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
2017-09-04 11:02:04	ga_s2bm_ard_3-2-1_52JDT_2017-09-04_final
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KUU_2017-10-06_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51KZP_2017-10-07_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWB_2017-11-22_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52JDR_2018-01-22_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVP_2018-03-02_final
2018-04-27 11:54:58	ga_s2bm_ard_3-2-1_50HNK_2018-04-27_final
2018-05-04 11:38:16	ga_s2bm_ard_3-2-1_51KUU_2018-05-04_final
2018-05-22 11:04:22	ga_s2bm_ard_3-2-1_52JEL_2018-05-22_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51KZP_2018-07-27_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_50KMC_2018-09-07_final
2018-10-05 11:16:54	ga_s2bm_ard_3-2-1_51KZB_2018-10-05_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KZQ_2018-10-15_final
2018-11-14 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2018-11-14_final
2018-12-18 11:05:46	ga_s2bm_ard_3-2-1_52JCM_2018-12-18_final
2018-12-27 11:36:44	ga_s2bm_ard_3-2-1_50HPJ_2018-12-27_final.stac-item
2019-01-29 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-01-29_final
2019-02-13 10:55:46	ga_s2bm_ard_3-2-1_52JFM_2019-02-13_final
2019-02-14 12:05:44	ga_s2bm_ard_3-2-1_49JGJ_2019-02-14_final
2019-03-15 10:54:45	ga_s2bm_ard_3-2-1_52JFR_2019-03-15_final
2019-03-24 11:24:26	ga_s2bm_ard_3-2-1_51JXN_2019-03-24_final
2019-03-31 11:16:39	ga_s2bm_ard_3-2-1_51HYD_2019-03-31_final
2019-04-29 11:45:32	ga_s2bm_ard_3-2-1_50JNQ_2019-04-29_final
2019-05-03 11:25:17	ga_s2bm_ard_3-2-1_51JXK_2019-05-03_final
2019-07-05 11:32:49	ga_s2bm_ard_3-2-1_51KWV_2019-07-05_final
2019-08-20 11:56:19	ga_s2bm_ard_3-2-1_50JKM_2019-08-20_final
2019-09-23 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2019-09-23_final
2019-09-26 11:41:18	ga_s2bm_ard_3-2-1_51LUF_2019-09-26_final
2019-10-10 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2019-10-10_final
2019-11-25 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2019-11-25_final.stac-item
2019-12-09 11:22:46	ga_s2bm_ard_3-2-1_51KZU_2019-12-09_final
2020-01-21 11:36:31	ga_s2bm_ard_3-2-1_50HPK_2020-01-21_final
2020-01-28 11:23:03	ga_s2bm_ard_3-2-1_51KYT_2020-01-28_final
2020-03-18 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2020-03-18_final
2020-03-25 11:14:06	ga_s2bm_ard_3-2-1_52JET_2020-03-25_final
2020-03-25 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2020-03-25_final
2020-03-31 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2020-03-31_final
2020-05-04 11:13:22	ga_s2bm_ard_3-2-1_52KBB_2020-05-04_final
2020-05-23 11:47:03	ga_s2bm_ard_3-2-1_50HPH_2020-05-23_final
2020-07-16 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2020-07-16_final
2020-07-22 11:44:47	ga_s2bm_ard_3-2-1_51JTM_2020-07-22_final
2020-07-30 11:04:46	ga_s2bm_ard_3-2-1_52JFR_2020-07-30_final
2020-08-07 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-08-07_final.stac-item
2020-09-05 10:55:45	ga_s2bm_ard_3-2-1_52JGM_2020-09-05_final
2020-09-07 11:32:22	ga_s2bm_ard_3-2-1_51KVB_2020-09-07_final
2020-09-17 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2020-09-17_final
2020-10-14 11:23:20	ga_s2bm_ard_3-2-1_51KXT_2020-10-14_final
2020-10-17 11:32:23	ga_s2bm_ard_3-2-1_51KVB_2020-10-17_final
2020-10-27 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2020-10-27_final
2020-11-30 11:16:40	ga_s2bm_ard_3-2-1_51HXD_2020-11-30_final
2020-12-26 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2020-12-26_final
2021-01-11 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2021-01-11_final
2021-01-29 11:14:38	ga_s2bm_ard_3-2-1_52JBS_2021-01-29_final
