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
2017-07-05 11:27:30	ga_s2bm_ard_3-2-1_51KVU_2017-07-05_final
2017-10-15 12:14:28	ga_s2bm_ard_3-2-1_49JFM_2017-10-15_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KXQ_2017-11-02_final
2017-11-06 11:13:39	ga_s2bm_ard_3-2-1_51HXD_2017-11-06_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KTU_2017-11-25_final
2018-01-18 11:16:52	ga_s2bm_ard_3-2-1_51KXS_2018-01-18_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KWU_2018-02-10_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KVU_2018-04-04_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUT_2018-05-01_final
2018-05-14 11:37:58	ga_s2bm_ard_3-2-1_51KVA_2018-05-14_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KUU_2018-06-23_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMH_2018-10-01_final
2018-10-04 11:52:44	ga_s2bm_ard_3-2-1_50JKN_2018-10-04_final
2018-10-07 12:02:45	ga_s2bm_ard_3-2-1_49JGN_2018-10-07_final
2018-11-07 11:33:32	ga_s2bm_ard_3-2-1_51KUS_2018-11-07_final
2018-11-07 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2018-11-07_final
2018-11-09 12:14:24	ga_s2bm_ard_3-2-1_49KGP_2018-11-09_final
2018-11-17 11:37:18	ga_s2bm_ard_3-2-1_50HPG_2018-11-17_final.stac-item
2018-11-20 11:42:43	ga_s2bm_ard_3-2-1_51KUV_2018-11-20_final
2018-11-30 11:43:25	ga_s2bm_ard_3-2-1_51KUS_2018-11-30_final
2018-12-17 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2018-12-17_final
2018-12-30 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2018-12-30_final
2019-01-06 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2019-01-06_final
2019-01-28 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2019-01-28_final
2019-02-04 12:05:01	ga_s2bm_ard_3-2-1_49JGM_2019-02-04_final
2019-02-18 11:42:42	ga_s2bm_ard_3-2-1_51KVV_2019-02-18_final
2019-02-18 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-02-18_final
2019-02-18 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-02-18_final
2019-04-16 11:34:05	ga_s2bm_ard_3-2-1_51KVQ_2019-04-16_final
2019-05-06 11:34:04	ga_s2bm_ard_3-2-1_51KWQ_2019-05-06_final
2019-05-09 11:42:27	ga_s2bm_ard_3-2-1_51KVB_2019-05-09_final
2019-05-09 11:43:26	ga_s2bm_ard_3-2-1_51KTT_2019-05-09_final
2019-05-29 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-05-29_final
2019-06-25 11:32:57	ga_s2bm_ard_3-2-1_51KVV_2019-06-25_final
2019-07-15 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-07-15_final
2019-07-22 11:23:51	ga_s2bm_ard_3-2-1_51KXR_2019-07-22_final
2019-08-04 11:32:57	ga_s2bm_ard_3-2-1_51KVV_2019-08-04_final
2019-08-17 11:42:52	ga_s2bm_ard_3-2-1_51KUV_2019-08-17_final
2019-09-26 11:43:29	ga_s2bm_ard_3-2-1_51KUS_2019-09-26_final
2020-01-25 11:16:52	ga_s2bm_ard_3-2-1_51HWC_2020-01-25_final.stac-item
2020-02-03 11:43:11	ga_s2bm_ard_3-2-1_51KTT_2020-02-03_final
2020-03-11 11:37:19	ga_s2bm_ard_3-2-1_50HPG_2020-03-11_final.stac-item
2020-03-28 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2020-03-28_final
2020-04-10 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2020-04-10_final
2020-04-20 11:33:47	ga_s2bm_ard_3-2-1_51KXQ_2020-04-20_final
2020-06-29 11:36:34	ga_s2bm_ard_3-2-1_51HTE_2020-06-29_final
2020-07-16 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2020-07-16_final
2020-07-29 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2020-07-29_final.stac-item
2020-08-10 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2020-08-10_final
2020-08-11 11:46:16	ga_s2bm_ard_3-2-1_50JMM_2020-08-11_final
2020-08-21 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2020-08-21_final
2020-10-23 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2020-10-23_final.stac-item
