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
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUP_2017-08-27_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_51KUQ_2017-08-27_final
2017-11-24 12:13:09	ga_s2bm_ard_3-2-1_49JHN_2017-11-24_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51JVN_2017-12-02_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50KRA_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50KRV_2017-12-15_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KMA_2017-12-18_final
2017-12-19 11:25:05	ga_s2bm_ard_3-2-1_51JXJ_2017-12-19_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KUQ_2017-12-22_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUS_2017-12-25_final
2018-02-13 11:37:45	ga_s2bm_ard_3-2-1_51KUQ_2018-02-13_final
2018-02-23 11:40:38	ga_s2bm_ard_3-2-1_51KUQ_2018-02-23_final
2018-11-06 12:03:41	ga_s2bm_ard_3-2-1_50KNA_2018-11-06_final
2018-11-17 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2018-11-17_final
2018-11-17 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2018-11-17_final
2018-11-17 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2018-11-17_final
2018-12-13 11:53:54	ga_s2bm_ard_3-2-1_50KQV_2018-12-13_final
2018-12-16 12:03:46	ga_s2bm_ard_3-2-1_50KMA_2018-12-16_final
2018-12-20 11:44:36	ga_s2bm_ard_3-2-1_51JUM_2018-12-20_final
2018-12-20 11:44:46	ga_s2bm_ard_3-2-1_51JUL_2018-12-20_final
2018-12-23 11:54:09	ga_s2bm_ard_3-2-1_50KQU_2018-12-23_final
2018-12-23 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2018-12-23_final
2018-12-26 12:03:29	ga_s2bm_ard_3-2-1_50KNB_2018-12-26_final
2018-12-27 11:34:36	ga_s2bm_ard_3-2-1_51JWM_2018-12-27_final
2018-12-30 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2018-12-30_final
2019-01-02 11:53:48	ga_s2bm_ard_3-2-1_50KPA_2019-01-02_final
2019-01-02 11:54:16	ga_s2bm_ard_3-2-1_50KPU_2019-01-02_final
2019-01-03 11:24:30	ga_s2bm_ard_3-2-1_51JZM_2019-01-03_final
2019-01-05 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2019-01-05_final
2019-01-06 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2019-01-06_final
2019-01-06 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2019-01-06_final
2019-01-09 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2019-01-09_final
2019-01-09 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2019-01-09_final
2019-01-13 11:25:09	ga_s2bm_ard_3-2-1_51JXK_2019-01-13_final
2019-01-16 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2019-01-16_final
2019-01-23 11:25:20	ga_s2bm_ard_3-2-1_51JYJ_2019-01-23_final
2019-01-29 11:43:47	ga_s2bm_ard_3-2-1_51KTR_2019-01-29_final
2019-01-29 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2019-01-29_final
2019-11-11 12:03:44	ga_s2bm_ard_3-2-1_50KNA_2019-11-11_final
2019-11-15 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2019-11-15_final
2019-11-22 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2019-11-22_final
2019-11-25 11:44:27	ga_s2bm_ard_3-2-1_51JTN_2019-11-25_final
2020-01-24 11:44:20	ga_s2bm_ard_3-2-1_51JUN_2020-01-24_final
2020-01-31 11:34:07	ga_s2bm_ard_3-2-1_51KVP_2020-01-31_final
2020-02-23 11:46:46	ga_s2bm_ard_3-2-1_50HMJ_2020-02-23_final
2020-03-04 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-03-04_final
2020-03-04 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2020-03-04_final
2020-03-11 11:33:56	ga_s2bm_ard_3-2-1_51KUQ_2020-03-11_final
2020-03-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2020-03-14_final.stac-item
2020-07-28 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2020-07-28_final
2020-10-27 11:34:28	ga_s2bm_ard_3-2-1_51JWN_2020-10-27_final
