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
2017-10-06 11:40:29	ga_s2bm_ard_3-2-1_51KVB_2017-10-06_final
2017-11-22 11:30:28	ga_s2bm_ard_3-2-1_51KWB_2017-11-22_final
2018-01-03 12:13:12	ga_s2bm_ard_3-2-1_49KHR_2018-01-03_final
2018-01-29 10:53:08	ga_s2bm_ard_3-2-1_53JKG_2018-01-29_final
2018-02-24 11:07:04	ga_s2bm_ard_3-2-1_52KDG_2018-02-24_final
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_52JGM_2018-04-09_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_51KZS_2018-04-18_final
2018-04-18 11:16:57	ga_s2bm_ard_3-2-1_52LCH_2018-04-18_final
2018-05-11 11:32:38	ga_s2bm_ard_3-2-1_51KYU_2018-05-11_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53JQL_2018-05-13_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50KNA_2018-07-26_final
2018-07-30 11:31:34	ga_s2bm_ard_3-2-1_51KYV_2018-07-30_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HQK_2018-08-22_final
2018-09-17 12:03:21	ga_s2bm_ard_3-2-1_49JHN_2018-09-17_final
2018-10-11 11:39:55	ga_s2bm_ard_3-2-1_51LUE_2018-10-11_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52KDV_2018-10-22_final
2018-10-28 11:26:18	ga_s2bm_ard_3-2-1_52LBK_2018-10-28_final
2018-11-17 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2018-11-17_final
2019-01-02 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2019-01-02_final.stac-item
2019-01-05 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2019-01-05_final
2019-01-30 11:11:59	ga_s2bm_ard_3-2-1_52KFG_2019-01-30_final
2019-03-29 10:35:54	ga_s2bm_ard_3-2-1_53JNF_2019-03-29_final
2019-04-15 12:04:33	ga_s2bm_ard_3-2-1_50KKU_2019-04-15_final
2019-04-26 11:36:59	ga_s2bm_ard_3-2-1_50HPJ_2019-04-26_final
2019-05-20 11:14:03	ga_s2bm_ard_3-2-1_51KZQ_2019-05-20_final
2019-06-16 11:06:31	ga_s2bm_ard_3-2-1_52HBK_2019-06-16_final
2019-07-08 11:41:27	ga_s2bm_ard_3-2-1_51LUF_2019-07-08_final
2019-07-13 10:55:40	ga_s2bm_ard_3-2-1_52JFN_2019-07-13_final
2019-07-22 11:23:15	ga_s2bm_ard_3-2-1_52KBC_2019-07-22_final
2019-09-16 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-09-16_final
2019-09-19 11:55:41	ga_s2bm_ard_3-2-1_50JLP_2019-09-19_final
2019-10-13 11:33:32	ga_s2bm_ard_3-2-1_51KVS_2019-10-13_final
2019-11-28 11:55:42	ga_s2bm_ard_3-2-1_50JKP_2019-11-28_final
2019-12-22 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2019-12-22_final
2020-02-13 11:42:41	ga_s2bm_ard_3-2-1_51KUV_2020-02-13_final
2020-02-23 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2020-02-23_final
2020-03-07 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2020-03-07_final
2020-05-02 10:36:47	ga_s2bm_ard_3-2-1_53HNB_2020-05-02_final
2020-05-20 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2020-05-20_final
2020-05-24 11:15:25	ga_s2bm_ard_3-2-1_51JYJ_2020-05-24_final
2020-08-24 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2020-08-24_final
2020-10-02 10:46:01	ga_s2bm_ard_3-2-1_53JKF_2020-10-02_final
2020-10-09 10:33:16	ga_s2bm_ard_3-2-1_53KPS_2020-10-09_final
2020-10-10 11:42:17	ga_s2bm_ard_3-2-1_51KVB_2020-10-10_final
2021-01-07 10:36:16	ga_s2bm_ard_3-2-1_53HLE_2021-01-07_final
2021-01-24 10:25:49	ga_s2bm_ard_3-2-1_53JQF_2021-01-24_final
2021-03-13 11:21:35	ga_s2bm_ard_3-2-1_52LCJ_2021-03-13_final
2021-03-27 11:02:28	ga_s2bm_ard_3-2-1_52KGE_2021-03-27_final
2021-07-23 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2021-07-23_final
2021-07-24 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2021-07-24_final
2021-07-31 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2021-07-31_final
2021-08-05 10:34:15	ga_s2bm_ard_3-2-1_53JNN_2021-08-05_final
