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_51JUN_2017-08-27_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRD_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-11-25_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUR_2017-11-25_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HWC_2017-11-29_final.stac-item
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KVR_2017-12-02_final
2017-12-18 11:55:59	ga_s2bm_ard_3-2-1_50HMG_2017-12-18_final.stac-item
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JXK_2017-12-19_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JXL_2017-12-19_final
2017-12-19 11:19:33	ga_s2bm_ard_3-2-1_51JYJ_2017-12-19_final
2018-01-14 11:46:06	ga_s2bm_ard_3-2-1_50HLG_2018-01-14_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTL_2018-02-03_final
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51KVR_2018-02-03_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50HMH_2018-02-26_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50KPF_2018-02-26_final.stac-item
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KWQ_2018-03-12_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPS_2018-03-28_final
2018-03-29 11:23:39	ga_s2bm_ard_3-2-1_51HUE_2018-03-29_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HMJ_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNK_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPG_2018-04-24_final.stac-item
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JNR_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPN_2018-04-24_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KWP_2018-05-01_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51HWC_2018-07-04_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49KHS_2018-08-28_final.stac-item
2018-11-27 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2018-11-27_final
2018-11-27 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2018-11-27_final
2018-12-04 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2018-12-04_final
2018-12-04 11:24:14	ga_s2bm_ard_3-2-1_51JZN_2018-12-04_final
2018-12-17 11:34:10	ga_s2bm_ard_3-2-1_51JXN_2018-12-17_final
2018-12-24 11:24:15	ga_s2bm_ard_3-2-1_51JZN_2018-12-24_final
2019-01-09 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2019-01-09_final
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-01-09_final
2019-01-29 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2019-01-29_final
2019-01-29 11:44:31	ga_s2bm_ard_3-2-1_51JTN_2019-01-29_final
2019-04-09 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2019-04-09_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2019-09-05_final.stac-item
2019-11-12 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2019-11-12_final
2019-11-15 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2019-11-15_final
2019-11-25 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2019-11-25_final
2019-12-22 11:34:09	ga_s2bm_ard_3-2-1_51KVP_2019-12-22_final
2019-12-25 11:43:53	ga_s2bm_ard_3-2-1_51KUQ_2019-12-25_final
2020-01-01 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-01-01_final
2020-01-04 11:44:26	ga_s2bm_ard_3-2-1_51JTN_2020-01-04_final
2020-01-14 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2020-01-14_final
2020-03-14 11:43:02	ga_s2bm_ard_3-2-1_50KRD_2020-03-14_final
2020-07-19 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2020-07-19_final.stac-item
2020-08-07 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2020-08-07_final.stac-item
2020-10-30 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-30_final.stac-item
2020-11-06 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2020-11-06_final
2020-11-09 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2020-11-09_final
2020-11-16 11:33:02	ga_s2bm_ard_3-2-1_51KVU_2020-11-16_final
2020-11-29 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2020-11-29_final
2020-12-16 11:34:33	ga_s2bm_ard_3-2-1_50JRT_2020-12-16_final
2020-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2020-12-19_final
2021-01-15 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-01-15_final
2021-01-18 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2021-01-18_final
2021-01-25 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2021-01-25_final
2021-04-28 11:42:59	ga_s2bm_ard_3-2-1_51KTU_2021-04-28_final
2021-05-02 11:25:00	ga_s2bm_ard_3-2-1_51JVL_2021-05-02_final
2021-05-28 11:47:28	ga_s2bm_ard_3-2-1_50HLG_2021-05-28_final.stac-item
2021-06-14 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-06-14_final.stac-item
2021-07-10 11:57:25	ga_s2bm_ard_3-2-1_50HLG_2021-07-10_final.stac-item
2021-08-13 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-08-13_final.stac-item
2021-11-11 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-11-11_final
2021-11-11 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-11-11_final
2021-11-11 11:33:56	ga_s2bm_ard_3-2-1_51KWQ_2021-11-11_final
2021-11-11 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2021-11-11_final
2021-11-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2021-11-17_final
2021-11-24 11:43:00	ga_s2bm_ard_3-2-1_50KRD_2021-11-24_final
2021-12-07 11:54:14	ga_s2bm_ard_3-2-1_50KPU_2021-12-07_final
2021-12-07 11:54:18	ga_s2bm_ard_3-2-1_50JQT_2021-12-07_final
2021-12-11 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2021-12-11_final
2021-12-21 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2021-12-21_final
2021-12-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-12-24_final
2022-02-12 11:43:26	ga_s2bm_ard_3-2-1_51KTS_2022-02-12_final
2022-02-12 11:43:27	ga_s2bm_ard_3-2-1_50KRB_2022-02-12_final
2022-05-09 12:03:41	ga_s2bm_ard_3-2-1_49KHS_2022-05-09_final.stac-item
2022-06-12 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2022-06-12_final.stac-item
2022-07-05 11:52:25	ga_s2bm_ard_3-2-1_50KQG_2022-07-05_final.stac-item
2022-07-08 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2022-07-08_final.stac-item
2022-08-04 11:53:07	ga_s2bm_ard_3-2-1_50KQD_2022-08-04_final.stac-item
2022-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-19_final.stac-item
2022-12-26 11:32:54	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2022-12-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-12-26_final.stac-item
2022-12-29 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2022-12-29_final.stac-item
2023-01-11 11:53:28	ga_s2bm_ard_3-2-1_50KQB_2023-01-11_final.stac-item
2023-01-15 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2023-01-15_final.stac-item
2023-02-04 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-02-04_final.stac-item
2023-02-04 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2023-02-04_final.stac-item
2023-02-27 11:43:44	ga_s2bm_ard_3-2-1_51KUR_2023-02-27_final.stac-item
2023-02-27 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2023-02-27_final.stac-item
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2023-03-09_final.stac-item
2023-03-09 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2023-03-09_final.stac-item
2023-03-09 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-03-09_final.stac-item
2023-03-09 11:44:42	ga_s2bm_ard_3-2-1_51JUM_2023-03-09_final.stac-item
2023-03-09 11:44:44	ga_s2bm_ard_3-2-1_51JTM_2023-03-09_final.stac-item
2023-08-22 12:03:49	ga_s2bm_ard_3-2-1_49KHS_2023-08-22_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