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
2017-10-22 10:23:14	ga_s2bm_ard_3-2-1_54HTF_2017-10-22_final
2017-11-27 10:37:15	ga_s2bm_ard_3-2-1_53JMN_2017-11-27_final
2017-12-20 10:47:12	ga_s2bm_ard_3-2-1_53KKV_2017-12-20_final
2018-01-06 10:37:18	ga_s2bm_ard_3-2-1_53KRA_2018-01-06_final
2018-01-12 10:57:07	ga_s2bm_ard_3-2-1_52LHH_2018-01-12_final
2018-01-28 11:25:10	ga_s2bm_ard_3-2-1_51JXG_2018-01-28_final
2018-04-26 10:37:26	ga_s2bm_ard_3-2-1_53JKF_2018-04-26_final
2018-05-13 10:30:42	ga_s2bm_ard_3-2-1_53KPP_2018-05-13_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JKK_2018-05-26_final
2018-06-23 11:37:58	ga_s2bm_ard_3-2-1_51KVU_2018-06-23_final
2018-06-26 11:54:14	ga_s2bm_ard_3-2-1_50JKM_2018-06-26_final
2018-07-22 12:13:19	ga_s2bm_ard_3-2-1_49KGR_2018-07-22_final
2018-07-29 10:22:46	ga_s2bm_ard_3-2-1_53JRM_2018-07-29_final
2018-08-30 11:00:32	ga_s2bm_ard_3-2-1_52JDL_2018-08-30_final
2018-11-09 10:33:40	ga_s2bm_ard_3-2-1_53KRP_2018-11-09_final
2018-12-29 10:33:46	ga_s2bm_ard_3-2-1_53KQP_2018-12-29_final
2019-03-13 11:55:07	ga_s2bm_ard_3-2-1_50JMR_2019-03-13_final
2019-04-01 10:44:30	ga_s2bm_ard_3-2-1_53JPL_2019-04-01_final
2019-04-19 11:46:13	ga_s2bm_ard_3-2-1_51JTF_2019-04-19_final
2019-07-07 10:34:27	ga_s2bm_ard_3-2-1_53JQM_2019-07-07_final
2019-07-17 10:33:58	ga_s2bm_ard_3-2-1_53KQP_2019-07-17_final
2019-09-26 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2019-09-26_final
2019-12-31 10:24:14	ga_s2bm_ard_3-2-1_53JRM_2019-12-31_final
2020-01-08 11:21:19	ga_s2bm_ard_3-2-1_52LBK_2020-01-08_final
2020-01-14 11:44:04	ga_s2bm_ard_3-2-1_50KPV_2020-01-14_final
2020-01-26 10:42:43	ga_s2bm_ard_3-2-1_53KPT_2020-01-26_final
2020-03-20 10:26:57	ga_s2bm_ard_3-2-1_54HTF_2020-03-20_final
2020-04-05 10:44:25	ga_s2bm_ard_3-2-1_53JPL_2020-04-05_final
2020-04-20 11:33:40	ga_s2bm_ard_3-2-1_51KVR_2020-04-20_final
2020-05-22 10:35:45	ga_s2bm_ard_3-2-1_53JQF_2020-05-22_final
2020-06-21 10:33:48	ga_s2bm_ard_3-2-1_53KRP_2020-06-21_final
2020-07-08 10:25:07	ga_s2bm_ard_3-2-1_53JQJ_2020-07-08_final
2020-08-01 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2020-08-01_final
2020-08-01 11:43:18	ga_s2bm_ard_3-2-1_51KUT_2020-08-01_final
2020-09-27 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2020-09-27_final
2020-10-02 10:44:10	ga_s2bm_ard_3-2-1_53JNN_2020-10-02_final
2020-11-07 11:02:41	ga_s2bm_ard_3-2-1_53KKU_2020-11-07_final
2020-11-20 11:13:01	ga_s2bm_ard_3-2-1_52KEC_2020-11-20_final
2020-11-28 10:33:45	ga_s2bm_ard_3-2-1_53KRP_2020-11-28_final
2020-12-31 10:40:38	ga_s2bm_ard_3-2-1_53LPG_2020-12-31_final
2021-01-17 10:33:49	ga_s2bm_ard_3-2-1_53KQP_2021-01-17_final
2021-01-26 11:01:28	ga_s2bm_ard_3-2-1_52LHJ_2021-01-26_final
2021-01-30 10:46:24	ga_s2bm_ard_3-2-1_53HLD_2021-01-30_final
2021-03-24 10:52:44	ga_s2bm_ard_3-2-1_53KNT_2021-03-24_final
2021-03-25 10:26:58	ga_s2bm_ard_3-2-1_54HTF_2021-03-25_final
2021-03-27 11:05:07	ga_s2bm_ard_3-2-1_52JCQ_2021-03-27_final
2021-03-28 10:33:48	ga_s2bm_ard_3-2-1_53KQP_2021-03-28_final
2021-05-04 12:04:10	ga_s2bm_ard_3-2-1_49KHQ_2021-05-04_final
2021-05-15 11:36:22	ga_s2bm_ard_3-2-1_51HVE_2021-05-15_final
2021-06-06 10:33:39	ga_s2bm_ard_3-2-1_53KPQ_2021-06-06_final
2021-06-25 11:01:42	ga_s2bm_ard_3-2-1_53LKC_2021-06-25_final
2021-07-05 11:04:52	ga_s2bm_ard_3-2-1_52JDR_2021-07-05_final
2021-07-26 12:13:39	ga_s2bm_ard_3-2-1_50KKB_2021-07-26_final
