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
2017-07-10 10:43:08	ga_s2bm_ard_3-2-1_53KMR_2017-07-10_final
2017-08-24 11:35:59	ga_s2bm_ard_3-2-1_51JTG_2017-08-24_final
2017-08-28 11:11:56	ga_s2bm_ard_3-2-1_52JBN_2017-08-28_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HWG_2017-09-06_final
2017-10-28 10:42:53	ga_s2bm_ard_3-2-1_53KMS_2017-10-28_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JLN_2017-11-28_final
2017-12-21 12:02:37	ga_s2bm_ard_3-2-1_49JGK_2017-12-21_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52JFR_2017-12-30_final
2018-01-30 10:23:21	ga_s2bm_ard_3-2-1_54JTN_2018-01-30_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JQG_2018-02-02_final
2018-03-13 10:57:07	ga_s2bm_ard_3-2-1_52LHM_2018-03-13_final
2018-03-21 10:17:00	ga_s2bm_ard_3-2-1_54JVN_2018-03-21_final
2018-03-27 10:37:22	ga_s2bm_ard_3-2-1_53JNM_2018-03-27_final
2018-06-22 10:34:30	ga_s2bm_ard_3-2-1_53HPA_2018-06-22_final
2018-07-05 10:40:12	ga_s2bm_ard_3-2-1_53HME_2018-07-05_final
2018-08-11 10:29:56	ga_s2bm_ard_3-2-1_53KPP_2018-08-11_final
2018-09-01 09:58:07	ga_s2bm_ard_3-2-1_54HYG_2018-09-01_final
2018-11-11 11:16:17	ga_s2bm_ard_3-2-1_52HBK_2018-11-11_final
2018-11-17 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2018-11-17_final
2018-11-20 10:06:07	ga_s2bm_ard_3-2-1_54HXJ_2018-11-20_final
2018-12-16 12:05:49	ga_s2bm_ard_3-2-1_50JKN_2018-12-16_final
2018-12-28 11:00:56	ga_s2bm_ard_3-2-1_52LHL_2018-12-28_final
2019-01-04 10:55:27	ga_s2bm_ard_3-2-1_52JFN_2019-01-04_final
2019-04-12 11:54:38	ga_s2bm_ard_3-2-1_50JPT_2019-04-12_final
2019-05-16 11:35:58	ga_s2bm_ard_3-2-1_51JUH_2019-05-16_final
2019-07-22 09:48:03	ga_s2bm_ard_3-2-1_54HYB_2019-07-22_final
2019-07-30 10:44:11	ga_s2bm_ard_3-2-1_53JPN_2019-07-30_final
2019-10-28 10:43:06	ga_s2bm_ard_3-2-1_53KPS_2019-10-28_final
2019-11-29 09:48:04	ga_s2bm_ard_3-2-1_54GYA_2019-11-29_final
2019-12-26 11:12:45	ga_s2bm_ard_3-2-1_52KDD_2019-12-26_final
2020-02-21 11:00:25	ga_s2bm_ard_3-2-1_53LKH_2020-02-21_final
2020-03-01 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2020-03-01_final
2020-03-02 11:01:40	ga_s2bm_ard_3-2-1_52LHH_2020-03-02_final
2020-04-19 12:05:36	ga_s2bm_ard_3-2-1_50JKP_2020-04-19_final
2020-05-26 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2020-05-26_final.stac-item
2020-07-20 11:05:36	ga_s2bm_ard_3-2-1_52JDN_2020-07-20_final
2020-08-04 11:53:14	ga_s2bm_ard_3-2-1_50KRC_2020-08-04_final
2020-08-06 10:52:59	ga_s2bm_ard_3-2-1_53KLT_2020-08-06_final
2020-08-07 10:26:16	ga_s2bm_ard_3-2-1_54HUJ_2020-08-07_final
2020-10-05 10:54:25	ga_s2bm_ard_3-2-1_52JFT_2020-10-05_final
2020-11-01 10:44:09	ga_s2bm_ard_3-2-1_53JNN_2020-11-01_final
2020-11-29 10:07:11	ga_s2bm_ard_3-2-1_54HWE_2020-11-29_final
2020-12-20 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2020-12-20_final
2020-12-25 10:21:38	ga_s2bm_ard_3-2-1_54KXG_2020-12-25_final
2021-02-03 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2021-02-03_final
2021-02-04 09:57:11	ga_s2bm_ard_3-2-1_54HXE_2021-02-04_final
2021-02-22 10:51:09	ga_s2bm_ard_3-2-1_53LME_2021-02-22_final
2021-03-13 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2021-03-13_final
2021-03-14 10:53:13	ga_s2bm_ard_3-2-1_53KKS_2021-03-14_final
2021-03-17 11:01:49	ga_s2bm_ard_3-2-1_52LFH_2021-03-17_final
2021-04-18 11:45:09	ga_s2bm_ard_3-2-1_51JTK_2021-04-18_final
2021-06-21 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2021-06-21_final
2021-06-23 10:24:09	ga_s2bm_ard_3-2-1_54JWS_2021-06-23_final
