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
2017-07-11 11:49:46	ga_s2bm_ard_3-2-1_50KRD_2017-07-11_final
2017-11-15 11:40:36	ga_s2bm_ard_3-2-1_51KVU_2017-11-15_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51KVS_2017-12-05_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KYT_2017-12-09_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KBV_2017-12-09_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51KVT_2017-12-12_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51LWC_2018-01-04_final
2018-08-10 11:00:47	ga_s2bm_ard_3-2-1_52JDR_2018-08-10_final
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52KHC_2018-09-29_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KWR_2018-10-28_final
2018-10-31 11:39:52	ga_s2bm_ard_3-2-1_51KVU_2018-10-31_final
2018-11-14 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2018-11-14_final
2018-11-17 11:33:21	ga_s2bm_ard_3-2-1_51KXS_2018-11-17_final
2018-11-24 11:23:03	ga_s2bm_ard_3-2-1_51KZT_2018-11-24_final
2018-11-24 11:23:10	ga_s2bm_ard_3-2-1_51KXT_2018-11-24_final
2018-11-24 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2018-11-24_final
2018-12-11 11:13:30	ga_s2bm_ard_3-2-1_52KCA_2018-12-11_final
2018-12-11 11:15:06	ga_s2bm_ard_3-2-1_52JDP_2018-12-11_final
2018-12-14 11:21:26	ga_s2bm_ard_3-2-1_52LDJ_2018-12-14_final
2018-12-14 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2018-12-14_final
2018-12-14 11:23:28	ga_s2bm_ard_3-2-1_52KBA_2018-12-14_final
2018-12-14 11:23:29	ga_s2bm_ard_3-2-1_51KZR_2018-12-14_final
2018-12-21 11:10:24	ga_s2bm_ard_3-2-1_52LGN_2018-12-21_final
2018-12-21 11:10:28	ga_s2bm_ard_3-2-1_52LFN_2018-12-21_final.stac-item
2018-12-24 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2018-12-24_final
2018-12-27 11:32:59	ga_s2bm_ard_3-2-1_51KYT_2018-12-27_final
2018-12-27 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2018-12-27_final
2018-12-27 11:34:14	ga_s2bm_ard_3-2-1_51KUP_2018-12-27_final
2019-01-03 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2019-01-03_final
2019-01-13 11:23:34	ga_s2bm_ard_3-2-1_52KBA_2019-01-13_final
2019-01-16 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2019-01-16_final
2019-01-16 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2019-01-16_final
2019-01-23 11:23:06	ga_s2bm_ard_3-2-1_52KBC_2019-01-23_final
2019-01-24 10:55:39	ga_s2bm_ard_3-2-1_53JKG_2019-01-24_final
2019-04-02 11:53:06	ga_s2bm_ard_3-2-1_50KQD_2019-04-02_final.stac-item
2019-05-19 11:47:29	ga_s2bm_ard_3-2-1_50HNG_2019-05-19_final.stac-item
2019-11-25 11:44:24	ga_s2bm_ard_3-2-1_51JUN_2019-11-25_final
2019-12-02 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2019-12-02_final
2019-12-06 11:11:45	ga_s2bm_ard_3-2-1_52KGG_2019-12-06_final
2019-12-12 11:33:18	ga_s2bm_ard_3-2-1_51KXS_2019-12-12_final
2019-12-15 11:44:07	ga_s2bm_ard_3-2-1_51KUP_2019-12-15_final
2019-12-15 11:44:15	ga_s2bm_ard_3-2-1_51KUP_2019-12-15_final
2019-12-22 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2019-12-22_final
2019-12-29 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2019-12-29_final
2020-01-15 11:10:37	ga_s2bm_ard_3-2-1_52LGM_2020-01-15_final
2020-03-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2020-03-13_final
2020-04-19 12:03:22	ga_s2bm_ard_3-2-1_50KLC_2020-04-19_final
2020-05-30 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-05-30_final
2020-07-02 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2020-07-02_final
2020-08-20 10:36:57	ga_s2bm_ard_3-2-1_53HMB_2020-08-20_final.stac-item
2020-08-22 11:10:50	ga_s2bm_ard_3-2-1_52LFM_2020-08-22_final.stac-item
2020-10-09 12:13:55	ga_s2bm_ard_3-2-1_49KHR_2020-10-09_final