2021-08-10 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-08-10_final
2021-08-24 11:00:42	ga_s2bm_ard_3-2-1_53LKG_2021-08-24_final
2021-08-31 10:55:10	ga_s2bm_ard_3-2-1_52JGP_2021-08-31_final
2021-09-04 10:36:36	ga_s2bm_ard_3-2-1_53HMC_2021-09-04_final.stac-item
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_49JHM_2021-09-11_final
2021-11-02 11:04:25	ga_s2bm_ard_3-2-1_52JGS_2021-11-02_final
2021-11-06 10:45:44	ga_s2bm_ard_3-2-1_53JKG_2021-11-06_final
2021-12-28 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2021-12-28_final
2022-01-28 10:53:13	ga_s2bm_ard_3-2-1_52KHB_2022-01-28_final
2022-02-09 11:32:23	ga_s2bm_ard_3-2-1_51KWA_2022-02-09_final
2022-02-21 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2022-02-21_final
2022-03-10 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2022-03-10_final
2022-03-12 11:00:28	ga_s2bm_ard_3-2-1_52LHN_2022-03-12_final
2022-03-26 10:42:58	ga_s2bm_ard_3-2-1_53KQS_2022-03-26_final
2022-03-29 10:55:28	ga_s2bm_ard_3-2-1_52JFN_2022-03-29_final
2022-05-14 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2022-05-14_final
2022-05-25 10:45:58	ga_s2bm_ard_3-2-1_53JKF_2022-05-25_final
2022-05-28 10:52:59	ga_s2bm_ard_3-2-1_53KKT_2022-05-28_final
2022-08-10 12:15:00	ga_s2bm_ard_3-2-1_49JGM_2022-08-10_final
2022-08-14 11:56:33	ga_s2bm_ard_3-2-1_50HNK_2022-08-14_final
2022-08-30 12:14:28	ga_s2bm_ard_3-2-1_49KGP_2022-08-30_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2022-08-31_final
2022-09-07 11:35:28	ga_s2bm_ard_3-2-1_51JVJ_2022-09-07_final.stac-item
2022-10-11 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2022-10-11_final.stac-item
2022-11-26 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2022-11-26_final.stac-item
2023-01-12 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2023-01-12_final.stac-item
2023-01-19 11:11:10	ga_s2bm_ard_3-2-1_52LGK_2023-01-19_final.stac-item
2023-01-28 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2023-01-28_final.stac-item
2023-02-12 10:53:56	ga_s2bm_ard_3-2-1_52KHU_2023-02-12_final.stac-item
2023-02-18 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2023-02-18_final.stac-item
2023-03-17 11:03:57	ga_s2bm_ard_3-2-1_52KDV_2023-03-17_final.stac-item
2023-03-19 11:41:01	ga_s2bm_ard_3-2-1_51LWG_2023-03-19_final.stac-item
2023-04-19 11:10:31	ga_s2bm_ard_3-2-1_52LGN_2023-04-19_final.stac-item
2023-05-11 11:56:10	ga_s2bm_ard_3-2-1_50JMM_2023-05-11_final.stac-item
2023-06-26 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-06-26_final.stac-item
2023-06-27 11:45:34	ga_s2bm_ard_3-2-1_51JTJ_2023-06-27_final.stac-item
2023-07-13 10:25:10	ga_s2bm_ard_3-2-1_53JQJ_2023-07-13_final.stac-item
2023-07-18 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-07-18_final.stac-item
2023-08-23 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-08-23_final.stac-item
2023-08-26 11:41:01	ga_s2bm_ard_3-2-1_51LWG_2023-08-26_final.stac-item
2023-10-16 11:16:43	ga_s2bm_ard_3-2-1_51HXD_2023-10-16_final.stac-item
2023-10-27 10:46:10	ga_s2bm_ard_3-2-1_53HLE_2023-10-27_final.stac-item
2023-11-03 12:14:33	ga_s2bm_ard_3-2-1_49KFP_2023-11-03_nrt.stac-item
2023-11-13 10:33:35	ga_s2bm_ard_3-2-1_53KQQ_2023-11-13_final.stac-item
2023-12-16 10:45:43	ga_s2bm_ard_3-2-1_53JKG_2023-12-16_final.stac-item
2023-12-24 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2023-12-24_final.stac-item
2024-01-03 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2024-01-03_final.stac-item
2024-02-08 10:26:53	ga_s2bm_ard_3-2-1_53HNB_2024-02-08_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