2021-06-26 10:34:30	ga_s2bm_ard_3-2-1_54JTR_2021-06-26_final
2021-07-07 11:47:29	ga_s2bm_ard_3-2-1_50HLG_2021-07-07_final.stac-item
2021-08-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2021-08-15_final
2021-11-23 10:31:42	ga_s2bm_ard_3-2-1_54KUG_2021-11-23_final
2022-02-21 10:34:26	ga_s2bm_ard_3-2-1_53JPL_2022-02-21_final
2022-02-28 10:26:23	ga_s2bm_ard_3-2-1_54HUH_2022-02-28_final
2022-02-28 12:05:40	ga_s2bm_ard_3-2-1_49JGJ_2022-02-28_final
2022-03-01 11:31:39	ga_s2bm_ard_3-2-1_51LXD_2022-03-01_final
2022-05-31 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2022-05-31_final
2022-06-30 11:02:09	ga_s2bm_ard_3-2-1_52KFG_2022-06-30_final
2022-08-09 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2022-08-09_final
2022-09-02 10:44:04	ga_s2bm_ard_3-2-1_53JPN_2022-09-02_final.stac-item
2022-09-27 09:56:46	ga_s2bm_ard_3-2-1_54HXG_2022-09-27_final.stac-item
2022-09-30 13:21:43	ga_s2bm_ard_3-2-1_47LKG_2022-09-30_interim.stac-item
2022-10-02 10:40:39	ga_s2bm_ard_3-2-1_53LPG_2022-10-02_final.stac-item
2022-10-13 10:16:33	ga_s2bm_ard_3-2-1_54HTH_2022-10-13_final.stac-item
2022-11-23 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2022-11-23_final.stac-item
2022-12-09 10:07:33	ga_s2bm_ard_3-2-1_54HXC_2022-12-09_final.stac-item
2022-12-17 11:05:58	ga_s2bm_ard_3-2-1_52JEL_2022-12-17_final.stac-item
2022-12-21 10:41:42	ga_s2bm_ard_3-2-1_54KTG_2022-12-21_final.stac-item
2022-12-24 10:53:56	ga_s2bm_ard_3-2-1_52KHU_2022-12-24_final.stac-item
2022-12-27 11:01:26	ga_s2bm_ard_3-2-1_53LKD_2022-12-27_final.stac-item
2022-12-30 11:10:57	ga_s2bm_ard_3-2-1_52LGL_2022-12-30_final.stac-item
2023-01-09 11:14:28	ga_s2bm_ard_3-2-1_52JDS_2023-01-09_final.stac-item
2023-01-25 11:35:35	ga_s2bm_ard_3-2-1_50JQP_2023-01-25_final.stac-item
2023-01-29 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2023-01-29_final.stac-item
2023-03-01 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2023-03-01_final.stac-item
2023-03-26 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-03-26_final.stac-item
2023-03-29 11:44:41	ga_s2bm_ard_3-2-1_50JPT_2023-03-29_final.stac-item
2023-04-05 09:57:48	ga_s2bm_ard_3-2-1_54HWC_2023-04-05_final.stac-item
2023-05-31 10:16:35	ga_s2bm_ard_3-2-1_54HUH_2023-05-31_final.stac-item
2023-06-12 10:53:04	ga_s2bm_ard_3-2-1_53KKT_2023-06-12_final.stac-item
2023-07-01 11:23:55	ga_s2bm_ard_3-2-1_52KBV_2023-07-01_final.stac-item
2023-08-03 11:36:15	ga_s2bm_ard_3-2-1_51JVF_2023-08-03_final.stac-item
2023-11-11 11:36:01	ga_s2bm_ard_3-2-1_51JUG_2023-11-11_final.stac-item
2023-12-15 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2023-12-15_final.stac-item
2023-12-23 10:34:04	ga_s2bm_ard_3-2-1_53JRN_2023-12-23_final.stac-item
2024-01-07 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2024-01-07_final.stac-item
2024-01-09 10:21:45	ga_s2bm_ard_3-2-1_54KVG_2024-01-09_final.stac-item
2024-02-06 11:22:15	ga_s2bm_ard_3-2-1_51KZA_2024-02-06_final.stac-item
2024-02-13 11:13:40	ga_s2bm_ard_3-2-1_52KBA_2024-02-13_final.stac-item
2024-02-17 10:51:44	ga_s2bm_ard_3-2-1_53LLC_2024-02-17_final.stac-item
2024-02-20 11:02:01	ga_s2bm_ard_3-2-1_52KGG_2024-02-20_final.stac-item
2024-03-08 10:54:28	ga_s2bm_ard_3-2-1_52JFS_2024-03-08_final.stac-item
2024-03-21 11:03:00	ga_s2bm_ard_3-2-1_52KEC_2024-03-21_final.stac-item
2024-04-12 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-04-12_final.stac-item
2024-04-20 11:06:36	ga_s2bm_ard_3-2-1_52HBJ_2024-04-20_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

All years