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
2017-07-09 11:12:15	ga_s2bm_ard_3-2-1_52KFE_2017-07-09_final
2017-09-05 12:14:35	ga_s2bm_ard_3-2-1_49JGN_2017-09-05_final
2017-09-15 12:13:36	ga_s2bm_ard_3-2-1_49JGL_2017-09-15_final
2017-12-05 11:40:37	ga_s2bm_ard_3-2-1_51JUN_2017-12-05_final
2018-01-24 10:01:34	ga_s2bm_ard_3-2-1_54JYL_2018-01-24_final
2018-02-02 10:27:01	ga_s2bm_ard_3-2-1_53JQN_2018-02-02_final
2018-02-10 11:30:33	ga_s2bm_ard_3-2-1_51KVP_2018-02-10_final
2018-02-17 11:23:50	ga_s2bm_ard_3-2-1_52KBU_2018-02-17_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53LPC_2018-03-10_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54LZJ_2018-03-31_final
2018-05-21 09:50:52	ga_s2bm_ard_3-2-1_54HXE_2018-05-21_final
2018-06-29 10:17:05	ga_s2bm_ard_3-2-1_54JWS_2018-06-29_final
2018-07-04 11:12:50	ga_s2bm_ard_3-2-1_51KZR_2018-07-04_final
2018-07-12 10:35:45	ga_s2bm_ard_3-2-1_53HPC_2018-07-12_final
2018-11-04 09:46:05	ga_s2bm_ard_3-2-1_55GEQ_2018-11-04_final
2018-11-07 09:56:51	ga_s2bm_ard_3-2-1_54HYF_2018-11-07_final
2019-01-12 10:12:42	ga_s2bm_ard_3-2-1_54KXC_2019-01-12_final
2019-06-01 10:12:10	ga_s2bm_ard_3-2-1_54KXF_2019-06-01_final
2019-06-01 10:16:10	ga_s2bm_ard_3-2-1_54HUK_2019-06-01_final
2019-06-22 11:23:47	ga_s2bm_ard_3-2-1_51KYR_2019-06-22_final
2019-06-29 11:13:16	ga_s2bm_ard_3-2-1_52KCC_2019-06-29_final
2019-10-15 10:36:11	ga_s2bm_ard_3-2-1_53HME_2019-10-15_final
2019-11-01 10:20:50	ga_s2bm_ard_3-2-1_54LZK_2019-11-01_final
2019-11-04 10:35:31	ga_s2bm_ard_3-2-1_53JQG_2019-11-04_final
2019-11-15 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2019-11-15_final
2019-12-07 10:45:54	ga_s2bm_ard_3-2-1_52JGL_2019-12-07_final
2019-12-15 11:41:50	ga_s2bm_ard_3-2-1_51LWC_2019-12-15_final
2019-12-21 10:26:40	ga_s2bm_ard_3-2-1_54HTG_2019-12-21_final
2020-01-06 10:43:53	ga_s2bm_ard_3-2-1_53KLP_2020-01-06_final
2020-01-18 11:25:25	ga_s2bm_ard_3-2-1_51JVJ_2020-01-18_final
2020-01-20 10:20:55	ga_s2bm_ard_3-2-1_54LZJ_2020-01-20_final
2020-02-25 10:41:46	ga_s2bm_ard_3-2-1_53KQB_2020-02-25_final
2020-04-23 10:07:31	ga_s2bm_ard_3-2-1_54HXC_2020-04-23_final
2020-05-01 11:05:41	ga_s2bm_ard_3-2-1_52JEM_2020-05-01_final
2020-06-07 10:50:37	ga_s2bm_ard_3-2-1_53LPG_2020-06-07_final
2020-06-28 10:26:43	ga_s2bm_ard_3-2-1_54HUG_2020-06-28_final
2020-08-11 11:44:49	ga_s2bm_ard_3-2-1_51JTM_2020-08-11_final
2020-09-16 10:26:53	ga_s2bm_ard_3-2-1_54HUF_2020-09-16_final
2020-09-28 11:02:57	ga_s2bm_ard_3-2-1_53KKT_2020-09-28_final
2020-10-05 10:52:37	ga_s2bm_ard_3-2-1_53KNU_2020-10-05_final
2020-12-05 10:24:14	ga_s2bm_ard_3-2-1_54JUS_2020-12-05_final
2020-12-30 11:11:14	ga_s2bm_ard_3-2-1_52LFK_2020-12-30_final
2021-01-16 11:03:19	ga_s2bm_ard_3-2-1_52KEB_2021-01-16_final
2021-02-03 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2021-02-03_final
2021-03-12 10:14:05	ga_s2bm_ard_3-2-1_54JVT_2021-03-12_final
2021-04-11 10:16:01	ga_s2bm_ard_3-2-1_54HVJ_2021-04-11_final
2021-04-22 11:23:56	ga_s2bm_ard_3-2-1_51KWQ_2021-04-22_final
2021-05-29 11:14:24	ga_s2bm_ard_3-2-1_51JZN_2021-05-29_final
2021-06-03 10:25:06	ga_s2bm_ard_3-2-1_53JQJ_2021-06-03_final
2021-06-03 10:26:33	ga_s2bm_ard_3-2-1_53HQC_2021-06-03_final
2021-06-18 11:13:58	ga_s2bm_ard_3-2-1_52KEU_2021-06-18_final
2021-07-11 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2021-07-11_final
2021-07-23 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2021-07-23_final
