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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50KQG_2017-07-31_final.stac-item
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KWV_2017-09-03_final
2017-11-10 10:53:01	ga_s2bm_ard_3-2-1_52JFP_2017-11-10_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51JWG_2017-12-09_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KVA_2018-01-04_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JVG_2018-02-27_final
2018-04-27 11:48:10	ga_s2bm_ard_3-2-1_50KQF_2018-04-27_final.stac-item
2018-05-30 12:04:45	ga_s2bm_ard_3-2-1_49JGL_2018-05-30_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HTC_2018-06-20_final
2018-07-23 11:40:57	ga_s2bm_ard_3-2-1_51KUU_2018-07-23_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KYV_2018-09-08_final
2018-11-17 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2018-11-17_final
2018-12-07 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2018-12-07_final
2019-01-15 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2019-01-15_final
2019-02-28 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2019-02-28_final
2019-03-17 11:36:56	ga_s2bm_ard_3-2-1_51HUC_2019-03-17_final
2019-03-27 11:31:58	ga_s2bm_ard_3-2-1_51LXC_2019-03-27_final
2019-04-23 11:21:26	ga_s2bm_ard_3-2-1_51LZE_2019-04-23_final
2019-05-27 11:05:28	ga_s2bm_ard_3-2-1_52JDP_2019-05-27_final
2019-05-28 12:14:03	ga_s2bm_ard_3-2-1_49KHR_2019-05-28_final
2019-06-05 11:31:47	ga_s2bm_ard_3-2-1_51LYD_2019-06-05_final
2019-07-18 11:44:07	ga_s2bm_ard_3-2-1_51KUQ_2019-07-18_final
2019-08-14 11:33:54	ga_s2bm_ard_3-2-1_51KUR_2019-08-14_final
2019-09-07 11:14:25	ga_s2bm_ard_3-2-1_52JBT_2019-09-07_final
2019-09-27 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2019-09-27_final
2019-10-19 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2019-10-19_final
2019-10-23 11:36:33	ga_s2bm_ard_3-2-1_51HTE_2019-10-23_final
2019-11-25 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2019-11-25_final
2019-11-30 10:55:37	ga_s2bm_ard_3-2-1_52JGM_2019-11-30_final
2019-12-12 11:32:09	ga_s2bm_ard_3-2-1_51KWB_2019-12-12_final
2020-01-03 12:14:36	ga_s2bm_ard_3-2-1_49JGN_2020-01-03_final
2020-01-28 11:23:54	ga_s2bm_ard_3-2-1_51KWQ_2020-01-28_final
2020-02-13 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2020-02-13_final
2020-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2020-03-13_final
2020-05-24 11:15:43	ga_s2bm_ard_3-2-1_51JXH_2020-05-24_final
2020-06-26 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2020-06-26_final
2020-10-07 11:32:11	ga_s2bm_ard_3-2-1_51KYB_2020-10-07_final
2020-11-16 11:36:24	ga_s2bm_ard_3-2-1_51HVE_2020-11-16_final
2020-11-20 11:14:53	ga_s2bm_ard_3-2-1_52JBR_2020-11-20_final
2020-12-19 11:43:32	ga_s2bm_ard_3-2-1_51KVR_2020-12-19_final
2020-12-30 11:16:42	ga_s2bm_ard_3-2-1_51HWD_2020-12-30_final
2021-01-07 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2021-01-07_final
2021-02-07 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2021-02-07_final
2021-02-15 11:06:16	ga_s2bm_ard_3-2-1_52HDK_2021-02-15_final.stac-item
2021-03-16 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2021-03-16_final
2021-04-02 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2021-04-02_final
2021-06-01 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2021-06-01_final
2021-06-20 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-06-20_final
2021-06-23 12:04:14	ga_s2bm_ard_3-2-1_50KKV_2021-06-23_final
2021-07-24 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-24_final
2021-09-22 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2021-09-22_final
2021-10-19 11:25:22	ga_s2bm_ard_3-2-1_51JYJ_2021-10-19_final
