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
2017-07-05 11:32:58	ga_s2bm_ard_3-2-1_50HPK_2017-07-05_final
2018-01-25 11:07:05	ga_s2bm_ard_3-2-1_51JYL_2018-01-25_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCG_2018-01-28_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52LGL_2018-02-24_final
2018-02-27 11:19:00	ga_s2bm_ard_3-2-1_51LZE_2018-02-27_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKN_2018-03-31_final
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51HUD_2018-04-28_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HNJ_2018-09-01_final
2018-09-01 11:46:11	ga_s2bm_ard_3-2-1_50HPK_2018-09-01_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HNK_2018-10-01_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51HUE_2018-10-15_final
2018-11-21 11:16:19	ga_s2bm_ard_3-2-1_51HYE_2018-11-21_final
2018-12-04 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2018-12-04_final
2019-01-03 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2019-01-03_final
2019-01-16 11:34:49	ga_s2bm_ard_3-2-1_50JRS_2019-01-16_final
2019-01-20 11:12:46	ga_s2bm_ard_3-2-1_52KED_2019-01-20_final
2019-01-22 11:56:22	ga_s2bm_ard_3-2-1_50JML_2019-01-22_final
2019-02-12 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-02-12_final
2019-02-18 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2019-02-18_final
2019-04-10 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2019-04-10_final
2019-04-29 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-04-29_final
2019-05-16 11:33:25	ga_s2bm_ard_3-2-1_51KVT_2019-05-16_final
2019-08-08 11:16:44	ga_s2bm_ard_3-2-1_51HYD_2019-08-08_final
2019-08-11 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2019-08-11_final
2019-08-13 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-08-13_final
2019-09-19 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2019-09-19_final
2019-10-06 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2019-10-06_final
2019-11-25 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2019-11-25_final
2019-11-30 10:55:59	ga_s2bm_ard_3-2-1_52JEL_2019-11-30_final
2019-12-25 11:44:22	ga_s2bm_ard_3-2-1_50KQU_2019-12-25_final
2020-01-08 11:25:08	ga_s2bm_ard_3-2-1_51JWK_2020-01-08_final
2020-02-04 11:16:30	ga_s2bm_ard_3-2-1_51HYD_2020-02-04_final
2020-02-11 11:06:05	ga_s2bm_ard_3-2-1_52JBL_2020-02-11_final
2020-03-14 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2020-03-14_final
2020-06-02 11:44:29	ga_s2bm_ard_3-2-1_51JUN_2020-06-02_final
2020-06-13 11:14:26	ga_s2bm_ard_3-2-1_51JZN_2020-06-13_final
2020-07-13 11:16:04	ga_s2bm_ard_3-2-1_52JCL_2020-07-13_final
2020-07-20 11:03:55	ga_s2bm_ard_3-2-1_52KDV_2020-07-20_final
2020-11-20 11:15:51	ga_s2bm_ard_3-2-1_52JBM_2020-11-20_final
2020-11-26 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2020-11-26_final
2020-11-30 11:14:20	ga_s2bm_ard_3-2-1_52JCT_2020-11-30_final
2020-11-30 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2020-11-30_final
2020-12-23 11:21:35	ga_s2bm_ard_3-2-1_52LBJ_2020-12-23_final
2020-12-23 11:22:04	ga_s2bm_ard_3-2-1_52KBG_2020-12-23_final
2020-12-24 10:53:11	ga_s2bm_ard_3-2-1_52KHB_2020-12-24_final
2021-02-07 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-02-07_final
2021-02-11 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-02-11_final
2021-02-17 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2021-02-17_final
2021-03-13 11:24:11	ga_s2bm_ard_3-2-1_51KXP_2021-03-13_final
2021-05-05 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2021-05-05_final
2021-06-01 11:26:59	ga_s2bm_ard_3-2-1_51HVC_2021-06-01_final
2021-08-09 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-08-09_final
2021-09-02 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2021-09-02_final
2021-10-22 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2021-10-22_final
2021-11-11 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-11-11_final
2021-11-12 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-11-12_final
2021-12-18 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2021-12-18_final
2022-01-03 11:42:05	ga_s2bm_ard_3-2-1_51KWB_2022-01-03_final
2022-01-20 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2022-01-20_final
2022-01-31 11:03:14	ga_s2bm_ard_3-2-1_52KEB_2022-01-31_final
2022-03-25 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2022-03-25_final
2022-03-27 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2022-03-27_final
2022-04-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-04-24_final
2022-05-09 12:05:26	ga_s2bm_ard_3-2-1_49JGK_2022-05-09_final
2022-05-30 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-05-30_final
2022-06-16 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2022-06-16_final
2022-06-26 11:21:30	ga_s2bm_ard_3-2-1_51LZE_2022-06-26_final
2022-08-22 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2022-08-22_final
2022-08-31 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2022-08-31_final
2022-09-04 11:25:18	ga_s2bm_ard_3-2-1_51JVK_2022-09-04_final.stac-item
2022-10-04 11:25:19	ga_s2bm_ard_3-2-1_51JYJ_2022-10-04_final.stac-item
2022-10-07 11:33:39	ga_s2bm_ard_3-2-1_51KWR_2022-10-07_final.stac-item
2022-10-17 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2022-10-17_final.stac-item
2022-11-07 11:03:33	ga_s2bm_ard_3-2-1_52KEA_2022-11-07_final.stac-item
2022-11-17 11:03:31	ga_s2bm_ard_3-2-1_52KFA_2022-11-17_final.stac-item
2023-01-18 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2023-01-18_final.stac-item
2023-02-21 11:23:20	ga_s2bm_ard_3-2-1_52KBB_2023-02-21_final.stac-item
2023-02-25 11:03:10	ga_s2bm_ard_3-2-1_52KHB_2023-02-25_final.stac-item
2023-04-01 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-04-01_final.stac-item
2023-04-12 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2023-04-12_final.stac-item
2023-04-28 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-04-28_final.stac-item
2023-05-05 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-05-05_final.stac-item
2023-05-24 12:04:34	ga_s2bm_ard_3-2-1_50KMU_2023-05-24_final.stac-item
2023-06-04 11:34:58	ga_s2bm_ard_3-2-1_51JWL_2023-06-04_final.stac-item
2023-06-10 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-06-10_nrt.stac-item
2023-06-13 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2023-06-13_final.stac-item
2023-06-27 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2023-06-27_final.stac-item
2023-07-01 11:21:31	ga_s2bm_ard_3-2-1_51LZE_2023-07-01_final.stac-item
2023-07-02 10:53:33	ga_s2bm_ard_3-2-1_52KHA_2023-07-02_final.stac-item
2023-08-16 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2023-08-16_final.stac-item
2023-09-15 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-09-15_final.stac-item
2024-01-08 10:52:30	ga_s2bm_ard_3-2-1_52KHE_2024-01-08_final.stac-item
2024-02-20 11:03:14	ga_s2bm_ard_3-2-1_52KGB_2024-02-20_final.stac-item
2024-02-23 11:16:37	ga_s2bm_ard_3-2-1_51HYD_2024-02-23_final.stac-item
2024-02-26 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2024-02-26_final.stac-item
2024-03-14 11:11:13	ga_s2bm_ard_3-2-1_52LFK_2024-03-14_final.stac-item
2024-03-20 11:31:48	ga_s2bm_ard_3-2-1_51LYC_2024-03-20_final.stac-item
2024-04-22 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2024-04-22_final.stac-item
2024-04-28 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2024-04-28_final.stac-item
2024-05-05 13:31:33	ga_s2bm_ard_3-2-1_47LKH_2024-05-05_interim.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