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
2017-12-31 12:02:39	ga_s2bm_ard_3-2-1_50KNC_2017-12-31_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_52KCA_2018-01-15_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51LWC_2018-02-10_final
2018-04-13 12:13:19	ga_s2bm_ard_3-2-1_50KKA_2018-04-13_final
2018-05-24 11:37:57	ga_s2bm_ard_3-2-1_51KUV_2018-05-24_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_51JXH_2018-06-04_final
2018-07-29 12:02:46	ga_s2bm_ard_3-2-1_50JKT_2018-07-29_final
2018-09-15 11:21:46	ga_s2bm_ard_3-2-1_51KZA_2018-09-15_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KWB_2018-09-18_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50KLU_2018-09-27_final
2018-12-17 11:37:21	ga_s2bm_ard_3-2-1_50HNG_2018-12-17_final.stac-item
2018-12-20 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2018-12-20_final
2019-03-01 11:13:46	ga_s2bm_ard_3-2-1_52KDV_2019-03-01_final
2019-03-27 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2019-03-27_final
2019-08-14 11:32:57	ga_s2bm_ard_3-2-1_51KYU_2019-08-14_final
2019-12-09 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2019-12-09_final
2019-12-19 11:26:49	ga_s2bm_ard_3-2-1_51HWC_2019-12-19_final.stac-item
2020-01-04 11:46:38	ga_s2bm_ard_3-2-1_50HQJ_2020-01-04_final
2020-02-14 11:12:27	ga_s2bm_ard_3-2-1_52KEE_2020-02-14_final
2020-02-23 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2020-02-23_final
2020-03-24 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2020-03-24_final
2020-03-28 11:26:30	ga_s2bm_ard_3-2-1_51HUE_2020-03-28_final
2020-04-19 12:04:38	ga_s2bm_ard_3-2-1_50JKT_2020-04-19_final
2020-05-15 10:45:59	ga_s2bm_ard_3-2-1_52JGL_2020-05-15_final
2020-06-30 11:05:07	ga_s2bm_ard_3-2-1_52JDQ_2020-06-30_final
2020-07-03 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2020-07-03_final
2020-07-18 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2020-07-18_final
2020-07-21 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-07-21_final
2020-07-29 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2020-07-29_final
2020-08-22 11:15:20	ga_s2bm_ard_3-2-1_52JBP_2020-08-22_final
2020-10-07 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2020-10-07_final
2020-10-10 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2020-10-10_final
2020-10-14 11:23:10	ga_s2bm_ard_3-2-1_52KBC_2020-10-14_final
2020-10-14 11:23:53	ga_s2bm_ard_3-2-1_52KBV_2020-10-14_final
2020-10-20 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2020-10-20_final
2020-11-09 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2020-11-09_final
2020-11-23 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2020-11-23_final
2021-01-25 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2021-01-25_final
2021-01-29 11:16:05	ga_s2bm_ard_3-2-1_52JBL_2021-01-29_final
2021-02-21 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2021-02-21_final
2021-03-10 11:13:53	ga_s2bm_ard_3-2-1_51KZQ_2021-03-10_final
2021-04-12 11:22:45	ga_s2bm_ard_3-2-1_52KCD_2021-04-12_final
2021-04-15 11:33:05	ga_s2bm_ard_3-2-1_51KXT_2021-04-15_final
2021-04-29 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2021-04-29_final
2021-05-25 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2021-05-25_final
2021-07-17 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2021-07-17_final
2021-08-13 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2021-08-13_final
2021-08-26 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-08-26_final
2021-08-27 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2021-08-27_final
2021-09-19 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2021-09-19_final
2021-10-02 11:35:56	ga_s2bm_ard_3-2-1_51JVG_2021-10-02_final
2021-10-19 11:22:43	ga_s2bm_ard_3-2-1_51KYV_2021-10-19_final