2021-09-21 12:06:05	ga_s2bm_ard_3-2-1_50JKM_2021-09-21_final
2021-10-10 10:53:55	ga_s2bm_ard_3-2-1_53KLP_2021-10-10_final
2021-11-05 11:11:20	ga_s2bm_ard_3-2-1_52LEK_2021-11-05_final.stac-item
2021-11-06 10:43:52	ga_s2bm_ard_3-2-1_53KPP_2021-11-06_final
2021-11-21 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2021-11-21_final
2022-01-12 10:34:28	ga_s2bm_ard_3-2-1_53JQL_2022-01-12_final
2022-01-21 11:03:29	ga_s2bm_ard_3-2-1_52KEA_2022-01-21_final
2022-01-21 11:04:19	ga_s2bm_ard_3-2-1_52JGS_2022-01-21_final
2022-01-22 10:34:43	ga_s2bm_ard_3-2-1_53JPK_2022-01-22_final
2022-01-28 10:52:35	ga_s2bm_ard_3-2-1_53KLU_2022-01-28_final
2022-04-02 10:33:56	ga_s2bm_ard_3-2-1_53JRN_2022-04-02_final
2022-04-25 10:44:04	ga_s2bm_ard_3-2-1_53JMN_2022-04-25_final
2022-04-29 10:25:45	ga_s2bm_ard_3-2-1_53JPF_2022-04-29_final
2022-05-05 10:43:18	ga_s2bm_ard_3-2-1_53KNR_2022-05-05_final
2022-05-31 11:02:54	ga_s2bm_ard_3-2-1_53KKT_2022-05-31_final
2022-06-11 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2022-06-11_final
2022-06-27 10:50:47	ga_s2bm_ard_3-2-1_53LMG_2022-06-27_final
2022-07-21 10:33:50	ga_s2bm_ard_3-2-1_53KRP_2022-07-21_final
2022-08-23 10:43:49	ga_s2bm_ard_3-2-1_53KPP_2022-08-23_final
2022-08-30 10:33:53	ga_s2bm_ard_3-2-1_53KPP_2022-08-30_final
2022-09-04 11:25:00	ga_s2bm_ard_3-2-1_51JWL_2022-09-04_final.stac-item
2022-09-16 10:24:42	ga_s2bm_ard_3-2-1_53JQL_2022-09-16_final.stac-item
2022-09-25 10:54:48	ga_s2bm_ard_3-2-1_52JFR_2022-09-25_final.stac-item
2022-11-11 10:43:47	ga_s2bm_ard_3-2-1_53KPP_2022-11-11_final.stac-item
2022-11-17 11:01:42	ga_s2bm_ard_3-2-1_52LHH_2022-11-17_final.stac-item
2022-12-03 09:48:06	ga_s2bm_ard_3-2-1_54GYA_2022-12-03_final.stac-item
2022-12-31 10:42:31	ga_s2bm_ard_3-2-1_53KQU_2022-12-31_final.stac-item
2023-01-03 10:53:09	ga_s2bm_ard_3-2-1_53KLS_2023-01-03_final.stac-item
2023-01-06 11:03:07	ga_s2bm_ard_3-2-1_52KHB_2023-01-06_final.stac-item
2023-01-23 10:51:20	ga_s2bm_ard_3-2-1_53LND_2023-01-23_final.stac-item
2023-01-28 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-28_final.stac-item
2023-02-08 11:10:31	ga_s2bm_ard_3-2-1_52LFN_2023-02-08_final.stac-item
2023-02-24 11:35:34	ga_s2bm_ard_3-2-1_51JTJ_2023-02-24_final.stac-item
2023-04-01 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2023-04-01_final.stac-item
2023-04-19 11:10:34	ga_s2bm_ard_3-2-1_52LFN_2023-04-19_final.stac-item
2023-07-30 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-07-30_final.stac-item
2023-08-12 12:06:10	ga_s2bm_ard_3-2-1_50JLM_2023-08-12_final.stac-item
2023-10-17 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2023-10-17_final.stac-item
2023-10-31 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2023-10-31_final.stac-item
2023-11-28 11:25:02	ga_s2bm_ard_3-2-1_51JYK_2023-11-28_final.stac-item
2023-12-31 11:35:57	ga_s2bm_ard_3-2-1_50JQN_2023-12-31_final.stac-item
2024-01-07 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-01-07_final.stac-item
2024-01-22 10:34:03	ga_s2bm_ard_3-2-1_53JQN_2024-01-22_final.stac-item
2024-02-10 11:03:51	ga_s2bm_ard_3-2-1_52KDV_2024-02-10_final.stac-item
2024-03-10 11:31:31	ga_s2bm_ard_3-2-1_51LZD_2024-03-10_final.stac-item
2024-03-27 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2024-03-27_final.stac-item
2024-04-26 11:22:59	ga_s2bm_ard_3-2-1_51KXU_2024-04-26_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