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
2017-07-19 11:12:01	ga_s2bm_ard_3-2-1_51JYJ_2017-07-19_final
2017-08-04 11:36:02	ga_s2bm_ard_3-2-1_50JQL_2017-08-04_final
2017-08-25 11:02:43	ga_s2bm_ard_3-2-1_51HYD_2017-08-25_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50HQJ_2017-09-16_final
2017-10-12 12:02:35	ga_s2bm_ard_3-2-1_50KKB_2017-10-12_final
2017-12-11 12:02:37	ga_s2bm_ard_3-2-1_49JGL_2017-12-11_final
2017-12-18 11:50:34	ga_s2bm_ard_3-2-1_50JLM_2017-12-18_final
2018-04-17 11:56:30	ga_s2bm_ard_3-2-1_50HLJ_2018-04-17_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51KUT_2018-05-01_final
2018-05-28 11:26:26	ga_s2bm_ard_3-2-1_51HUC_2018-05-28_final
2018-06-19 12:02:48	ga_s2bm_ard_3-2-1_50JLN_2018-06-19_final
2018-08-02 11:44:54	ga_s2bm_ard_3-2-1_50HNJ_2018-08-02_final
2018-08-05 11:52:56	ga_s2bm_ard_3-2-1_50HMH_2018-08-05_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51JUN_2018-08-09_final
2018-08-15 11:54:27	ga_s2bm_ard_3-2-1_50JPR_2018-08-15_final
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_50KMB_2018-08-28_final
2018-09-08 11:30:45	ga_s2bm_ard_3-2-1_51JUJ_2018-09-08_final
2018-09-10 12:13:12	ga_s2bm_ard_3-2-1_49KGQ_2018-09-10_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUS_2018-10-21_final
2018-10-31 11:46:25	ga_s2bm_ard_3-2-1_50HNH_2018-10-31_final
2019-01-23 11:24:44	ga_s2bm_ard_3-2-1_51JWM_2019-01-23_final
2019-03-13 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2019-03-13_final
2019-03-29 12:14:58	ga_s2bm_ard_3-2-1_49JGM_2019-03-29_final
2019-04-15 12:04:51	ga_s2bm_ard_3-2-1_49JGN_2019-04-15_final
2019-04-28 12:14:00	ga_s2bm_ard_3-2-1_50KKA_2019-04-28_final
2019-05-03 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-05-03_final
2019-05-12 11:52:42	ga_s2bm_ard_3-2-1_50KQF_2019-05-12_final.stac-item
2019-05-23 11:26:41	ga_s2bm_ard_3-2-1_51HUE_2019-05-23_final
2019-06-12 11:27:06	ga_s2bm_ard_3-2-1_51HVC_2019-06-12_final
2019-07-31 11:52:28	ga_s2bm_ard_3-2-1_50KQG_2019-07-31_final.stac-item
2019-08-07 11:47:24	ga_s2bm_ard_3-2-1_50HPG_2019-08-07_final.stac-item
2019-08-13 12:06:11	ga_s2bm_ard_3-2-1_50JLM_2019-08-13_final
2019-09-19 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2019-09-19_final
2019-09-23 11:36:57	ga_s2bm_ard_3-2-1_51HUC_2019-09-23_final
2019-12-28 11:55:51	ga_s2bm_ard_3-2-1_50JLN_2019-12-28_final
2020-01-07 11:53:45	ga_s2bm_ard_3-2-1_50KPA_2020-01-07_final
2020-01-14 11:42:57	ga_s2bm_ard_3-2-1_51KTU_2020-01-14_final
2020-02-16 11:53:06	ga_s2bm_ard_3-2-1_50KRC_2020-02-16_final
2020-03-07 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2020-03-07_final
2020-03-20 12:03:39	ga_s2bm_ard_3-2-1_50KLB_2020-03-20_final
2020-03-20 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-20_final
2020-04-17 11:26:57	ga_s2bm_ard_3-2-1_51HUC_2020-04-17_final
2020-04-20 11:36:52	ga_s2bm_ard_3-2-1_51HUC_2020-04-20_final
2020-05-06 11:56:20	ga_s2bm_ard_3-2-1_50JML_2020-05-06_final
2020-06-15 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2020-06-15_final
2020-08-04 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2020-08-04_final
2020-09-03 11:53:56	ga_s2bm_ard_3-2-1_50KNA_2020-09-03_final
2020-10-04 11:25:31	ga_s2bm_ard_3-2-1_51JWJ_2020-10-04_final
2020-12-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2020-12-29_final
2021-01-22 11:24:40	ga_s2bm_ard_3-2-1_51JXM_2021-01-22_final
2021-03-26 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2021-03-26_final.stac-item
2021-05-18 11:43:03	ga_s2bm_ard_3-2-1_51KTU_2021-05-18_final
2021-06-04 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2021-06-04_final
