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
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KYA_2017-12-29_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZT_2017-12-29_final
2018-01-11 11:27:21	ga_s2bm_ard_3-2-1_51KXV_2018-01-11_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_50KRD_2018-01-14_final
2018-01-15 11:07:04	ga_s2bm_ard_3-2-1_52LEH_2018-01-15_final
2018-01-22 10:57:08	ga_s2bm_ard_3-2-1_52KGG_2018-01-22_final
2018-01-31 11:27:22	ga_s2bm_ard_3-2-1_51JVH_2018-01-31_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50KRC_2018-02-06_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_51JVK_2018-02-20_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUT_2018-06-23_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HLJ_2018-06-26_final
2018-07-08 10:51:28	ga_s2bm_ard_3-2-1_52JEL_2018-07-08_final
2018-08-02 11:38:21	ga_s2bm_ard_3-2-1_51LUE_2018-08-02_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50HQJ_2018-10-21_final
2018-11-11 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2018-11-11_final
2018-11-18 11:06:21	ga_s2bm_ard_3-2-1_52HBK_2018-11-18_final
2019-01-06 11:35:49	ga_s2bm_ard_3-2-1_50JQN_2019-01-06_final
2019-01-29 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-01-29_final
2019-03-06 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2019-03-06_final
2019-03-08 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2019-03-08_final
2019-04-20 11:13:18	ga_s2bm_ard_3-2-1_52KDC_2019-04-20_final
2019-04-29 11:45:43	ga_s2bm_ard_3-2-1_50JPP_2019-04-29_final
2019-04-29 11:46:27	ga_s2bm_ard_3-2-1_50JPL_2019-04-29_final
2019-07-04 12:04:22	ga_s2bm_ard_3-2-1_49KHQ_2019-07-04_final
2019-07-05 11:34:26	ga_s2bm_ard_3-2-1_51KUP_2019-07-05_final
2019-07-12 11:24:41	ga_s2bm_ard_3-2-1_52JBS_2019-07-12_final
2019-09-12 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2019-09-12_final
2019-10-13 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2019-10-13_final
2019-10-20 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2019-10-20_final
2019-12-22 11:32:24	ga_s2bm_ard_3-2-1_51KWA_2019-12-22_final
2020-01-09 10:55:51	ga_s2bm_ard_3-2-1_52JGL_2020-01-09_final
2020-01-18 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2020-01-18_final
2020-01-18 11:24:23	ga_s2bm_ard_3-2-1_51JWN_2020-01-18_final
2020-01-18 11:26:30	ga_s2bm_ard_3-2-1_51HXD_2020-01-18_final
2020-04-08 10:53:39	ga_s2bm_ard_3-2-1_52KHV_2020-04-08_final
2020-04-11 11:01:46	ga_s2bm_ard_3-2-1_52LFH_2020-04-11_final
2020-05-17 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2020-05-17_final
2020-05-21 11:02:33	ga_s2bm_ard_3-2-1_52KFE_2020-05-21_final
2020-06-18 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2020-06-18_final
2020-06-18 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2020-06-18_final
2020-07-20 11:03:00	ga_s2bm_ard_3-2-1_52KGC_2020-07-20_final
2020-07-20 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2020-07-20_final
2020-09-06 12:06:13	ga_s2bm_ard_3-2-1_50JKM_2020-09-06_final
2020-11-23 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2020-11-23_final
2020-11-23 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2020-11-23_final
2020-12-07 11:02:46	ga_s2bm_ard_3-2-1_52KFD_2020-12-07_final
2020-12-10 11:13:23	ga_s2bm_ard_3-2-1_52KBB_2020-12-10_final
2020-12-16 11:36:06	ga_s2bm_ard_3-2-1_51JVF_2020-12-16_final
2021-02-04 11:35:40	ga_s2bm_ard_3-2-1_51JVH_2021-02-04_final
2021-02-11 11:25:26	ga_s2bm_ard_3-2-1_51JWJ_2021-02-11_final
2021-03-19 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2021-03-19_final
