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
2017-07-04 12:04:34	ga_s2bm_ard_3-2-1_50JKN_2017-07-04_final
2017-07-25 11:28:36	ga_s2bm_ard_3-2-1_51KWP_2017-07-25_final
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KEU_2017-07-26_final
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KGE_2017-07-26_final
2017-11-09 11:19:31	ga_s2bm_ard_3-2-1_52LCK_2017-11-09_final.stac-item
2017-11-16 11:06:59	ga_s2bm_ard_3-2-1_52LGJ_2017-11-16_final
2017-11-16 11:11:48	ga_s2bm_ard_3-2-1_52JCQ_2017-11-16_final
2017-12-30 10:47:14	ga_s2bm_ard_3-2-1_52JFT_2017-12-30_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52LFL_2018-01-05_final
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KYA_2018-07-27_final
2018-08-03 11:11:32	ga_s2bm_ard_3-2-1_52KDA_2018-08-03_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KVU_2018-10-21_final
2018-11-16 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-16_final
2018-12-14 11:25:59	ga_s2bm_ard_3-2-1_51JUG_2018-12-14_final
2019-01-17 11:01:17	ga_s2bm_ard_3-2-1_52LGK_2019-01-17_final
2019-01-23 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2019-01-23_final
2019-02-02 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2019-02-02_final
2019-03-21 11:13:33	ga_s2bm_ard_3-2-1_52KDA_2019-03-21_final
2019-03-27 11:32:32	ga_s2bm_ard_3-2-1_51KXA_2019-03-27_final
2019-03-27 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2019-03-27_final
2019-03-27 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2019-03-27_final
2019-05-12 11:53:19	ga_s2bm_ard_3-2-1_50KRC_2019-05-12_final
2019-06-02 11:23:24	ga_s2bm_ard_3-2-1_52KCB_2019-06-02_final
2019-06-19 11:11:20	ga_s2bm_ard_3-2-1_52LGK_2019-06-19_final
2019-07-16 11:06:33	ga_s2bm_ard_3-2-1_52HBK_2019-07-16_final
2019-08-17 11:43:06	ga_s2bm_ard_3-2-1_51KUU_2019-08-17_final
2019-09-11 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2019-09-11_final
2019-11-29 11:26:01	ga_s2bm_ard_3-2-1_51JUG_2019-11-29_final
2019-12-16 11:16:35	ga_s2bm_ard_3-2-1_51HXD_2019-12-16_final
2020-01-11 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2020-01-11_final
2020-02-24 11:10:26	ga_s2bm_ard_3-2-1_52LGN_2020-02-24_final
2020-03-17 11:52:26	ga_s2bm_ard_3-2-1_50KQF_2020-03-17_final.stac-item
2020-03-30 12:04:25	ga_s2bm_ard_3-2-1_50KKU_2020-03-30_final
2020-05-14 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2020-05-14_final
2020-05-30 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2020-05-30_final.stac-item
2020-06-12 11:43:35	ga_s2bm_ard_3-2-1_51KTS_2020-06-12_final
2020-07-29 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2020-07-29_final
2020-09-20 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-20_final
2020-09-21 11:11:21	ga_s2bm_ard_3-2-1_52LEK_2020-09-21_final.stac-item
2020-11-26 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2020-11-26_final
2021-01-12 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-01-12_final
2021-01-29 11:12:53	ga_s2bm_ard_3-2-1_52KCD_2021-01-29_final
2021-02-18 11:10:35	ga_s2bm_ard_3-2-1_52LHM_2021-02-18_final
2021-02-21 11:21:22	ga_s2bm_ard_3-2-1_52LBK_2021-02-21_final
2021-02-21 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2021-02-21_final
2021-03-04 10:53:56	ga_s2bm_ard_3-2-1_52KHU_2021-03-04_final
2021-04-19 11:12:59	ga_s2bm_ard_3-2-1_52KDC_2021-04-19_final
2021-05-28 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2021-05-28_final
2021-06-04 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-06-04_final
2021-08-03 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2021-08-03_final
2021-08-20 11:23:05	ga_s2bm_ard_3-2-1_52KBC_2021-08-20_final
2021-09-22 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-09-22_final
2021-10-03 11:04:18	ga_s2bm_ard_3-2-1_52JET_2021-10-03_final