2020-10-20 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-10-20_final
2020-10-27 11:32:50	ga_s2bm_ard_3-2-1_51KVV_2020-10-27_final
2020-10-30 11:43:14	ga_s2bm_ard_3-2-1_51KVT_2020-10-30_final
2020-10-30 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-10-30_final
2020-11-06 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2020-11-06_final
2020-11-06 11:36:59	ga_s2bm_ard_3-2-1_51HUC_2020-11-06_final
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2020-11-09_final
2020-11-09 11:44:32	ga_s2bm_ard_3-2-1_51JTN_2020-11-09_final
2020-12-16 11:32:54	ga_s2bm_ard_3-2-1_51KWU_2020-12-16_final
2020-12-16 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2020-12-16_final
2020-12-20 11:12:28	ga_s2bm_ard_3-2-1_52KEE_2020-12-20_final
2020-12-29 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2020-12-29_final
2021-02-08 11:11:36	ga_s2bm_ard_3-2-1_52LDJ_2021-02-08_final
2021-03-02 11:52:18	ga_s2bm_ard_3-2-1_50KQG_2021-03-02_final.stac-item
2021-07-30 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-07-30_final
2021-08-16 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-08-16_final.stac-item
2021-09-15 11:41:51	ga_s2bm_ard_3-2-1_51LWC_2021-09-15_final
2021-11-03 10:36:33	ga_s2bm_ard_3-2-1_53HMC_2021-11-03_final.stac-item
2021-11-11 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2021-11-11_final
2021-11-18 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-11-18_final
2021-11-18 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2021-11-18_final
2021-11-20 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2021-11-20_final
2021-11-24 11:43:40	ga_s2bm_ard_3-2-1_51KUR_2021-11-24_final
2021-11-25 11:11:44	ga_s2bm_ard_3-2-1_52LEH_2021-11-25_final
2022-01-03 11:42:12	ga_s2bm_ard_3-2-1_51KUB_2022-01-03_final.stac-item
2022-01-04 11:13:50	ga_s2bm_ard_3-2-1_52KBV_2022-01-04_final
2022-01-04 11:15:04	ga_s2bm_ard_3-2-1_52JDQ_2022-01-04_final
2022-01-10 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2022-01-10_final
2022-01-13 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2022-01-13_final
2022-01-20 11:37:12	ga_s2bm_ard_3-2-1_50HQG_2022-01-20_final.stac-item
2022-01-27 11:23:37	ga_s2bm_ard_3-2-1_51KXR_2022-01-27_final
2022-01-30 11:33:16	ga_s2bm_ard_3-2-1_51KUT_2022-01-30_final
2022-02-06 11:23:04	ga_s2bm_ard_3-2-1_51KYT_2022-02-06_final
2022-02-09 11:33:57	ga_s2bm_ard_3-2-1_51KUQ_2022-02-09_final
2022-05-26 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2022-05-26_final
2022-10-30 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-10-30_final.stac-item
2022-11-04 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2022-11-04_final.stac-item
2022-12-10 11:15:16	ga_s2bm_ard_3-2-1_52JBP_2022-12-10_final.stac-item
2022-12-10 11:16:33	ga_s2bm_ard_3-2-1_51HYD_2022-12-10_final.stac-item
2022-12-16 11:34:01	ga_s2bm_ard_3-2-1_51KUQ_2022-12-16_final.stac-item
2022-12-19 11:42:56	ga_s2bm_ard_3-2-1_51KVU_2022-12-19_final.stac-item
2022-12-23 11:23:42	ga_s2bm_ard_3-2-1_51KXR_2022-12-23_final.stac-item
2023-01-05 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2023-01-05_final.stac-item
2023-03-09 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-09_final.stac-item
2023-03-09 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-03-09_final.stac-item
2023-04-20 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2023-04-20_final.stac-item
2023-11-01 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2023-11-01_final.stac-item
2023-12-14 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2023-12-14_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