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
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_51KUS_2017-09-16_final
2017-09-23 11:35:47	ga_s2bm_ard_3-2-1_51HTD_2017-09-23_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JVF_2017-09-30_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JKN_2017-11-08_final
2017-11-19 11:16:47	ga_s2bm_ard_3-2-1_51KXU_2017-11-19_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLP_2017-12-18_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KUT_2017-12-25_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KXA_2018-03-02_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51KYT_2018-03-19_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KUS_2018-05-21_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_49JGM_2018-06-19_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JLM_2018-06-26_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_49KHR_2018-09-27_final
2018-10-17 12:03:15	ga_s2bm_ard_3-2-1_50JLT_2018-10-17_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUV_2018-10-21_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXN_2018-10-25_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HPJ_2018-10-31_final
2018-11-07 11:32:12	ga_s2bm_ard_3-2-1_51KWB_2018-11-07_final
2018-11-24 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2018-11-24_final
2019-02-05 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2019-02-05_final
2019-02-05 11:33:22	ga_s2bm_ard_3-2-1_51KUT_2019-02-05_final
2019-02-28 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2019-02-28_final
2019-03-24 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2019-03-24_final
2019-04-13 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2019-04-13_final
2019-05-05 12:03:52	ga_s2bm_ard_3-2-1_50KKB_2019-05-05_final
2019-05-13 11:24:23	ga_s2bm_ard_3-2-1_51KWP_2019-05-13_final
2019-05-25 12:05:36	ga_s2bm_ard_3-2-1_50JKQ_2019-05-25_final
2019-06-01 11:56:59	ga_s2bm_ard_3-2-1_50HMJ_2019-06-01_final
2019-06-15 11:36:39	ga_s2bm_ard_3-2-1_51HTE_2019-06-15_final
2019-07-22 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-07-22_final
2019-08-04 11:33:02	ga_s2bm_ard_3-2-1_51KXU_2019-08-04_final
2019-10-06 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2019-10-06_final
2019-10-26 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2019-10-26_final
2019-12-01 12:05:10	ga_s2bm_ard_3-2-1_49JGL_2019-12-01_final
2019-12-25 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2019-12-25_final
2020-01-21 11:33:10	ga_s2bm_ard_3-2-1_51KVT_2020-01-21_final
2020-01-24 11:43:51	ga_s2bm_ard_3-2-1_51KUQ_2020-01-24_final
2020-01-27 11:57:02	ga_s2bm_ard_3-2-1_50HLH_2020-01-27_final
2020-03-04 11:42:07	ga_s2bm_ard_3-2-1_51KWB_2020-03-04_final
2020-03-27 11:52:32	ga_s2bm_ard_3-2-1_50KQF_2020-03-27_final.stac-item
2020-04-07 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2020-04-07_final
2020-04-23 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2020-04-23_final
2020-04-29 12:04:20	ga_s2bm_ard_3-2-1_50KLU_2020-04-29_final
2020-05-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2020-05-03_final
2020-05-10 11:34:30	ga_s2bm_ard_3-2-1_51JUN_2020-05-10_final
2020-05-16 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2020-05-16_final
2020-06-16 11:27:04	ga_s2bm_ard_3-2-1_51HUC_2020-06-16_final
2020-08-21 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-08-21_final
2020-09-07 11:34:18	ga_s2bm_ard_3-2-1_51JXN_2020-09-07_final
2020-09-20 11:46:28	ga_s2bm_ard_3-2-1_50JML_2020-09-20_final
2020-11-13 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2020-11-13_final
2020-11-16 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2020-11-16_final
2021-01-18 11:43:11	ga_s2bm_ard_3-2-1_51KVT_2021-01-18_final
2021-01-29 11:16:58	ga_s2bm_ard_3-2-1_51HWC_2021-01-29_final.stac-item
2021-02-04 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2021-02-04_final
2021-03-10 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2021-03-10_final
2021-03-13 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2021-03-13_final
2021-05-18 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2021-05-18_final
2021-08-02 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2021-08-02_final
2021-10-01 12:03:19	ga_s2bm_ard_3-2-1_50KNC_2021-10-01_final
2021-10-01 12:04:31	ga_s2bm_ard_3-2-1_49KGP_2021-10-01_final
2022-01-19 12:03:15	ga_s2bm_ard_3-2-1_50KNC_2022-01-19_final
2022-02-08 12:05:09	ga_s2bm_ard_3-2-1_49JGL_2022-02-08_final
2022-02-15 11:56:30	ga_s2bm_ard_3-2-1_50HMK_2022-02-15_final
2022-03-03 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-03-03_final
2022-03-24 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2022-03-24_final
2022-04-29 12:05:37	ga_s2bm_ard_3-2-1_49JGJ_2022-04-29_final
2022-05-02 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-05-02_final
2022-05-17 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2022-05-17_final
2022-06-06 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2022-06-06_final
2022-06-09 11:35:00	ga_s2bm_ard_3-2-1_51JVL_2022-06-09_final
2022-07-26 11:24:13	ga_s2bm_ard_3-2-1_51KYP_2022-07-26_final
2022-08-07 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2022-08-07_final
2022-08-17 12:04:50	ga_s2bm_ard_3-2-1_49JGN_2022-08-17_final
2022-08-17 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2022-08-17_final
2022-10-10 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-10-10_final.stac-item
2022-10-14 11:26:35	ga_s2bm_ard_3-2-1_51HXD_2022-10-14_final.stac-item
2022-10-17 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2022-10-17_final.stac-item
2022-12-25 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2022-12-25_final.stac-item
2023-01-05 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2023-01-05_final.stac-item
2023-01-25 11:32:05	ga_s2bm_ard_3-2-1_51KYB_2023-01-25_final.stac-item
2023-01-28 11:43:31	ga_s2bm_ard_3-2-1_50KRB_2023-01-28_final.stac-item
2023-02-11 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2023-02-11_final.stac-item
2023-02-14 11:35:43	ga_s2bm_ard_3-2-1_51JUH_2023-02-14_final.stac-item
2023-02-21 11:22:11	ga_s2bm_ard_3-2-1_51KYB_2023-02-21_final.stac-item
2023-02-28 12:51:01	ga_s2bm_ard_3-2-1_48LWP_2023-02-28_final.stac-item
2023-03-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-05_final.stac-item
2023-06-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-06-17_final.stac-item
2023-07-31 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-07-31_final.stac-item
2023-10-11 12:05:53	ga_s2bm_ard_3-2-1_50JLN_2023-10-11_final.stac-item
2023-10-15 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2023-10-15_final.stac-item
2023-10-28 11:52:36	ga_s2bm_ard_3-2-1_50KQF_2023-10-28_final.stac-item
2023-11-11 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-11-11_final.stac-item
2023-11-14 11:46:19	ga_s2bm_ard_3-2-1_50JPL_2023-11-14_final.stac-item
2023-11-24 11:42:04	ga_s2bm_ard_3-2-1_51KWB_2023-11-24_final.stac-item
2023-11-27 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2023-11-27_final.stac-item
2024-01-16 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2024-01-16_final.stac-item
2024-02-18 12:05:42	ga_s2bm_ard_3-2-1_50JKP_2024-02-18_final.stac-item
2024-04-15 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2024-04-15_final.stac-item
2024-04-22 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2024-04-22_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