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_50KRU_2017-11-25_final
2017-11-29 11:25:05	ga_s2bm_ard_3-2-1_51HWC_2017-11-29_final.stac-item
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KUP_2017-12-12_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_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_51KUS_2018-02-03_final
2018-03-05 11:42:06	ga_s2bm_ard_3-2-1_51KUV_2018-03-05_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50JPS_2018-03-28_final
2018-03-31 12:02:45	ga_s2bm_ard_3-2-1_50JLP_2018-03-31_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_50HPK_2018-04-01_final
2018-04-08 11:24:02	ga_s2bm_ard_3-2-1_51HWC_2018-04-08_final.stac-item
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50JPL_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HPK_2018-04-24_final
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_50JPL_2018-04-24_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50JPN_2018-04-24_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_50HQG_2018-08-09_final.stac-item
2018-08-29 11:30:45	ga_s2bm_ard_3-2-1_50HPG_2018-08-29_final.stac-item
2018-08-29 11:37:08	ga_s2bm_ard_3-2-1_50HPG_2018-08-29_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUU_2018-09-01_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KUS_2018-10-31_final
2018-11-20 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2018-11-20_final
2018-12-07 11:33:42	ga_s2bm_ard_3-2-1_51KUR_2018-12-07_final
2018-12-30 11:47:14	ga_s2bm_ard_3-2-1_50HPG_2018-12-30_final.stac-item
2019-01-06 11:36:41	ga_s2bm_ard_3-2-1_51HUD_2019-01-06_final
2019-01-09 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2019-01-09_final
2019-04-23 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2019-04-23_final
2019-04-25 12:06:02	ga_s2bm_ard_3-2-1_50JKN_2019-04-25_final
2019-05-09 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-05-09_final
2019-07-05 11:37:09	ga_s2bm_ard_3-2-1_51HTC_2019-07-05_final
2019-09-05 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2019-09-05_final.stac-item
2019-10-13 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-13_final
2019-11-15 11:42:26	ga_s2bm_ard_3-2-1_51KVA_2019-11-15_final
2019-12-12 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2019-12-12_final
2020-01-04 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2020-01-04_final
2020-01-04 11:47:12	ga_s2bm_ard_3-2-1_50HPG_2020-01-04_final.stac-item
2020-02-10 11:34:12	ga_s2bm_ard_3-2-1_51KUP_2020-02-10_final
2020-05-17 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2020-05-17_final
2020-05-24 11:15:54	ga_s2bm_ard_3-2-1_51JYG_2020-05-24_final
2020-06-12 11:43:02	ga_s2bm_ard_3-2-1_51KUU_2020-06-12_final
2020-06-12 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2020-06-12_final
2020-06-19 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2020-06-19_final
2020-07-19 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2020-07-19_final.stac-item
2020-08-31 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2020-08-31_final
2020-09-20 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-09-20_final
2020-10-30 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-10-30_final
2020-10-30 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-30_final.stac-item
2020-11-19 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2020-11-19_final
2020-11-29 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2020-11-29_final
2020-12-29 11:43:01	ga_s2bm_ard_3-2-1_51KTU_2020-12-29_final
2021-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2021-01-04_final
2021-01-09 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-09_final.stac-item
2021-01-25 11:34:03	ga_s2bm_ard_3-2-1_51KUQ_2021-01-25_final
2021-01-25 11:37:01	ga_s2bm_ard_3-2-1_51HTC_2021-01-25_final
2021-02-10 11:56:24	ga_s2bm_ard_3-2-1_50JLL_2021-02-10_final
2021-03-06 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2021-03-06_final
2021-03-29 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-29_final
2021-04-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2021-04-08_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
2021-06-13 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2021-06-13_final
2021-07-21 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2021-07-21_final
2021-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2021-07-23_final.stac-item
2021-08-13 11:37:27	ga_s2bm_ard_3-2-1_50HNG_2021-08-13_final.stac-item
2021-10-12 11:33:23	ga_s2bm_ard_3-2-1_51KUT_2021-10-12_final
2021-10-15 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2021-10-15_final
2021-11-24 11:42:42	ga_s2bm_ard_3-2-1_51KUV_2021-11-24_final
2021-12-05 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2021-12-05_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
2022-01-06 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2022-01-06_final.stac-item
2022-01-26 11:57:00	ga_s2bm_ard_3-2-1_50HMH_2022-01-26_final
2022-02-12 11:43:27	ga_s2bm_ard_3-2-1_50KRB_2022-02-12_final
2022-02-28 12:05:25	ga_s2bm_ard_3-2-1_49JGK_2022-02-28_final
2022-04-19 12:03:40	ga_s2bm_ard_3-2-1_49KHS_2022-04-19_final.stac-item
2022-06-12 11:42:19	ga_s2bm_ard_3-2-1_51KUB_2022-06-12_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
2022-09-11 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2022-09-11_final.stac-item
2022-09-16 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2022-09-16_final.stac-item
2022-12-09 11:43:54	ga_s2bm_ard_3-2-1_51KUQ_2022-12-09_final.stac-item
2023-01-08 11:44:10	ga_s2bm_ard_3-2-1_51KUP_2023-01-08_final.stac-item
2023-02-04 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2023-02-04_final.stac-item
2023-03-06 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-03-06_final.stac-item
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_50KRC_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
2023-06-10 11:53:15	ga_s2bm_ard_3-2-1_50KRC_2023-06-10_final.stac-item
2023-07-04 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2023-07-04_final.stac-item
2023-07-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-07-07_final.stac-item
2023-12-14 11:43:16	ga_s2bm_ard_3-2-1_51KTT_2023-12-14_final.stac-item
2024-01-30 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2024-01-30_final.stac-item
2024-02-12 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2024-02-12_final.stac-item
2024-02-22 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2024-02-22_final.stac-item
2024-03-04 11:14:34	ga_s2bm_ard_3-2-1_51JZM_2024-03-04_final.stac-item
2024-04-12 11:43:04	ga_s2bm_ard_3-2-1_50KRD_2024-04-12_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