2021-06-14 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2021-06-14_final
2021-08-17 11:15:10	ga_s2bm_ard_3-2-1_51JYK_2021-08-17_final
2021-08-19 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2021-08-19_final
2021-08-20 11:24:50	ga_s2bm_ard_3-2-1_51JYL_2021-08-20_final
2021-09-14 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final
2021-09-21 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2021-09-21_final
2021-10-05 11:44:51	ga_s2bm_ard_3-2-1_51JUL_2021-10-05_final
2021-10-22 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2021-10-22_final
2021-11-07 11:55:42	ga_s2bm_ard_3-2-1_50JLP_2021-11-07_final
2021-11-20 12:04:04	ga_s2bm_ard_3-2-1_50KMV_2021-11-20_final
2021-12-27 11:54:58	ga_s2bm_ard_3-2-1_50JPR_2021-12-27_final
2021-12-30 12:03:40	ga_s2bm_ard_3-2-1_50KKB_2021-12-30_final
2022-01-10 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2022-01-10_final
2022-02-02 11:45:36	ga_s2bm_ard_3-2-1_50JQN_2022-02-02_final
2022-03-08 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2022-03-08_final
2022-03-13 12:13:52	ga_s2bm_ard_3-2-1_50KKA_2022-03-13_final
2022-03-30 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2022-03-30_final
2022-04-10 11:36:39	ga_s2bm_ard_3-2-1_51HUD_2022-04-10_final
2022-04-17 11:26:10	ga_s2bm_ard_3-2-1_51JVF_2022-04-17_final
2022-05-03 11:45:43	ga_s2bm_ard_3-2-1_51JTH_2022-05-03_final
2022-05-09 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2022-05-09_final
2022-05-19 12:03:58	ga_s2bm_ard_3-2-1_50KKA_2022-05-19_final
2022-07-19 11:37:31	ga_s2bm_ard_3-2-1_50HNG_2022-07-19_final.stac-item
2022-07-29 11:34:34	ga_s2bm_ard_3-2-1_51JVN_2022-07-29_final
2022-08-17 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2022-08-17_final
2022-08-27 12:03:20	ga_s2bm_ard_3-2-1_50KNC_2022-08-27_final
2022-09-16 12:04:48	ga_s2bm_ard_3-2-1_50JKT_2022-09-16_final.stac-item
2022-09-17 11:37:05	ga_s2bm_ard_3-2-1_50HQH_2022-09-17_final.stac-item
2022-11-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-11-25_final.stac-item
2022-12-03 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2022-12-03_final.stac-item
2023-01-12 11:24:40	ga_s2bm_ard_3-2-1_51JWM_2023-01-12_final.stac-item
2023-01-15 11:36:57	ga_s2bm_ard_3-2-1_51HTC_2023-01-15_final.stac-item
2023-02-21 11:26:43	ga_s2bm_ard_3-2-1_51HVD_2023-02-21_final.stac-item
2023-03-22 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-03-22_final.stac-item
2023-04-16 11:06:38	ga_s2bm_ard_3-2-1_51HYD_2023-04-16_final.stac-item
2023-05-25 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-05-25_final.stac-item
2023-06-24 11:37:11	ga_s2bm_ard_3-2-1_50HPH_2023-06-24_final.stac-item
2023-07-01 11:26:05	ga_s2bm_ard_3-2-1_51JVG_2023-07-01_final.stac-item
2023-07-23 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2023-07-23_final.stac-item
2023-08-02 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-08-02_final.stac-item
2023-08-25 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-08-25_final.stac-item
2023-10-24 12:13:41	ga_s2bm_ard_3-2-1_50KKB_2023-10-24_final.stac-item
2023-11-07 11:53:33	ga_s2bm_ard_3-2-1_50KMC_2023-11-07_final.stac-item
2024-01-20 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2024-01-20_final.stac-item
2024-02-02 11:43:19	ga_s2bm_ard_3-2-1_50KQC_2024-02-02_final.stac-item
2024-02-15 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2024-02-15_final.stac-item
2024-04-19 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2024-04-19_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