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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50KRD_2017-10-06_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50KRD_2017-10-19_final
2017-11-18 10:13:29	ga_s2bm_ard_3-2-1_54HVE_2017-11-18_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGJ_2017-12-11_final
2018-01-07 10:06:55	ga_s2bm_ard_3-2-1_54HUG_2018-01-07_final
2018-01-08 11:25:08	ga_s2bm_ard_3-2-1_51HWC_2018-01-08_final.stac-item
2018-02-16 10:06:57	ga_s2bm_ard_3-2-1_54HUD_2018-02-16_final.stac-item
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KRD_2018-02-26_final
2018-04-06 10:37:24	ga_s2bm_ard_3-2-1_52HGK_2018-04-06_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPG_2018-04-21_final.stac-item
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HMJ_2018-06-03_final
2018-07-16 11:52:50	ga_s2bm_ard_3-2-1_50KRD_2018-07-16_final
2018-07-19 10:22:47	ga_s2bm_ard_3-2-1_53HPC_2018-07-19_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52HDK_2018-08-10_final.stac-item
2018-08-13 11:11:16	ga_s2bm_ard_3-2-1_51HWC_2018-08-13_final.stac-item
2018-10-16 10:52:07	ga_s2bm_ard_3-2-1_52KHF_2018-10-16_final
2018-11-02 10:37:25	ga_s2bm_ard_3-2-1_53KNR_2018-11-02_final
2018-11-26 10:25:36	ga_s2bm_ard_3-2-1_53JPG_2018-11-26_final
2018-12-01 11:11:15	ga_s2bm_ard_3-2-1_52LEK_2018-12-01_final.stac-item
2018-12-27 11:35:52	ga_s2bm_ard_3-2-1_51JVG_2018-12-27_final
2019-03-25 10:50:24	ga_s2bm_ard_3-2-1_53LNH_2019-03-25_final.stac-item
2019-04-05 10:26:54	ga_s2bm_ard_3-2-1_54HUF_2019-04-05_final
2019-04-12 10:17:19	ga_s2bm_ard_3-2-1_54HUE_2019-04-12_final.stac-item
2019-05-19 11:42:25	ga_s2bm_ard_3-2-1_51KUB_2019-05-19_final.stac-item
2019-06-21 10:17:23	ga_s2bm_ard_3-2-1_54HUE_2019-06-21_final.stac-item
2019-07-09 11:13:02	ga_s2bm_ard_3-2-1_52KFC_2019-07-09_final
2019-08-21 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2019-08-21_final
2019-08-26 10:36:44	ga_s2bm_ard_3-2-1_53HMC_2019-08-26_final.stac-item
2019-12-19 11:22:43	ga_s2bm_ard_3-2-1_52KCD_2019-12-19_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-01-11 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-11_final
2020-01-24 11:42:57	ga_s2bm_ard_3-2-1_50KRD_2020-01-24_final
2020-01-25 11:15:15	ga_s2bm_ard_3-2-1_52JBP_2020-01-25_final
2020-02-02 10:36:32	ga_s2bm_ard_3-2-1_53HMC_2020-02-02_final.stac-item
2020-02-13 10:07:32	ga_s2bm_ard_3-2-1_54HXC_2020-02-13_final
2020-02-19 12:04:24	ga_s2bm_ard_3-2-1_49KHP_2020-02-19_final
2020-03-05 11:10:55	ga_s2bm_ard_3-2-1_52LGL_2020-03-05_final
2020-04-29 10:25:45	ga_s2bm_ard_3-2-1_53JQF_2020-04-29_final
2020-06-15 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2020-06-15_final
2020-07-21 10:34:27	ga_s2bm_ard_3-2-1_53JNM_2020-07-21_final
2020-07-30 11:06:20	ga_s2bm_ard_3-2-1_52HDK_2020-07-30_final.stac-item
2020-10-21 11:10:33	ga_s2bm_ard_3-2-1_52LGN_2020-10-21_final
2020-11-19 11:47:21	ga_s2bm_ard_3-2-1_50HNG_2020-11-19_final.stac-item
2020-11-30 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2020-11-30_final.stac-item
2020-12-18 10:35:04	ga_s2bm_ard_3-2-1_54JTN_2020-12-18_final
2021-01-03 10:50:37	ga_s2bm_ard_3-2-1_53LNG_2021-01-03_final
2021-01-18 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-01-18_final
2021-03-08 10:36:38	ga_s2bm_ard_3-2-1_53HMC_2021-03-08_final.stac-item
2021-04-10 10:40:51	ga_s2bm_ard_3-2-1_53LPF_2021-04-10_final
2021-04-21 11:52:58	ga_s2bm_ard_3-2-1_50KQD_2021-04-21_final.stac-item
2021-04-28 11:41:28	ga_s2bm_ard_3-2-1_51LUE_2021-04-28_final
2021-05-07 10:36:15	ga_s2bm_ard_3-2-1_53HPD_2021-05-07_final
