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
2017-07-26 11:02:11	ga_s2bm_ard_3-2-1_52KGV_2017-07-26_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50HPK_2017-08-27_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50KNC_2017-10-19_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_53KPP_2017-11-14_final
2017-12-05 11:46:02	ga_s2bm_ard_3-2-1_50HMJ_2017-12-05_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KXQ_2017-12-22_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_53JQJ_2017-12-24_final
2017-12-25 11:40:37	ga_s2bm_ard_3-2-1_51KVA_2017-12-25_final
2017-12-26 11:11:50	ga_s2bm_ard_3-2-1_52JBS_2017-12-26_final
2018-01-03 10:32:23	ga_s2bm_ard_3-2-1_53JQJ_2018-01-03_final
2018-01-04 11:37:43	ga_s2bm_ard_3-2-1_51KVB_2018-01-04_final
2018-01-26 10:37:20	ga_s2bm_ard_3-2-1_52JGM_2018-01-26_final
2018-02-14 11:07:05	ga_s2bm_ard_3-2-1_52JBT_2018-02-14_final
2018-03-13 10:57:07	ga_s2bm_ard_3-2-1_52LGK_2018-03-13_final
2018-04-23 10:27:06	ga_s2bm_ard_3-2-1_53JNF_2018-04-23_final
2018-05-23 10:32:01	ga_s2bm_ard_3-2-1_53KRQ_2018-05-23_final
2018-07-09 10:22:32	ga_s2bm_ard_3-2-1_53HPC_2018-07-09_final
2018-09-02 11:09:38	ga_s2bm_ard_3-2-1_52KDA_2018-09-02_final
2018-09-11 10:01:54	ga_s2bm_ard_3-2-1_54HXD_2018-09-11_final
2018-11-04 11:25:08	ga_s2bm_ard_3-2-1_51HXE_2018-11-04_final
2018-11-29 10:33:55	ga_s2bm_ard_3-2-1_53JRN_2018-11-29_final
2018-12-29 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2018-12-29_final
2019-05-06 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-05-06_final
2019-05-10 11:10:41	ga_s2bm_ard_3-2-1_52LFN_2019-05-10_final.stac-item
2019-05-25 10:26:26	ga_s2bm_ard_3-2-1_53HQD_2019-05-25_final
2019-06-08 11:42:35	ga_s2bm_ard_3-2-1_51KVA_2019-06-08_final
2019-06-22 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-06-22_final
2019-08-18 11:13:13	ga_s2bm_ard_3-2-1_52KCC_2019-08-18_final
2019-09-26 11:42:22	ga_s2bm_ard_3-2-1_51KVA_2019-09-26_final
2019-10-03 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2019-10-03_final
2019-10-13 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2019-10-13_final
2019-10-27 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2019-10-27_final
2019-12-24 10:33:30	ga_s2bm_ard_3-2-1_53KQQ_2019-12-24_final
2019-12-31 12:03:39	ga_s2bm_ard_3-2-1_50KKB_2019-12-31_final
2020-01-26 10:42:58	ga_s2bm_ard_3-2-1_53KPS_2020-01-26_final
2020-03-27 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2020-03-27_final
2020-04-13 10:07:08	ga_s2bm_ard_3-2-1_54HWE_2020-04-13_final
2020-04-15 10:43:33	ga_s2bm_ard_3-2-1_53KNQ_2020-04-15_final
2020-06-01 10:35:03	ga_s2bm_ard_3-2-1_53JQJ_2020-06-01_final
2020-06-13 11:15:21	ga_s2bm_ard_3-2-1_52JCP_2020-06-13_final
2020-06-20 11:03:51	ga_s2bm_ard_3-2-1_52KEV_2020-06-20_final
2020-07-12 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2020-07-12_final
2020-07-18 12:04:29	ga_s2bm_ard_3-2-1_50KKU_2020-07-18_final
2020-08-04 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-08-04_final
2020-08-27 10:26:36	ga_s2bm_ard_3-2-1_53HQC_2020-08-27_final
2020-12-01 10:43:51	ga_s2bm_ard_3-2-1_53KNP_2020-12-01_final
2021-01-23 10:51:25	ga_s2bm_ard_3-2-1_53LMD_2021-01-23_final
2021-01-24 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2021-01-24_final
2021-02-05 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2021-02-05_final
2021-02-18 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2021-02-18_final
2021-02-25 11:00:42	ga_s2bm_ard_3-2-1_53LKG_2021-02-25_final
2021-02-27 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2021-02-27_final
