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
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54HVG_2017-08-10_final
2017-12-15 10:06:54	ga_s2bm_ard_3-2-1_54HVD_2017-12-15_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KUV_2018-01-24_final
2018-01-28 09:42:21	ga_s2bm_ard_3-2-1_54HYC_2018-01-28_final
2018-05-28 11:21:19	ga_s2bm_ard_3-2-1_51JVJ_2018-05-28_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KVS_2018-06-03_final
2018-06-08 10:47:22	ga_s2bm_ard_3-2-1_53LPF_2018-06-08_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KGU_2018-08-30_final
2018-12-11 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2018-12-11_final
2018-12-12 10:44:32	ga_s2bm_ard_3-2-1_53JML_2018-12-12_final
2018-12-27 09:57:42	ga_s2bm_ard_3-2-1_54HWC_2018-12-27_final
2019-02-07 10:36:46	ga_s2bm_ard_3-2-1_53HPB_2019-02-07_final
2019-04-08 10:36:32	ga_s2bm_ard_3-2-1_53HLD_2019-04-08_final
2019-07-08 11:43:12	ga_s2bm_ard_3-2-1_51KTU_2019-07-08_final
2019-07-14 12:06:18	ga_s2bm_ard_3-2-1_50JKM_2019-07-14_final
2019-10-20 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2019-10-20_final
2019-11-14 10:34:20	ga_s2bm_ard_3-2-1_53JPM_2019-11-14_final
2019-11-27 10:43:44	ga_s2bm_ard_3-2-1_53KPP_2019-11-27_final
2019-12-02 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2019-12-02_final
2019-12-12 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2019-12-12_final
2019-12-30 10:54:16	ga_s2bm_ard_3-2-1_52JFT_2019-12-30_final
2020-01-08 11:22:21	ga_s2bm_ard_3-2-1_51KYA_2020-01-08_final
2020-01-20 10:26:38	ga_s2bm_ard_3-2-1_54HTG_2020-01-20_final
2020-02-10 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-02-10_final
2020-02-17 11:24:28	ga_s2bm_ard_3-2-1_52JBS_2020-02-17_final
2020-03-17 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-17_final
2020-03-29 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2020-03-29_final
2020-05-27 11:23:01	ga_s2bm_ard_3-2-1_51KXU_2020-05-27_final
2020-06-24 10:45:31	ga_s2bm_ard_3-2-1_53JKH_2020-06-24_final
2020-07-06 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-07-06_final
2020-07-24 10:43:50	ga_s2bm_ard_3-2-1_53KPP_2020-07-24_final
2020-08-02 11:13:39	ga_s2bm_ard_3-2-1_52KCA_2020-08-02_final
2020-12-29 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2020-12-29_final
2021-01-05 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2021-01-05_final
2021-02-13 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2021-02-13_final
2021-03-02 11:53:30	ga_s2bm_ard_3-2-1_50KQB_2021-03-02_final
2021-03-30 11:13:28	ga_s2bm_ard_3-2-1_52KEA_2021-03-30_final
2021-04-11 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2021-04-11_final
2021-04-24 10:26:35	ga_s2bm_ard_3-2-1_54HUG_2021-04-24_final
2021-05-27 12:15:00	ga_s2bm_ard_3-2-1_49JFM_2021-05-27_final
2021-06-02 10:55:50	ga_s2bm_ard_3-2-1_52JEM_2021-06-02_final
2021-06-03 10:26:51	ga_s2bm_ard_3-2-1_54HUF_2021-06-03_final
2021-06-11 11:27:00	ga_s2bm_ard_3-2-1_51HUC_2021-06-11_final
2021-07-14 11:35:50	ga_s2bm_ard_3-2-1_51JTH_2021-07-14_final
2021-07-30 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2021-07-30_final
2021-08-24 11:06:22	ga_s2bm_ard_3-2-1_52HBK_2021-08-24_final
2021-11-08 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2021-11-08_final
2021-11-23 10:32:19	ga_s2bm_ard_3-2-1_53KQV_2021-11-23_final
2022-01-14 11:11:26	ga_s2bm_ard_3-2-1_52LFJ_2022-01-14_final
2022-01-17 11:24:14	ga_s2bm_ard_3-2-1_52JBT_2022-01-17_final
2022-02-09 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2022-02-09_final
2022-02-13 11:16:20	ga_s2bm_ard_3-2-1_51HXE_2022-02-13_final
2022-02-26 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2022-02-26_final
