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
2017-08-13 12:02:47	ga_s2bm_ard_3-2-1_49JGM_2017-08-13_final
2017-09-03 11:36:30	ga_s2bm_ard_3-2-1_50HPJ_2017-09-03_final
2017-09-19 10:13:05	ga_s2bm_ard_3-2-1_54HUF_2017-09-19_final
2017-11-10 10:47:11	ga_s2bm_ard_3-2-1_53LMD_2017-11-10_final
2017-11-11 10:23:14	ga_s2bm_ard_3-2-1_53JPF_2017-11-11_final
2018-01-12 11:02:50	ga_s2bm_ard_3-2-1_52JDM_2018-01-12_final
2018-02-17 11:19:38	ga_s2bm_ard_3-2-1_51KXS_2018-02-17_final
2018-02-19 12:02:42	ga_s2bm_ard_3-2-1_49JGJ_2018-02-19_final
2018-03-14 10:35:39	ga_s2bm_ard_3-2-1_53HLD_2018-03-14_final
2018-04-02 10:57:12	ga_s2bm_ard_3-2-1_52LHM_2018-04-02_final
2018-05-07 10:07:03	ga_s2bm_ard_3-2-1_54HUF_2018-05-07_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50HMJ_2018-06-26_final
2018-08-05 10:13:40	ga_s2bm_ard_3-2-1_54HTG_2018-08-05_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_50JRT_2018-09-28_final
2018-10-03 10:46:09	ga_s2bm_ard_3-2-1_53HMD_2018-10-03_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52KDV_2018-10-22_final
2018-12-07 11:37:01	ga_s2bm_ard_3-2-1_50HPH_2018-12-07_final
2018-12-15 10:55:50	ga_s2bm_ard_3-2-1_52JGL_2018-12-15_final
2019-03-14 11:26:59	ga_s2bm_ard_3-2-1_51HUC_2019-03-14_final
2019-04-18 10:36:41	ga_s2bm_ard_3-2-1_53HNC_2019-04-18_final
2019-04-27 11:02:32	ga_s2bm_ard_3-2-1_53KKV_2019-04-27_final
2019-04-30 11:12:46	ga_s2bm_ard_3-2-1_52KCE_2019-04-30_final
2019-08-02 10:54:52	ga_s2bm_ard_3-2-1_52JGR_2019-08-02_final
2019-09-04 11:05:58	ga_s2bm_ard_3-2-1_52JCM_2019-09-04_final
2019-09-10 11:23:15	ga_s2bm_ard_3-2-1_51KXT_2019-09-10_final
2019-09-19 10:17:25	ga_s2bm_ard_3-2-1_54HVD_2019-09-19_final
2019-10-13 11:33:54	ga_s2bm_ard_3-2-1_51KXQ_2019-10-13_final
2019-12-15 11:43:19	ga_s2bm_ard_3-2-1_51KVS_2019-12-15_final
2020-01-05 11:16:32	ga_s2bm_ard_3-2-1_51HYD_2020-01-05_final
2020-02-02 10:33:28	ga_s2bm_ard_3-2-1_53KQQ_2020-02-02_final
2020-03-01 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2020-03-01_final
2020-04-06 10:16:10	ga_s2bm_ard_3-2-1_54HVJ_2020-04-06_final
2020-04-11 11:01:34	ga_s2bm_ard_3-2-1_53LLC_2020-04-11_final
2020-05-21 11:01:57	ga_s2bm_ard_3-2-1_52KHG_2020-05-21_final
2020-06-13 11:13:19	ga_s2bm_ard_3-2-1_52KEB_2020-06-13_final
2020-08-11 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2020-08-11_final
2020-09-22 10:45:49	ga_s2bm_ard_3-2-1_52JGM_2020-09-22_final
2020-09-27 11:36:26	ga_s2bm_ard_3-2-1_51HVE_2020-09-27_final
2020-10-12 10:45:51	ga_s2bm_ard_3-2-1_52JGM_2020-10-12_final
2020-10-30 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2020-10-30_final
2020-11-12 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2020-11-12_final
2020-11-20 11:12:29	ga_s2bm_ard_3-2-1_52KFE_2020-11-20_final
2020-11-30 11:10:24	ga_s2bm_ard_3-2-1_52LHN_2020-11-30_final
2020-12-17 11:01:24	ga_s2bm_ard_3-2-1_52LHJ_2020-12-17_final
2021-01-02 11:25:23	ga_s2bm_ard_3-2-1_51JXJ_2021-01-02_final
2021-01-24 10:26:30	ga_s2bm_ard_3-2-1_54HTH_2021-01-24_final
2021-02-12 10:53:31	ga_s2bm_ard_3-2-1_52KGA_2021-02-12_final
2021-02-15 11:01:00	ga_s2bm_ard_3-2-1_52LGL_2021-02-15_final
2021-03-26 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2021-03-26_final
2021-05-05 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2021-05-05_final
2021-05-29 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2021-05-29_final
2021-06-01 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2021-06-01_final