2021-05-10 10:43:46	ga_s2bm_ard_3-2-1_53KPP_2021-05-10_final
2021-05-17 10:36:39	ga_s2bm_ard_3-2-1_53HMC_2021-05-17_final.stac-item
2021-05-30 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2021-05-30_final
2021-06-10 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2021-06-10_final
2021-07-16 10:36:12	ga_s2bm_ard_3-2-1_53HME_2021-07-16_final
2021-07-22 10:53:01	ga_s2bm_ard_3-2-1_53KKT_2021-07-22_final
2021-08-09 11:53:00	ga_s2bm_ard_3-2-1_50KRD_2021-08-09_final
2021-08-18 10:41:45	ga_s2bm_ard_3-2-1_53KRB_2021-08-18_final
2021-08-20 11:24:04	ga_s2bm_ard_3-2-1_51KZP_2021-08-20_final
2021-10-11 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-10-11_final
2021-11-01 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2021-11-01_final
2021-11-08 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2021-11-08_final
2021-11-16 10:44:01	ga_s2bm_ard_3-2-1_53JPN_2021-11-16_final
2022-01-03 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2022-01-03_final.stac-item
2022-01-22 10:36:34	ga_s2bm_ard_3-2-1_53HMC_2022-01-22_final.stac-item
2022-02-26 11:24:00	ga_s2bm_ard_3-2-1_52KBU_2022-02-26_final
2022-04-08 10:50:24	ga_s2bm_ard_3-2-1_53LQG_2022-04-08_final.stac-item
2022-04-20 11:32:36	ga_s2bm_ard_3-2-1_51KXV_2022-04-20_final
2022-06-05 11:53:03	ga_s2bm_ard_3-2-1_50KQD_2022-06-05_final.stac-item
2022-06-27 10:50:43	ga_s2bm_ard_3-2-1_53LNG_2022-06-27_final
2022-06-27 10:51:46	ga_s2bm_ard_3-2-1_53LMC_2022-06-27_final
2022-08-05 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2022-08-05_final
2022-08-12 11:13:58	ga_s2bm_ard_3-2-1_51KZQ_2022-08-12_final
2022-08-28 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2022-08-28_final
2022-09-11 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2022-09-11_final.stac-item
2022-09-30 10:07:14	ga_s2bm_ard_3-2-1_54HYD_2022-09-30_final.stac-item
2022-10-09 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2022-10-09_final.stac-item
2022-11-22 10:17:14	ga_s2bm_ard_3-2-1_54HUE_2022-11-22_final.stac-item
2022-12-29 11:43:43	ga_s2bm_ard_3-2-1_51KUR_2022-12-29_final.stac-item
2023-01-15 11:32:11	ga_s2bm_ard_3-2-1_51KWB_2023-01-15_final.stac-item
2023-01-25 11:31:21	ga_s2bm_ard_3-2-1_51LYE_2023-01-25_final.stac-item
2023-01-25 11:31:33	ga_s2bm_ard_3-2-1_51LZD_2023-01-25_final.stac-item
2023-02-19 10:40:26	ga_s2bm_ard_3-2-1_53LPH_2023-02-19_final.stac-item
2023-02-26 10:34:08	ga_s2bm_ard_3-2-1_53JPN_2023-02-26_final.stac-item
2023-06-08 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2023-06-08_final.stac-item
2023-06-30 10:17:31	ga_s2bm_ard_3-2-1_54HVD_2023-06-30_final.stac-item
2023-07-01 11:22:00	ga_s2bm_ard_3-2-1_51LZC_2023-07-01_final.stac-item
2023-07-04 11:34:23	ga_s2bm_ard_3-2-1_51KUP_2023-07-04_final.stac-item
2023-07-11 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-07-11_final.stac-item
2023-09-14 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2023-09-14_final.stac-item
2023-10-13 11:06:20	ga_s2bm_ard_3-2-1_52HDK_2023-10-13_final.stac-item
2023-11-14 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2023-11-14_final.stac-item
2023-11-19 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2023-11-19_final.stac-item
2023-11-30 10:24:16	ga_s2bm_ard_3-2-1_53JRM_2023-11-30_final.stac-item
2023-12-21 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-12-21_final.stac-item
2024-03-06 11:52:58	ga_s2bm_ard_3-2-1_50KQD_2024-03-06_final.stac-item
2024-03-10 11:32:57	ga_s2bm_ard_3-2-1_51KVU_2024-03-10_final.stac-item
2024-04-06 11:23:48	ga_s2bm_ard_3-2-1_51KZQ_2024-04-06_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