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 11:59:31	ga_s2bm_ard_3-2-1_49JHN_2017-07-04_final.stac-item
2017-09-27 11:12:00	ga_s2bm_ard_3-2-1_52JDT_2017-09-27_final
2017-10-07 11:11:46	ga_s2bm_ard_3-2-1_51HWD_2017-10-07_final
2017-12-12 11:30:28	ga_s2bm_ard_3-2-1_51JWN_2017-12-12_final
2017-12-27 10:37:16	ga_s2bm_ard_3-2-1_53KMT_2017-12-27_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_53LPE_2018-03-10_final
2018-04-16 10:37:25	ga_s2bm_ard_3-2-1_53JKF_2018-04-16_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52KFB_2018-05-02_final
2018-05-26 10:43:10	ga_s2bm_ard_3-2-1_53JNG_2018-05-26_final
2018-07-10 11:30:50	ga_s2bm_ard_3-2-1_51KVU_2018-07-10_final
2018-09-07 10:22:40	ga_s2bm_ard_3-2-1_53HQB_2018-09-07_final
2018-09-13 10:41:38	ga_s2bm_ard_3-2-1_53KPQ_2018-09-13_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51KVS_2018-10-08_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KYT_2018-10-15_final
2019-02-07 10:34:14	ga_s2bm_ard_3-2-1_53JRM_2019-02-07_final
2019-03-14 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2019-03-14_final
2019-04-04 10:51:03	ga_s2bm_ard_3-2-1_53LLF_2019-04-04_final
2019-04-18 10:33:40	ga_s2bm_ard_3-2-1_53KQQ_2019-04-18_final
2019-04-23 11:24:11	ga_s2bm_ard_3-2-1_52KBU_2019-04-23_final
2019-05-10 11:13:38	ga_s2bm_ard_3-2-1_52KEA_2019-05-10_final
2019-05-16 11:36:46	ga_s2bm_ard_3-2-1_50HPK_2019-05-16_final
2019-09-10 11:21:41	ga_s2bm_ard_3-2-1_51LZD_2019-09-10_final
2019-09-10 11:22:57	ga_s2bm_ard_3-2-1_51KYU_2019-09-10_final
2019-09-20 11:22:51	ga_s2bm_ard_3-2-1_51KZU_2019-09-20_final
2019-09-30 11:26:06	ga_s2bm_ard_3-2-1_51JUG_2019-09-30_final
2019-10-07 11:13:52	ga_s2bm_ard_3-2-1_52KCV_2019-10-07_final
2019-11-02 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2019-11-02_final
2019-12-06 11:10:19	ga_s2bm_ard_3-2-1_52LHN_2019-12-06_final
2020-01-21 11:32:26	ga_s2bm_ard_3-2-1_51KVA_2020-01-21_final
2020-01-29 10:51:58	ga_s2bm_ard_3-2-1_53KNA_2020-01-29_final
2020-02-27 11:26:37	ga_s2bm_ard_3-2-1_51HWD_2020-02-27_final
2020-03-31 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2020-03-31_final
2020-04-05 10:44:03	ga_s2bm_ard_3-2-1_53JNN_2020-04-05_final
2020-04-14 11:15:38	ga_s2bm_ard_3-2-1_51JXH_2020-04-14_final
2020-04-15 10:41:30	ga_s2bm_ard_3-2-1_53LQC_2020-04-15_final
2020-04-18 10:54:43	ga_s2bm_ard_3-2-1_52JFR_2020-04-18_final
2020-04-18 10:55:05	ga_s2bm_ard_3-2-1_53JKJ_2020-04-18_final
2020-06-03 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2020-06-03_final
2020-07-23 11:13:50	ga_s2bm_ard_3-2-1_52KDV_2020-07-23_final
2020-11-09 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2020-11-09_final
2020-12-18 10:33:55	ga_s2bm_ard_3-2-1_53JRN_2020-12-18_final
2020-12-28 10:32:08	ga_s2bm_ard_3-2-1_53KQA_2020-12-28_final
2021-01-18 11:44:45	ga_s2bm_ard_3-2-1_50JRS_2021-01-18_final
2021-01-28 11:42:27	ga_s2bm_ard_3-2-1_51KVA_2021-01-28_final
2021-02-16 10:34:02	ga_s2bm_ard_3-2-1_53JQN_2021-02-16_final
2021-02-27 11:43:03	ga_s2bm_ard_3-2-1_50KRD_2021-02-27_final
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2021-04-04_final
2021-05-04 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-05-04_final
2021-05-29 11:14:24	ga_s2bm_ard_3-2-1_52JBT_2021-05-29_final
2021-07-15 11:04:20	ga_s2bm_ard_3-2-1_52JET_2021-07-15_final
2021-08-11 10:54:27	ga_s2bm_ard_3-2-1_53JKM_2021-08-11_final
2021-08-19 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2021-08-19_final
2021-08-22 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2021-08-22_final