2021-10-22 11:36:30	ga_s2bm_ard_3-2-1_51HUE_2021-10-22_final
2021-10-29 11:24:06	ga_s2bm_ard_3-2-1_52KBU_2021-10-29_final
2021-11-12 11:03:34	ga_s2bm_ard_3-2-1_52KEA_2021-11-12_final
2022-02-13 11:13:48	ga_s2bm_ard_3-2-1_52KBV_2022-02-13_final
2022-04-07 11:23:00	ga_s2bm_ard_3-2-1_52KCC_2022-04-07_final
2022-05-09 12:04:28	ga_s2bm_ard_3-2-1_49KGP_2022-05-09_final
2022-05-10 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2022-05-10_final
2022-05-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-05-20_final
2022-06-11 12:14:44	ga_s2bm_ard_3-2-1_49JGN_2022-06-11_final
2022-07-22 11:42:51	ga_s2bm_ard_3-2-1_51KUV_2022-07-22_final
2022-07-22 11:43:02	ga_s2bm_ard_3-2-1_51KVU_2022-07-22_final
2022-08-10 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2022-08-10_final
2022-09-01 11:13:38	ga_s2bm_ard_3-2-1_52KCA_2022-09-01_final.stac-item
2022-10-31 11:14:22	ga_s2bm_ard_3-2-1_52JBT_2022-10-31_final.stac-item
2022-12-10 11:15:14	ga_s2bm_ard_3-2-1_52JCP_2022-12-10_final.stac-item
2023-01-11 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-01-11_final.stac-item
2023-02-14 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2023-02-14_final.stac-item
2023-02-17 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-02-17_final.stac-item
2023-03-03 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2023-03-03_final.stac-item
2023-03-16 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2023-03-16_final.stac-item
2023-04-01 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2023-04-01_final.stac-item
2023-04-02 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-04-02_final.stac-item
2023-04-02 11:25:13	ga_s2bm_ard_3-2-1_51JXK_2023-04-02_final.stac-item
2023-04-09 11:13:35	ga_s2bm_ard_3-2-1_52KDA_2023-04-09_final.stac-item
2023-04-15 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2023-04-15_final.stac-item
2023-05-08 11:43:21	ga_s2bm_ard_3-2-1_51KTT_2023-05-08_final.stac-item
2023-05-29 11:13:44	ga_s2bm_ard_3-2-1_52KBA_2023-05-29_final.stac-item
2023-07-03 12:04:38	ga_s2bm_ard_3-2-1_50KKU_2023-07-03_final.stac-item
2023-08-18 10:45:52	ga_s2bm_ard_3-2-1_52JGM_2023-08-18_final.stac-item
2023-09-02 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2023-09-02_final.stac-item
2023-09-29 11:21:13	ga_s2bm_ard_3-2-1_51LZF_2023-09-29_nrt.stac-item
2023-10-15 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-10-15_final.stac-item
2023-11-21 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-11-21_final.stac-item
2023-11-21 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2023-11-21_final.stac-item
2023-11-29 10:55:28	ga_s2bm_ard_3-2-1_52JFN_2023-11-29_final.stac-item
2023-12-04 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-12-04_final.stac-item
2023-12-04 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2023-12-04_final.stac-item
2023-12-18 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2023-12-18_final.stac-item
2024-01-03 11:46:16	ga_s2bm_ard_3-2-1_50JQL_2024-01-03_final.stac-item
2024-01-08 10:54:47	ga_s2bm_ard_3-2-1_52JFR_2024-01-08_final.stac-item
2024-01-14 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2024-01-14_final.stac-item
2024-01-27 11:23:09	ga_s2bm_ard_3-2-1_51KXT_2024-01-27_final.stac-item
2024-02-07 10:55:05	ga_s2bm_ard_3-2-1_52JGP_2024-02-07_final.stac-item
2024-03-09 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2024-03-09_final.stac-item
2024-03-21 11:06:24	ga_s2bm_ard_3-2-1_52HBK_2024-03-21_final.stac-item
2024-04-03 11:12:45	ga_s2bm_ard_3-2-1_52KED_2024-04-03_final.stac-item
2024-04-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-04-15_final.stac-item
2024-05-19 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2024-05-19_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