2021-02-27 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2021-02-27_final
2021-04-05 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2021-04-05_final
2021-04-28 11:42:52	ga_s2bm_ard_3-2-1_51KVU_2021-04-28_final
2021-05-19 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2021-05-19_final
2021-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-06-04_final
2021-06-17 11:46:42	ga_s2bm_ard_3-2-1_50HMK_2021-06-17_final
2021-06-21 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2021-06-21_final
2021-07-17 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2021-07-17_final
2021-11-01 11:33:57	ga_s2bm_ard_3-2-1_51KWQ_2021-11-01_final
2021-12-24 11:47:19	ga_s2bm_ard_3-2-1_50HMG_2021-12-24_final.stac-item
2022-01-17 11:26:50	ga_s2bm_ard_3-2-1_51HWC_2022-01-17_final.stac-item
2022-03-18 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2022-03-18_final
2022-03-24 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2022-03-24_final
2022-04-14 11:14:20	ga_s2bm_ard_3-2-1_52JBT_2022-04-14_final
2022-05-13 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2022-05-13_final
2022-05-30 11:36:14	ga_s2bm_ard_3-2-1_51JUF_2022-05-30_final
2022-06-15 11:56:29	ga_s2bm_ard_3-2-1_50JLL_2022-06-15_final
2022-07-23 11:14:12	ga_s2bm_ard_3-2-1_52JET_2022-07-23_final
2022-08-12 11:15:40	ga_s2bm_ard_3-2-1_52JBN_2022-08-12_final
2022-09-04 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2022-09-04_final.stac-item
2022-09-20 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2022-09-20_final.stac-item
2022-10-11 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2022-10-11_final.stac-item
2022-10-27 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2022-10-27_final.stac-item
2022-12-23 11:21:54	ga_s2bm_ard_3-2-1_51LZC_2022-12-23_final.stac-item
2023-02-11 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2023-02-11_final.stac-item
2023-02-11 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2023-02-11_final.stac-item
2023-02-11 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2023-02-11_final.stac-item
2023-02-11 11:25:08	ga_s2bm_ard_3-2-1_51JXK_2023-02-11_final.stac-item
2023-02-24 11:31:39	ga_s2bm_ard_3-2-1_51LYD_2023-02-24_final.stac-item
2023-06-04 11:35:12	ga_s2bm_ard_3-2-1_51JWK_2023-06-04_final.stac-item
2023-06-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-17_final.stac-item
2023-06-21 11:24:41	ga_s2bm_ard_3-2-1_51JYM_2023-06-21_final.stac-item
2023-06-24 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-24_final.stac-item
2023-07-14 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-07-14_final.stac-item
2023-07-30 11:55:47	ga_s2bm_ard_3-2-1_50JLP_2023-07-30_final.stac-item
2023-08-20 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2023-08-20_final.stac-item
2023-09-19 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-09-19_final.stac-item
2023-09-20 10:56:04	ga_s2bm_ard_3-2-1_52JFL_2023-09-20_final.stac-item
2023-10-05 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2023-10-05_final.stac-item
2023-11-07 11:53:38	ga_s2bm_ard_3-2-1_50KPB_2023-11-07_final.stac-item
2023-12-03 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-12-03_final.stac-item
2023-12-12 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2023-12-12_final.stac-item
2023-12-18 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2023-12-18_final.stac-item
2024-02-19 11:31:50	ga_s2bm_ard_3-2-1_51LXD_2024-02-19_final.stac-item
2024-04-01 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2024-04-01_final.stac-item
2024-04-22 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2024-04-22_final.stac-item
2024-04-22 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2024-04-22_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