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
2017-08-14 11:34:56	ga_s2bm_ard_3-2-1_50HPG_2017-08-14_final.stac-item
2017-08-21 11:24:49	ga_s2bm_ard_3-2-1_51JVG_2017-08-21_final
2017-09-30 11:21:42	ga_s2bm_ard_3-2-1_51JWH_2017-09-30_final
2017-11-18 11:49:07	ga_s2bm_ard_3-2-1_50JLP_2017-11-18_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_51KUQ_2017-11-25_final
2018-01-07 11:50:37	ga_s2bm_ard_3-2-1_50KPF_2018-01-07_final.stac-item
2018-02-09 12:02:42	ga_s2bm_ard_3-2-1_49KHR_2018-02-09_final
2018-03-28 11:51:53	ga_s2bm_ard_3-2-1_50KRC_2018-03-28_final
2018-04-18 11:23:34	ga_s2bm_ard_3-2-1_51JXK_2018-04-18_final
2018-06-13 11:43:22	ga_s2bm_ard_3-2-1_51KUR_2018-06-13_final
2018-07-13 11:40:15	ga_s2bm_ard_3-2-1_50JNM_2018-07-13_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50JML_2018-08-02_final
2018-08-12 11:41:45	ga_s2bm_ard_3-2-1_51JTM_2018-08-12_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JLM_2018-09-14_final
2018-10-25 11:23:58	ga_s2bm_ard_3-2-1_51JXK_2018-10-25_final
2018-12-27 11:36:42	ga_s2bm_ard_3-2-1_50HQJ_2018-12-27_final.stac-item
2019-01-15 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2019-01-15_final
2019-02-25 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2019-02-25_final
2019-03-27 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2019-03-27_final
2019-05-05 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2019-05-05_final
2019-06-22 11:25:36	ga_s2bm_ard_3-2-1_51JWJ_2019-06-22_final
2019-07-02 11:27:10	ga_s2bm_ard_3-2-1_51HUC_2019-07-02_final
2019-07-14 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-07-14_final
2019-08-06 12:14:02	ga_s2bm_ard_3-2-1_50KKA_2019-08-06_final
2019-09-26 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2019-09-26_final
2019-10-16 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2019-10-16_final
2019-10-17 11:16:38	ga_s2bm_ard_3-2-1_51HYD_2019-10-17_final
2019-12-26 11:14:18	ga_s2bm_ard_3-2-1_51JZN_2019-12-26_final
2020-01-04 11:43:38	ga_s2bm_ard_3-2-1_51KUR_2020-01-04_final
2020-01-17 11:53:15	ga_s2bm_ard_3-2-1_50KPC_2020-01-17_final
2020-02-07 11:26:26	ga_s2bm_ard_3-2-1_51HUE_2020-02-07_final
2020-02-23 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2020-02-23_final
2020-02-26 11:53:08	ga_s2bm_ard_3-2-1_50KRC_2020-02-26_final
2020-04-06 11:54:01	ga_s2bm_ard_3-2-1_50KPV_2020-04-06_final
2020-04-23 11:46:17	ga_s2bm_ard_3-2-1_50JNL_2020-04-23_final
2020-04-29 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2020-04-29_final
2020-06-28 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2020-06-28_final
2020-08-01 11:43:21	ga_s2bm_ard_3-2-1_50KRC_2020-08-01_final
2020-09-10 11:45:44	ga_s2bm_ard_3-2-1_50JQN_2020-09-10_final
2020-09-30 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2020-09-30_final
2020-10-01 11:17:02	ga_s2bm_ard_3-2-1_51HWC_2020-10-01_final.stac-item
2020-10-10 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2020-10-10_final.stac-item
2020-10-27 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2020-10-27_final
2020-10-30 11:43:06	ga_s2bm_ard_3-2-1_51KTU_2020-10-30_final
2020-11-20 11:14:42	ga_s2bm_ard_3-2-1_51JYM_2020-11-20_final
2020-12-05 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2020-12-05_final
2021-03-02 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2021-03-02_final
2021-04-11 11:55:53	ga_s2bm_ard_3-2-1_50JLN_2021-04-11_final
2021-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HPJ_2021-05-18_final
2021-06-11 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2021-06-11_final
2021-06-13 12:03:34	ga_s2bm_ard_3-2-1_50KNB_2021-06-13_final
2021-06-23 12:04:00	ga_s2bm_ard_3-2-1_49KHR_2021-06-23_final
