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
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KUT_2017-08-07_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JHM_2017-08-13_final
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49KGQ_2017-08-13_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JML_2017-11-28_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52KFG_2018-02-24_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KXR_2018-04-18_final
2018-04-28 11:18:17	ga_s2bm_ard_3-2-1_52KCC_2018-04-28_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52JCN_2018-05-02_final
2018-05-18 11:22:43	ga_s2bm_ard_3-2-1_51KXQ_2018-05-18_final
2018-05-19 10:47:23	ga_s2bm_ard_3-2-1_52JGS_2018-05-19_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JDM_2018-06-01_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KUS_2018-07-30_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51HUD_2018-08-09_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JKM_2018-09-27_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50KQA_2018-10-04_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_49JGK_2018-10-07_final
2018-10-25 11:18:26	ga_s2bm_ard_3-2-1_51KXT_2018-10-25_final
2018-11-18 11:03:10	ga_s2bm_ard_3-2-1_52KGB_2018-11-18_final
2019-01-06 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2019-01-06_final
2019-04-13 11:24:49	ga_s2bm_ard_3-2-1_51JWM_2019-04-13_final
2019-06-11 11:54:59	ga_s2bm_ard_3-2-1_50JNS_2019-06-11_final
2019-07-16 11:06:12	ga_s2bm_ard_3-2-1_52JDL_2019-07-16_final
2019-07-22 11:24:20	ga_s2bm_ard_3-2-1_51KXP_2019-07-22_final
2019-07-25 11:32:41	ga_s2bm_ard_3-2-1_51KVA_2019-07-25_final
2019-07-25 11:36:42	ga_s2bm_ard_3-2-1_50HQK_2019-07-25_final
2019-08-04 11:33:42	ga_s2bm_ard_3-2-1_51KUS_2019-08-04_final
2019-08-14 11:35:08	ga_s2bm_ard_3-2-1_51JUL_2019-08-14_final
2019-08-14 11:36:17	ga_s2bm_ard_3-2-1_51JVF_2019-08-14_final
2019-10-12 12:04:58	ga_s2bm_ard_3-2-1_50JKS_2019-10-12_final
2019-12-23 11:03:37	ga_s2bm_ard_3-2-1_52KGV_2019-12-23_final
2020-01-28 11:23:50	ga_s2bm_ard_3-2-1_51KXQ_2020-01-28_final
2020-02-04 11:12:31	ga_s2bm_ard_3-2-1_52KCE_2020-02-04_final
2020-03-01 11:31:18	ga_s2bm_ard_3-2-1_51LZE_2020-03-01_final
2020-03-18 11:25:43	ga_s2bm_ard_3-2-1_51JYG_2020-03-18_final
2020-03-25 11:16:00	ga_s2bm_ard_3-2-1_52JCL_2020-03-25_final
2020-04-07 11:24:29	ga_s2bm_ard_3-2-1_52JBS_2020-04-07_final
2020-04-20 11:33:43	ga_s2bm_ard_3-2-1_51KUR_2020-04-20_final
2020-05-11 11:03:58	ga_s2bm_ard_3-2-1_52KFU_2020-05-11_final
2020-05-30 11:32:52	ga_s2bm_ard_3-2-1_51KYU_2020-05-30_final
2020-06-28 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2020-06-28_final
2020-07-03 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2020-07-03_final
2020-08-15 11:26:38	ga_s2bm_ard_3-2-1_51HWE_2020-08-15_final
2020-10-14 11:23:28	ga_s2bm_ard_3-2-1_51KYS_2020-10-14_final
2020-12-03 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2020-12-03_final
2020-12-07 11:03:00	ga_s2bm_ard_3-2-1_52KFC_2020-12-07_final
2020-12-26 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2020-12-26_final
2021-02-14 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2021-02-14_final
2021-03-13 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2021-03-13_final
2021-03-20 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2021-03-20_final
2021-05-04 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2021-05-04_final
2021-06-06 12:13:55	ga_s2bm_ard_3-2-1_50KKA_2021-06-06_final
2021-06-23 12:06:15	ga_s2bm_ard_3-2-1_50JKM_2021-06-23_final
