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
2017-07-18 11:38:32	ga_s2bm_ard_3-2-1_51LWC_2017-07-18_final
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_51JVL_2017-08-14_final
2017-09-29 11:51:40	ga_s2bm_ard_3-2-1_50JNL_2017-09-29_final
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_50KKB_2017-10-05_final
2017-10-11 10:52:02	ga_s2bm_ard_3-2-1_53KKP_2017-10-11_final
2017-11-09 11:25:03	ga_s2bm_ard_3-2-1_51JXF_2017-11-09_final
2017-11-21 10:16:54	ga_s2bm_ard_3-2-1_53HQB_2017-11-21_final
2017-12-02 11:27:18	ga_s2bm_ard_3-2-1_51KYV_2017-12-02_final
2017-12-28 10:16:45	ga_s2bm_ard_3-2-1_54HTF_2017-12-28_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_51JXJ_2018-01-05_final
2018-02-22 10:27:00	ga_s2bm_ard_3-2-1_53HPE_2018-02-22_final
2018-02-24 11:11:53	ga_s2bm_ard_3-2-1_51JXG_2018-02-24_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JFR_2018-03-10_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52KHC_2018-03-10_final
2018-04-01 11:35:24	ga_s2bm_ard_3-2-1_51JTH_2018-04-01_final
2018-05-14 11:43:22	ga_s2bm_ard_3-2-1_50HMJ_2018-05-14_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HNK_2018-07-26_final
2018-08-08 12:04:30	ga_s2bm_ard_3-2-1_49JGK_2018-08-08_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52KEC_2018-08-30_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52KDV_2018-10-09_final
2019-01-06 11:32:45	ga_s2bm_ard_3-2-1_51KVV_2019-01-06_final
2019-03-05 10:50:39	ga_s2bm_ard_3-2-1_53LMG_2019-03-05_final
2019-04-27 11:06:31	ga_s2bm_ard_3-2-1_52HBK_2019-04-27_final
2019-06-15 11:33:52	ga_s2bm_ard_3-2-1_51KVR_2019-06-15_final
2019-08-04 11:33:24	ga_s2bm_ard_3-2-1_51KVT_2019-08-04_final
2019-09-04 11:05:50	ga_s2bm_ard_3-2-1_52JDM_2019-09-04_final
2019-09-20 11:26:31	ga_s2bm_ard_3-2-1_51HUE_2019-09-20_final
2019-09-23 11:33:38	ga_s2bm_ard_3-2-1_51KXR_2019-09-23_final
2019-12-28 11:54:06	ga_s2bm_ard_3-2-1_50KMV_2019-12-28_final
2020-01-03 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2020-01-03_final
2020-01-18 11:23:58	ga_s2bm_ard_3-2-1_52KBU_2020-01-18_final
2020-02-27 11:22:02	ga_s2bm_ard_3-2-1_52KCG_2020-02-27_final
2020-03-30 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-03-30_final
2020-03-30 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2020-03-30_final
2020-06-11 10:34:20	ga_s2bm_ard_3-2-1_53JQM_2020-06-11_final
2020-06-26 11:25:48	ga_s2bm_ard_3-2-1_51JVH_2020-06-26_final
2020-07-21 10:37:00	ga_s2bm_ard_3-2-1_53HPA_2020-07-21_final
2020-07-29 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2020-07-29_final
2020-08-04 11:56:17	ga_s2bm_ard_3-2-1_50JKM_2020-08-04_final
2020-08-14 10:17:07	ga_s2bm_ard_3-2-1_54HTF_2020-08-14_final
2020-10-28 11:05:05	ga_s2bm_ard_3-2-1_52JEQ_2020-10-28_final
2020-12-08 10:36:08	ga_s2bm_ard_3-2-1_53HME_2020-12-08_final
2020-12-21 10:41:56	ga_s2bm_ard_3-2-1_53KRA_2020-12-21_final
2020-12-21 10:45:07	ga_s2bm_ard_3-2-1_53JLJ_2020-12-21_final
2020-12-24 10:52:56	ga_s2bm_ard_3-2-1_53KKT_2020-12-24_final
2021-01-29 11:16:36	ga_s2bm_ard_3-2-1_51HYD_2021-01-29_final
2021-02-16 10:34:30	ga_s2bm_ard_3-2-1_53JQL_2021-02-16_final
2021-03-04 10:55:48	ga_s2bm_ard_3-2-1_52JEM_2021-03-04_final
2021-03-26 11:34:48	ga_s2bm_ard_3-2-1_51JTM_2021-03-26_final
2021-04-14 10:26:37	ga_s2bm_ard_3-2-1_53HNC_2021-04-14_final
2021-04-18 11:44:26	ga_s2bm_ard_3-2-1_50JRT_2021-04-18_final
2021-05-20 10:45:47	ga_s2bm_ard_3-2-1_52JGM_2021-05-20_final
2021-06-29 10:40:55	ga_s2bm_ard_3-2-1_53LPF_2021-06-29_final
