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
2017-07-18 11:45:05	ga_s2bm_ard_3-2-1_50HMH_2017-07-18_final
2017-07-27 10:32:10	ga_s2bm_ard_3-2-1_53JNM_2017-07-27_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KZS_2017-11-19_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JXG_2018-02-24_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53JLK_2018-03-10_final
2018-03-15 11:39:58	ga_s2bm_ard_3-2-1_50HQK_2018-03-15_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_51HWD_2018-03-16_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52LBJ_2018-03-19_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYU_2018-03-29_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_51HXD_2018-05-25_final
2018-07-12 10:35:45	ga_s2bm_ard_3-2-1_53HPC_2018-07-12_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNH_2018-08-22_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGJ_2018-09-07_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JYK_2018-10-25_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51HUC_2018-10-28_final
2018-11-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2018-11-09_final
2018-11-18 11:01:54	ga_s2bm_ard_3-2-1_52KHG_2018-11-18_final
2018-11-18 11:03:19	ga_s2bm_ard_3-2-1_52KHA_2018-11-18_final
2018-12-04 11:23:02	ga_s2bm_ard_3-2-1_51KZT_2018-12-04_final
2019-03-18 11:06:35	ga_s2bm_ard_3-2-1_51HYD_2019-03-18_final
2019-03-24 11:24:19	ga_s2bm_ard_3-2-1_52JBT_2019-03-24_final
2019-04-07 11:01:35	ga_s2bm_ard_3-2-1_52LGJ_2019-04-07_final
2019-04-12 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2019-04-12_final
2019-04-12 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2019-04-12_final
2019-04-18 10:36:34	ga_s2bm_ard_3-2-1_53HLD_2019-04-18_final
2019-05-08 10:36:40	ga_s2bm_ard_3-2-1_53HPC_2019-05-08_final
2019-05-28 10:35:53	ga_s2bm_ard_3-2-1_53JQF_2019-05-28_final
2019-06-08 11:45:54	ga_s2bm_ard_3-2-1_50JQN_2019-06-08_final
2019-08-23 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2019-08-23_final
2019-10-22 12:03:21	ga_s2bm_ard_3-2-1_50KNC_2019-10-22_final
2020-01-05 11:13:17	ga_s2bm_ard_3-2-1_52KCB_2020-01-05_final
2020-01-08 11:24:27	ga_s2bm_ard_3-2-1_51JZM_2020-01-08_final
2020-01-30 10:24:11	ga_s2bm_ard_3-2-1_53JRM_2020-01-30_final
2020-08-13 10:45:40	ga_s2bm_ard_3-2-1_53JMG_2020-08-13_final
2020-09-01 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2020-09-01_final
2020-09-29 10:36:06	ga_s2bm_ard_3-2-1_53HPE_2020-09-29_final
2020-11-03 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2020-11-03_final
2020-11-03 11:24:00	ga_s2bm_ard_3-2-1_51KXQ_2020-11-03_final
2020-12-02 10:16:51	ga_s2bm_ard_3-2-1_53HQB_2020-12-02_final
2020-12-04 10:55:01	ga_s2bm_ard_3-2-1_52JFQ_2020-12-04_final
2021-01-07 10:36:58	ga_s2bm_ard_3-2-1_53HPA_2021-01-07_final
2021-01-16 11:04:43	ga_s2bm_ard_3-2-1_52JFR_2021-01-16_final
2021-01-31 11:53:50	ga_s2bm_ard_3-2-1_50KPA_2021-01-31_final
2021-02-11 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2021-02-11_final
2021-02-28 11:10:36	ga_s2bm_ard_3-2-1_52LHM_2021-02-28_final
2021-03-20 11:13:39	ga_s2bm_ard_3-2-1_51KZR_2021-03-20_final
2021-05-09 11:10:23	ga_s2bm_ard_3-2-1_52LHN_2021-05-09_final
2021-05-12 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-05-12_final
2021-05-18 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2021-05-18_final
2021-06-03 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-06-03_final
2021-06-21 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2021-06-21_final
2021-06-30 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2021-06-30_final
2021-07-01 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2021-07-01_final
