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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKM_2017-07-04_final
2017-07-31 11:56:33	ga_s2bm_ard_3-2-1_50HLH_2017-07-31_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_50HQJ_2017-10-06_final
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JEL_2017-11-03_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51HVD_2017-11-19_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_52KBD_2017-11-19_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_50JRS_2017-12-05_final
2018-01-12 10:57:07	ga_s2bm_ard_3-2-1_52LHL_2018-01-12_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51JYF_2018-01-15_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51LYD_2018-01-21_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52LDH_2018-02-14_final
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQN_2018-07-03_final
2018-07-28 10:49:53	ga_s2bm_ard_3-2-1_52JGL_2018-07-28_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JGL_2018-11-05_final
2018-11-07 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2018-11-07_final
2018-11-10 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2018-11-10_final
2018-11-10 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2018-11-10_final
2019-01-23 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2019-01-23_final
2019-01-27 11:04:47	ga_s2bm_ard_3-2-1_52JER_2019-01-27_final
2019-02-11 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2019-02-11_final
2019-03-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-03-06_final
2019-03-14 11:25:25	ga_s2bm_ard_3-2-1_51JWJ_2019-03-14_final
2019-03-16 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-03-16_final
2019-06-11 11:54:33	ga_s2bm_ard_3-2-1_50KMU_2019-06-11_final
2019-08-13 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-08-13_final
2019-09-19 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2019-09-19_final
2019-10-20 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2019-10-20_final
2019-10-23 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-10-23_final
2020-01-08 11:23:30	ga_s2bm_ard_3-2-1_51KZR_2020-01-08_final
2020-01-18 11:23:34	ga_s2bm_ard_3-2-1_51KXR_2020-01-18_final
2020-03-02 11:04:33	ga_s2bm_ard_3-2-1_52JDS_2020-03-02_final
2020-03-15 11:15:49	ga_s2bm_ard_3-2-1_52JBM_2020-03-15_final
2020-04-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2020-04-24_final
2020-06-11 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2020-06-11_final
2020-08-11 11:46:12	ga_s2bm_ard_3-2-1_50JNM_2020-08-11_final
2020-10-30 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2020-10-30_final
2020-11-06 11:36:36	ga_s2bm_ard_3-2-1_50HQK_2020-11-06_final
2020-12-06 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2020-12-06_final
2020-12-10 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2020-12-10_final
2020-12-20 11:13:03	ga_s2bm_ard_3-2-1_52KCC_2020-12-20_final
2020-12-27 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2020-12-27_final
2021-01-12 11:25:30	ga_s2bm_ard_3-2-1_51JVJ_2021-01-12_final
2021-01-22 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2021-01-22_final
2021-01-26 11:00:59	ga_s2bm_ard_3-2-1_52LHL_2021-01-26_final
2021-02-03 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2021-02-03_final
2021-02-05 11:02:39	ga_s2bm_ard_3-2-1_52KHD_2021-02-05_final
2021-02-11 11:24:39	ga_s2bm_ard_3-2-1_51JXM_2021-02-11_final
2021-02-11 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-02-11_final
2021-02-15 11:00:43	ga_s2bm_ard_3-2-1_52LHM_2021-02-15_final
2021-02-18 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2021-02-18_final
2021-03-06 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2021-03-06_final
2021-03-24 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2021-03-24_final
2021-03-24 10:55:59	ga_s2bm_ard_3-2-1_52JFL_2021-03-24_final
2021-04-15 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2021-04-15_final
2021-04-22 11:26:53	ga_s2bm_ard_3-2-1_51HVC_2021-04-22_final
2021-06-03 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2021-06-03_final
2021-06-17 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2021-06-17_final
2021-06-18 11:13:41	ga_s2bm_ard_3-2-1_51KZR_2021-06-18_final
2021-06-21 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2021-06-21_final
2021-10-02 11:36:28	ga_s2bm_ard_3-2-1_51HUE_2021-10-02_final
2021-10-19 11:26:42	ga_s2bm_ard_3-2-1_51HWD_2021-10-19_final
2021-12-21 11:36:32	ga_s2bm_ard_3-2-1_50HPK_2021-12-21_final
2022-01-31 11:04:01	ga_s2bm_ard_3-2-1_52KDU_2022-01-31_final
2022-02-03 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2022-02-03_final
2022-02-26 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2022-02-26_final
2022-02-28 12:03:19	ga_s2bm_ard_3-2-1_50KMC_2022-02-28_final
2022-05-07 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2022-05-07_final
2022-05-13 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-05-13_final
2022-05-17 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2022-05-17_final
2022-05-23 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2022-05-23_final
2022-06-27 10:52:36	ga_s2bm_ard_3-2-1_52KHE_2022-06-27_final
2022-09-01 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2022-09-01_final.stac-item
2022-09-07 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-09-07_final.stac-item
2022-09-30 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2022-09-30_final.stac-item
2022-11-24 10:53:42	ga_s2bm_ard_3-2-1_52KHV_2022-11-24_final.stac-item
2022-11-26 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-11-26_final.stac-item
2022-11-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-11-26_final.stac-item
2022-12-17 11:05:25	ga_s2bm_ard_3-2-1_52JFN_2022-12-17_final.stac-item
2022-12-17 11:06:08	ga_s2bm_ard_3-2-1_52JBL_2022-12-17_final.stac-item
2022-12-30 11:13:32	ga_s2bm_ard_3-2-1_52KDA_2022-12-30_final.stac-item
2023-01-08 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2023-01-08_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2023-01-18_final.stac-item
2023-02-24 11:34:32	ga_s2bm_ard_3-2-1_51JUN_2023-02-24_final.stac-item
2023-04-08 11:46:32	ga_s2bm_ard_3-2-1_50HQK_2023-04-08_final.stac-item
2023-05-24 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-05-24_final.stac-item
2023-06-08 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-06-08_nrt.stac-item
2023-06-12 10:53:04	ga_s2bm_ard_3-2-1_52KHC_2023-06-12_final.stac-item
2023-06-15 11:05:43	ga_s2bm_ard_3-2-1_52JFM_2023-06-15_final.stac-item
2023-07-04 11:35:53	ga_s2bm_ard_3-2-1_51JTH_2023-07-04_final.stac-item
2023-09-24 12:14:34	ga_s2bm_ard_3-2-1_49KFP_2023-09-24_nrt.stac-item
2023-10-09 11:21:12	ga_s2bm_ard_3-2-1_51LZF_2023-10-09_nrt.stac-item
2023-11-04 11:45:06	ga_s2bm_ard_3-2-1_50JQR_2023-11-04_final.stac-item
2023-11-19 10:52:29	ga_s2bm_ard_3-2-1_52KHE_2023-11-19_final.stac-item
2023-11-29 10:52:28	ga_s2bm_ard_3-2-1_52KHE_2023-11-29_final.stac-item
2023-12-12 11:02:52	ga_s2bm_ard_3-2-1_52KHC_2023-12-12_final.stac-item
2023-12-27 11:57:16	ga_s2bm_ard_3-2-1_49HGC_2023-12-27_nrt.stac-item
2024-01-10 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2024-01-10_final.stac-item
2024-02-13 11:12:43	ga_s2bm_ard_3-2-1_52KFD_2024-02-13_final.stac-item
2024-03-01 11:01:55	ga_s2bm_ard_3-2-1_52KHG_2024-03-01_final.stac-item
2024-03-21 11:00:48	ga_s2bm_ard_3-2-1_52LGM_2024-03-21_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