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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JNM_2017-07-31_final
2017-09-25 12:14:28	ga_s2bm_ard_3-2-1_49JGN_2017-09-25_final
2017-10-12 10:26:23	ga_s2bm_ard_3-2-1_53HPB_2017-10-12_final
2017-10-26 11:41:25	ga_s2bm_ard_3-2-1_50HNK_2017-10-26_final
2017-11-30 10:47:13	ga_s2bm_ard_3-2-1_53KKR_2017-11-30_final
2018-01-19 10:47:17	ga_s2bm_ard_3-2-1_53KMV_2018-01-19_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JTH_2018-01-21_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVN_2018-01-31_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51KXR_2018-01-31_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53HPC_2018-02-12_final
2018-02-12 10:31:32	ga_s2bm_ard_3-2-1_53JNG_2018-02-12_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_51HWE_2018-02-17_final
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53HPA_2018-03-14_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JFR_2018-05-02_final
2018-06-19 10:26:12	ga_s2bm_ard_3-2-1_53HNB_2018-06-19_final
2018-08-24 10:41:39	ga_s2bm_ard_3-2-1_53JPM_2018-08-24_final
2018-10-05 11:21:50	ga_s2bm_ard_3-2-1_51HVE_2018-10-05_final
2018-12-09 10:36:11	ga_s2bm_ard_3-2-1_53HPD_2018-12-09_final
2019-01-25 12:03:38	ga_s2bm_ard_3-2-1_50KMB_2019-01-25_final
2019-02-17 10:35:15	ga_s2bm_ard_3-2-1_53JMJ_2019-02-17_final
2019-05-06 11:33:42	ga_s2bm_ard_3-2-1_51KUS_2019-05-06_final
2019-07-05 11:36:51	ga_s2bm_ard_3-2-1_51HUD_2019-07-05_final
2019-07-29 11:14:28	ga_s2bm_ard_3-2-1_52JCT_2019-07-29_final
2019-08-18 11:16:50	ga_s2bm_ard_3-2-1_51HWD_2019-08-18_final
2019-12-19 11:22:46	ga_s2bm_ard_3-2-1_52KBD_2019-12-19_final
2020-01-05 11:11:16	ga_s2bm_ard_3-2-1_52LFK_2020-01-05_final
2020-01-08 11:23:08	ga_s2bm_ard_3-2-1_51KXT_2020-01-08_final
2020-02-12 10:36:54	ga_s2bm_ard_3-2-1_53HPA_2020-02-12_final
2020-02-20 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2020-02-20_final
2020-04-11 11:01:10	ga_s2bm_ard_3-2-1_52LHK_2020-04-11_final
2020-04-20 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2020-04-20_final
2020-04-27 11:25:52	ga_s2bm_ard_3-2-1_51JWG_2020-04-27_final
2020-05-20 11:32:00	ga_s2bm_ard_3-2-1_51LWC_2020-05-20_final
2020-06-29 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-06-29_final
2020-08-05 11:25:49	ga_s2bm_ard_3-2-1_51JVH_2020-08-05_final
2020-11-06 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2020-11-06_final
2020-11-27 11:00:48	ga_s2bm_ard_3-2-1_52LGM_2020-11-27_final
2020-11-28 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2020-11-28_final
2021-03-06 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2021-03-06_final
2021-05-02 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2021-05-02_final
2021-05-05 11:32:17	ga_s2bm_ard_3-2-1_51KVB_2021-05-05_final
2021-05-15 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-05-15_final
2021-05-27 10:36:29	ga_s2bm_ard_3-2-1_53HLD_2021-05-27_final
2021-05-31 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-05-31_final
2021-06-01 11:25:39	ga_s2bm_ard_3-2-1_51JXH_2021-06-01_final
2021-06-09 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2021-06-09_final
2021-06-10 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-06-10_final
2021-06-20 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-06-20_final
2021-06-28 11:14:06	ga_s2bm_ard_3-2-1_52KCU_2021-06-28_final
2021-07-04 11:35:57	ga_s2bm_ard_3-2-1_51JVG_2021-07-04_final
2021-07-20 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2021-07-20_final
2021-07-21 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2021-07-21_final
2021-08-10 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2021-08-10_final