2021-07-14 11:35:39	ga_s2bm_ard_3-2-1_50JQP_2021-07-14_final
2021-08-03 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2021-08-03_final
2021-10-11 12:04:49	ga_s2bm_ard_3-2-1_49JHN_2021-10-11_final
2021-11-24 11:44:30	ga_s2bm_ard_3-2-1_50JQT_2021-11-24_final
2021-12-21 11:32:27	ga_s2bm_ard_3-2-1_51KVA_2021-12-21_final
2022-01-27 11:24:45	ga_s2bm_ard_3-2-1_51JYL_2022-01-27_final
2022-02-08 12:05:50	ga_s2bm_ard_3-2-1_50JKN_2022-02-08_final
2022-03-27 11:53:51	ga_s2bm_ard_3-2-1_50KNA_2022-03-27_final
2022-04-03 11:43:15	ga_s2bm_ard_3-2-1_51KTT_2022-04-03_final
2022-04-14 11:15:07	ga_s2bm_ard_3-2-1_51JYK_2022-04-14_final
2022-04-19 12:03:55	ga_s2bm_ard_3-2-1_49KHR_2022-04-19_final
2022-04-30 11:34:36	ga_s2bm_ard_3-2-1_51JVM_2022-04-30_final
2022-05-17 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2022-05-17_final
2022-06-26 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2022-06-26_final.stac-item
2022-07-03 11:15:44	ga_s2bm_ard_3-2-1_51JYH_2022-07-03_final
2022-07-25 11:56:23	ga_s2bm_ard_3-2-1_50JNL_2022-07-25_final
2022-08-04 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2022-08-04_final
2022-08-08 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2022-08-08_final
2022-08-25 11:24:51	ga_s2bm_ard_3-2-1_51JYL_2022-08-25_final
2022-10-26 12:04:12	ga_s2bm_ard_3-2-1_50KKV_2022-10-26_final.stac-item
2023-01-01 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2023-01-01_final.stac-item
2023-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-01-04_final.stac-item
2023-01-15 11:34:32	ga_s2bm_ard_3-2-1_51JTN_2023-01-15_final.stac-item
2023-02-03 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2023-02-03_final.stac-item
2023-02-23 12:05:41	ga_s2bm_ard_3-2-1_50JKP_2023-02-23_final.stac-item
2023-03-16 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-03-16_final.stac-item
2023-05-02 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-05-02_final.stac-item
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-05-14_final.stac-item
2023-05-22 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2023-05-22_final.stac-item
2023-05-22 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2023-05-22_final.stac-item
2023-06-30 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-06-30_final.stac-item
2023-07-03 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2023-07-03_final.stac-item
2023-07-16 12:14:18	ga_s2bm_ard_3-2-1_49KGQ_2023-07-16_final.stac-item
2023-08-12 12:03:32	ga_s2bm_ard_3-2-1_50KLC_2023-08-12_final.stac-item
2023-08-29 11:56:27	ga_s2bm_ard_3-2-1_50JML_2023-08-29_final.stac-item
2023-09-05 11:47:21	ga_s2bm_ard_3-2-1_50HPG_2023-09-05_final.stac-item
2023-10-05 11:43:18	ga_s2bm_ard_3-2-1_50KRC_2023-10-05_final.stac-item
2023-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-10-08_final.stac-item
2023-10-15 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-10-15_final.stac-item
2023-10-22 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-22_final.stac-item
2023-11-21 11:34:12	ga_s2bm_ard_3-2-1_51JXN_2023-11-21_final.stac-item
2023-12-01 11:36:40	ga_s2bm_ard_3-2-1_51HUD_2023-12-01_final.stac-item
2023-12-07 11:53:21	ga_s2bm_ard_3-2-1_50KNC_2023-12-07_final.stac-item
2023-12-18 11:26:18	ga_s2bm_ard_3-2-1_51JUF_2023-12-18_final.stac-item
2023-12-20 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2023-12-20_final.stac-item
2023-12-31 11:34:30	ga_s2bm_ard_3-2-1_51JVN_2023-12-31_final.stac-item
2024-03-19 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2024-03-19_final.stac-item
2024-04-21 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2024-04-21_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