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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51KVT_2017-07-18_final
2017-10-13 11:30:03	ga_s2bm_ard_3-2-1_51KXU_2017-10-13_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXT_2017-11-12_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50KQG_2017-12-18_final.stac-item
2018-02-03 11:40:42	ga_s2bm_ard_3-2-1_51JTL_2018-02-03_final
2018-03-02 11:30:31	ga_s2bm_ard_3-2-1_51KVT_2018-03-02_final
2018-03-05 11:36:41	ga_s2bm_ard_3-2-1_51LUE_2018-03-05_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KUU_2018-04-14_final
2018-04-21 11:26:19	ga_s2bm_ard_3-2-1_51KVT_2018-04-21_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KUB_2018-06-03_final.stac-item
2018-07-27 11:17:54	ga_s2bm_ard_3-2-1_51KYU_2018-07-27_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KYU_2018-08-26_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KXU_2018-10-08_final
2018-12-17 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2018-12-17_final
2019-01-06 11:33:00	ga_s2bm_ard_3-2-1_51KVU_2019-01-06_final
2019-05-09 11:43:11	ga_s2bm_ard_3-2-1_51KTU_2019-05-09_final
2019-05-13 11:23:00	ga_s2bm_ard_3-2-1_52KBD_2019-05-13_final
2019-05-16 11:33:32	ga_s2bm_ard_3-2-1_51KXS_2019-05-16_final
2019-05-23 11:26:56	ga_s2bm_ard_3-2-1_51HUD_2019-05-23_final
2019-05-26 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-05-26_final
2019-06-05 11:33:03	ga_s2bm_ard_3-2-1_51KXU_2019-06-05_final
2019-07-15 11:33:11	ga_s2bm_ard_3-2-1_51KYT_2019-07-15_final
2019-07-18 11:43:38	ga_s2bm_ard_3-2-1_51KUS_2019-07-18_final
2019-07-29 11:14:39	ga_s2bm_ard_3-2-1_51JZN_2019-07-29_final
2019-08-01 11:23:14	ga_s2bm_ard_3-2-1_52KBC_2019-08-01_final
2019-08-27 11:42:21	ga_s2bm_ard_3-2-1_51KUB_2019-08-27_final.stac-item
2019-08-27 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2019-08-27_final
2019-09-03 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2019-09-03_final
2019-10-06 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2019-10-06_final
2019-10-26 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-10-26_final
2019-10-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-10-30_final
2019-11-02 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2019-11-02_final
2019-11-05 11:43:25	ga_s2bm_ard_3-2-1_51KVS_2019-11-05_final
2019-11-09 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2019-11-09_final
2019-11-12 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2019-11-12_final
2019-12-29 11:23:16	ga_s2bm_ard_3-2-1_51KZS_2019-12-29_final
2020-01-14 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2020-01-14_final
2020-01-28 11:23:32	ga_s2bm_ard_3-2-1_51KYR_2020-01-28_final
2020-01-31 11:33:08	ga_s2bm_ard_3-2-1_51KVT_2020-01-31_final
2020-02-13 11:43:10	ga_s2bm_ard_3-2-1_51KUT_2020-02-13_final
2020-04-27 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2020-04-27_final
2020-04-30 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-04-30_final
2020-07-12 11:43:26	ga_s2bm_ard_3-2-1_51KVS_2020-07-12_final
2020-07-16 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2020-07-16_final
2020-11-03 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-11-03_final
2020-11-06 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2020-11-06_final
2020-12-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2020-12-06_final
2021-01-02 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2021-01-02_final
2021-01-08 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2021-01-08_final
2021-03-03 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2021-03-03_final
2021-03-06 11:32:57	ga_s2bm_ard_3-2-1_51KWU_2021-03-06_final
2021-03-06 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2021-03-06_final
2021-03-09 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-03-09_final
2021-03-23 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-03-23_final
2021-06-11 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-06-11_final
2021-06-17 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-06-17_final
2021-07-04 11:32:56	ga_s2bm_ard_3-2-1_51KXU_2021-07-04_final
2021-07-24 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2021-07-24_final
2021-08-10 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-08-10_final
2021-08-10 11:24:33	ga_s2bm_ard_3-2-1_52JBS_2021-08-10_final
2021-09-19 11:23:07	ga_s2bm_ard_3-2-1_51KYT_2021-09-19_final
2021-11-28 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2021-11-28_final
2021-12-11 11:32:56	ga_s2bm_ard_3-2-1_51KVU_2021-12-11_final
2021-12-18 11:22:50	ga_s2bm_ard_3-2-1_51KYU_2021-12-18_final
2021-12-24 11:43:20	ga_s2bm_ard_3-2-1_51KVS_2021-12-24_final
2022-03-08 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2022-03-08_final
2022-03-21 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2022-03-21_final
2022-03-28 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2022-03-28_final
2022-05-07 11:23:53	ga_s2bm_ard_3-2-1_51KXQ_2022-05-07_final
2022-06-30 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2022-06-30_final
2022-08-05 11:24:02	ga_s2bm_ard_3-2-1_51KXQ_2022-08-05_final
2022-08-18 11:32:57	ga_s2bm_ard_3-2-1_51KXU_2022-08-18_final
2022-08-18 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2022-08-18_final
2022-08-22 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2022-08-22_final
2022-10-07 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2022-10-07_final.stac-item
2022-12-06 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2022-12-06_final.stac-item
2023-02-17 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2023-02-17_final.stac-item
2023-03-06 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2023-03-06_final.stac-item
2023-04-08 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-04-08_final.stac-item
2023-04-22 11:23:23	ga_s2bm_ard_3-2-1_51KZS_2023-04-22_final.stac-item
2023-04-29 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-04-29_final.stac-item
2023-05-12 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-05-12_final.stac-item
2023-05-22 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-05-22_final.stac-item
2023-07-23 12:03:50	ga_s2bm_ard_3-2-1_49KHS_2023-07-23_final.stac-item
2023-08-03 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2023-08-03_final.stac-item
2023-09-29 11:22:58	ga_s2bm_ard_3-2-1_51KYU_2023-09-29_final.stac-item
2023-10-12 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2023-10-12_final.stac-item
2023-11-13 12:13:40	ga_s2bm_ard_3-2-1_50KKB_2023-11-13_final.stac-item
2023-11-24 11:43:06	ga_s2bm_ard_3-2-1_51KVT_2023-11-24_final.stac-item
2023-12-01 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2023-12-01_final.stac-item
2023-12-01 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2023-12-01_final.stac-item
2023-12-08 11:23:36	ga_s2bm_ard_3-2-1_51KYR_2023-12-08_final.stac-item
2023-12-11 11:33:53	ga_s2bm_ard_3-2-1_51KWQ_2023-12-11_final.stac-item
2023-12-18 11:23:21	ga_s2bm_ard_3-2-1_51KZS_2023-12-18_final.stac-item
2023-12-21 11:33:42	ga_s2bm_ard_3-2-1_51KWR_2023-12-21_final.stac-item
2023-12-31 11:33:14	ga_s2bm_ard_3-2-1_51KWT_2023-12-31_final.stac-item
2024-01-07 11:22:55	ga_s2bm_ard_3-2-1_51KYU_2024-01-07_final.stac-item
2024-01-13 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2024-01-13_final.stac-item
2024-01-20 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2024-01-20_final.stac-item
2024-04-26 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2024-04-26_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