2021-12-07 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2021-12-07_final
2022-01-07 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2022-01-07_final
2022-01-27 11:24:09	ga_s2bm_ard_3-2-1_51KWP_2022-01-27_final
2022-02-05 11:53:19	ga_s2bm_ard_3-2-1_50KNC_2022-02-05_final
2022-02-09 11:34:00	ga_s2bm_ard_3-2-1_51KXP_2022-02-09_final
2022-02-11 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-11_final
2022-04-02 12:13:51	ga_s2bm_ard_3-2-1_50KKA_2022-04-02_final
2022-06-05 11:54:12	ga_s2bm_ard_3-2-1_50KMV_2022-06-05_final
2022-06-09 11:34:07	ga_s2bm_ard_3-2-1_51KXP_2022-06-09_final
2022-07-15 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2022-07-15_final
2022-07-18 12:03:49	ga_s2bm_ard_3-2-1_50KKB_2022-07-18_final
2022-07-22 11:47:07	ga_s2bm_ard_3-2-1_50HPH_2022-07-22_final
2022-08-08 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2022-08-08_final
2022-08-12 11:14:50	ga_s2bm_ard_3-2-1_52JDR_2022-08-12_final
2022-08-14 11:56:11	ga_s2bm_ard_3-2-1_50JMM_2022-08-14_final
2022-08-18 11:33:55	ga_s2bm_ard_3-2-1_51KXQ_2022-08-18_final
2022-08-18 11:34:31	ga_s2bm_ard_3-2-1_51JVN_2022-08-18_final
2022-09-11 12:51:01	ga_s2bm_ard_3-2-1_48LXP_2022-09-11_interim.stac-item
2022-09-27 11:32:51	ga_s2bm_ard_3-2-1_51KYU_2022-09-27_final.stac-item
2022-10-24 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2022-10-24_final.stac-item
2022-11-03 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2022-11-03_final.stac-item
2022-11-19 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2022-11-19_final.stac-item
2022-12-19 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-12-19_final.stac-item
2023-01-18 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-18_final.stac-item
2023-01-24 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2023-01-24_final.stac-item
2023-03-03 11:22:43	ga_s2bm_ard_3-2-1_51KYV_2023-03-03_final.stac-item
2023-03-06 11:32:32	ga_s2bm_ard_3-2-1_51KWA_2023-03-06_final.stac-item
2023-03-26 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2023-03-26_final.stac-item
2023-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KVV_2023-05-28_final.stac-item
2023-06-02 10:54:25	ga_s2bm_ard_3-2-1_52JFT_2023-06-02_final.stac-item
2023-06-14 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2023-06-14_final.stac-item
2023-08-13 11:32:46	ga_s2bm_ard_3-2-1_51KXV_2023-08-13_final.stac-item
2023-08-20 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2023-08-20_final.stac-item
2023-09-01 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-09-01_final.stac-item
2023-09-02 11:32:34	ga_s2bm_ard_3-2-1_51KWA_2023-09-02_final.stac-item
2023-09-18 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2023-09-18_final.stac-item
2023-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2023-10-05_final.stac-item
2023-10-08 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2023-10-08_final.stac-item
2023-10-15 11:41:21	ga_s2bm_ard_3-2-1_51LUF_2023-10-15_final.stac-item
2023-10-25 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2023-10-25_final.stac-item
2023-11-21 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-11-21_final.stac-item
2023-11-23 12:14:16	ga_s2bm_ard_3-2-1_49KHP_2023-11-23_final.stac-item
2023-12-11 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2023-12-11_final.stac-item
2024-01-01 11:04:15	ga_s2bm_ard_3-2-1_52JFT_2024-01-01_final.stac-item
2024-01-23 11:41:32	ga_s2bm_ard_3-2-1_51LUE_2024-01-23_final.stac-item
2024-01-24 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2024-01-24_final.stac-item
2024-01-26 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2024-01-26_final.stac-item
2024-03-20 11:31:56	ga_s2bm_ard_3-2-1_51LXC_2024-03-20_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