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
2017-08-26 12:13:17	ga_s2bm_ard_3-2-1_49JGN_2017-08-26_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51HUD_2017-09-30_final
2017-10-18 10:42:54	ga_s2bm_ard_3-2-1_53JNN_2017-10-18_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JFR_2018-01-12_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50JPT_2018-01-17_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_50JQN_2018-01-21_final
2018-02-05 10:42:59	ga_s2bm_ard_3-2-1_53JPM_2018-02-05_final
2018-03-29 11:17:27	ga_s2bm_ard_3-2-1_51KYU_2018-03-29_final
2018-05-12 11:01:55	ga_s2bm_ard_3-2-1_52JCL_2018-05-12_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51KVQ_2018-06-10_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KGQ_2018-07-22_final
2018-10-09 11:06:20	ga_s2bm_ard_3-2-1_51HYD_2018-10-09_final
2018-10-12 11:07:09	ga_s2bm_ard_3-2-1_52LEJ_2018-10-12_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_52KEB_2018-10-12_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53JNL_2018-10-13_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_53JLL_2018-11-05_final
2018-12-12 10:44:28	ga_s2bm_ard_3-2-1_53JNL_2018-12-12_final
2019-01-03 11:23:47	ga_s2bm_ard_3-2-1_51KZQ_2019-01-03_final
2019-01-06 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2019-01-06_final
2019-01-15 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2019-01-15_final
2019-01-27 11:04:07	ga_s2bm_ard_3-2-1_52KDU_2019-01-27_final
2019-03-10 11:46:13	ga_s2bm_ard_3-2-1_50JQL_2019-03-10_final
2019-03-17 11:32:38	ga_s2bm_ard_3-2-1_51KXV_2019-03-17_final
2019-04-13 11:23:52	ga_s2bm_ard_3-2-1_51KXR_2019-04-13_final
2019-04-29 11:42:06	ga_s2bm_ard_3-2-1_51LVC_2019-04-29_final
2019-04-29 11:46:20	ga_s2bm_ard_3-2-1_50JMM_2019-04-29_final
2019-05-10 11:10:51	ga_s2bm_ard_3-2-1_52LGM_2019-05-10_final
2019-05-26 11:34:55	ga_s2bm_ard_3-2-1_51JUM_2019-05-26_final
2019-06-08 11:45:19	ga_s2bm_ard_3-2-1_50JNR_2019-06-08_final
2019-06-09 11:16:01	ga_s2bm_ard_3-2-1_51JYG_2019-06-09_final
2019-09-14 11:03:56	ga_s2bm_ard_3-2-1_52KGU_2019-09-14_final
2019-12-09 11:23:44	ga_s2bm_ard_3-2-1_52KBV_2019-12-09_final
2019-12-11 12:03:17	ga_s2bm_ard_3-2-1_50KMC_2019-12-11_final
2020-01-24 11:41:52	ga_s2bm_ard_3-2-1_51LVC_2020-01-24_final
2020-03-02 11:04:26	ga_s2bm_ard_3-2-1_52JFS_2020-03-02_final
2020-04-30 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2020-04-30_final
2020-06-25 11:53:23	ga_s2bm_ard_3-2-1_50KPC_2020-06-25_final
2020-08-04 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2020-08-04_final
2020-08-13 10:45:08	ga_s2bm_ard_3-2-1_53JNJ_2020-08-13_final
2020-09-01 11:15:51	ga_s2bm_ard_3-2-1_52JCM_2020-09-01_final
2020-10-24 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2020-10-24_final
2020-11-06 11:36:04	ga_s2bm_ard_3-2-1_51JTG_2020-11-06_final
2020-11-20 11:15:04	ga_s2bm_ard_3-2-1_52JCQ_2020-11-20_final
2021-01-08 11:43:28	ga_s2bm_ard_3-2-1_51KUS_2021-01-08_final
2021-01-31 11:53:17	ga_s2bm_ard_3-2-1_50KQC_2021-01-31_final
2021-02-04 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2021-02-04_final
2021-04-16 11:04:57	ga_s2bm_ard_3-2-1_52JEQ_2021-04-16_final
2021-05-04 12:04:46	ga_s2bm_ard_3-2-1_50JMS_2021-05-04_final
2021-05-14 12:05:36	ga_s2bm_ard_3-2-1_50JLP_2021-05-14_final
2021-06-20 11:53:31	ga_s2bm_ard_3-2-1_50KMC_2021-06-20_final
2021-07-13 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2021-07-13_final
2021-08-11 10:54:38	ga_s2bm_ard_3-2-1_53JLL_2021-08-11_final
