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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVR_2017-09-03_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KVR_2017-11-05_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51JYN_2017-11-06_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_50KKB_2017-11-14_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KUU_2017-11-15_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWM_2017-12-12_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JXN_2017-12-19_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50HLH_2017-12-25_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KUQ_2018-01-01_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KVR_2018-01-01_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUQ_2018-02-13_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KVR_2018-04-04_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNH_2018-04-24_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUP_2018-10-31_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUR_2018-10-31_final
2018-11-07 11:34:12	ga_s2bm_ard_3-2-1_51KVP_2018-11-07_final
2018-11-23 11:54:20	ga_s2bm_ard_3-2-1_50JQT_2018-11-23_final
2018-11-24 11:25:06	ga_s2bm_ard_3-2-1_51JXK_2018-11-24_final
2018-12-11 11:14:17	ga_s2bm_ard_3-2-1_51JZN_2018-12-11_final
2018-12-13 11:53:25	ga_s2bm_ard_3-2-1_50KQB_2018-12-13_final
2018-12-17 11:34:34	ga_s2bm_ard_3-2-1_51JWM_2018-12-17_final
2018-12-19 12:13:49	ga_s2bm_ard_3-2-1_49KHR_2018-12-19_final
2018-12-19 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2018-12-19_final
2018-12-20 11:44:11	ga_s2bm_ard_3-2-1_50KRU_2018-12-20_final
2018-12-20 11:44:11	ga_s2bm_ard_3-2-1_51KTP_2018-12-20_final
2018-12-23 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2018-12-23_final
2018-12-24 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2018-12-24_final
2018-12-30 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2018-12-30_final
2019-01-06 11:34:38	ga_s2bm_ard_3-2-1_51JWM_2019-01-06_final
2019-01-09 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2019-01-09_final
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2019-01-09_final
2019-01-28 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2019-01-28_final
2019-01-29 11:43:33	ga_s2bm_ard_3-2-1_51KTS_2019-01-29_final
2019-04-19 11:42:34	ga_s2bm_ard_3-2-1_51KVA_2019-04-19_final
2019-09-13 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2019-09-13_final
2019-09-26 11:42:16	ga_s2bm_ard_3-2-1_51KUB_2019-09-26_final.stac-item
2019-10-16 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2019-10-16_final
2019-11-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-11-02_final
2019-11-12 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2019-11-12_final
2019-12-05 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-12-05_final
2019-12-12 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2019-12-12_final
2019-12-22 11:34:24	ga_s2bm_ard_3-2-1_51JVN_2019-12-22_final
2020-03-10 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2020-03-10_final
2020-07-19 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-07-19_final
2020-08-11 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-08-11_final
2020-10-30 11:44:16	ga_s2bm_ard_3-2-1_51KUP_2020-10-30_final
2020-11-02 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-11-02_final
2020-11-09 11:44:12	ga_s2bm_ard_3-2-1_50KPV_2020-11-09_final
2020-11-10 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2020-11-10_final
2020-12-13 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2020-12-13_final
2020-12-19 11:43:43	ga_s2bm_ard_3-2-1_51KTR_2020-12-19_final
2020-12-26 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2020-12-26_final
2021-01-22 11:24:32	ga_s2bm_ard_3-2-1_51JZM_2021-01-22_final
2021-01-28 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2021-01-28_final
2021-02-04 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2021-02-04_final
2021-02-14 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-02-14_final
2021-02-14 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2021-02-14_final
2021-02-17 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2021-02-17_final
2021-02-20 11:53:58	ga_s2bm_ard_3-2-1_50KQV_2021-02-20_final
2021-02-27 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2021-02-27_final
2021-03-02 11:53:23	ga_s2bm_ard_3-2-1_50KNC_2021-03-02_final
2021-05-17 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2021-05-17_final
2021-06-07 11:43:23	ga_s2bm_ard_3-2-1_51KUS_2021-06-07_final
2021-06-30 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2021-06-30_final
2021-08-10 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2021-08-10_final
2021-09-01 12:04:40	ga_s2bm_ard_3-2-1_49JGN_2021-09-01_final
2021-09-02 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2021-09-02_final
2021-10-15 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2021-10-15_final
2021-11-10 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2021-11-10_final
2021-11-11 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2021-11-11_final
2021-11-21 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-11-21_final
2021-12-21 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2021-12-21_final
2021-12-24 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2021-12-24_final
2022-01-29 12:05:23	ga_s2bm_ard_3-2-1_49JGK_2022-01-29_final
2022-01-30 11:34:08	ga_s2bm_ard_3-2-1_51KVP_2022-01-30_final
2022-02-12 11:43:12	ga_s2bm_ard_3-2-1_51KTT_2022-02-12_final
2022-08-21 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2022-08-21_final
2022-09-24 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2022-09-24_final.stac-item
2022-11-02 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-11-02_final.stac-item
2022-11-06 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2022-11-06_final.stac-item
2022-11-20 11:14:30	ga_s2bm_ard_3-2-1_51JYN_2022-11-20_final.stac-item
2022-12-16 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2022-12-16_final.stac-item
2022-12-19 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-12-19_final.stac-item
2022-12-23 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2022-12-23_final.stac-item
2023-01-11 11:53:28	ga_s2bm_ard_3-2-1_50KQB_2023-01-11_final.stac-item
2023-01-11 11:53:57	ga_s2bm_ard_3-2-1_50KQV_2023-01-11_final.stac-item
2023-01-18 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2023-01-18_final.stac-item
2023-01-22 11:26:45	ga_s2bm_ard_3-2-1_51HUD_2023-01-22_final.stac-item
2023-02-17 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2023-02-17_final.stac-item
2023-03-09 11:44:09	ga_s2bm_ard_3-2-1_50KQV_2023-03-09_final.stac-item
2023-03-09 11:44:14	ga_s2bm_ard_3-2-1_50KPV_2023-03-09_final.stac-item
2023-04-04 12:03:44	ga_s2bm_ard_3-2-1_50KLB_2023-04-04_final.stac-item
2023-06-18 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-18_final.stac-item
2023-07-27 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-27_final.stac-item
2023-10-02 11:33:46	ga_s2bm_ard_3-2-1_51KVR_2023-10-02_final.stac-item
2023-11-11 11:34:19	ga_s2bm_ard_3-2-1_51KUP_2023-11-11_final.stac-item
2023-11-24 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2023-11-24_final.stac-item
2023-11-27 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2023-11-27_final.stac-item
2023-11-30 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2023-11-30_final.stac-item
2023-12-31 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-12-31_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