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
2017-08-15 11:02:08	ga_s2bm_ard_3-2-1_52KFC_2017-08-15_final
2017-09-08 10:41:55	ga_s2bm_ard_3-2-1_53KPA_2017-09-08_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HMK_2017-10-26_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52JBT_2017-11-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KWV_2017-12-12_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KYT_2018-01-01_final
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50KMC_2018-01-20_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51LVC_2018-02-03_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52KBE_2018-03-19_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_52KCC_2018-03-29_final
2018-05-10 12:05:05	ga_s2bm_ard_3-2-1_50JKN_2018-05-10_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JLT_2018-06-19_final
2018-06-29 12:02:48	ga_s2bm_ard_3-2-1_50KKV_2018-06-29_final
2018-07-25 10:41:04	ga_s2bm_ard_3-2-1_53JMF_2018-07-25_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_52LDJ_2018-07-27_final
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUU_2018-09-01_final
2018-09-30 10:31:00	ga_s2bm_ard_3-2-1_53JPH_2018-09-30_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_51KUR_2018-10-11_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_52LGM_2018-11-01_final
2018-11-11 11:16:24	ga_s2bm_ard_3-2-1_51HXE_2018-11-11_final
2018-11-29 12:14:52	ga_s2bm_ard_3-2-1_49JGM_2018-11-29_final
2018-12-01 11:13:11	ga_s2bm_ard_3-2-1_52KEB_2018-12-01_final
2019-01-29 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-01-29_final
2019-02-16 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2019-02-16_final
2019-03-03 11:56:20	ga_s2bm_ard_3-2-1_50JML_2019-03-03_final
2019-03-29 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2019-03-29_final
2019-04-15 12:05:43	ga_s2bm_ard_3-2-1_50JLP_2019-04-15_final
2019-04-21 10:42:24	ga_s2bm_ard_3-2-1_53KQV_2019-04-21_final
2019-05-15 10:23:59	ga_s2bm_ard_3-2-1_53KRP_2019-05-15_final
2019-06-08 11:45:47	ga_s2bm_ard_3-2-1_50JNP_2019-06-08_final
2019-06-08 11:47:25	ga_s2bm_ard_3-2-1_50HPG_2019-06-08_final.stac-item
2019-07-02 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-07-02_final
2019-07-14 10:27:14	ga_s2bm_ard_3-2-1_53HPA_2019-07-14_final
2019-07-15 11:36:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-15_final
2019-07-27 10:36:40	ga_s2bm_ard_3-2-1_53HPC_2019-07-27_final
2019-08-28 11:16:45	ga_s2bm_ard_3-2-1_51HXD_2019-08-28_final
2019-10-10 11:23:58	ga_s2bm_ard_3-2-1_51KXQ_2019-10-10_final
2019-11-19 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2019-11-19_final
2019-12-19 11:23:52	ga_s2bm_ard_3-2-1_51KXQ_2019-12-19_final
2019-12-24 10:35:45	ga_s2bm_ard_3-2-1_53JQF_2019-12-24_final
2020-01-15 11:14:54	ga_s2bm_ard_3-2-1_52JDQ_2020-01-15_final
2020-01-21 11:36:45	ga_s2bm_ard_3-2-1_50HPJ_2020-01-21_final
2020-01-26 10:42:36	ga_s2bm_ard_3-2-1_53KMU_2020-01-26_final
2020-01-29 10:55:38	ga_s2bm_ard_3-2-1_52JFM_2020-01-29_final
2020-02-23 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2020-02-23_final.stac-item
2020-03-14 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2020-03-14_final
2020-06-16 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2020-06-16_final.stac-item
2020-06-26 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2020-06-26_final
2020-06-28 10:26:49	ga_s2bm_ard_3-2-1_53HQB_2020-06-28_final
2020-07-06 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2020-07-06_final
2020-08-30 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2020-08-30_final
2020-08-31 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2020-08-31_final
2020-09-10 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2020-09-10_final
