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
2017-07-04 10:22:06	ga_s2bm_ard_3-2-1_53KRP_2017-07-04_final
2017-07-07 10:32:11	ga_s2bm_ard_3-2-1_53JPN_2017-07-07_final
2017-08-27 11:40:44	ga_s2bm_ard_3-2-1_50JNR_2017-08-27_final
2017-09-06 10:03:22	ga_s2bm_ard_3-2-1_54HYG_2017-09-06_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JKP_2017-11-08_final
2017-11-14 10:26:54	ga_s2bm_ard_3-2-1_54KTF_2017-11-14_final
2017-12-07 10:42:54	ga_s2bm_ard_3-2-1_52JGM_2017-12-07_final
2017-12-24 10:26:56	ga_s2bm_ard_3-2-1_54KTG_2017-12-24_final
2018-02-05 10:37:20	ga_s2bm_ard_3-2-1_54KTG_2018-02-05_final
2018-02-08 10:47:18	ga_s2bm_ard_3-2-1_53LLC_2018-02-08_final
2018-03-03 10:57:06	ga_s2bm_ard_3-2-1_52LGL_2018-03-03_final
2018-03-07 10:37:17	ga_s2bm_ard_3-2-1_53KPP_2018-03-07_final
2018-08-15 10:13:38	ga_s2bm_ard_3-2-1_54HWH_2018-08-15_final
2018-08-28 12:04:53	ga_s2bm_ard_3-2-1_50JLN_2018-08-28_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JER_2018-08-30_final
2018-09-03 10:40:04	ga_s2bm_ard_3-2-1_53JPM_2018-09-03_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50HMJ_2018-10-01_final
2018-11-10 11:45:30	ga_s2bm_ard_3-2-1_50JQP_2018-11-10_final
2018-11-10 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2018-11-10_final
2018-12-26 10:24:36	ga_s2bm_ard_3-2-1_53JQL_2018-12-26_final
2018-12-30 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2018-12-30_final
2019-01-10 11:10:42	ga_s2bm_ard_3-2-1_52LGM_2019-01-10_final
2019-03-21 11:15:32	ga_s2bm_ard_3-2-1_52JCN_2019-03-21_final
2019-04-04 10:50:56	ga_s2bm_ard_3-2-1_53LNF_2019-04-04_final
2019-04-07 11:00:52	ga_s2bm_ard_3-2-1_53LMF_2019-04-07_final
2019-05-16 09:57:54	ga_s2bm_ard_3-2-1_54HWC_2019-05-16_final
2019-05-18 12:15:08	ga_s2bm_ard_3-2-1_49JFM_2019-05-18_final
2019-06-21 11:53:32	ga_s2bm_ard_3-2-1_50KNC_2019-06-21_final
2019-07-09 11:15:33	ga_s2bm_ard_3-2-1_51JYJ_2019-07-09_final
2019-07-21 11:57:18	ga_s2bm_ard_3-2-1_50HLH_2019-07-21_final
2019-07-24 12:03:46	ga_s2bm_ard_3-2-1_50KMB_2019-07-24_final
2019-08-06 10:34:00	ga_s2bm_ard_3-2-1_53KPP_2019-08-06_final
2019-08-13 12:03:51	ga_s2bm_ard_3-2-1_50KKB_2019-08-13_final
2019-08-26 10:34:19	ga_s2bm_ard_3-2-1_53JRM_2019-08-26_final
2019-09-06 10:07:24	ga_s2bm_ard_3-2-1_54HXD_2019-09-06_final
2019-09-24 11:02:40	ga_s2bm_ard_3-2-1_52KHD_2019-09-24_final
2019-12-01 10:26:31	ga_s2bm_ard_3-2-1_53HPC_2019-12-01_final
2019-12-09 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2019-12-09_final
2020-02-20 11:34:45	ga_s2bm_ard_3-2-1_50JRS_2020-02-20_final
2020-02-28 10:52:56	ga_s2bm_ard_3-2-1_53KKT_2020-02-28_final
2020-04-11 11:00:58	ga_s2bm_ard_3-2-1_52LHL_2020-04-11_final
2020-09-19 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2020-09-19_final
2020-09-23 10:17:13	ga_s2bm_ard_3-2-1_54HVE_2020-09-23_final
2020-09-30 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2020-09-30_final
2020-11-21 10:46:06	ga_s2bm_ard_3-2-1_53HME_2020-11-21_final
2020-11-23 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2020-11-23_final
2021-01-02 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2021-01-02_final
2021-01-25 09:58:05	ga_s2bm_ard_3-2-1_54GYA_2021-01-25_final
2021-02-06 10:32:17	ga_s2bm_ard_3-2-1_54KTE_2021-02-06_final
2021-03-07 11:01:01	ga_s2bm_ard_3-2-1_52LGL_2021-03-07_final
2021-03-17 11:01:19	ga_s2bm_ard_3-2-1_53LKD_2021-03-17_final
2021-03-23 11:26:57	ga_s2bm_ard_3-2-1_51HVC_2021-03-23_final
