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
2017-09-08 10:43:00	ga_s2bm_ard_3-2-1_53JNM_2017-09-08_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KXR_2017-12-02_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_51KZS_2017-12-09_final
2017-12-09 11:16:47	ga_s2bm_ard_3-2-1_52KBB_2017-12-09_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53HMC_2017-12-24_final.stac-item
2018-03-04 10:35:27	ga_s2bm_ard_3-2-1_53HMC_2018-03-04_final.stac-item
2018-03-24 10:27:02	ga_s2bm_ard_3-2-1_53JPM_2018-03-24_final
2018-03-25 11:39:10	ga_s2bm_ard_3-2-1_50KRD_2018-03-25_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_52LCK_2018-03-29_final.stac-item
2018-04-05 11:07:09	ga_s2bm_ard_3-2-1_52LEL_2018-04-05_final.stac-item
2018-04-11 11:36:20	ga_s2bm_ard_3-2-1_50HNG_2018-04-11_final.stac-item
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_50KRD_2018-04-14_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_50HPG_2018-04-21_final.stac-item
2018-06-22 10:27:06	ga_s2bm_ard_3-2-1_53JPN_2018-06-22_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51LVC_2018-08-12_final
2018-11-07 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2018-11-07_final
2018-11-07 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2018-11-07_final
2018-11-24 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2018-11-24_final
2018-11-24 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2018-11-24_final
2018-11-24 11:24:01	ga_s2bm_ard_3-2-1_52KBU_2018-11-24_final
2018-11-27 11:33:59	ga_s2bm_ard_3-2-1_51KUQ_2018-11-27_final
2018-12-04 11:23:45	ga_s2bm_ard_3-2-1_52KBV_2018-12-04_final
2018-12-07 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2018-12-07_final
2018-12-07 11:33:39	ga_s2bm_ard_3-2-1_51KVR_2018-12-07_final
2018-12-10 11:44:21	ga_s2bm_ard_3-2-1_51JUN_2018-12-10_final
2018-12-11 11:13:38	ga_s2bm_ard_3-2-1_52KEV_2018-12-11_final
2018-12-14 11:23:28	ga_s2bm_ard_3-2-1_52KBA_2018-12-14_final
2018-12-17 11:32:52	ga_s2bm_ard_3-2-1_51KWU_2018-12-17_final
2018-12-21 11:10:24	ga_s2bm_ard_3-2-1_52LGN_2018-12-21_final
2018-12-21 11:13:29	ga_s2bm_ard_3-2-1_52KDA_2018-12-21_final
2018-12-21 11:15:13	ga_s2bm_ard_3-2-1_52JCP_2018-12-21_final
2018-12-21 11:15:28	ga_s2bm_ard_3-2-1_52JCN_2018-12-21_final
2018-12-24 11:24:00	ga_s2bm_ard_3-2-1_51KZP_2018-12-24_final
2018-12-30 11:42:57	ga_s2bm_ard_3-2-1_51KUU_2018-12-30_final
2019-01-03 11:23:37	ga_s2bm_ard_3-2-1_51KYR_2019-01-03_final
2019-01-04 10:55:38	ga_s2bm_ard_3-2-1_53JKG_2019-01-04_final
2019-01-06 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2019-01-06_final
2019-01-06 11:37:15	ga_s2bm_ard_3-2-1_50HQG_2019-01-06_final.stac-item
2019-01-13 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2019-01-13_final
2019-01-16 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-01-16_final
2019-01-19 11:43:00	ga_s2bm_ard_3-2-1_51KUU_2019-01-19_final
2019-01-19 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2019-01-19_final
2019-01-19 11:43:35	ga_s2bm_ard_3-2-1_51KVR_2019-01-19_final
2019-01-23 11:23:35	ga_s2bm_ard_3-2-1_52KBA_2019-01-23_final
2019-01-26 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2019-01-26_final
2019-04-18 10:34:42	ga_s2bm_ard_3-2-1_53JPL_2019-04-18_final
2019-05-28 10:34:22	ga_s2bm_ard_3-2-1_53JNN_2019-05-28_final
2019-05-29 11:47:36	ga_s2bm_ard_3-2-1_50HLG_2019-05-29_final.stac-item
2019-11-12 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2019-11-12_final
2019-11-12 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2019-11-12_final
