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
2017-09-17 11:11:51	ga_s2bm_ard_3-2-1_52KDC_2017-09-17_final
2017-10-30 11:20:19	ga_s2bm_ard_3-2-1_52KBE_2017-10-30_final
2017-11-01 12:02:36	ga_s2bm_ard_3-2-1_50JKT_2017-11-01_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_53JNN_2017-12-07_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52KDC_2017-12-26_final
2018-01-15 11:11:53	ga_s2bm_ard_3-2-1_51HXC_2018-01-15_final.stac-item
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JLL_2018-01-17_final
2018-03-04 10:26:58	ga_s2bm_ard_3-2-1_53JPL_2018-03-04_final
2018-03-16 11:11:54	ga_s2bm_ard_3-2-1_52JCS_2018-03-16_final
2018-04-09 10:50:37	ga_s2bm_ard_3-2-1_52KHA_2018-04-09_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_52KHA_2018-05-09_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KTQ_2018-06-03_final
2018-06-24 11:09:06	ga_s2bm_ard_3-2-1_52KEG_2018-06-24_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50KPV_2018-09-04_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JMJ_2018-09-23_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWT_2018-10-18_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52JBL_2018-10-22_final
2018-12-13 11:54:01	ga_s2bm_ard_3-2-1_50KNV_2018-12-13_final
2018-12-17 11:34:23	ga_s2bm_ard_3-2-1_51JVN_2018-12-17_final
2018-12-24 11:21:34	ga_s2bm_ard_3-2-1_52LBJ_2018-12-24_final
2019-01-13 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2019-01-13_final
2019-02-06 11:04:18	ga_s2bm_ard_3-2-1_52JET_2019-02-06_final
2019-02-08 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2019-02-08_final
2019-03-08 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2019-03-08_final
2019-04-03 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2019-04-03_final
2019-04-23 11:23:17	ga_s2bm_ard_3-2-1_51KYT_2019-04-23_final
2019-06-12 11:22:30	ga_s2bm_ard_3-2-1_52KBF_2019-06-12_final
2019-06-22 11:22:45	ga_s2bm_ard_3-2-1_52KBE_2019-06-22_final
2019-06-25 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-06-25_final
2019-07-01 11:53:15	ga_s2bm_ard_3-2-1_50KPD_2019-07-01_final.stac-item
2019-08-18 11:12:26	ga_s2bm_ard_3-2-1_52KDF_2019-08-18_final
2019-08-30 11:54:26	ga_s2bm_ard_3-2-1_50KNU_2019-08-30_final
2019-08-31 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2019-08-31_final
2019-09-06 11:43:49	ga_s2bm_ard_3-2-1_51KTR_2019-09-06_final
2019-09-19 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2019-09-19_final
2019-10-12 12:04:14	ga_s2bm_ard_3-2-1_50KKV_2019-10-12_final
2019-10-13 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2019-10-13_final
2019-11-01 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2019-11-01_final
2019-11-01 12:04:28	ga_s2bm_ard_3-2-1_50KKU_2019-11-01_final
2019-11-23 11:04:00	ga_s2bm_ard_3-2-1_52KEU_2019-11-23_final
2019-12-09 11:24:35	ga_s2bm_ard_3-2-1_51JXM_2019-12-09_final
2019-12-31 12:04:05	ga_s2bm_ard_3-2-1_50KLV_2019-12-31_final
2020-01-04 11:44:29	ga_s2bm_ard_3-2-1_50JQT_2020-01-04_final
2020-01-29 10:53:21	ga_s2bm_ard_3-2-1_52KHA_2020-01-29_final
2020-02-28 10:53:54	ga_s2bm_ard_3-2-1_52KHU_2020-02-28_final
2020-03-15 11:13:49	ga_s2bm_ard_3-2-1_52KCV_2020-03-15_final
2020-03-17 11:55:22	ga_s2bm_ard_3-2-1_50JMQ_2020-03-17_final
2020-03-19 10:55:44	ga_s2bm_ard_3-2-1_52JFM_2020-03-19_final
2020-03-22 11:03:14	ga_s2bm_ard_3-2-1_52KFB_2020-03-22_final
2020-04-16 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2020-04-16_final.stac-item
2020-05-03 11:41:55	ga_s2bm_ard_3-2-1_51LVC_2020-05-03_final
