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
2017-09-03 11:30:07	ga_s2bm_ard_3-2-1_51KVT_2017-09-03_final
2017-09-16 11:40:38	ga_s2bm_ard_3-2-1_50JPT_2017-09-16_final
2017-11-15 11:46:01	ga_s2bm_ard_3-2-1_50HLH_2017-11-15_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_50HPJ_2018-03-22_final
2018-04-04 11:40:13	ga_s2bm_ard_3-2-1_51KUU_2018-04-04_final
2018-04-14 11:40:40	ga_s2bm_ard_3-2-1_51KVU_2018-04-14_final
2018-04-21 11:33:07	ga_s2bm_ard_3-2-1_51KUT_2018-04-21_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_51KVV_2018-04-24_final
2018-08-22 11:44:50	ga_s2bm_ard_3-2-1_50HNG_2018-08-22_final.stac-item
2018-08-28 12:02:40	ga_s2bm_ard_3-2-1_49JGM_2018-08-28_final
2018-09-11 11:41:45	ga_s2bm_ard_3-2-1_51KVT_2018-09-11_final
2018-09-18 11:30:06	ga_s2bm_ard_3-2-1_51KVU_2018-09-18_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HNJ_2018-09-21_final
2018-10-11 11:41:47	ga_s2bm_ard_3-2-1_50HPH_2018-10-11_final
2018-10-21 11:38:40	ga_s2bm_ard_3-2-1_51KUV_2018-10-21_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVB_2018-10-28_final
2018-11-20 11:43:10	ga_s2bm_ard_3-2-1_51KTT_2018-11-20_final
2019-01-02 11:55:54	ga_s2bm_ard_3-2-1_50JLN_2019-01-02_final
2019-01-13 11:26:54	ga_s2bm_ard_3-2-1_51HWC_2019-01-13_final.stac-item
2019-01-15 12:05:55	ga_s2bm_ard_3-2-1_50JKN_2019-01-15_final
2019-01-19 11:43:18	ga_s2bm_ard_3-2-1_51KTT_2019-01-19_final
2019-01-29 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2019-01-29_final
2019-02-11 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2019-02-11_final
2019-03-20 11:43:10	ga_s2bm_ard_3-2-1_51KVT_2019-03-20_final
2019-03-24 11:26:44	ga_s2bm_ard_3-2-1_51HVD_2019-03-24_final
2019-05-06 11:37:15	ga_s2bm_ard_3-2-1_50HPH_2019-05-06_final
2019-06-08 11:46:45	ga_s2bm_ard_3-2-1_50HNK_2019-06-08_final
2019-06-28 11:42:54	ga_s2bm_ard_3-2-1_51KUV_2019-06-28_final
2019-07-05 11:34:52	ga_s2bm_ard_3-2-1_51JVM_2019-07-05_final
2019-07-18 11:47:18	ga_s2bm_ard_3-2-1_50HMH_2019-07-18_final
2019-09-06 11:43:46	ga_s2bm_ard_3-2-1_51KUR_2019-09-06_final
2019-11-02 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2019-11-02_final.stac-item
2019-11-05 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2019-11-05_final
2020-01-01 11:33:55	ga_s2bm_ard_3-2-1_51KVQ_2020-01-01_final
2020-04-06 11:54:42	ga_s2bm_ard_3-2-1_50JPS_2020-04-06_final
2020-04-10 11:32:58	ga_s2bm_ard_3-2-1_51KVU_2020-04-10_final
2020-05-10 11:35:32	ga_s2bm_ard_3-2-1_51JTJ_2020-05-10_final
2020-05-16 11:53:02	ga_s2bm_ard_3-2-1_50KQD_2020-05-16_final.stac-item
2020-06-01 12:14:00	ga_s2bm_ard_3-2-1_49KGR_2020-06-01_final
2020-08-01 11:43:00	ga_s2bm_ard_3-2-1_51KVU_2020-08-01_final
2020-09-10 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2020-09-10_final
2020-10-04 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2020-10-04_final
2020-10-11 11:14:45	ga_s2bm_ard_3-2-1_51JYM_2020-10-11_final
2020-11-29 11:44:13	ga_s2bm_ard_3-2-1_51KUP_2020-11-29_final
2020-12-26 11:34:15	ga_s2bm_ard_3-2-1_51KUP_2020-12-26_final
2021-01-17 12:13:56	ga_s2bm_ard_3-2-1_50KKA_2021-01-17_final
2021-01-28 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2021-01-28_final.stac-item
2021-02-17 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2021-02-17_final
2021-02-24 11:32:13	ga_s2bm_ard_3-2-1_51KWB_2021-02-24_final
2021-03-13 11:27:01	ga_s2bm_ard_3-2-1_51HUC_2021-03-13_final
2021-03-29 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2021-03-29_final
2021-04-08 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2021-04-08_final
2021-05-12 11:26:19	ga_s2bm_ard_3-2-1_51JUF_2021-05-12_final