2021-05-18 11:43:24	ga_s2bm_ard_3-2-1_51KVS_2021-05-18_final
2021-05-28 10:07:22	ga_s2bm_ard_3-2-1_54HXD_2021-05-28_final
2021-05-29 11:13:23	ga_s2bm_ard_3-2-1_52KCB_2021-05-29_final
2021-07-31 11:24:20	ga_s2bm_ard_3-2-1_51JZN_2021-07-31_final
2021-09-19 11:22:57	ga_s2bm_ard_3-2-1_51KXU_2021-09-19_final
2021-10-14 10:34:34	ga_s2bm_ard_3-2-1_53JQL_2021-10-14_final
2021-12-19 10:50:18	ga_s2bm_ard_3-2-1_53LNH_2021-12-19_final.stac-item
2021-12-25 11:11:29	ga_s2bm_ard_3-2-1_52LDJ_2021-12-25_final
2022-03-10 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2022-03-10_final
2022-03-12 11:01:05	ga_s2bm_ard_3-2-1_52LGL_2022-03-12_final
2022-03-15 11:11:14	ga_s2bm_ard_3-2-1_52LFK_2022-03-15_final
2022-05-02 10:32:13	ga_s2bm_ard_3-2-1_53KRV_2022-05-02_final
2022-05-29 12:04:57	ga_s2bm_ard_3-2-1_50JKS_2022-05-29_final
2022-06-15 11:55:31	ga_s2bm_ard_3-2-1_50JLQ_2022-06-15_final
2022-07-29 11:33:43	ga_s2bm_ard_3-2-1_51KXR_2022-07-29_final
2022-08-28 11:32:29	ga_s2bm_ard_3-2-1_51KWA_2022-08-28_final
2022-10-14 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2022-10-14_final.stac-item
2022-11-30 11:11:32	ga_s2bm_ard_3-2-1_52LEJ_2022-11-30_final.stac-item
2022-12-10 11:16:55	ga_s2bm_ard_3-2-1_51HWC_2022-12-10_final.stac-item
2022-12-16 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-12-16_final.stac-item
2023-01-06 11:01:37	ga_s2bm_ard_3-2-1_52LFJ_2023-01-06_final.stac-item
2023-01-18 11:43:55	ga_s2bm_ard_3-2-1_51KUQ_2023-01-18_final.stac-item
2023-01-20 10:44:22	ga_s2bm_ard_3-2-1_53JMM_2023-01-20_final.stac-item
2023-02-02 10:50:31	ga_s2bm_ard_3-2-1_53LPG_2023-02-02_final.stac-item
2023-03-06 09:57:43	ga_s2bm_ard_3-2-1_54HXC_2023-03-06_final.stac-item
2023-03-20 11:11:19	ga_s2bm_ard_3-2-1_52LFK_2023-03-20_final.stac-item
2023-04-01 10:16:46	ga_s2bm_ard_3-2-1_54HVG_2023-04-01_final.stac-item
2023-07-07 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-07-07_final.stac-item
2023-07-17 11:47:15	ga_s2bm_ard_3-2-1_50HMH_2023-07-17_final.stac-item
2023-07-31 11:23:19	ga_s2bm_ard_3-2-1_51KXT_2023-07-31_final.stac-item
2023-08-22 10:26:35	ga_s2bm_ard_3-2-1_54HTH_2023-08-22_final.stac-item
2023-09-23 11:06:21	ga_s2bm_ard_3-2-1_52HDK_2023-09-23_final.stac-item
2023-10-09 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2023-10-09_final.stac-item
2023-11-15 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2023-11-15_final.stac-item
2023-11-24 10:06:55	ga_s2bm_ard_3-2-1_54HVF_2023-11-24_final.stac-item
2023-12-08 11:23:13	ga_s2bm_ard_3-2-1_52KCB_2023-12-08_final.stac-item
2024-01-10 11:34:16	ga_s2bm_ard_3-2-1_51KUP_2024-01-10_final.stac-item
2024-02-01 10:33:36	ga_s2bm_ard_3-2-1_53KPQ_2024-02-01_final.stac-item
2024-02-03 11:10:44	ga_s2bm_ard_3-2-1_52LFM_2024-02-03_final.stac-item
2024-02-24 10:42:39	ga_s2bm_ard_3-2-1_53KNU_2024-02-24_final.stac-item
2024-03-13 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2024-03-13_final.stac-item
2024-03-21 11:00:48	ga_s2bm_ard_3-2-1_52LGM_2024-03-21_final.stac-item
2024-04-02 11:40:56	ga_s2bm_ard_3-2-1_51LWG_2024-04-02_final.stac-item
2024-04-04 10:42:19	ga_s2bm_ard_3-2-1_53KPV_2024-04-04_final.stac-item
2024-04-16 11:21:40	ga_s2bm_ard_3-2-1_52LBJ_2024-04-16_final.stac-item
2024-04-16 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2024-04-16_final.stac-item
2024-04-17 10:55:14	ga_s2bm_ard_3-2-1_52JGP_2024-04-17_final.stac-item
2024-05-05 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2024-05-05_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