2021-10-06 11:13:30	ga_s2bm_ard_3-2-1_52KEA_2021-10-06_final
2021-10-21 10:27:01	ga_s2bm_ard_3-2-1_54HTF_2021-10-21_final
2021-10-30 10:52:35	ga_s2bm_ard_3-2-1_53KNU_2021-10-30_final
2021-12-03 10:34:21	ga_s2bm_ard_3-2-1_53JNM_2021-12-03_final
2022-02-03 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2022-02-03_final
2022-03-21 11:33:50	ga_s2bm_ard_3-2-1_51KXQ_2022-03-21_final
2022-03-26 10:45:52	ga_s2bm_ard_3-2-1_53JLF_2022-03-26_final
2022-04-02 10:35:52	ga_s2bm_ard_3-2-1_53JMF_2022-04-02_final
2022-04-11 11:03:42	ga_s2bm_ard_3-2-1_52KFV_2022-04-11_final
2022-04-13 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2022-04-13_final
2022-05-20 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2022-05-20_final
2022-08-06 10:54:26	ga_s2bm_ard_3-2-1_52JFT_2022-08-06_final
2022-08-10 10:34:03	ga_s2bm_ard_3-2-1_53JRN_2022-08-10_final
2022-08-18 11:33:00	ga_s2bm_ard_3-2-1_51KWU_2022-08-18_final
2022-08-21 11:43:30	ga_s2bm_ard_3-2-1_51KUS_2022-08-21_final
2022-10-02 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2022-10-02_final.stac-item
2022-11-03 11:24:02	ga_s2bm_ard_3-2-1_51KZP_2022-11-03_final.stac-item
2022-11-03 11:24:02	ga_s2bm_ard_3-2-1_52KBU_2022-11-03_final.stac-item
2022-11-14 10:52:33	ga_s2bm_ard_3-2-1_53KNU_2022-11-14_final.stac-item
2022-11-30 11:11:32	ga_s2bm_ard_3-2-1_52LEJ_2022-11-30_final.stac-item
2022-12-16 11:33:40	ga_s2bm_ard_3-2-1_51KWR_2022-12-16_final.stac-item
2023-01-12 11:25:34	ga_s2bm_ard_3-2-1_51JXH_2023-01-12_final.stac-item
2023-02-07 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2023-02-07_final.stac-item
2023-02-12 10:55:23	ga_s2bm_ard_3-2-1_53JKH_2023-02-12_final.stac-item
2023-02-14 11:33:51	ga_s2bm_ard_3-2-1_51KXQ_2023-02-14_final.stac-item
2023-02-23 10:26:36	ga_s2bm_ard_3-2-1_53HPC_2023-02-23_final.stac-item
2023-02-23 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2023-02-23_final.stac-item
2023-03-10 11:10:29	ga_s2bm_ard_3-2-1_52LHN_2023-03-10_final.stac-item
2023-03-24 10:50:40	ga_s2bm_ard_3-2-1_53LNG_2023-03-24_final.stac-item
2023-04-03 10:55:49	ga_s2bm_ard_3-2-1_52JFM_2023-04-03_final.stac-item
2023-04-12 11:22:53	ga_s2bm_ard_3-2-1_52KBD_2023-04-12_final.stac-item
2023-05-19 12:51:04	ga_s2bm_ard_3-2-1_48LWP_2023-05-19_final.stac-item
2023-06-24 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-06-24_final.stac-item
2023-08-01 10:55:07	ga_s2bm_ard_3-2-1_52JFQ_2023-08-01_final.stac-item
2023-08-04 11:06:22	ga_s2bm_ard_3-2-1_52HDK_2023-08-04_final.stac-item
2023-10-26 11:14:17	ga_s2bm_ard_3-2-1_52JDT_2023-10-26_final.stac-item
2023-12-08 11:22:59	ga_s2bm_ard_3-2-1_52KCC_2023-12-08_final.stac-item
2023-12-11 11:32:16	ga_s2bm_ard_3-2-1_51KVB_2023-12-11_final.stac-item
2023-12-13 10:36:15	ga_s2bm_ard_3-2-1_53HPD_2023-12-13_final.stac-item
2024-02-17 10:52:46	ga_s2bm_ard_3-2-1_53KNT_2024-02-17_final.stac-item
2024-02-20 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2024-02-20_final.stac-item
2024-02-27 10:54:16	ga_s2bm_ard_3-2-1_53JKN_2024-02-27_final.stac-item
2024-03-13 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2024-03-13_final.stac-item
2024-04-26 11:23:38	ga_s2bm_ard_3-2-1_51KYR_2024-04-26_final.stac-item
2024-04-30 11:06:37	ga_s2bm_ard_3-2-1_51HYD_2024-04-30_final.stac-item
2024-05-02 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2024-05-02_final.stac-item
2024-05-13 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2024-05-13_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