Search ga_s2bm_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2017-08-20 11:49:42	ga_s2bm_ard_3-2-1_50KQV_2017-08-20_final.stac-item
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNQ_2017-08-27_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50JPT_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KLU_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KQA_2017-09-09_final.stac-item
2017-09-09 11:51:47	ga_s2bm_ard_3-2-1_50KRC_2017-09-09_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50JPR_2017-12-08_final.stac-item
2017-12-08 11:49:07	ga_s2bm_ard_3-2-1_50KQA_2017-12-08_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HLH_2017-12-15_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KMA_2017-12-18_final.stac-item
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KNA_2017-12-18_final.stac-item
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_50HMJ_2018-01-04_final.stac-item
2018-02-23 11:44:25	ga_s2bm_ard_3-2-1_50JML_2018-02-23_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50HLH_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50JPS_2018-03-05_final.stac-item
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_50KPU_2018-03-05_final.stac-item
2018-03-08 11:51:37	ga_s2bm_ard_3-2-1_50KLU_2018-03-08_final.stac-item
2018-03-25 11:44:34	ga_s2bm_ard_3-2-1_50JQQ_2018-03-25_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50HMJ_2018-03-28_final.stac-item
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JLR_2018-03-28_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JKQ_2018-03-31_final.stac-item
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLQ_2018-03-31_final.stac-item
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50JQL_2018-04-01_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNP_2018-04-04_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JNR_2018-04-04_final.stac-item
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_50JQR_2018-04-04_final.stac-item
2018-04-04 11:45:38	ga_s2bm_ard_3-2-1_50JMM_2018-04-04_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50HLJ_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KPV_2018-04-07_final.stac-item
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50KQU_2018-04-07_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JNN_2018-04-14_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JQQ_2018-04-14_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50JRT_2018-04-14_final.stac-item
2018-04-14 11:46:05	ga_s2bm_ard_3-2-1_50HMJ_2018-04-14_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50JKN_2018-04-17_final.stac-item
2018-04-17 11:52:54	ga_s2bm_ard_3-2-1_50KLU_2018-04-17_final.stac-item
2018-04-20 12:04:00	ga_s2bm_ard_3-2-1_50JLP_2018-04-20_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQL_2018-04-21_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JQM_2018-04-21_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JRS_2018-04-24_final.stac-item
2018-07-03 11:44:57	ga_s2bm_ard_3-2-1_50JQR_2018-07-03_final.stac-item
2018-11-23 11:53:43	ga_s2bm_ard_3-2-1_50KQA_2018-11-23_final.stac-item
2018-12-19 12:14:07	ga_s2bm_ard_3-2-1_49KGQ_2018-12-19_final.stac-item
2018-12-23 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2018-12-23_final.stac-item
2018-12-23 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2018-12-23_final.stac-item
2018-12-26 12:03:48	ga_s2bm_ard_3-2-1_50KMA_2018-12-26_final.stac-item
2019-02-01 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2019-02-01_final.stac-item
2019-05-19 11:44:32	ga_s2bm_ard_3-2-1_50KPU_2019-05-19_final.stac-item
2019-05-19 11:44:57	ga_s2bm_ard_3-2-1_50JQS_2019-05-19_final.stac-item
2019-05-19 11:45:30	ga_s2bm_ard_3-2-1_50JPQ_2019-05-19_final.stac-item
2019-05-22 11:54:32	ga_s2bm_ard_3-2-1_50JQT_2019-05-22_final.stac-item
2019-05-29 11:44:31	ga_s2bm_ard_3-2-1_50KPU_2019-05-29_final.stac-item
2019-05-29 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-29_final.stac-item
2019-11-25 11:44:27	ga_s2bm_ard_3-2-1_50JRT_2019-11-25_final.stac-item
2019-12-15 11:44:15	ga_s2bm_ard_3-2-1_50JRT_2019-12-15_final.stac-item
2020-02-26 11:57:03	ga_s2bm_ard_3-2-1_50HMH_2020-02-26_final.stac-item
2020-10-20 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2020-10-20_final.stac-item
2020-10-23 11:54:27	ga_s2bm_ard_3-2-1_50JQT_2020-10-23_final.stac-item
2020-10-23 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2020-10-23_final.stac-item
2020-11-09 11:44:36	ga_s2bm_ard_3-2-1_50JQT_2020-11-09_final.stac-item
2020-11-09 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2020-11-09_final.stac-item
2021-02-04 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2021-02-04_final
2021-02-17 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-02-17_final.stac-item
2021-04-07 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2021-04-07_final
2021-05-14 12:05:07	ga_s2bm_ard_3-2-1_49JFM_2021-05-14_final.stac-item
2021-05-18 11:44:37	ga_s2bm_ard_3-2-1_50JPT_2021-05-18_final.stac-item
2021-05-18 11:44:52	ga_s2bm_ard_3-2-1_50JPS_2021-05-18_final.stac-item
2021-05-21 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2021-05-21_final.stac-item
2021-06-23 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2021-06-23_final.stac-item
2021-06-27 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2021-06-27_final.stac-item
2021-06-30 11:53:51	ga_s2bm_ard_3-2-1_50KPA_2021-06-30_final.stac-item
2021-06-30 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2021-06-30_final.stac-item
2021-07-10 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2021-07-10_final.stac-item
2021-08-13 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2021-08-13_final
2021-08-16 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2021-08-16_final.stac-item
2021-08-16 11:47:24	ga_s2bm_ard_3-2-1_50HMG_2021-08-16_final
2021-08-19 11:53:49	ga_s2bm_ard_3-2-1_50KPA_2021-08-19_final.stac-item
2021-08-19 11:54:03	ga_s2bm_ard_3-2-1_50KQV_2021-08-19_final.stac-item
2021-09-24 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2021-09-24_final
2021-10-08 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2021-10-08_final.stac-item
2021-10-15 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-10-15_final.stac-item
2021-10-22 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2021-10-22_final
2021-11-14 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2021-11-14_final.stac-item
2021-11-17 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2021-11-17_final.stac-item
2021-11-24 11:43:58	ga_s2bm_ard_3-2-1_50KQV_2021-11-24_final.stac-item
2021-12-04 11:43:43	ga_s2bm_ard_3-2-1_50KRA_2021-12-04_final.stac-item
2021-12-04 11:44:48	ga_s2bm_ard_3-2-1_50JPS_2021-12-04_final.stac-item
2021-12-07 11:54:46	ga_s2bm_ard_3-2-1_50JNS_2021-12-07_final.stac-item
2021-12-07 11:56:46	ga_s2bm_ard_3-2-1_50HMJ_2021-12-07_final.stac-item
2022-02-12 11:44:32	ga_s2bm_ard_3-2-1_50JPT_2022-02-12_final.stac-item
2023-01-11 11:53:32	ga_s2bm_ard_3-2-1_50KPB_2023-01-11_final.stac-item
2023-01-11 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2023-01-11_final.stac-item
2023-01-11 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2023-01-11_final.stac-item
2023-01-11 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2023-01-11_final.stac-item
2023-02-13 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2023-02-13_final
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-05-14_final
2023-07-03 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-03_final
2023-08-03 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2023-08-03_final
2023-11-27 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-11-27_final
2023-12-20 12:03:45	ga_s2bm_ard_3-2-1_49KHS_2023-12-20_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

All years