2019-11-15 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2019-11-15_final
2019-11-22 11:32:52	ga_s2bm_ard_3-2-1_51KXU_2019-11-22_final
2019-12-12 11:33:51	ga_s2bm_ard_3-2-1_51KWQ_2019-12-12_final
2019-12-15 11:44:25	ga_s2bm_ard_3-2-1_50JRT_2019-12-15_final
2019-12-22 11:33:04	ga_s2bm_ard_3-2-1_51KXT_2019-12-22_final
2020-01-01 11:33:25	ga_s2bm_ard_3-2-1_51KVS_2020-01-01_final
2020-01-15 11:10:27	ga_s2bm_ard_3-2-1_52LFN_2020-01-15_final.stac-item
2020-01-23 10:36:32	ga_s2bm_ard_3-2-1_53HMC_2020-01-23_final.stac-item
2020-04-03 11:40:54	ga_s2bm_ard_3-2-1_51LWG_2020-04-03_final.stac-item
2020-10-26 12:04:00	ga_s2bm_ard_3-2-1_50KMV_2020-10-26_final
2020-11-03 11:21:24	ga_s2bm_ard_3-2-1_52LCK_2020-11-03_final.stac-item
2020-11-06 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2020-11-06_final
2020-12-13 11:23:39	ga_s2bm_ard_3-2-1_51KXR_2020-12-13_final
2020-12-13 11:23:59	ga_s2bm_ard_3-2-1_51KWQ_2020-12-13_final
2020-12-16 11:33:30	ga_s2bm_ard_3-2-1_51KUS_2020-12-16_final
2020-12-16 11:33:41	ga_s2bm_ard_3-2-1_51KVR_2020-12-16_final
2020-12-29 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2020-12-29_final
2021-01-05 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2021-01-05_final
2021-08-15 10:34:07	ga_s2bm_ard_3-2-1_53JPN_2021-08-15_final
2021-09-14 10:34:18	ga_s2bm_ard_3-2-1_53JPM_2021-09-14_final
2021-10-15 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2021-10-15_final
2021-11-11 11:33:52	ga_s2bm_ard_3-2-1_51KXQ_2021-11-11_final
2021-11-14 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-11-14_final
2021-12-01 11:33:37	ga_s2bm_ard_3-2-1_51KWR_2021-12-01_final
2021-12-01 11:33:48	ga_s2bm_ard_3-2-1_51KXQ_2021-12-01_final
2021-12-07 11:57:18	ga_s2bm_ard_3-2-1_50HLG_2021-12-07_final.stac-item
2021-12-11 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2021-12-11_final
2021-12-31 11:33:52	ga_s2bm_ard_3-2-1_51KWQ_2021-12-31_final
2021-12-31 11:34:13	ga_s2bm_ard_3-2-1_51KUP_2021-12-31_final
2022-01-02 10:36:35	ga_s2bm_ard_3-2-1_53HMC_2022-01-02_final.stac-item
2022-02-12 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2022-02-12_final
2022-02-22 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-02-22_final
2022-05-05 10:43:58	ga_s2bm_ard_3-2-1_53JPN_2022-05-05_final
2022-05-14 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2022-05-14_final.stac-item
2022-08-03 10:46:29	ga_s2bm_ard_3-2-1_53HLD_2022-08-03_final
2022-11-16 11:31:30	ga_s2bm_ard_3-2-1_51LYE_2022-11-16_final.stac-item
2022-11-20 11:10:32	ga_s2bm_ard_3-2-1_52LFN_2022-11-20_final.stac-item
2022-12-20 11:13:53	ga_s2bm_ard_3-2-1_52KBV_2022-12-20_final.stac-item
2022-12-21 10:45:59	ga_s2bm_ard_3-2-1_53JMF_2022-12-21_final.stac-item
2022-12-23 11:24:01	ga_s2bm_ard_3-2-1_51KWQ_2022-12-23_final.stac-item
2022-12-28 10:34:10	ga_s2bm_ard_3-2-1_53JPN_2022-12-28_final.stac-item
2023-01-11 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-01-11_final.stac-item
2023-03-09 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2023-03-09_final.stac-item
2023-03-09 11:43:33	ga_s2bm_ard_3-2-1_51KUS_2023-03-09_final.stac-item
2023-03-09 11:43:36	ga_s2bm_ard_3-2-1_51KTS_2023-03-09_final.stac-item
2023-03-26 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-26_final.stac-item
2023-04-28 11:41:20	ga_s2bm_ard_3-2-1_51LUF_2023-04-28_final.stac-item
2023-07-26 10:34:13	ga_s2bm_ard_3-2-1_53JPN_2023-07-26_final.stac-item
2024-02-21 12:13:40	ga_s2bm_ard_3-2-1_49KHS_2024-02-21_final.stac-item
2024-03-24 11:16:08	ga_s2bm_ard_3-2-1_51JYF_2024-03-24_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