2020-05-03 11:43:44	ga_s2bm_ard_3-2-1_51KTR_2020-05-03_final
2020-07-06 11:21:55	ga_s2bm_ard_3-2-1_52LBH_2020-07-06_final
2020-07-07 10:53:30	ga_s2bm_ard_3-2-1_52KHA_2020-07-07_final
2020-07-17 10:53:44	ga_s2bm_ard_3-2-1_52KHV_2020-07-17_final
2020-08-02 11:12:06	ga_s2bm_ard_3-2-1_52KEG_2020-08-02_final
2020-08-14 11:53:57	ga_s2bm_ard_3-2-1_50KNA_2020-08-14_final
2020-08-28 11:32:47	ga_s2bm_ard_3-2-1_51KWV_2020-08-28_final
2020-09-05 10:54:44	ga_s2bm_ard_3-2-1_53JKL_2020-09-05_final
2020-10-25 10:55:16	ga_s2bm_ard_3-2-1_52JGP_2020-10-25_final
2020-11-10 11:16:07	ga_s2bm_ard_3-2-1_52JBL_2020-11-10_final
2021-01-26 11:06:06	ga_s2bm_ard_3-2-1_52JCL_2021-01-26_final
2021-05-02 11:22:19	ga_s2bm_ard_3-2-1_52KBF_2021-05-02_final
2021-05-12 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-05-12_final
2021-06-28 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2021-06-28_final
2021-07-25 11:05:21	ga_s2bm_ard_3-2-1_52JDP_2021-07-25_final
2021-09-02 11:34:43	ga_s2bm_ard_3-2-1_51JUM_2021-09-02_final
2021-09-25 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2021-09-25_final
2021-10-09 11:22:38	ga_s2bm_ard_3-2-1_52KBE_2021-10-09_final
2021-10-23 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2021-10-23_final
2021-11-01 11:35:31	ga_s2bm_ard_3-2-1_51JUJ_2021-11-01_final
2021-12-12 11:02:09	ga_s2bm_ard_3-2-1_52KGF_2021-12-12_final
2022-01-08 10:53:24	ga_s2bm_ard_3-2-1_52KHA_2022-01-08_final
2022-01-16 11:54:00	ga_s2bm_ard_3-2-1_50KPV_2022-01-16_final
2022-01-26 11:55:04	ga_s2bm_ard_3-2-1_50JMR_2022-01-26_final
2022-08-21 11:43:34	ga_s2bm_ard_3-2-1_50KRB_2022-08-21_final
2022-10-11 11:13:50	ga_s2bm_ard_3-2-1_52KCV_2022-10-11_final.stac-item
2022-10-31 11:14:33	ga_s2bm_ard_3-2-1_52JCS_2022-10-31_final.stac-item
2022-12-12 11:56:55	ga_s2bm_ard_3-2-1_50HKJ_2022-12-12_nrt.stac-item
2022-12-23 11:22:36	ga_s2bm_ard_3-2-1_52KBE_2022-12-23_final.stac-item
2023-01-29 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2023-01-29_final.stac-item
2023-02-23 12:03:12	ga_s2bm_ard_3-2-1_50KLD_2023-02-23_nrt.stac-item
2023-03-03 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2023-03-03_final.stac-item
2023-03-21 10:45:29	ga_s2bm_ard_3-2-1_53JLH_2023-03-21_final.stac-item
2023-03-26 11:30:44	ga_s2bm_ard_3-2-1_51LYH_2023-03-26_nrt.stac-item
2023-05-19 11:14:25	ga_s2bm_ard_3-2-1_52JCT_2023-05-19_final.stac-item
2023-07-05 11:02:21	ga_s2bm_ard_3-2-1_52KGF_2023-07-05_final.stac-item
2023-08-26 11:43:37	ga_s2bm_ard_3-2-1_51KTS_2023-08-26_final.stac-item
2023-08-27 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2023-08-27_final.stac-item
2023-09-03 11:03:36	ga_s2bm_ard_3-2-1_52KFA_2023-09-03_final.stac-item
2023-09-12 11:33:02	ga_s2bm_ard_3-2-1_51KWU_2023-09-12_final.stac-item
2023-10-08 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2023-10-08_final.stac-item
2023-10-20 10:53:30	ga_s2bm_ard_3-2-1_52KHA_2023-10-20_final.stac-item
2023-10-28 11:52:07	ga_s2bm_ard_3-2-1_50LQH_2023-10-28_nrt.stac-item
2023-11-18 11:24:39	ga_s2bm_ard_3-2-1_51JXM_2023-11-18_final.stac-item
2023-11-18 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2023-11-18_final.stac-item
2024-01-04 11:15:37	ga_s2bm_ard_3-2-1_52JBN_2024-01-04_final.stac-item
2024-03-21 11:02:12	ga_s2bm_ard_3-2-1_52KHF_2024-03-21_final.stac-item
2024-03-25 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2024-03-25_final.stac-item
2024-04-14 10:45:12	ga_s2bm_ard_3-2-1_53JLJ_2024-04-14_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