2020-11-09 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2020-11-09_final
2020-11-19 11:44:28	ga_s2bm_ard_3-2-1_51JUN_2020-11-19_final
2020-12-16 11:34:25	ga_s2bm_ard_3-2-1_51JVN_2020-12-16_final
2020-12-18 12:15:06	ga_s2bm_ard_3-2-1_49JGL_2020-12-18_final
2020-12-19 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2020-12-19_final
2020-12-19 11:43:29	ga_s2bm_ard_3-2-1_50KRB_2020-12-19_final
2020-12-19 11:43:47	ga_s2bm_ard_3-2-1_50KQA_2020-12-19_final
2020-12-19 11:43:58	ga_s2bm_ard_3-2-1_50KRV_2020-12-19_final
2020-12-25 12:03:41	ga_s2bm_ard_3-2-1_50KNA_2020-12-25_final
2021-01-09 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2021-01-09_final
2021-01-28 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2021-01-28_final
2021-02-14 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-02-14_final
2021-02-17 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2021-02-17_final
2021-03-02 11:53:59	ga_s2bm_ard_3-2-1_50KQV_2021-03-02_final
2021-07-01 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2021-07-01_final
2021-10-15 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2021-10-15_final
2021-11-14 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2021-11-14_final
2021-11-24 11:43:57	ga_s2bm_ard_3-2-1_50KRV_2021-11-24_final
2021-11-24 11:44:01	ga_s2bm_ard_3-2-1_50KPV_2021-11-24_final
2021-12-08 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2021-12-08_final
2022-01-03 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2022-01-03_final
2022-01-03 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2022-01-03_final
2022-01-10 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2022-01-10_final
2022-01-13 11:44:23	ga_s2bm_ard_3-2-1_51JUN_2022-01-13_final
2022-01-30 11:34:10	ga_s2bm_ard_3-2-1_51JXN_2022-01-30_final
2022-02-12 11:43:30	ga_s2bm_ard_3-2-1_50KQB_2022-02-12_final
2022-02-12 11:43:59	ga_s2bm_ard_3-2-1_50KQV_2022-02-12_final
2022-02-12 11:44:10	ga_s2bm_ard_3-2-1_50KRU_2022-02-12_final
2022-05-29 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-05-29_final
2022-07-03 11:17:04	ga_s2bm_ard_3-2-1_51HWC_2022-07-03_final.stac-item
2022-09-24 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2022-09-24_final.stac-item
2022-11-16 11:34:25	ga_s2bm_ard_3-2-1_51JWN_2022-11-16_final.stac-item
2022-11-16 11:37:17	ga_s2bm_ard_3-2-1_50HQG_2022-11-16_final.stac-item
2022-11-19 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2022-11-19_final.stac-item
2022-11-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-29_final.stac-item
2022-12-10 11:15:18	ga_s2bm_ard_3-2-1_51JYJ_2022-12-10_final.stac-item
2022-12-16 11:34:27	ga_s2bm_ard_3-2-1_51JVN_2022-12-16_final.stac-item
2022-12-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-12-29_final.stac-item
2022-12-30 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2022-12-30_final.stac-item
2023-01-02 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-01-02_final.stac-item
2023-02-11 11:25:04	ga_s2bm_ard_3-2-1_51JYK_2023-02-11_final.stac-item
2023-02-21 11:25:05	ga_s2bm_ard_3-2-1_51JYK_2023-02-21_final.stac-item
2023-02-27 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2023-02-27_final.stac-item
2023-03-06 11:37:20	ga_s2bm_ard_3-2-1_50HQG_2023-03-06_final.stac-item
2023-03-09 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-03-09_final.stac-item
2023-07-24 11:37:23	ga_s2bm_ard_3-2-1_50HQG_2023-07-24_final.stac-item
2023-10-15 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2023-10-15_final.stac-item
2023-11-01 11:37:23	ga_s2bm_ard_3-2-1_50HPG_2023-11-01_final.stac-item
2023-12-01 11:33:19	ga_s2bm_ard_3-2-1_51KUT_2023-12-01_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