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
2017-07-09 11:12:47	ga_s2bm_ard_3-2-1_52KEC_2017-07-09_final
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JNM_2017-07-31_final
2017-08-03 10:23:06	ga_s2bm_ard_3-2-1_53HQB_2017-08-03_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JYH_2017-09-30_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_52KHC_2017-10-11_final
2017-11-01 10:16:52	ga_s2bm_ard_3-2-1_53HPB_2017-11-01_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51LZE_2017-11-19_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_53JPN_2017-12-07_final
2017-12-14 10:32:21	ga_s2bm_ard_3-2-1_53JPJ_2017-12-14_final
2017-12-16 11:07:00	ga_s2bm_ard_3-2-1_51HYD_2017-12-16_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JML_2017-12-18_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HLJ_2017-12-18_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_50KRB_2017-12-25_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JXN_2017-12-29_final
2018-01-13 10:27:00	ga_s2bm_ard_3-2-1_53HLD_2018-01-13_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_51HXD_2018-02-14_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51KXV_2018-02-20_final
2018-04-01 11:30:00	ga_s2bm_ard_3-2-1_51KVB_2018-04-01_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JFS_2018-05-02_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JFM_2018-05-12_final
2018-05-22 10:57:13	ga_s2bm_ard_3-2-1_52KDU_2018-05-22_final
2018-06-02 10:34:28	ga_s2bm_ard_3-2-1_53HPA_2018-06-02_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50HMK_2018-09-04_final
2018-11-14 11:26:27	ga_s2bm_ard_3-2-1_51HVE_2018-11-14_final
2018-11-26 10:26:00	ga_s2bm_ard_3-2-1_53HQE_2018-11-26_final
2018-12-04 11:23:16	ga_s2bm_ard_3-2-1_52KBB_2018-12-04_final
2018-12-10 11:43:05	ga_s2bm_ard_3-2-1_51KVT_2018-12-10_final
2019-04-15 10:26:52	ga_s2bm_ard_3-2-1_53HQB_2019-04-15_final
2019-04-19 11:46:47	ga_s2bm_ard_3-2-1_50HMK_2019-04-19_final
2019-06-11 11:54:45	ga_s2bm_ard_3-2-1_50JNT_2019-06-11_final
2020-02-19 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-02-19_final
2020-03-02 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2020-03-02_final
2020-03-17 11:56:09	ga_s2bm_ard_3-2-1_50JLM_2020-03-17_final
2020-03-27 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-03-27_final
2020-05-17 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2020-05-17_final
2020-07-21 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2020-07-21_final
2020-08-10 10:36:50	ga_s2bm_ard_3-2-1_53HPB_2020-08-10_final
2020-08-17 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2020-08-17_final
2020-09-06 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2020-09-06_final
2020-10-24 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2020-10-24_final
2020-12-07 11:03:00	ga_s2bm_ard_3-2-1_52KFC_2020-12-07_final
2020-12-09 11:44:14	ga_s2bm_ard_3-2-1_51KTP_2020-12-09_final
2020-12-10 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2020-12-10_final
2020-12-20 11:13:00	ga_s2bm_ard_3-2-1_52KDC_2020-12-20_final
2020-12-26 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2020-12-26_final
2021-01-15 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2021-01-15_final
2021-01-29 11:12:35	ga_s2bm_ard_3-2-1_52KDE_2021-01-29_final
2021-02-03 12:03:55	ga_s2bm_ard_3-2-1_50KLA_2021-02-03_final
2021-03-13 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-03-13_final
2021-03-14 10:53:20	ga_s2bm_ard_3-2-1_52KGB_2021-03-14_final
2021-03-19 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-03-19_final
2021-03-20 11:11:51	ga_s2bm_ard_3-2-1_52LDH_2021-03-20_final
2021-04-20 10:44:11	ga_s2bm_ard_3-2-1_53JPM_2021-04-20_final
2021-04-28 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2021-04-28_final
2021-05-30 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2021-05-30_final
2021-06-21 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2021-06-21_final
2021-06-23 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2021-06-23_final
2021-07-02 10:55:57	ga_s2bm_ard_3-2-1_52JGL_2021-07-02_final
2021-07-22 10:55:58	ga_s2bm_ard_3-2-1_52JGL_2021-07-22_final
2021-08-23 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-08-23_final
2021-10-10 10:54:30	ga_s2bm_ard_3-2-1_52JGS_2021-10-10_final
2021-10-21 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-21_final
2021-11-01 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-11-01_final
2021-11-03 10:36:08	ga_s2bm_ard_3-2-1_53HNE_2021-11-03_final
2021-11-23 10:35:27	ga_s2bm_ard_3-2-1_53JQG_2021-11-23_final
2021-11-25 11:16:16	ga_s2bm_ard_3-2-1_52HBK_2021-11-25_final
2022-02-03 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2022-02-03_final
2022-03-04 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2022-03-04_final
2022-03-08 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2022-03-08_final
2022-03-13 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2022-03-13_final
2022-04-19 12:04:06	ga_s2bm_ard_3-2-1_50KLV_2022-04-19_final
2022-05-09 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2022-05-09_final
2022-05-13 11:44:14	ga_s2bm_ard_3-2-1_51KTP_2022-05-13_final
2022-05-17 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2022-05-17_final
2022-05-23 11:44:49	ga_s2bm_ard_3-2-1_50JQS_2022-05-23_final
2022-06-15 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2022-06-15_final
2022-08-01 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2022-08-01_final
2022-08-11 11:46:37	ga_s2bm_ard_3-2-1_50HPK_2022-08-11_final
2022-08-13 10:46:27	ga_s2bm_ard_3-2-1_53HLD_2022-08-13_final
2022-08-27 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2022-08-27_final
2022-08-31 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2022-08-31_final
2022-10-28 11:03:28	ga_s2bm_ard_3-2-1_52KFA_2022-10-28_final.stac-item
2022-11-23 11:21:54	ga_s2bm_ard_3-2-1_51LZC_2022-11-23_final.stac-item
2022-11-24 10:54:00	ga_s2bm_ard_3-2-1_52KGU_2022-11-24_final.stac-item
2022-11-28 10:34:06	ga_s2bm_ard_3-2-1_53JPN_2022-11-28_final.stac-item
2023-04-02 11:23:53	ga_s2bm_ard_3-2-1_51KZQ_2023-04-02_final.stac-item
2023-04-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-04-08_final.stac-item
2023-05-14 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2023-05-14_final.stac-item
2023-05-20 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2023-05-20_final.stac-item
2023-06-18 11:13:53	ga_s2bm_ard_3-2-1_52KDV_2023-06-18_final.stac-item
2023-07-01 11:21:37	ga_s2bm_ard_3-2-1_52LDJ_2023-07-01_final.stac-item
2023-11-11 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-11-11_final.stac-item
2024-01-14 11:11:43	ga_s2bm_ard_3-2-1_52LFH_2024-01-14_final.stac-item
2024-01-22 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2024-01-22_final.stac-item
2024-01-23 11:44:30	ga_s2bm_ard_3-2-1_50JRT_2024-01-23_final.stac-item
2024-03-03 11:43:08	ga_s2bm_ard_3-2-1_51KVT_2024-03-03_final.stac-item
2024-03-04 11:10:54	ga_s2bm_ard_3-2-1_52LGL_2024-03-04_final.stac-item
2024-03-07 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2024-03-07_final.stac-item
2024-04-19 11:31:07	ga_s2bm_ard_3-2-1_51LZF_2024-04-19_nrt.stac-item
2024-04-23 11:16:22	ga_s2bm_ard_3-2-1_51HYE_2024-04-23_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