2021-07-17 11:45:02	ga_s2bm_ard_3-2-1_51JTL_2021-07-17_final
2021-07-30 11:56:56	ga_s2bm_ard_3-2-1_50HLJ_2021-07-30_final
2021-11-05 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2021-11-05_final
2021-12-04 11:43:24	ga_s2bm_ard_3-2-1_51KUS_2021-12-04_final
2022-02-18 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2022-02-18_final
2022-04-02 10:34:28	ga_s2bm_ard_3-2-1_53JPL_2022-04-02_final
2022-04-03 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2022-04-03_final
2022-05-10 11:34:03	ga_s2bm_ard_3-2-1_51KXP_2022-05-10_final
2022-05-17 11:24:43	ga_s2bm_ard_3-2-1_51JWM_2022-05-17_final
2022-06-05 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2022-06-05_final
2022-06-19 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2022-06-19_final
2022-06-19 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2022-06-19_final
2022-07-05 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2022-07-05_final
2022-08-27 12:05:15	ga_s2bm_ard_3-2-1_49JGL_2022-08-27_final
2022-09-08 11:05:39	ga_s2bm_ard_3-2-1_52JCN_2022-09-08_final.stac-item
2022-10-10 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-10-10_final.stac-item
2022-11-18 10:36:32	ga_s2bm_ard_3-2-1_53HPC_2022-11-18_final.stac-item
2022-11-27 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2022-11-27_final.stac-item
2023-01-20 10:46:22	ga_s2bm_ard_3-2-1_53HLD_2023-01-20_final.stac-item
2023-02-12 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2023-02-12_final.stac-item
2023-03-23 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2023-03-23_final.stac-item
2023-03-29 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2023-03-29_final.stac-item
2023-04-08 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-04-08_final.stac-item
2023-04-12 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2023-04-12_final.stac-item
2023-04-25 11:35:43	ga_s2bm_ard_3-2-1_51JVH_2023-04-25_final.stac-item
2023-04-25 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2023-04-25_final.stac-item
2023-06-18 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-06-18_final.stac-item
2023-06-20 11:56:18	ga_s2bm_ard_3-2-1_50JKM_2023-06-20_final.stac-item
2023-09-01 10:24:44	ga_s2bm_ard_3-2-1_53JQL_2023-09-01_final.stac-item
2023-09-12 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-09-12_final.stac-item
2023-11-15 11:10:25	ga_s2bm_ard_3-2-1_52LHN_2023-11-15_final.stac-item
2023-11-28 11:25:21	ga_s2bm_ard_3-2-1_51JXJ_2023-11-28_final.stac-item
2023-11-29 10:53:39	ga_s2bm_ard_3-2-1_53KKQ_2023-11-29_final.stac-item
2023-11-30 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2023-11-30_final.stac-item
2023-12-09 10:55:38	ga_s2bm_ard_3-2-1_52JGM_2023-12-09_final.stac-item
2023-12-12 11:05:24	ga_s2bm_ard_3-2-1_52JFN_2023-12-12_final.stac-item
2024-01-05 10:45:14	ga_s2bm_ard_3-2-1_53JKJ_2024-01-05_final.stac-item
2024-01-08 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2024-01-08_final.stac-item
2024-01-16 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2024-01-16_nrt.stac-item
2024-02-21 10:34:37	ga_s2bm_ard_3-2-1_53JPL_2024-02-21_final.stac-item
2024-02-29 11:34:04	ga_s2bm_ard_3-2-1_51KXP_2024-02-29_final.stac-item
2024-03-02 10:36:56	ga_s2bm_ard_3-2-1_53HPA_2024-03-02_final.stac-item
2024-03-07 11:22:28	ga_s2bm_ard_3-2-1_52KCE_2024-03-07_final.stac-item
2024-03-11 11:02:43	ga_s2bm_ard_3-2-1_52KFD_2024-03-11_final.stac-item
2024-03-11 11:03:59	ga_s2bm_ard_3-2-1_52KGU_2024-03-11_final.stac-item
2024-03-13 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2024-03-13_final.stac-item
2024-05-03 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2024-05-03_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