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
2017-07-14 10:23:07	ga_s2bm_ard_3-2-1_54JUS_2017-07-14_final
2017-10-05 12:13:31	ga_s2bm_ard_3-2-1_50KKV_2017-10-05_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKV_2017-10-12_final
2017-11-20 10:55:15	ga_s2bm_ard_3-2-1_52JEM_2017-11-20_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-03-31_final
2018-04-03 10:27:04	ga_s2bm_ard_3-2-1_53HPA_2018-04-03_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JEQ_2018-05-02_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_54KTU_2018-05-13_final
2018-06-11 11:03:54	ga_s2bm_ard_3-2-1_52HDK_2018-06-11_final.stac-item
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_52KDB_2018-07-04_final
2018-07-10 09:53:10	ga_s2bm_ard_3-2-1_54HYC_2018-07-10_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KZQ_2018-07-27_final
2018-08-19 11:35:15	ga_s2bm_ard_3-2-1_51JVH_2018-08-19_final
2018-08-21 12:13:39	ga_s2bm_ard_3-2-1_50KKU_2018-08-21_final
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_51KWT_2018-08-29_final
2018-10-03 10:40:08	ga_s2bm_ard_3-2-1_53LPE_2018-10-03_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_49JGL_2018-10-27_final
2018-11-24 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2018-11-24_final
2018-12-15 10:55:25	ga_s2bm_ard_3-2-1_52JFN_2018-12-15_final
2019-01-06 09:57:44	ga_s2bm_ard_3-2-1_54HWC_2019-01-06_final
2019-01-15 10:20:42	ga_s2bm_ard_3-2-1_54LXL_2019-01-15_final
2019-03-19 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2019-03-19_final
2019-04-07 11:03:38	ga_s2bm_ard_3-2-1_52KEA_2019-04-07_final
2019-04-11 10:44:14	ga_s2bm_ard_3-2-1_53JMN_2019-04-11_final
2019-06-14 10:24:23	ga_s2bm_ard_3-2-1_54JUS_2019-06-14_final
2019-06-24 12:05:52	ga_s2bm_ard_3-2-1_49JGJ_2019-06-24_final
2019-07-04 12:06:04	ga_s2bm_ard_3-2-1_50JKN_2019-07-04_final
2019-07-25 11:32:54	ga_s2bm_ard_3-2-1_51KXV_2019-07-25_final
2019-07-27 10:31:32	ga_s2bm_ard_3-2-1_54LWH_2019-07-27_final
2019-07-28 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-07-28_final
2019-08-13 10:26:22	ga_s2bm_ard_3-2-1_54HTJ_2019-08-13_final
2019-08-21 11:23:08	ga_s2bm_ard_3-2-1_52KCC_2019-08-21_final
2019-09-20 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2019-09-20_final
2019-10-12 10:26:08	ga_s2bm_ard_3-2-1_53HPE_2019-10-12_final
2019-10-25 10:36:26	ga_s2bm_ard_3-2-1_53HMD_2019-10-25_final
2019-11-05 10:07:30	ga_s2bm_ard_3-2-1_54HVD_2019-11-05_final
2019-11-15 11:42:12	ga_s2bm_ard_3-2-1_51KVB_2019-11-15_final
2019-11-16 11:15:17	ga_s2bm_ard_3-2-1_52JCP_2019-11-16_final
2019-12-19 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-12-19_final
2020-01-01 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-01_final
2020-01-20 10:26:23	ga_s2bm_ard_3-2-1_53HPD_2020-01-20_final
2020-02-22 10:35:05	ga_s2bm_ard_3-2-1_53JNJ_2020-02-22_final
2020-03-30 10:23:41	ga_s2bm_ard_3-2-1_54KVU_2020-03-30_final
2020-05-29 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2020-05-29_final
2020-07-05 10:16:19	ga_s2bm_ard_3-2-1_54HUJ_2020-07-05_final
2020-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2020-07-16_final
2020-07-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-07-28_final
2020-08-20 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2020-08-20_final
2020-08-22 11:13:22	ga_s2bm_ard_3-2-1_52KDB_2020-08-22_final
2020-08-30 10:36:06	ga_s2bm_ard_3-2-1_53HPE_2020-08-30_final
2020-10-09 10:36:20	ga_s2bm_ard_3-2-1_53HLE_2020-10-09_final
2020-10-30 11:42:02	ga_s2bm_ard_3-2-1_51LVC_2020-10-30_final
