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
2017-08-07 11:38:33	ga_s2bm_ard_3-2-1_51KUT_2017-08-07_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KUV_2017-12-05_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51KZP_2017-12-29_final
2018-01-24 11:37:42	ga_s2bm_ard_3-2-1_51KVT_2018-01-24_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWT_2018-02-10_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51KZQ_2018-02-24_final
2018-03-05 11:36:41	ga_s2bm_ard_3-2-1_51LUE_2018-03-05_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JGM_2018-03-14_final
2018-06-27 11:19:19	ga_s2bm_ard_3-2-1_51KZT_2018-06-27_final
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51KXU_2018-07-07_final
2018-08-06 11:21:51	ga_s2bm_ard_3-2-1_51KXQ_2018-08-06_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KUT_2018-08-19_final
2018-11-01 11:08:37	ga_s2bm_ard_3-2-1_51KZQ_2018-11-01_final
2018-11-07 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2018-11-07_final
2019-01-26 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2019-01-26_final
2019-04-29 11:44:05	ga_s2bm_ard_3-2-1_51KUQ_2019-04-29_final
2019-05-06 11:33:09	ga_s2bm_ard_3-2-1_51KVU_2019-05-06_final
2019-05-25 12:05:23	ga_s2bm_ard_3-2-1_49JGL_2019-05-25_final
2019-06-09 11:14:02	ga_s2bm_ard_3-2-1_51KZQ_2019-06-09_final
2019-06-14 12:03:51	ga_s2bm_ard_3-2-1_50KKB_2019-06-14_final
2019-06-25 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-06-25_final
2019-07-15 11:33:07	ga_s2bm_ard_3-2-1_51KWU_2019-07-15_final
2019-07-18 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-07-18_final
2019-08-27 11:42:33	ga_s2bm_ard_3-2-1_51KVA_2019-08-27_final
2019-09-20 11:23:20	ga_s2bm_ard_3-2-1_51KZS_2019-09-20_final
2019-09-30 11:23:50	ga_s2bm_ard_3-2-1_51KZQ_2019-09-30_final
2019-10-03 11:33:04	ga_s2bm_ard_3-2-1_51KWU_2019-10-03_final
2019-10-07 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2019-10-07_final
2019-10-17 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2019-10-17_final
2019-11-18 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2019-11-18_final
2019-12-21 12:03:54	ga_s2bm_ard_3-2-1_49KHR_2019-12-21_final
2020-02-16 11:55:52	ga_s2bm_ard_3-2-1_50JLN_2020-02-16_final
2020-03-08 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2020-03-08_final
2020-03-08 11:23:55	ga_s2bm_ard_3-2-1_51KXQ_2020-03-08_final
2020-03-18 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2020-03-18_final
2020-03-28 11:24:12	ga_s2bm_ard_3-2-1_51KWP_2020-03-28_final
2020-03-31 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2020-03-31_final
2020-04-20 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2020-04-20_final
2020-05-06 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2020-05-06_final.stac-item
2020-05-20 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2020-05-20_final
2020-05-24 11:15:54	ga_s2bm_ard_3-2-1_51JYG_2020-05-24_final
2020-07-06 11:23:41	ga_s2bm_ard_3-2-1_51KYR_2020-07-06_final
2020-07-28 12:06:07	ga_s2bm_ard_3-2-1_50JLM_2020-07-28_final
2020-08-08 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-08-08_final
2020-08-12 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2020-08-12_final
2020-11-06 11:33:50	ga_s2bm_ard_3-2-1_51KUR_2020-11-06_final
2021-01-18 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2021-01-18_final
2021-03-26 11:33:11	ga_s2bm_ard_3-2-1_51KWT_2021-03-26_final
2021-04-15 11:33:18	ga_s2bm_ard_3-2-1_51KUT_2021-04-15_final
2021-05-05 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2021-05-05_final
2021-06-24 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2021-06-24_final
2021-07-24 11:34:27	ga_s2bm_ard_3-2-1_51JWN_2021-07-24_final
2021-07-30 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2021-07-30_final