2021-03-27 11:05:00	ga_s2bm_ard_3-2-1_52JEQ_2021-03-27_final
2021-06-01 11:23:21	ga_s2bm_ard_3-2-1_52KBB_2021-06-01_final
2021-06-04 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2021-06-04_final
2021-06-14 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2021-06-14_final
2021-06-22 10:54:16	ga_s2bm_ard_3-2-1_52JGT_2021-06-22_final
2021-10-06 11:16:06	ga_s2bm_ard_3-2-1_52JBL_2021-10-06_final
2021-10-26 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2021-10-26_final
2022-01-04 11:14:49	ga_s2bm_ard_3-2-1_52JBR_2022-01-04_final
2022-01-14 11:11:26	ga_s2bm_ard_3-2-1_52LFJ_2022-01-14_final
2022-01-24 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2022-01-24_final
2022-01-27 11:23:10	ga_s2bm_ard_3-2-1_52KCB_2022-01-27_final
2022-04-13 11:46:16	ga_s2bm_ard_3-2-1_50JPL_2022-04-13_final
2022-05-30 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2022-05-30_final
2022-05-31 11:03:41	ga_s2bm_ard_3-2-1_52KGV_2022-05-31_final
2022-06-06 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2022-06-06_final
2022-07-18 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2022-07-18_final
2022-07-29 11:35:42	ga_s2bm_ard_3-2-1_50JQP_2022-07-29_final
2022-07-30 11:05:24	ga_s2bm_ard_3-2-1_52JDP_2022-07-30_final
2022-07-31 12:14:17	ga_s2bm_ard_3-2-1_49KGQ_2022-07-31_final
2022-08-28 11:37:03	ga_s2bm_ard_3-2-1_50HQH_2022-08-28_final
2022-09-03 11:53:33	ga_s2bm_ard_3-2-1_50KQB_2022-09-03_final.stac-item
2022-11-10 11:13:18	ga_s2bm_ard_3-2-1_52KDB_2022-11-10_final.stac-item
2022-11-19 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-11-19_final.stac-item
2022-11-20 11:12:13	ga_s2bm_ard_3-2-1_52KFF_2022-11-20_final.stac-item
2022-11-26 11:32:31	ga_s2bm_ard_3-2-1_51KVA_2022-11-26_final.stac-item
2022-12-14 10:53:12	ga_s2bm_ard_3-2-1_52KHB_2022-12-14_final.stac-item
2022-12-14 10:54:13	ga_s2bm_ard_3-2-1_52JGT_2022-12-14_final.stac-item
2022-12-16 11:36:30	ga_s2bm_ard_3-2-1_51HTE_2022-12-16_final.stac-item
2022-12-22 13:31:32	ga_s2bm_ard_3-2-1_47LKH_2022-12-22_interim.stac-item
2023-01-15 11:31:02	ga_s2bm_ard_3-2-1_51LZF_2023-01-15_nrt.stac-item
2023-01-29 12:50:58	ga_s2bm_ard_3-2-1_48LWP_2023-01-29_final.stac-item
2023-02-01 11:26:23	ga_s2bm_ard_3-2-1_51HWE_2023-02-01_final.stac-item
2023-02-11 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2023-02-11_nrt.stac-item
2023-05-02 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2023-05-02_final.stac-item
2023-05-06 11:04:03	ga_s2bm_ard_3-2-1_52KFU_2023-05-06_final.stac-item
2023-06-20 11:53:40	ga_s2bm_ard_3-2-1_50KNB_2023-06-20_final.stac-item
2023-07-01 11:21:45	ga_s2bm_ard_3-2-1_51LZD_2023-07-01_final.stac-item
2023-07-08 11:13:20	ga_s2bm_ard_3-2-1_52KEB_2023-07-08_final.stac-item
2023-08-02 12:05:20	ga_s2bm_ard_3-2-1_49JGL_2023-08-02_final.stac-item
2023-08-04 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-08-04_final.stac-item
2023-11-14 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2023-11-14_final.stac-item
2023-12-08 11:26:26	ga_s2bm_ard_3-2-1_51HVE_2023-12-08_final.stac-item
2023-12-31 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2023-12-31_final.stac-item
2024-01-14 11:16:33	ga_s2bm_ard_3-2-1_52HBJ_2024-01-14_nrt.stac-item
2024-01-21 11:02:11	ga_s2bm_ard_3-2-1_52KHF_2024-01-21_final.stac-item
2024-01-21 11:03:41	ga_s2bm_ard_3-2-1_52KGV_2024-01-21_final.stac-item
2024-03-03 11:46:27	ga_s2bm_ard_3-2-1_50HQK_2024-03-03_final.stac-item
2024-03-07 11:26:14	ga_s2bm_ard_3-2-1_51JUF_2024-03-07_final.stac-item
2024-03-24 11:12:32	ga_s2bm_ard_3-2-1_52KEE_2024-03-24_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