3-2-1_51JYJ_2020-11-10_final
2020-11-19 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2020-11-19_final
2020-12-12 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2020-12-12_final
2020-12-19 11:43:32	ga_s2bm_ard_3-2-1_50KQB_2020-12-19_final
2020-12-25 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2020-12-25_final
2021-01-18 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2021-01-18_final
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final.stac-item
2021-02-14 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2021-02-14_final
2021-02-20 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2021-02-20_final
2021-03-02 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2021-03-02_final
2021-03-09 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2021-03-09_final
2021-03-12 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2021-03-12_final
2021-05-15 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2021-05-15_final
2021-08-19 11:53:56	ga_s2bm_ard_3-2-1_50KPV_2021-08-19_final
2021-08-26 11:46:24	ga_s2bm_ard_3-2-1_50JML_2021-08-26_final
2021-10-08 11:53:39	ga_s2bm_ard_3-2-1_50KNB_2021-10-08_final
2021-10-08 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-10-08_final
2021-10-15 11:43:49	ga_s2bm_ard_3-2-1_50KRA_2021-10-15_final
2021-10-15 11:44:03	ga_s2bm_ard_3-2-1_50KRV_2021-10-15_final
2021-10-22 11:34:38	ga_s2bm_ard_3-2-1_50JRT_2021-10-22_final
2021-11-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2021-11-14_final
2021-11-24 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2021-11-24_final
2021-12-07 11:53:31	ga_s2bm_ard_3-2-1_50KPB_2021-12-07_final
2021-12-07 11:53:34	ga_s2bm_ard_3-2-1_50KNB_2021-12-07_final
2021-12-07 11:53:51	ga_s2bm_ard_3-2-1_50KMA_2021-12-07_final
2021-12-07 11:54:57	ga_s2bm_ard_3-2-1_50JPR_2021-12-07_final
2021-12-25 11:15:17	ga_s2bm_ard_3-2-1_51JXJ_2021-12-25_final
2021-12-31 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2021-12-31_final
2022-01-07 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2022-01-07_final
2022-02-09 11:34:31	ga_s2bm_ard_3-2-1_50JRT_2022-02-09_final
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_50KRC_2022-02-12_final
2022-02-12 11:44:04	ga_s2bm_ard_3-2-1_50KPV_2022-02-12_final
2022-03-11 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2022-03-11_final.stac-item
2022-08-11 11:46:33	ga_s2bm_ard_3-2-1_50HQK_2022-08-11_final
2022-10-20 11:44:27	ga_s2bm_ard_3-2-1_51JUN_2022-10-20_final.stac-item
2022-11-09 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-11-09_final.stac-item
2022-12-06 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2022-12-06_final.stac-item
2022-12-16 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-12-16_final.stac-item
2023-01-05 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-01-05_final.stac-item
2023-01-08 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2023-01-08_final.stac-item
2023-01-11 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2023-01-11_final.stac-item
2023-01-11 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2023-01-11_final.stac-item
2023-01-22 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2023-01-22_final.stac-item
2023-02-11 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-02-11_final.stac-item
2023-03-06 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2023-03-06_final.stac-item
2023-04-05 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-04-05_final.stac-item
2023-06-17 11:47:29	ga_s2bm_ard_3-2-1_50HMG_2023-06-17_final.stac-item
2023-12-08 11:26:02	ga_s2bm_ard_3-2-1_51JUG_2023-12-08_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