2020-11-02 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2020-11-02_final
2021-01-22 11:24:22	ga_s2bm_ard_3-2-1_51JYN_2021-01-22_final
2021-01-23 10:51:50	ga_s2bm_ard_3-2-1_53KNB_2021-01-23_final
2021-02-18 11:12:51	ga_s2bm_ard_3-2-1_52KFC_2021-02-18_final
2021-03-29 10:06:30	ga_s2bm_ard_3-2-1_54HYG_2021-03-29_final
2021-04-09 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2021-04-09_final
2021-07-13 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2021-07-13_final
2021-07-23 10:20:01	ga_s2bm_ard_3-2-1_54LXP_2021-07-23_final
2021-08-30 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2021-08-30_final
2021-12-31 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2021-12-31_final
2022-01-09 12:06:06	ga_s2bm_ard_3-2-1_50JKM_2022-01-09_final
2022-04-15 10:43:48	ga_s2bm_ard_3-2-1_53KNP_2022-04-15_final
2022-05-06 10:11:58	ga_s2bm_ard_3-2-1_54KXF_2022-05-06_final
2022-06-21 10:30:31	ga_s2bm_ard_3-2-1_54LWM_2022-06-21_final
2022-08-30 10:31:32	ga_s2bm_ard_3-2-1_54LUH_2022-08-30_final
2022-09-19 12:14:23	ga_s2bm_ard_3-2-1_49KHP_2022-09-19_final.stac-item
2022-10-01 11:11:39	ga_s2bm_ard_3-2-1_52LEJ_2022-10-01_final.stac-item
2022-10-17 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2022-10-17_final.stac-item
2022-11-18 10:30:07	ga_s2bm_ard_3-2-1_54LXN_2022-11-18_final.stac-item
2022-11-18 10:35:44	ga_s2bm_ard_3-2-1_53JQF_2022-11-18_final.stac-item
2022-12-05 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2022-12-05_final.stac-item
2022-12-24 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-12-24_final.stac-item
2023-01-03 10:53:56	ga_s2bm_ard_3-2-1_52KHU_2023-01-03_final.stac-item
2023-01-11 10:13:42	ga_s2bm_ard_3-2-1_54JZT_2023-01-11_final.stac-item
2023-01-27 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-01-27_final.stac-item
2023-02-16 10:34:31	ga_s2bm_ard_3-2-1_53JQL_2023-02-16_final.stac-item
2023-03-01 10:41:30	ga_s2bm_ard_3-2-1_54LTH_2023-03-01_nrt.stac-item
2023-03-08 10:31:38	ga_s2bm_ard_3-2-1_54LTH_2023-03-08_nrt.stac-item
2023-03-29 10:06:49	ga_s2bm_ard_3-2-1_54HVG_2023-03-29_final.stac-item
2023-04-01 10:16:24	ga_s2bm_ard_3-2-1_54HTJ_2023-04-01_final.stac-item
2023-04-07 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2023-04-07_final.stac-item
2023-06-03 10:26:54	ga_s2bm_ard_3-2-1_53HPB_2023-06-03_final.stac-item
2023-06-27 10:05:34	ga_s2bm_ard_3-2-1_54JYM_2023-06-27_final.stac-item
2023-07-05 11:03:40	ga_s2bm_ard_3-2-1_52KEA_2023-07-05_final.stac-item
2023-08-03 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-08-03_final.stac-item
2023-08-24 11:03:46	ga_s2bm_ard_3-2-1_52KGV_2023-08-24_final.stac-item
2023-09-02 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-09-02_final.stac-item
2023-09-14 10:30:44	ga_s2bm_ard_3-2-1_54LWL_2023-09-14_final.stac-item
2023-10-06 11:16:34	ga_s2bm_ard_3-2-1_52HBJ_2023-10-06_nrt.stac-item
2023-10-10 10:55:43	ga_s2bm_ard_3-2-1_52JGM_2023-10-10_final.stac-item
2023-10-29 11:24:06	ga_s2bm_ard_3-2-1_52KBU_2023-10-29_final.stac-item
2023-12-23 10:30:27	ga_s2bm_ard_3-2-1_54LWM_2023-12-23_final.stac-item
2023-12-27 10:17:12	ga_s2bm_ard_3-2-1_54HVE_2023-12-27_final.stac-item
2024-01-27 09:47:43	ga_s2bm_ard_3-2-1_54HYC_2024-01-27_final.stac-item
2024-01-28 10:52:44	ga_s2bm_ard_3-2-1_53KNT_2024-01-28_final.stac-item
2024-02-09 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2024-02-09_final.stac-item
2024-02-10 11:01:52	ga_s2bm_ard_3-2-1_53KLB_2024-02-10_final.stac-item
2024-03-13 11:46:54	ga_s2bm_ard_3-2-1_50HPH_2024-03-13_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