2021-08-14 11:04:36	ga_s2bm_ard_3-2-1_52JDS_2021-08-14_final
2021-11-18 11:25:40	ga_s2bm_ard_3-2-1_51JWH_2021-11-18_final
2021-11-21 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-11-21_final
2021-11-21 11:35:38	ga_s2bm_ard_3-2-1_51JVH_2021-11-21_final
2022-01-07 11:21:55	ga_s2bm_ard_3-2-1_51LYC_2022-01-07_final
2022-01-17 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2022-01-17_final
2022-02-03 11:12:41	ga_s2bm_ard_3-2-1_52KED_2022-02-03_final
2022-02-03 11:16:00	ga_s2bm_ard_3-2-1_52JBL_2022-02-03_final
2022-02-05 11:53:44	ga_s2bm_ard_3-2-1_50KPA_2022-02-05_final
2022-02-09 11:32:14	ga_s2bm_ard_3-2-1_51KVB_2022-02-09_final
2022-02-15 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2022-02-15_final
2022-03-01 11:33:27	ga_s2bm_ard_3-2-1_51KVS_2022-03-01_final
2022-03-06 10:45:52	ga_s2bm_ard_3-2-1_53JLF_2022-03-06_final
2022-04-18 10:54:51	ga_s2bm_ard_3-2-1_53JKK_2022-04-18_final
2022-05-04 11:13:46	ga_s2bm_ard_3-2-1_52KCV_2022-05-04_final
2022-07-03 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2022-07-03_final
2022-10-01 11:16:11	ga_s2bm_ard_3-2-1_51JXF_2022-10-01_final.stac-item
2022-10-19 10:35:19	ga_s2bm_ard_3-2-1_53JPH_2022-10-19_final.stac-item
2022-10-29 10:36:57	ga_s2bm_ard_3-2-1_53HPA_2022-10-29_final.stac-item
2022-11-03 11:22:39	ga_s2bm_ard_3-2-1_51KYV_2022-11-03_final.stac-item
2022-12-10 11:16:23	ga_s2bm_ard_3-2-1_51HXE_2022-12-10_final.stac-item
2022-12-20 11:12:13	ga_s2bm_ard_3-2-1_52KFF_2022-12-20_final.stac-item
2022-12-30 11:11:39	ga_s2bm_ard_3-2-1_52LGH_2022-12-30_final.stac-item
2023-01-22 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2023-01-22_final.stac-item
2023-02-04 11:34:22	ga_s2bm_ard_3-2-1_51JWN_2023-02-04_final.stac-item
2023-02-23 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-02-23_final.stac-item
2023-02-28 11:13:26	ga_s2bm_ard_3-2-1_52KBB_2023-02-28_final.stac-item
2023-03-08 10:36:25	ga_s2bm_ard_3-2-1_53HND_2023-03-08_final.stac-item
2023-03-28 10:35:33	ga_s2bm_ard_3-2-1_53JQG_2023-03-28_final.stac-item
2023-04-16 11:00:50	ga_s2bm_ard_3-2-1_52LGM_2023-04-16_final.stac-item
2023-06-12 10:53:51	ga_s2bm_ard_3-2-1_52KGV_2023-06-12_final.stac-item
2023-06-26 10:35:24	ga_s2bm_ard_3-2-1_53JPH_2023-06-26_final.stac-item
2023-06-28 11:12:11	ga_s2bm_ard_3-2-1_52KDG_2023-06-28_final.stac-item
2023-06-28 11:12:40	ga_s2bm_ard_3-2-1_52KDE_2023-06-28_final.stac-item
2023-07-02 10:54:22	ga_s2bm_ard_3-2-1_52JHT_2023-07-02_final.stac-item
2023-07-21 11:26:42	ga_s2bm_ard_3-2-1_51HXD_2023-07-21_final.stac-item
2023-08-14 11:06:29	ga_s2bm_ard_3-2-1_52HBK_2023-08-14_final.stac-item
2023-08-17 11:15:38	ga_s2bm_ard_3-2-1_52JCN_2023-08-17_final.stac-item
2023-08-25 10:34:17	ga_s2bm_ard_3-2-1_53JNN_2023-08-25_final.stac-item
2023-09-06 11:14:33	ga_s2bm_ard_3-2-1_51JYN_2023-09-06_final.stac-item
2023-11-04 11:45:17	ga_s2bm_ard_3-2-1_51JTK_2023-11-04_final.stac-item
2023-12-08 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2023-12-08_final.stac-item
2023-12-20 10:26:54	ga_s2bm_ard_3-2-1_53HNB_2023-12-20_final.stac-item
2024-01-16 11:57:07	ga_s2bm_ard_3-2-1_50HLH_2024-01-16_final.stac-item
2024-01-31 11:06:30	ga_s2bm_ard_3-2-1_52HBJ_2024-01-31_nrt.stac-item
2024-02-08 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2024-02-08_final.stac-item
2024-02-20 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2024-02-20_final.stac-item
2024-03-03 11:42:53	ga_s2bm_ard_3-2-1_51KVU_2024-03-03_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