2021-08-09 11:53:53	ga_s2bm_ard_3-2-1_50KMA_2021-08-09_final
2021-08-23 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-08-23_final
2021-09-26 11:13:38	ga_s2bm_ard_3-2-1_52KBA_2021-09-26_final
2021-10-16 11:13:31	ga_s2bm_ard_3-2-1_52KEA_2021-10-16_final
2021-11-26 10:42:57	ga_s2bm_ard_3-2-1_53KQS_2021-11-26_final
2021-12-30 10:21:36	ga_s2bm_ard_3-2-1_54KXG_2021-12-30_final
2022-01-27 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2022-01-27_final
2022-02-21 10:35:09	ga_s2bm_ard_3-2-1_53JMJ_2022-02-21_final
2022-03-08 11:21:28	ga_s2bm_ard_3-2-1_52LDJ_2022-03-08_final
2022-05-13 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2022-05-13_final
2022-05-20 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2022-05-20_final
2022-05-26 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2022-05-26_final
2022-06-10 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2022-06-10_final
2022-06-18 10:23:54	ga_s2bm_ard_3-2-1_53KRP_2022-06-18_final
2022-06-18 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2022-06-18_final
2022-06-27 10:55:18	ga_s2bm_ard_3-2-1_52JGP_2022-06-27_final
2022-07-07 10:55:54	ga_s2bm_ard_3-2-1_52JEM_2022-07-07_final
2022-07-16 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2022-07-16_final
2022-07-29 09:57:56	ga_s2bm_ard_3-2-1_54HYB_2022-07-29_final
2022-10-12 10:44:08	ga_s2bm_ard_3-2-1_53JMN_2022-10-12_final.stac-item
2022-10-29 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-10-29_final.stac-item
2022-11-05 10:22:11	ga_s2bm_ard_3-2-1_54KWE_2022-11-05_final.stac-item
2022-11-20 09:38:16	ga_s2bm_ard_3-2-1_55GEQ_2022-11-20_final.stac-item
2022-11-22 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2022-11-22_final.stac-item
2022-12-01 10:45:45	ga_s2bm_ard_3-2-1_52JGM_2022-12-01_final.stac-item
2022-12-17 11:06:33	ga_s2bm_ard_3-2-1_52HBJ_2022-12-17_nrt.stac-item
2022-12-27 11:04:06	ga_s2bm_ard_3-2-1_52KDU_2022-12-27_final.stac-item
2023-01-08 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-08_final.stac-item
2023-03-01 10:43:27	ga_s2bm_ard_3-2-1_53KMR_2023-03-01_final.stac-item
2023-03-10 11:10:47	ga_s2bm_ard_3-2-1_52LGM_2023-03-10_final.stac-item
2023-04-11 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2023-04-11_final.stac-item
2023-04-25 11:36:19	ga_s2bm_ard_3-2-1_51JTF_2023-04-25_final.stac-item
2023-04-27 10:31:10	ga_s2bm_ard_3-2-1_54LWJ_2023-04-27_final.stac-item
2023-05-24 12:04:26	ga_s2bm_ard_3-2-1_50KMU_2023-05-24_final.stac-item
2023-06-29 10:46:00	ga_s2bm_ard_3-2-1_53JLF_2023-06-29_final.stac-item
2023-09-26 11:13:57	ga_s2bm_ard_3-2-1_51KZQ_2023-09-26_final.stac-item
2023-10-06 11:14:23	ga_s2bm_ard_3-2-1_51JZN_2023-10-06_final.stac-item
2023-11-08 09:48:11	ga_s2bm_ard_3-2-1_55GBR_2023-11-08_final.stac-item
2023-11-08 11:25:12	ga_s2bm_ard_3-2-1_51JXK_2023-11-08_final.stac-item
2023-11-11 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-11-11_final.stac-item
2023-12-17 10:11:38	ga_s2bm_ard_3-2-1_54KZG_2023-12-17_final.stac-item
2023-12-17 10:11:56	ga_s2bm_ard_3-2-1_54KYF_2023-12-17_final.stac-item
2023-12-17 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2023-12-17_final.stac-item
2023-12-28 11:27:00	ga_s2bm_ard_3-2-1_51HVC_2023-12-28_final.stac-item
2024-02-20 11:00:49	ga_s2bm_ard_3-2-1_53LMF_2024-02-20_final.stac-item
2024-02-25 11:57:12	ga_s2bm_ard_3-2-1_50HKH_2024-02-25_nrt.stac-item
2024-02-26 11:21:23	ga_s2bm_ard_3-2-1_52LBK_2024-02-26_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