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_51KVS_2017-08-27_final
2017-09-23 11:29:24	ga_s2bm_ard_3-2-1_51KVT_2017-09-23_final
2017-11-12 11:27:16	ga_s2bm_ard_3-2-1_51KXU_2017-11-12_final
2017-11-14 12:13:08	ga_s2bm_ard_3-2-1_50KKB_2017-11-14_final
2017-11-29 11:19:33	ga_s2bm_ard_3-2-1_51KWQ_2017-11-29_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-05_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_50HMG_2017-12-15_final.stac-item
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51JUN_2017-12-15_final
2017-12-15 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-12-15_final
2018-01-01 11:30:30	ga_s2bm_ard_3-2-1_51KWU_2018-01-01_final
2018-01-14 11:40:41	ga_s2bm_ard_3-2-1_51KVT_2018-01-14_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HMH_2018-02-06_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51KVR_2018-03-02_final
2018-03-12 11:29:59	ga_s2bm_ard_3-2-1_51KXS_2018-03-12_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_49JFM_2018-03-14_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXQ_2018-05-21_final
2018-07-03 11:38:24	ga_s2bm_ard_3-2-1_51KVT_2018-07-03_final
2018-07-06 11:51:46	ga_s2bm_ard_3-2-1_50KQD_2018-07-06_final.stac-item
2018-07-07 11:21:54	ga_s2bm_ard_3-2-1_51HUD_2018-07-07_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KWQ_2018-07-10_final
2018-07-20 11:35:23	ga_s2bm_ard_3-2-1_50HPG_2018-07-20_final.stac-item
2018-09-01 11:35:18	ga_s2bm_ard_3-2-1_51KUT_2018-09-01_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51KXT_2018-09-08_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KVT_2018-09-18_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KWU_2018-10-18_final
2018-11-24 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2018-11-24_final
2018-12-27 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2018-12-27_final
2018-12-27 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2018-12-27_final
2019-01-09 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2019-01-09_final
2019-01-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-01-16_final
2019-02-12 11:23:57	ga_s2bm_ard_3-2-1_51KXQ_2019-02-12_final
2019-03-24 11:23:28	ga_s2bm_ard_3-2-1_51KXS_2019-03-24_final
2019-06-28 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-06-28_final
2019-07-15 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-15_final
2019-10-03 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-10-03_final
2019-11-02 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-11-02_final
2019-11-02 11:33:45	ga_s2bm_ard_3-2-1_51KVR_2019-11-02_final
2020-02-13 11:43:21	ga_s2bm_ard_3-2-1_51KUS_2020-02-13_final
2020-04-23 11:42:54	ga_s2bm_ard_3-2-1_51KUU_2020-04-23_final
2020-05-30 11:33:40	ga_s2bm_ard_3-2-1_51KXR_2020-05-30_final
2020-05-30 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2020-05-30_final
2020-06-26 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2020-06-26_final
2020-07-09 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2020-07-09_final
2020-10-17 11:37:01	ga_s2bm_ard_3-2-1_51HUC_2020-10-17_final
2020-10-20 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2020-10-20_final
2020-10-20 11:44:17	ga_s2bm_ard_3-2-1_51KUP_2020-10-20_final
2020-11-09 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2020-11-09_final
2020-12-16 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2020-12-16_final
2020-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KUU_2020-12-19_final
2021-01-05 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-01-05_final
2021-01-08 11:43:14	ga_s2bm_ard_3-2-1_51KUT_2021-01-08_final
2021-03-26 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2021-03-26_final.stac-item
2021-04-09 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2021-04-09_final
2021-06-14 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2021-06-14_final
2021-07-14 11:33:58	ga_s2bm_ard_3-2-1_51KWQ_2021-07-14_final
2021-08-06 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2021-08-06_final
2021-08-06 11:46:53	ga_s2bm_ard_3-2-1_50HNJ_2021-08-06_final
2021-08-23 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2021-08-23_final
2021-08-30 11:23:11	ga_s2bm_ard_3-2-1_51KXT_2021-08-30_final
2021-10-15 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2021-10-15_final
2021-10-22 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-10-22_final
2021-11-14 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-11-14_final
2021-11-17 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-11-17_final.stac-item
2021-11-18 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2021-11-18_final
2021-12-01 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2021-12-01_final
2021-12-04 11:43:31	ga_s2bm_ard_3-2-1_51KVR_2021-12-04_final
2021-12-21 11:36:41	ga_s2bm_ard_3-2-1_51HTD_2021-12-21_final
2021-12-21 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2021-12-21_final
2022-01-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-13_final
2022-01-20 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2022-01-20_final
2022-02-09 11:33:07	ga_s2bm_ard_3-2-1_51KWT_2022-02-09_final
2022-03-08 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2022-03-08_final
2022-03-31 11:33:31	ga_s2bm_ard_3-2-1_51KUS_2022-03-31_final
2022-05-03 11:42:08	ga_s2bm_ard_3-2-1_51KVB_2022-05-03_final
2022-06-09 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2022-06-09_final
2022-07-09 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2022-07-09_final
2022-09-19 12:13:41	ga_s2bm_ard_3-2-1_49KHS_2022-09-19_final.stac-item
2022-12-06 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2022-12-06_final.stac-item
2022-12-09 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-12-09_final.stac-item
2023-01-12 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2023-01-12_final.stac-item
2023-01-15 11:33:19	ga_s2bm_ard_3-2-1_51KUT_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
2023-02-27 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2023-02-27_final.stac-item
2023-03-09 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-03-09_final.stac-item
2023-03-29 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2023-03-29_final.stac-item
2023-04-08 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-04-08_final.stac-item
2023-04-28 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-04-28_final.stac-item
2023-05-28 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2023-05-28_final.stac-item
2023-08-03 11:33:27	ga_s2bm_ard_3-2-1_51KUT_2023-08-03_final.stac-item
2023-08-23 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-08-23_final.stac-item
2023-08-23 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-08-23_final.stac-item
2023-09-25 11:46:55	ga_s2bm_ard_3-2-1_50HNJ_2023-09-25_final.stac-item
2023-10-02 11:33:24	ga_s2bm_ard_3-2-1_51KUT_2023-10-02_final.stac-item
2023-12-04 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2023-12-04_final.stac-item
2023-12-21 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-12-21_final.stac-item
2024-01-17 11:24:14	ga_s2bm_ard_3-2-1_51KWP_2024-01-17_final.stac-item
2024-01-30 11:33:10	ga_s2bm_ard_3-2-1_51KWT_2024-01-30_final.stac-item
2024-03-02 12:13:37	ga_s2bm_ard_3-2-1_49KHS_2024-03-02_final.stac-item
2024-03-30 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2024-03-30_final.stac-item
2024-04-15 11:52:21	ga_s2bm_ard_3-2-1_50KQG_2024-04-15_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