2020-11-02 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2020-11-02_final.stac-item
2021-02-10 11:55:55	ga_s2bm_ard_3-2-1_50JLN_2021-02-10_final
2021-03-05 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2021-03-05_final
2021-03-06 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2021-03-06_final
2021-05-05 11:33:06	ga_s2bm_ard_3-2-1_51KVU_2021-05-05_final
2021-07-17 11:42:48	ga_s2bm_ard_3-2-1_51KUV_2021-07-17_final
2021-07-24 11:36:22	ga_s2bm_ard_3-2-1_50JQL_2021-07-24_final
2021-07-27 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2021-07-27_final
2021-08-20 11:24:55	ga_s2bm_ard_3-2-1_51JXL_2021-08-20_final
2021-09-12 11:33:49	ga_s2bm_ard_3-2-1_51KXQ_2021-09-12_final
2021-09-22 11:33:20	ga_s2bm_ard_3-2-1_51KUT_2021-09-22_final
2021-11-14 11:42:45	ga_s2bm_ard_3-2-1_51KUV_2021-11-14_final
2021-11-21 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2021-11-21_final
2022-01-30 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2022-01-30_final.stac-item
2022-02-19 11:33:50	ga_s2bm_ard_3-2-1_51KWQ_2022-02-19_final
2022-04-13 11:43:21	ga_s2bm_ard_3-2-1_51KVS_2022-04-13_final
2022-04-20 11:34:11	ga_s2bm_ard_3-2-1_51JXN_2022-04-20_final
2022-05-26 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2022-05-26_final
2022-06-29 11:33:32	ga_s2bm_ard_3-2-1_51KWS_2022-06-29_final
2022-07-29 11:37:26	ga_s2bm_ard_3-2-1_50HPG_2022-07-29_final.stac-item
2022-08-05 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2022-08-05_final.stac-item
2022-08-18 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2022-08-18_final
2022-10-11 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2022-10-11_final.stac-item
2022-10-30 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2022-10-30_final.stac-item
2022-11-06 11:34:09	ga_s2bm_ard_3-2-1_51KWP_2022-11-06_final.stac-item
2022-12-19 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2022-12-19_final.stac-item
2022-12-19 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-12-19_final.stac-item
2023-02-11 11:23:12	ga_s2bm_ard_3-2-1_51KXT_2023-02-11_final.stac-item
2023-04-02 11:25:27	ga_s2bm_ard_3-2-1_51JXJ_2023-04-02_final.stac-item
2023-04-22 11:27:09	ga_s2bm_ard_3-2-1_51HTC_2023-04-22_final.stac-item
2023-04-28 11:42:44	ga_s2bm_ard_3-2-1_51KVV_2023-04-28_final.stac-item
2023-05-15 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2023-05-15_final.stac-item
2023-05-18 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-05-18_final.stac-item
2023-06-13 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-06-13_final.stac-item
2023-07-04 11:32:52	ga_s2bm_ard_3-2-1_51KVV_2023-07-04_final.stac-item
2023-07-04 11:33:03	ga_s2bm_ard_3-2-1_51KWU_2023-07-04_final.stac-item
2023-08-06 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-08-06_final.stac-item
2023-08-15 12:15:02	ga_s2bm_ard_3-2-1_49JGM_2023-08-15_final.stac-item
2023-09-05 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-09-05_final.stac-item
2023-09-12 11:36:41	ga_s2bm_ard_3-2-1_50HPK_2023-09-12_final.stac-item
2023-10-31 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-31_final.stac-item
2023-11-07 11:53:24	ga_s2bm_ard_3-2-1_50KPC_2023-11-07_final.stac-item
2023-11-07 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-11-07_final.stac-item
2023-11-08 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2023-11-08_final.stac-item
2023-11-08 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-11-08_final.stac-item
2023-12-17 11:53:24	ga_s2bm_ard_3-2-1_50KNC_2023-12-17_final.stac-item
2023-12-27 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2023-12-27_final.stac-item
2024-03-20 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-03-20_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