2020-09-29 10:36:20	ga_s2bm_ard_3-2-1_53HLE_2020-09-29_final
2020-12-24 10:52:30	ga_s2bm_ard_3-2-1_53KNU_2020-12-24_final
2021-01-15 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2021-01-15_final
2021-02-08 11:11:39	ga_s2bm_ard_3-2-1_52LGH_2021-02-08_final
2021-02-12 10:52:04	ga_s2bm_ard_3-2-1_53KNA_2021-02-12_final
2021-02-21 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2021-02-21_final
2021-05-24 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-05-24_final
2021-12-02 11:03:30	ga_s2bm_ard_3-2-1_52KEA_2021-12-02_final
2022-01-03 11:43:18	ga_s2bm_ard_3-2-1_50KQC_2022-01-03_final
2022-01-19 10:26:42	ga_s2bm_ard_3-2-1_53HQB_2022-01-19_final
2022-02-06 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2022-02-06_final
2022-03-05 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2022-03-05_final
2022-03-21 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2022-03-21_final
2022-06-09 11:34:12	ga_s2bm_ard_3-2-1_51KWP_2022-06-09_final
2022-07-04 10:45:49	ga_s2bm_ard_3-2-1_53JKG_2022-07-04_final
2022-07-22 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2022-07-22_final
2022-09-10 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2022-09-10_final.stac-item
2022-10-19 10:36:21	ga_s2bm_ard_3-2-1_53HND_2022-10-19_final.stac-item
2022-11-10 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2022-11-10_final.stac-item
2022-11-18 10:34:47	ga_s2bm_ard_3-2-1_53JQK_2022-11-18_final.stac-item
2022-12-06 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2022-12-06_final.stac-item
2022-12-10 11:13:15	ga_s2bm_ard_3-2-1_52KDB_2022-12-10_final.stac-item
2022-12-14 10:52:42	ga_s2bm_ard_3-2-1_53KKU_2022-12-14_final.stac-item
2023-01-22 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2023-01-22_final.stac-item
2023-01-26 11:03:00	ga_s2bm_ard_3-2-1_52KFC_2023-01-26_final.stac-item
2023-01-30 10:44:36	ga_s2bm_ard_3-2-1_53JML_2023-01-30_final.stac-item
2023-02-17 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-02-17_final.stac-item
2023-03-25 10:24:24	ga_s2bm_ard_3-2-1_53JRM_2023-03-25_final.stac-item
2023-04-03 10:53:35	ga_s2bm_ard_3-2-1_52KGA_2023-04-03_final.stac-item
2023-04-14 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-04-14_final.stac-item
2023-05-22 11:24:46	ga_s2bm_ard_3-2-1_51JXM_2023-05-22_final.stac-item
2023-06-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-06-13_final.stac-item
2023-07-23 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2023-07-23_final.stac-item
2023-08-07 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2023-08-07_final.stac-item
2023-08-25 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-08-25_final.stac-item
2023-09-13 11:04:46	ga_s2bm_ard_3-2-1_52JFR_2023-09-13_final.stac-item
2023-09-16 11:11:22	ga_s2bm_ard_3-2-1_52LEK_2023-09-16_final.stac-item
2023-10-24 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2023-10-24_final.stac-item
2023-11-18 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2023-11-18_final.stac-item
2023-12-04 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-12-04_final.stac-item
2024-01-09 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2024-01-09_final.stac-item
2024-02-10 11:00:47	ga_s2bm_ard_3-2-1_52LHM_2024-02-10_final.stac-item
2024-02-11 12:14:27	ga_s2bm_ard_3-2-1_49KGP_2024-02-11_final.stac-item
2024-03-10 11:33:11	ga_s2bm_ard_3-2-1_51KVT_2024-03-10_final.stac-item
2024-04-16 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2024-04-16_final.stac-item
2024-05-13 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2024-05-13_final.stac-item
2024-05-26 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2024-05-26_nrt.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