2021-08-23 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2021-08-23_final
2021-08-26 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-08-26_final
2021-09-12 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2021-09-12_final
2021-09-19 11:23:21	ga_s2bm_ard_3-2-1_51KYS_2021-09-19_final
2021-10-29 11:23:55	ga_s2bm_ard_3-2-1_51KYQ_2021-10-29_final
2021-11-18 11:24:09	ga_s2bm_ard_3-2-1_51KXP_2021-11-18_final
2021-11-21 11:32:26	ga_s2bm_ard_3-2-1_51KWA_2021-11-21_final
2021-11-21 11:32:37	ga_s2bm_ard_3-2-1_51KXV_2021-11-21_final
2021-11-21 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2021-11-21_final
2021-12-01 11:33:43	ga_s2bm_ard_3-2-1_51KUR_2021-12-01_final
2022-02-09 11:32:23	ga_s2bm_ard_3-2-1_51KWA_2022-02-09_final
2022-02-09 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-02-09_final
2022-03-18 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2022-03-18_final
2022-04-02 12:14:23	ga_s2bm_ard_3-2-1_49KGP_2022-04-02_final
2022-05-13 11:42:29	ga_s2bm_ard_3-2-1_51KUA_2022-05-13_final
2022-06-09 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2022-06-09_final
2022-06-28 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2022-06-28_final
2022-07-19 11:33:39	ga_s2bm_ard_3-2-1_51KUS_2022-07-19_final
2022-10-09 12:14:58	ga_s2bm_ard_3-2-1_49JFM_2022-10-09_final.stac-item
2022-10-14 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2022-10-14_final.stac-item
2022-10-20 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2022-10-20_final.stac-item
2022-10-24 11:23:56	ga_s2bm_ard_3-2-1_51KXQ_2022-10-24_final.stac-item
2022-10-27 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-10-27_final.stac-item
2022-11-26 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-26_final.stac-item
2022-12-15 12:05:50	ga_s2bm_ard_3-2-1_50JLN_2022-12-15_final.stac-item
2022-12-23 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2022-12-23_final.stac-item
2023-01-29 12:50:56	ga_s2bm_ard_3-2-1_48LXP_2023-01-29_interim.stac-item
2023-02-01 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2023-02-01_final.stac-item
2023-02-14 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2023-02-14_final.stac-item
2023-02-21 11:23:39	ga_s2bm_ard_3-2-1_51KYR_2023-02-21_final.stac-item
2023-02-24 11:32:11	ga_s2bm_ard_3-2-1_51KXB_2023-02-24_final.stac-item
2023-05-12 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2023-05-12_final.stac-item
2023-06-14 11:36:48	ga_s2bm_ard_3-2-1_51HUD_2023-06-14_final.stac-item
2023-07-04 11:36:43	ga_s2bm_ard_3-2-1_50HPK_2023-07-04_final.stac-item
2023-07-14 11:36:57	ga_s2bm_ard_3-2-1_50HPJ_2023-07-14_final.stac-item
2023-07-31 11:23:06	ga_s2bm_ard_3-2-1_51KXU_2023-07-31_final.stac-item
2023-08-03 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-08-03_final.stac-item
2023-09-02 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-09-02_final.stac-item
2023-10-16 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-10-16_final.stac-item
2023-11-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2023-11-24_final.stac-item
2024-01-07 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2024-01-07_final.stac-item
2024-01-17 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2024-01-17_final.stac-item
2024-01-20 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2024-01-20_final.stac-item
2024-02-23 11:14:09	ga_s2bm_ard_3-2-1_51KZP_2024-02-23_final.stac-item
2024-04-09 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2024-04-09_final.stac-item
2024-04-16 11:23:22	ga_s2bm_ard_3-2-1_51KZS_2024-04-16_final.stac-item
2024-04-23 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2024-04-23_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