2022-03-28 11:26:15	ga_s2bm_ard_3-2-1_51JUF_2022-03-28_final
2022-04-01 11:04:10	ga_s2bm_ard_3-2-1_52JET_2022-04-01_final
2022-04-10 11:36:07	ga_s2bm_ard_3-2-1_51JVF_2022-04-10_final
2022-04-11 11:06:00	ga_s2bm_ard_3-2-1_52JDL_2022-04-11_final
2022-05-11 11:04:09	ga_s2bm_ard_3-2-1_52JET_2022-05-11_final
2022-07-03 11:16:11	ga_s2bm_ard_3-2-1_52JBL_2022-07-03_final
2022-09-08 11:02:20	ga_s2bm_ard_3-2-1_52KFF_2022-09-08_final.stac-item
2022-09-09 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2022-09-09_final.stac-item
2022-10-10 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2022-10-10_final.stac-item
2022-10-23 13:31:38	ga_s2bm_ard_3-2-1_46LHM_2022-10-23_interim.stac-item
2022-11-09 10:07:07	ga_s2bm_ard_3-2-1_54HXE_2022-11-09_final.stac-item
2022-11-15 10:26:01	ga_s2bm_ard_3-2-1_54HTK_2022-11-15_final.stac-item
2022-12-27 11:06:02	ga_s2bm_ard_3-2-1_52JDL_2022-12-27_final.stac-item
2023-01-13 10:54:15	ga_s2bm_ard_3-2-1_52JFT_2023-01-13_final.stac-item
2023-01-19 11:11:37	ga_s2bm_ard_3-2-1_52LGH_2023-01-19_final.stac-item
2023-01-25 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2023-01-25_final.stac-item
2023-01-25 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2023-01-25_final.stac-item
2023-02-04 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2023-02-04_final.stac-item
2023-02-26 10:34:26	ga_s2bm_ard_3-2-1_53JNM_2023-02-26_final.stac-item
2023-03-30 11:14:53	ga_s2bm_ard_3-2-1_52JCR_2023-03-30_final.stac-item
2023-04-05 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-04-05_final.stac-item
2023-05-06 11:00:31	ga_s2bm_ard_3-2-1_53LKH_2023-05-06_final.stac-item
2023-06-12 10:53:37	ga_s2bm_ard_3-2-1_52KGA_2023-06-12_final.stac-item
2023-06-12 10:53:48	ga_s2bm_ard_3-2-1_53KKQ_2023-06-12_final.stac-item
2023-06-29 10:43:53	ga_s2bm_ard_3-2-1_53KPP_2023-06-29_final.stac-item
2023-08-13 11:36:02	ga_s2bm_ard_3-2-1_51JVG_2023-08-13_final.stac-item
2023-08-24 11:02:56	ga_s2bm_ard_3-2-1_52KED_2023-08-24_final.stac-item
2023-08-30 11:25:18	ga_s2bm_ard_3-2-1_51JWK_2023-08-30_final.stac-item
2023-09-23 11:06:37	ga_s2bm_ard_3-2-1_52HBJ_2023-09-23_nrt.stac-item
2023-10-23 11:04:37	ga_s2bm_ard_3-2-1_52JGR_2023-10-23_final.stac-item
2023-10-30 10:51:06	ga_s2bm_ard_3-2-1_53LPE_2023-10-30_final.stac-item
2023-11-20 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-20_final.stac-item
2023-11-21 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-11-21_final.stac-item
2023-12-10 10:26:36	ga_s2bm_ard_3-2-1_54HUG_2023-12-10_final.stac-item
2023-12-11 11:34:02	ga_s2bm_ard_3-2-1_51KXP_2023-12-11_final.stac-item
2024-01-10 11:32:20	ga_s2bm_ard_3-2-1_51KYA_2024-01-10_final.stac-item
2024-02-09 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2024-02-09_final.stac-item
2024-02-17 10:56:01	ga_s2bm_ard_3-2-1_52JFL_2024-02-17_final.stac-item
2024-03-07 11:25:51	ga_s2bm_ard_3-2-1_51JWG_2024-03-07_final.stac-item
2024-03-11 11:01:05	ga_s2bm_ard_3-2-1_53LLE_2024-03-11_final.stac-item
2024-03-11 11:01:23	ga_s2bm_ard_3-2-1_53LKD_2024-03-11_final.stac-item
2024-03-21 11:02:55	ga_s2bm_ard_3-2-1_52KHC_2024-03-21_final.stac-item
2024-03-21 11:03:05	ga_s2bm_ard_3-2-1_52KFC_2024-03-21_final.stac-item
2024-04-09 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2024-04-09_final.stac-item
2024-04-23 11:13:48	ga_s2bm_ard_3-2-1_52KDV_2024-04-23_final.stac-item
2024-04-26 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2024-04-26_final.stac-item
2024-05-30 11:04:18	ga_s2bm_ard_3-2-1_52JET_2024-05-30_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

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