2021-10-18 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-18_final
2021-12-07 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2021-12-07_final
2021-12-17 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2021-12-17_final
2021-12-25 11:15:06	ga_s2bm_ard_3-2-1_51JYK_2021-12-25_final
2021-12-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-12-27_final
2022-03-01 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2022-03-01_final
2022-03-17 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2022-03-17_final
2022-03-21 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2022-03-21_final
2022-04-13 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2022-04-13_final
2022-06-18 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2022-06-18_final
2022-06-27 10:54:20	ga_s2bm_ard_3-2-1_52JFT_2022-06-27_final
2022-06-28 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2022-06-28_final
2022-07-06 11:23:32	ga_s2bm_ard_3-2-1_52KCA_2022-07-06_final
2022-07-07 10:55:51	ga_s2bm_ard_3-2-1_52JFM_2022-07-07_final
2022-08-10 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2022-08-10_final
2022-10-07 11:36:31	ga_s2bm_ard_3-2-1_50HQK_2022-10-07_final.stac-item
2022-10-10 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2022-10-10_final.stac-item
2022-11-13 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2022-11-13_final.stac-item
2022-11-27 11:05:36	ga_s2bm_ard_3-2-1_52JCN_2022-11-27_final.stac-item
2022-12-16 11:32:50	ga_s2bm_ard_3-2-1_51KWV_2022-12-16_final.stac-item
2022-12-22 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-12-22_final.stac-item
2023-01-15 11:33:44	ga_s2bm_ard_3-2-1_51KUR_2023-01-15_final.stac-item
2023-01-15 11:34:10	ga_s2bm_ard_3-2-1_51KVP_2023-01-15_final.stac-item
2023-02-08 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2023-02-08_final.stac-item
2023-02-14 11:31:51	ga_s2bm_ard_3-2-1_51LYC_2023-02-14_final.stac-item
2023-03-03 11:23:36	ga_s2bm_ard_3-2-1_52KBA_2023-03-03_final.stac-item
2023-03-07 11:02:39	ga_s2bm_ard_3-2-1_52KGE_2023-03-07_final.stac-item
2023-03-20 11:13:17	ga_s2bm_ard_3-2-1_52KBC_2023-03-20_final.stac-item
2023-04-08 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2023-04-08_final.stac-item
2023-04-18 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2023-04-18_final.stac-item
2023-05-16 11:05:17	ga_s2bm_ard_3-2-1_52JFP_2023-05-16_final.stac-item
2023-06-14 11:32:02	ga_s2bm_ard_3-2-1_51LXC_2023-06-14_final.stac-item
2023-06-21 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-06-21_final.stac-item
2023-07-28 11:16:46	ga_s2bm_ard_3-2-1_51HXD_2023-07-28_final.stac-item
2023-08-07 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2023-08-07_final.stac-item
2023-08-09 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2023-08-09_final.stac-item
2023-09-09 11:23:25	ga_s2bm_ard_3-2-1_52KBB_2023-09-09_final.stac-item
2024-01-03 11:44:02	ga_s2bm_ard_3-2-1_51KTQ_2024-01-03_final.stac-item
2024-01-23 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2024-01-23_final.stac-item
2024-01-27 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2024-01-27_final.stac-item
2024-01-31 11:00:56	ga_s2bm_ard_3-2-1_52LHL_2024-01-31_final.stac-item
2024-02-06 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-02-06_final.stac-item
2024-02-13 11:12:04	ga_s2bm_ard_3-2-1_52KEG_2024-02-13_final.stac-item
2024-02-19 11:36:27	ga_s2bm_ard_3-2-1_50JPL_2024-02-19_final.stac-item
2024-02-25 11:53:21	ga_s2bm_ard_3-2-1_50KPC_2024-02-25_final.stac-item
2024-02-26 11:23:35	ga_s2bm_ard_3-2-1_51KZR_2024-02-26_final.stac-item
2024-03-10 11:31:34	ga_s2bm_ard_3-2-1_51LYD_2024-03-10_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