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
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGM_2017-09-15_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51KZU_2017-09-30_final
2017-12-10 10:47:13	ga_s2bm_ard_3-2-1_52JFM_2017-12-10_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_52KBD_2018-03-19_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_51KXU_2018-04-28_final
2018-05-25 11:14:45	ga_s2bm_ard_3-2-1_52JCN_2018-05-25_final
2018-07-14 11:11:20	ga_s2bm_ard_3-2-1_52KBB_2018-07-14_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXN_2018-10-25_final
2019-01-26 11:34:00	ga_s2bm_ard_3-2-1_51KVQ_2019-01-26_final
2019-02-14 12:03:44	ga_s2bm_ard_3-2-1_50KKB_2019-02-14_final
2019-04-09 11:43:01	ga_s2bm_ard_3-2-1_51KVU_2019-04-09_final
2019-04-23 11:23:41	ga_s2bm_ard_3-2-1_52KBA_2019-04-23_final
2019-05-06 11:34:22	ga_s2bm_ard_3-2-1_51KVP_2019-05-06_final
2019-05-09 11:41:41	ga_s2bm_ard_3-2-1_51LUE_2019-05-09_final
2019-06-16 11:04:28	ga_s2bm_ard_3-2-1_52JDT_2019-06-16_final
2019-06-21 11:52:45	ga_s2bm_ard_3-2-1_50KPF_2019-06-21_final.stac-item
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_52JBT_2019-07-29_final
2019-08-21 11:25:15	ga_s2bm_ard_3-2-1_51JXK_2019-08-21_final
2019-10-09 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2019-10-09_final
2019-10-16 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2019-10-16_final
2019-10-22 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2019-10-22_final
2019-11-08 11:52:19	ga_s2bm_ard_3-2-1_50KQG_2019-11-08_final.stac-item
2019-11-29 11:22:48	ga_s2bm_ard_3-2-1_51KZU_2019-11-29_final
2019-12-09 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2019-12-09_final
2019-12-16 11:14:59	ga_s2bm_ard_3-2-1_52JCQ_2019-12-16_final
2019-12-25 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2019-12-25_final
2019-12-26 11:13:34	ga_s2bm_ard_3-2-1_52KBA_2019-12-26_final
2019-12-31 12:04:23	ga_s2bm_ard_3-2-1_50KKU_2019-12-31_final
2020-01-21 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2020-01-21_final
2020-01-21 11:37:00	ga_s2bm_ard_3-2-1_50HPH_2020-01-21_final
2020-02-20 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2020-02-20_final
2020-03-04 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2020-03-04_final
2020-03-04 11:42:58	ga_s2bm_ard_3-2-1_51KUU_2020-03-04_final
2020-03-30 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-03-30_final
2020-05-10 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2020-05-10_final
2020-06-12 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2020-06-12_final
2020-06-22 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2020-06-22_final
2020-07-19 11:32:09	ga_s2bm_ard_3-2-1_51KYB_2020-07-19_final
2020-08-05 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2020-08-05_final
2020-09-20 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2020-09-20_final
2021-01-05 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2021-01-05_final
2021-01-11 11:53:20	ga_s2bm_ard_3-2-1_50KPC_2021-01-11_final
2021-02-17 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2021-02-17_final
2021-02-21 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2021-02-21_final
2021-02-23 12:06:08	ga_s2bm_ard_3-2-1_50JKM_2021-02-23_final
2021-02-27 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2021-02-27_final
2021-03-23 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2021-03-23_final
2021-04-14 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2021-04-14_final
2021-04-21 11:53:26	ga_s2bm_ard_3-2-1_50KMC_2021-04-21_final
2021-04-30 10:45:43	ga_s2bm_ard_3-2-1_52JGM_2021-04-30_final
2021-05-02 11:25:30	ga_s2bm_ard_3-2-1_51JYH_2021-05-02_final