2021-03-27 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2021-03-27_final
2021-03-29 11:41:57	ga_s2bm_ard_3-2-1_51LVC_2021-03-29_final
2021-04-23 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2021-04-23_final
2021-05-25 09:56:58	ga_s2bm_ard_3-2-1_54HXF_2021-05-25_final
2021-05-25 09:57:15	ga_s2bm_ard_3-2-1_54HYE_2021-05-25_final
2021-06-03 12:03:24	ga_s2bm_ard_3-2-1_50KMC_2021-06-03_final
2021-06-03 12:04:58	ga_s2bm_ard_3-2-1_49JHM_2021-06-03_final
2021-06-14 09:57:46	ga_s2bm_ard_3-2-1_54HWC_2021-06-14_final
2021-06-18 11:15:42	ga_s2bm_ard_3-2-1_52JBN_2021-06-18_final
2021-06-27 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2021-06-27_final
2021-07-06 10:34:23	ga_s2bm_ard_3-2-1_53JPM_2021-07-06_final
2021-07-16 10:34:06	ga_s2bm_ard_3-2-1_53JQN_2021-07-16_final
2021-09-02 11:34:11	ga_s2bm_ard_3-2-1_51KVP_2021-09-02_final
2021-10-05 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2021-10-05_final
2021-11-01 11:36:53	ga_s2bm_ard_3-2-1_50HPJ_2021-11-01_final
2021-11-19 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2021-11-19_final
2021-12-15 11:13:38	ga_s2bm_ard_3-2-1_52KEV_2021-12-15_final
2022-01-03 10:07:37	ga_s2bm_ard_3-2-1_54HWC_2022-01-03_final
2022-01-14 11:11:15	ga_s2bm_ard_3-2-1_52LFK_2022-01-14_final
2022-01-28 10:55:58	ga_s2bm_ard_3-2-1_52JEL_2022-01-28_final
2022-03-05 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-03-05_final
2022-03-27 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2022-03-27_final
2022-05-19 10:26:07	ga_s2bm_ard_3-2-1_53HPE_2022-05-19_final
2022-07-01 10:33:40	ga_s2bm_ard_3-2-1_53KQQ_2022-07-01_final
2022-08-28 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2022-08-28_final
2022-10-10 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-10-10_final.stac-item
2022-10-11 11:14:33	ga_s2bm_ard_3-2-1_52JCS_2022-10-11_final.stac-item
2022-10-30 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-10-30_final.stac-item
2022-11-21 10:44:24	ga_s2bm_ard_3-2-1_53JMM_2022-11-21_final.stac-item
2022-12-21 10:44:02	ga_s2bm_ard_3-2-1_53JPN_2022-12-21_final.stac-item
2023-01-30 10:45:20	ga_s2bm_ard_3-2-1_53JMH_2023-01-30_final.stac-item
2023-03-08 10:32:53	ga_s2bm_ard_3-2-1_53KRT_2023-03-08_final.stac-item
2023-03-25 12:05:58	ga_s2bm_ard_3-2-1_50JKN_2023-03-25_final.stac-item
2023-04-15 09:57:23	ga_s2bm_ard_3-2-1_54HYD_2023-04-15_final.stac-item
2023-05-25 09:56:58	ga_s2bm_ard_3-2-1_54HYF_2023-05-25_final.stac-item
2023-06-20 11:53:47	ga_s2bm_ard_3-2-1_50KNB_2023-06-20_final.stac-item
2023-06-21 11:23:11	ga_s2bm_ard_3-2-1_51KZT_2023-06-21_final.stac-item
2023-07-14 11:31:53	ga_s2bm_ard_3-2-1_51LZC_2023-07-14_final.stac-item
2023-08-12 12:04:24	ga_s2bm_ard_3-2-1_49KGQ_2023-08-12_final.stac-item
2023-09-01 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-09-01_final.stac-item
2023-10-11 10:26:55	ga_s2bm_ard_3-2-1_53HNB_2023-10-11_final.stac-item
2023-10-14 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-10-14_final.stac-item
2023-11-09 10:53:24	ga_s2bm_ard_3-2-1_53KMR_2023-11-09_final.stac-item
2023-11-27 10:14:02	ga_s2bm_ard_3-2-1_54JYS_2023-11-27_final.stac-item
2024-01-04 11:14:38	ga_s2bm_ard_3-2-1_51JZM_2024-01-04_final.stac-item
2024-01-04 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2024-01-04_final.stac-item
2024-03-08 10:53:37	ga_s2bm_ard_3-2-1_52KHV_2024-03-08_final.stac-item
2024-04-24 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2024-04-24_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