2021-07-03 12:03:45	ga_s2bm_ard_3-2-1_50KKB_2021-07-03_final
2021-08-12 12:06:10	ga_s2bm_ard_3-2-1_50JKM_2021-08-12_final
2021-08-23 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2021-08-23_final
2021-08-26 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2021-08-26_final
2021-10-01 12:05:37	ga_s2bm_ard_3-2-1_50JLP_2021-10-01_final
2021-10-21 12:05:10	ga_s2bm_ard_3-2-1_50JKR_2021-10-21_final
2021-11-01 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-11-01_final
2021-12-29 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2021-12-29_final
2022-01-31 11:03:36	ga_s2bm_ard_3-2-1_52KGV_2022-01-31_final
2022-02-08 12:03:27	ga_s2bm_ard_3-2-1_50KNB_2022-02-08_final
2022-02-12 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2022-02-12_final
2022-03-05 11:14:53	ga_s2bm_ard_3-2-1_51JYL_2022-03-05_final
2022-03-28 11:25:07	ga_s2bm_ard_3-2-1_51JXK_2022-03-28_final
2022-04-04 11:15:21	ga_s2bm_ard_3-2-1_51JYJ_2022-04-04_final
2022-04-18 10:54:43	ga_s2bm_ard_3-2-1_52JFR_2022-04-18_final
2022-04-24 11:15:56	ga_s2bm_ard_3-2-1_52JCL_2022-04-24_final
2022-04-30 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-04-30_final
2022-05-01 11:04:41	ga_s2bm_ard_3-2-1_52JER_2022-05-01_final
2022-05-09 12:04:38	ga_s2bm_ard_3-2-1_49JGN_2022-05-09_final
2022-05-13 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2022-05-13_final
2022-06-10 11:03:56	ga_s2bm_ard_3-2-1_52KDV_2022-06-10_final
2022-07-19 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2022-07-19_final
2022-07-19 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2022-07-19_final
2022-08-08 11:34:33	ga_s2bm_ard_3-2-1_51JVN_2022-08-08_final
2022-08-21 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-08-21_final
2022-09-25 10:54:17	ga_s2bm_ard_3-2-1_52JHT_2022-09-25_final.stac-item
2022-10-28 11:04:28	ga_s2bm_ard_3-2-1_52JFS_2022-10-28_final.stac-item
2022-11-17 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2022-11-17_final.stac-item
2022-12-09 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-12-09_final.stac-item
2022-12-20 11:12:16	ga_s2bm_ard_3-2-1_52KEF_2022-12-20_final.stac-item
2022-12-26 11:31:05	ga_s2bm_ard_3-2-1_51LZF_2022-12-26_nrt.stac-item
2023-01-30 10:45:58	ga_s2bm_ard_3-2-1_52JGL_2023-01-30_final.stac-item
2023-04-02 11:25:24	ga_s2bm_ard_3-2-1_51JYJ_2023-04-02_final.stac-item
2023-05-31 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2023-05-31_final.stac-item
2023-06-04 11:33:38	ga_s2bm_ard_3-2-1_51KUS_2023-06-04_final.stac-item
2023-06-28 11:12:08	ga_s2bm_ard_3-2-1_52KEG_2023-06-28_final.stac-item
2023-07-01 11:22:43	ga_s2bm_ard_3-2-1_51KZV_2023-07-01_final.stac-item
2023-07-04 11:35:56	ga_s2bm_ard_3-2-1_50JQN_2023-07-04_final.stac-item
2023-07-27 11:47:08	ga_s2bm_ard_3-2-1_50HPH_2023-07-27_final.stac-item
2023-08-30 11:23:15	ga_s2bm_ard_3-2-1_51KYT_2023-08-30_final.stac-item
2023-09-12 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2023-09-12_final.stac-item
2023-12-31 11:35:20	ga_s2bm_ard_3-2-1_51JWJ_2023-12-31_final.stac-item
2024-01-24 11:14:16	ga_s2bm_ard_3-2-1_52JDT_2024-01-24_final.stac-item
2024-03-04 11:16:31	ga_s2bm_ard_3-2-1_52HBJ_2024-03-04_nrt.stac-item
2024-03-10 11:34:59	ga_s2bm_ard_3-2-1_51JTL_2024-03-10_final.stac-item
2024-03-11 11:03:19	ga_s2bm_ard_3-2-1_52KHA_2024-03-11_final.stac-item
2024-03-21 11:02:44	ga_s2bm_ard_3-2-1_52KGD_2024-03-21_final.stac-item
2024-04-02 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2024-04-02_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