2021-07-13 12:04:21	ga_s2bm_ard_3-2-1_50KLU_2021-07-13_final
2021-08-10 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2021-08-10_final
2021-09-02 11:36:54	ga_s2bm_ard_3-2-1_51HUC_2021-09-02_final
2021-10-13 11:02:19	ga_s2bm_ard_3-2-1_52KFF_2021-10-13_final
2021-11-06 10:46:10	ga_s2bm_ard_3-2-1_53HLE_2021-11-06_final
2021-11-10 10:24:04	ga_s2bm_ard_3-2-1_53JRN_2021-11-10_final
2021-12-03 10:36:20	ga_s2bm_ard_3-2-1_53HMD_2021-12-03_final
2022-01-07 11:26:43	ga_s2bm_ard_3-2-1_51HUD_2022-01-07_final
2022-01-22 10:33:48	ga_s2bm_ard_3-2-1_53KPP_2022-01-22_final
2022-02-04 10:41:52	ga_s2bm_ard_3-2-1_53KRA_2022-02-04_final
2022-02-07 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2022-02-07_final
2022-05-04 11:15:49	ga_s2bm_ard_3-2-1_51JYG_2022-05-04_final
2022-05-13 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-05-13_final
2022-05-29 12:04:10	ga_s2bm_ard_3-2-1_50KLV_2022-05-29_final
2022-07-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-19_final
2022-07-30 11:06:08	ga_s2bm_ard_3-2-1_52JDL_2022-07-30_final
2022-08-01 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2022-08-01_final.stac-item
2022-08-09 11:06:41	ga_s2bm_ard_3-2-1_51HYD_2022-08-09_final
2022-09-20 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2022-09-20_final.stac-item
2022-10-25 10:55:04	ga_s2bm_ard_3-2-1_53JLJ_2022-10-25_final.stac-item
2022-10-31 12:50:57	ga_s2bm_ard_3-2-1_48LXP_2022-10-31_interim.stac-item
2022-12-28 10:33:37	ga_s2bm_ard_3-2-1_53KPQ_2022-12-28_final.stac-item
2022-12-29 13:21:37	ga_s2bm_ard_3-2-1_47LKH_2022-12-29_interim.stac-item
2023-02-02 10:52:26	ga_s2bm_ard_3-2-1_53KKV_2023-02-02_final.stac-item
2023-02-14 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-02-14_final.stac-item
2023-02-18 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2023-02-18_final.stac-item
2023-02-19 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2023-02-19_final.stac-item
2023-03-04 10:52:17	ga_s2bm_ard_3-2-1_53KKA_2023-03-04_final.stac-item
2023-03-06 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-03-06_final.stac-item
2023-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-03-09_final.stac-item
2023-03-14 10:51:00	ga_s2bm_ard_3-2-1_53LMF_2023-03-14_final.stac-item
2023-03-26 11:34:49	ga_s2bm_ard_3-2-1_51JUM_2023-03-26_final.stac-item
2023-04-18 11:42:15	ga_s2bm_ard_3-2-1_51KVB_2023-04-18_final.stac-item
2023-05-04 10:26:09	ga_s2bm_ard_3-2-1_53HPE_2023-05-04_final.stac-item
2023-06-03 12:04:03	ga_s2bm_ard_3-2-1_50KKA_2023-06-03_final.stac-item
2023-06-17 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2023-06-17_final.stac-item
2023-07-19 10:46:15	ga_s2bm_ard_3-2-1_53HLE_2023-07-19_final.stac-item
2023-08-02 10:25:10	ga_s2bm_ard_3-2-1_53JQJ_2023-08-02_final.stac-item
2023-11-10 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-11-10_final.stac-item
2023-11-19 10:52:31	ga_s2bm_ard_3-2-1_53KNU_2023-11-19_final.stac-item
2024-01-19 10:24:39	ga_s2bm_ard_3-2-1_53JQL_2024-01-19_final.stac-item
2024-02-16 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2024-02-16_final.stac-item
2024-02-18 12:06:11	ga_s2bm_ard_3-2-1_50JKM_2024-02-18_final.stac-item
2024-03-07 11:25:28	ga_s2bm_ard_3-2-1_51JYH_2024-03-07_final.stac-item
2024-03-10 11:31:16	ga_s2bm_ard_3-2-1_51LZE_2024-03-10_final.stac-item
2024-03-11 11:04:20	ga_s2bm_ard_3-2-1_52JGS_2024-03-11_final.stac-item
2024-03-24 11:13:14	ga_s2bm_ard_3-2-1_52KBC_2024-03-24_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