2021-05-08 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2021-05-08_final
2021-05-19 11:14:07	ga_s2bm_ard_3-2-1_52JET_2021-05-19_final
2021-05-19 11:14:08	ga_s2bm_ard_3-2-1_51KZP_2021-05-19_final
2021-06-20 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2021-06-20_final
2021-10-09 11:23:18	ga_s2bm_ard_3-2-1_52KBB_2021-10-09_final
2021-10-19 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-10-19_final
2021-11-04 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2021-11-04_final
2021-11-11 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2021-11-11_final
2021-11-21 11:36:58	ga_s2bm_ard_3-2-1_51HTC_2021-11-21_final
2021-12-02 11:05:44	ga_s2bm_ard_3-2-1_52JDM_2021-12-02_final
2021-12-04 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2021-12-04_final
2021-12-20 12:03:35	ga_s2bm_ard_3-2-1_50KLB_2021-12-20_final
2021-12-23 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-12-23_final
2022-01-27 11:25:00	ga_s2bm_ard_3-2-1_51JYK_2022-01-27_final
2022-02-23 11:13:35	ga_s2bm_ard_3-2-1_51KZR_2022-02-23_final
2022-03-31 11:32:03	ga_s2bm_ard_3-2-1_51KXB_2022-03-31_final
2022-08-02 11:15:47	ga_s2bm_ard_3-2-1_51JXH_2022-08-02_final
2022-08-28 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2022-08-28_final
2022-09-07 11:32:48	ga_s2bm_ard_3-2-1_51KVV_2022-09-07_final.stac-item
2022-09-17 11:33:04	ga_s2bm_ard_3-2-1_51KYT_2022-09-17_final.stac-item
2022-09-24 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2022-09-24_final.stac-item
2022-11-06 11:35:14	ga_s2bm_ard_3-2-1_51JUK_2022-11-06_final.stac-item
2022-11-17 11:04:11	ga_s2bm_ard_3-2-1_52JGT_2022-11-17_final.stac-item
2022-12-16 11:37:01	ga_s2bm_ard_3-2-1_50HQH_2022-12-16_final.stac-item
2022-12-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-12-26_final.stac-item
2022-12-26 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-12-26_final.stac-item
2023-02-07 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2023-02-07_final.stac-item
2023-04-19 11:13:24	ga_s2bm_ard_3-2-1_52KCB_2023-04-19_final.stac-item
2023-05-04 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-05-04_final.stac-item
2023-05-05 11:33:04	ga_s2bm_ard_3-2-1_51KVU_2023-05-05_final.stac-item
2023-05-07 12:13:57	ga_s2bm_ard_3-2-1_49KHR_2023-05-07_final.stac-item
2023-06-05 11:05:31	ga_s2bm_ard_3-2-1_52JFN_2023-06-05_final.stac-item
2023-08-03 11:32:01	ga_s2bm_ard_3-2-1_51LXC_2023-08-03_final.stac-item
2023-08-06 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-08-06_final.stac-item
2023-08-16 11:42:27	ga_s2bm_ard_3-2-1_51KWA_2023-08-16_final.stac-item
2023-09-02 11:32:45	ga_s2bm_ard_3-2-1_51KXV_2023-09-02_final.stac-item
2023-09-25 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-09-25_final.stac-item
2023-09-25 11:43:03	ga_s2bm_ard_3-2-1_51KUU_2023-09-25_final.stac-item
2023-10-15 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2023-10-15_final.stac-item
2023-11-18 11:25:37	ga_s2bm_ard_3-2-1_51JXH_2023-11-18_final.stac-item
2023-11-18 11:27:06	ga_s2bm_ard_3-2-1_51HTC_2023-11-18_final.stac-item
2023-12-28 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2023-12-28_final.stac-item
2023-12-28 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2023-12-28_final.stac-item
2024-01-30 11:33:46	ga_s2bm_ard_3-2-1_51KUR_2024-01-30_final.stac-item
2024-03-07 11:21:34	ga_s2bm_ard_3-2-1_51LZD_2024-03-07_final.stac-item
2024-03-13 11:45:26	ga_s2bm_ard_3-2-1_51JTJ_2024-03-13_final.stac-item
2024-03-20 11:31:51	ga_s2bm_ard_3-2-1_51LZC_2024-03-20_final.stac-item
2024-03-30 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2024-03-30_final.stac-item
2024-04-01 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2024-04-01_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