2021-10-05 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2021-10-05_final
2022-01-30 11:31:15	ga_s2bm_ard_3-2-1_51LZE_2022-01-30_final
2022-01-30 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2022-01-30_final
2022-01-31 11:00:56	ga_s2bm_ard_3-2-1_52LGL_2022-01-31_final
2022-03-18 11:21:48	ga_s2bm_ard_3-2-1_52LCH_2022-03-18_final
2022-04-04 11:15:21	ga_s2bm_ard_3-2-1_51JYJ_2022-04-04_final
2022-04-09 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2022-04-09_final
2022-04-17 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2022-04-17_final
2022-05-18 10:54:11	ga_s2bm_ard_3-2-1_53JKN_2022-05-18_final
2022-06-01 10:34:36	ga_s2bm_ard_3-2-1_53JQL_2022-06-01_final
2022-07-04 10:44:21	ga_s2bm_ard_3-2-1_53JPM_2022-07-04_final
2022-07-22 11:44:50	ga_s2bm_ard_3-2-1_51JTM_2022-07-22_final
2022-07-25 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2022-07-25_final
2022-07-29 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-29_final
2022-08-01 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2022-08-01_final
2022-08-08 11:34:36	ga_s2bm_ard_3-2-1_51JUN_2022-08-08_final
2022-08-12 11:15:28	ga_s2bm_ard_3-2-1_51JYJ_2022-08-12_final
2022-08-17 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2022-08-17_final
2022-09-04 11:25:44	ga_s2bm_ard_3-2-1_51JWH_2022-09-04_final.stac-item
2022-10-01 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2022-10-01_final.stac-item
2022-10-01 11:15:06	ga_s2bm_ard_3-2-1_52JBQ_2022-10-01_final.stac-item
2022-10-20 11:41:58	ga_s2bm_ard_3-2-1_51LVC_2022-10-20_final.stac-item
2022-11-21 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2022-11-21_final.stac-item
2022-11-23 11:21:25	ga_s2bm_ard_3-2-1_51LZE_2022-11-23_final.stac-item
2022-11-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-11-26_final.stac-item
2023-01-13 10:52:07	ga_s2bm_ard_3-2-1_53KLA_2023-01-13_final.stac-item
2023-01-30 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2023-01-30_final.stac-item
2023-02-12 10:55:12	ga_s2bm_ard_3-2-1_52JGP_2023-02-12_final.stac-item
2023-02-28 11:11:38	ga_s2bm_ard_3-2-1_52LDJ_2023-02-28_final.stac-item
2023-04-19 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2023-04-19_final.stac-item
2023-04-21 10:16:54	ga_s2bm_ard_3-2-1_53HQB_2023-04-21_final.stac-item
2023-04-27 10:36:48	ga_s2bm_ard_3-2-1_53HPB_2023-04-27_final.stac-item
2023-08-31 10:55:32	ga_s2bm_ard_3-2-1_52JGN_2023-08-31_final.stac-item
2023-09-12 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-09-12_final.stac-item
2023-09-26 11:15:03	ga_s2bm_ard_3-2-1_52JDQ_2023-09-26_final.stac-item
2023-11-03 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-11-03_final.stac-item
2023-11-08 11:24:21	ga_s2bm_ard_3-2-1_51JZN_2023-11-08_final.stac-item
2023-11-28 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2023-11-28_final.stac-item
2023-11-28 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2023-11-28_final.stac-item
2024-01-20 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-01-20_final.stac-item
2024-01-21 11:02:22	ga_s2bm_ard_3-2-1_52KHE_2024-01-21_final.stac-item
2024-03-05 10:43:58	ga_s2bm_ard_3-2-1_53JPN_2024-03-05_final.stac-item
2024-03-10 11:33:26	ga_s2bm_ard_3-2-1_51KVS_2024-03-10_final.stac-item
2024-03-10 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2024-03-10_final.stac-item
2024-03-13 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2024-03-13_final.stac-item
2024-03-21 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2024-03-21_final.stac-item
2024-05-02 11:46:56	ga_s2bm_ard_3-2-1_50HMJ_2024-05-02_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