2021-05-18 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2021-05-18_final
2021-05-22 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-05-22_final
2021-07-27 11:43:31	ga_s2bm_ard_3-2-1_51KUS_2021-07-27_final
2021-07-30 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2021-07-30_final
2021-08-30 11:26:56	ga_s2bm_ard_3-2-1_51HVC_2021-08-30_final
2021-09-19 11:26:44	ga_s2bm_ard_3-2-1_51HUD_2021-09-19_final
2021-09-25 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2021-09-25_final
2021-10-22 11:36:50	ga_s2bm_ard_3-2-1_50HQJ_2021-10-22_final
2021-11-14 11:42:08	ga_s2bm_ard_3-2-1_51KWB_2021-11-14_final
2022-01-10 11:33:56	ga_s2bm_ard_3-2-1_51KVQ_2022-01-10_final
2022-02-28 12:05:11	ga_s2bm_ard_3-2-1_49JGL_2022-02-28_final
2022-03-11 11:32:59	ga_s2bm_ard_3-2-1_51KVU_2022-03-11_final
2022-03-17 11:53:09	ga_s2bm_ard_3-2-1_50KRC_2022-03-17_final
2022-04-20 11:36:22	ga_s2bm_ard_3-2-1_50JPL_2022-04-20_final
2022-06-01 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-06-01_final
2022-06-12 11:42:45	ga_s2bm_ard_3-2-1_51KVV_2022-06-12_final
2022-06-18 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2022-06-18_final
2022-06-22 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2022-06-22_final
2022-07-05 11:57:28	ga_s2bm_ard_3-2-1_50HLG_2022-07-05_final.stac-item
2022-08-02 11:16:13	ga_s2bm_ard_3-2-1_51JYF_2022-08-02_final
2022-10-07 11:32:44	ga_s2bm_ard_3-2-1_51KVV_2022-10-07_final.stac-item
2022-10-30 11:43:42	ga_s2bm_ard_3-2-1_51KUR_2022-10-30_final.stac-item
2022-11-15 12:03:23	ga_s2bm_ard_3-2-1_50KMC_2022-11-15_final.stac-item
2022-11-16 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-11-16_final.stac-item
2022-12-08 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-12-08_final.stac-item
2023-01-21 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2023-01-21_final.stac-item
2023-02-23 12:03:59	ga_s2bm_ard_3-2-1_50KKA_2023-02-23_final.stac-item
2023-02-27 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2023-02-27_final.stac-item
2023-03-09 11:42:13	ga_s2bm_ard_3-2-1_51KWB_2023-03-09_final.stac-item
2023-04-18 11:42:11	ga_s2bm_ard_3-2-1_51KWB_2023-04-18_final.stac-item
2023-06-13 12:05:46	ga_s2bm_ard_3-2-1_50JKP_2023-06-13_final.stac-item
2023-06-24 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-06-24_final.stac-item
2023-07-07 11:43:09	ga_s2bm_ard_3-2-1_51KTU_2023-07-07_final.stac-item
2023-08-06 11:42:32	ga_s2bm_ard_3-2-1_51KVA_2023-08-06_final.stac-item
2023-09-28 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-09-28_final.stac-item
2023-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2023-10-08_final.stac-item
2023-10-25 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2023-10-25_final.stac-item
2023-11-04 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-11-04_final.stac-item
2023-11-14 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2023-11-14_final.stac-item
2023-12-21 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-12-21_final.stac-item
2024-01-19 12:03:43	ga_s2bm_ard_3-2-1_50KKB_2024-01-19_final.stac-item
2024-02-15 11:53:12	ga_s2bm_ard_3-2-1_50KRC_2024-02-15_final.stac-item
2024-03-03 11:43:15	ga_s2bm_ard_3-2-1_50KRC_2024-03-03_final.stac-item
2024-03-10 11:36:01	ga_s2bm_ard_3-2-1_50JQM_2024-03-10_final.stac-item
2024-04-18 12:04:47	ga_s2bm_ard_3-2-1_49JGN_2024-04-18_final.stac-item
2024-05-18 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2024-05-18_nrt.stac-item
2024-05-19 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2024-05-19_nrt.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