2021-06-21 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-06-21_final
2021-07-13 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2021-07-13_final
2021-07-15 11:06:39	ga_s2bm_ard_3-2-1_51HYD_2021-07-15_final
2021-09-20 10:53:25	ga_s2bm_ard_3-2-1_52KHA_2021-09-20_final
2021-11-06 10:45:58	ga_s2bm_ard_3-2-1_53JKF_2021-11-06_final
2021-11-10 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2021-11-10_final
2021-11-21 11:35:05	ga_s2bm_ard_3-2-1_51JWK_2021-11-21_final
2021-12-01 11:33:19	ga_s2bm_ard_3-2-1_51KXS_2021-12-01_final
2022-01-21 11:04:19	ga_s2bm_ard_3-2-1_52JGS_2022-01-21_final
2022-01-22 10:36:18	ga_s2bm_ard_3-2-1_53HPD_2022-01-22_final
2022-01-30 11:31:36	ga_s2bm_ard_3-2-1_51LXD_2022-01-30_final
2022-01-30 11:32:34	ga_s2bm_ard_3-2-1_51KXV_2022-01-30_final
2022-02-06 11:21:59	ga_s2bm_ard_3-2-1_52KCG_2022-02-06_final
2022-02-19 11:32:44	ga_s2bm_ard_3-2-1_51KYU_2022-02-19_final
2022-02-19 11:33:03	ga_s2bm_ard_3-2-1_51KXT_2022-02-19_final
2022-03-07 10:16:46	ga_s2bm_ard_3-2-1_54HTG_2022-03-07_final
2022-04-25 10:42:49	ga_s2bm_ard_3-2-1_53KPT_2022-04-25_final
2022-05-01 11:03:50	ga_s2bm_ard_3-2-1_52KGU_2022-05-01_final
2022-05-23 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2022-05-23_final
2022-05-23 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-05-23_final
2022-06-01 10:36:24	ga_s2bm_ard_3-2-1_53HMD_2022-06-01_final
2022-06-06 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2022-06-06_final
2022-07-01 10:33:50	ga_s2bm_ard_3-2-1_53KRP_2022-07-01_final
2022-08-12 11:16:11	ga_s2bm_ard_3-2-1_51JYF_2022-08-12_final
2022-09-03 10:16:50	ga_s2bm_ard_3-2-1_54HTG_2022-09-03_final.stac-item
2022-09-19 12:15:01	ga_s2bm_ard_3-2-1_49JFM_2022-09-19_final.stac-item
2022-11-23 11:21:54	ga_s2bm_ard_3-2-1_51LZC_2022-11-23_final.stac-item
2023-01-10 10:43:15	ga_s2bm_ard_3-2-1_53KNR_2023-01-10_final.stac-item
2023-01-16 11:03:06	ga_s2bm_ard_3-2-1_52KHB_2023-01-16_final.stac-item
2023-03-27 11:04:27	ga_s2bm_ard_3-2-1_52JGS_2023-03-27_final.stac-item
2023-04-12 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2023-04-12_final.stac-item
2023-05-14 10:26:44	ga_s2bm_ard_3-2-1_53HNC_2023-05-14_final.stac-item
2023-06-01 11:26:36	ga_s2bm_ard_3-2-1_51HUE_2023-06-01_final.stac-item
2023-06-18 11:14:14	ga_s2bm_ard_3-2-1_52KBU_2023-06-18_final.stac-item
2023-06-27 11:42:03	ga_s2bm_ard_3-2-1_51LVC_2023-06-27_final.stac-item
2023-07-03 12:04:48	ga_s2bm_ard_3-2-1_49JHN_2023-07-03_final.stac-item
2023-09-01 12:06:00	ga_s2bm_ard_3-2-1_50JKN_2023-09-01_final.stac-item
2023-11-05 11:16:47	ga_s2bm_ard_3-2-1_51HWD_2023-11-05_final.stac-item
2023-12-11 11:33:24	ga_s2bm_ard_3-2-1_51KWS_2023-12-11_final.stac-item
2023-12-13 10:33:49	ga_s2bm_ard_3-2-1_53JRN_2023-12-13_final.stac-item
2024-01-02 12:15:11	ga_s2bm_ard_3-2-1_49JGL_2024-01-02_final.stac-item
2024-02-07 10:52:32	ga_s2bm_ard_3-2-1_52KHE_2024-02-07_final.stac-item
2024-03-01 11:03:47	ga_s2bm_ard_3-2-1_52KEV_2024-03-01_final.stac-item
2024-03-04 11:10:39	ga_s2bm_ard_3-2-1_52LGM_2024-03-04_final.stac-item
2024-03-04 11:14:20	ga_s2bm_ard_3-2-1_51JZN_2024-03-04_final.stac-item
2024-03-15 10:46:07	ga_s2bm_ard_3-2-1_53HLE_2024-03-15_final.stac-item
2024-04-01 10:33:59	ga_s2bm_ard_3-2-1_53JRN_2024-04-01_final.stac-item
2024-04-05 11:56:12	ga_s2bm_ard_3-2-1_50JKM_2024-04-05_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