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
2017-09-04 11:02:04	ga_s2bm_ard_3-2-1_52KHE_2017-09-04_final
2017-11-05 11:37:39	ga_s2bm_ard_3-2-1_51KWB_2017-11-05_final
2017-12-25 11:46:02	ga_s2bm_ard_3-2-1_50JPL_2017-12-25_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52KGC_2018-02-01_final
2018-04-07 11:53:07	ga_s2bm_ard_3-2-1_50JLL_2018-04-07_final
2018-04-24 11:41:02	ga_s2bm_ard_3-2-1_50HNJ_2018-04-24_final
2018-05-01 11:27:31	ga_s2bm_ard_3-2-1_51LZE_2018-05-01_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KUR_2018-06-10_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KXS_2018-06-10_final
2018-06-10 11:33:45	ga_s2bm_ard_3-2-1_51HTC_2018-06-10_final
2018-06-20 11:34:51	ga_s2bm_ard_3-2-1_51HUC_2018-06-20_final
2018-08-09 11:30:50	ga_s2bm_ard_3-2-1_51KWA_2018-08-09_final
2018-10-21 11:45:13	ga_s2bm_ard_3-2-1_50JQL_2018-10-21_final
2018-10-28 11:31:46	ga_s2bm_ard_3-2-1_51KVS_2018-10-28_final
2018-11-20 11:42:10	ga_s2bm_ard_3-2-1_51KVB_2018-11-20_final
2019-02-03 10:53:00	ga_s2bm_ard_3-2-1_52KHC_2019-02-03_final
2019-03-27 11:33:39	ga_s2bm_ard_3-2-1_51KXR_2019-03-27_final
2019-04-16 11:36:54	ga_s2bm_ard_3-2-1_50HQJ_2019-04-16_final
2019-06-25 11:32:56	ga_s2bm_ard_3-2-1_51KWV_2019-06-25_final
2019-07-01 11:56:05	ga_s2bm_ard_3-2-1_50JLN_2019-07-01_final
2019-07-12 11:25:51	ga_s2bm_ard_3-2-1_51JWH_2019-07-12_final
2019-07-28 11:46:57	ga_s2bm_ard_3-2-1_50HQJ_2019-07-28_final
2019-07-29 11:14:31	ga_s2bm_ard_3-2-1_52JBT_2019-07-29_final
2019-09-02 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2019-09-02_final
2019-12-02 11:31:51	ga_s2bm_ard_3-2-1_51LXC_2019-12-02_final
2019-12-29 11:22:47	ga_s2bm_ard_3-2-1_52KBD_2019-12-29_final
2020-02-07 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2020-02-07_final
2020-04-20 11:32:15	ga_s2bm_ard_3-2-1_51KVB_2020-04-20_final
2020-06-06 11:24:17	ga_s2bm_ard_3-2-1_51KWP_2020-06-06_final
2020-06-19 11:33:44	ga_s2bm_ard_3-2-1_51KWR_2020-06-19_final
2020-06-22 11:42:30	ga_s2bm_ard_3-2-1_51KVA_2020-06-22_final
2020-06-29 11:33:36	ga_s2bm_ard_3-2-1_51KUS_2020-06-29_final
2020-07-02 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2020-07-02_final
2020-08-04 11:53:18	ga_s2bm_ard_3-2-1_50KQC_2020-08-04_final
2020-09-01 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2020-09-01_final
2020-09-14 11:23:51	ga_s2bm_ard_3-2-1_52KBV_2020-09-14_final
2020-09-17 11:32:16	ga_s2bm_ard_3-2-1_51KWB_2020-09-17_final
2020-09-20 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2020-09-20_final
2020-09-20 11:47:19	ga_s2bm_ard_3-2-1_50HPG_2020-09-20_final.stac-item
2020-09-28 11:03:30	ga_s2bm_ard_3-2-1_52KGA_2020-09-28_final
2020-11-06 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2020-11-06_final
2020-11-07 11:03:15	ga_s2bm_ard_3-2-1_52KGB_2020-11-07_final
2021-02-02 10:55:56	ga_s2bm_ard_3-2-1_52JGL_2021-02-02_final
2021-02-04 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2021-02-04_final
2021-02-14 11:33:54	ga_s2bm_ard_3-2-1_51KWQ_2021-02-14_final
2021-03-22 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-03-22_final
2021-04-12 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2021-04-12_final
2021-04-16 11:04:57	ga_s2bm_ard_3-2-1_52JEQ_2021-04-16_final
2021-04-24 12:05:59	ga_s2bm_ard_3-2-1_50JLM_2021-04-24_final
2021-05-25 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2021-05-25_final
2021-07-03 12:04:43	ga_s2bm_ard_3-2-1_50JKT_2021-07-03_final
2021-07-14 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2021-07-14_final
2021-09-09 11:23:46	ga_s2bm_ard_3-2-1_51KZQ_2021-09-09_final
2021-09-13 11:05:01	ga_s2bm_ard_3-2-1_52JDQ_2021-09-13_final
2021-10-31 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2021-10-31_final
2021-11-27 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2021-11-27_final
2021-12-08 11:23:15	ga_s2bm_ard_3-2-1_52KBB_2021-12-08_final
2021-12-09 10:53:52	ga_s2bm_ard_3-2-1_52KHU_2021-12-09_final
2022-01-09 12:04:09	ga_s2bm_ard_3-2-1_49KHQ_2022-01-09_final
2022-01-19 12:04:26	ga_s2bm_ard_3-2-1_49KGP_2022-01-19_final
2022-01-23 11:42:59	ga_s2bm_ard_3-2-1_50KRD_2022-01-23_final
2022-04-03 11:41:29	ga_s2bm_ard_3-2-1_51LUE_2022-04-03_final
2022-04-10 11:33:38	ga_s2bm_ard_3-2-1_51KWR_2022-04-10_final
2022-04-27 11:25:21	ga_s2bm_ard_3-2-1_51JWJ_2022-04-27_final
2022-05-21 11:04:17	ga_s2bm_ard_3-2-1_52JGT_2022-05-21_final
2022-06-15 11:56:03	ga_s2bm_ard_3-2-1_50JKN_2022-06-15_final
2022-06-29 11:35:06	ga_s2bm_ard_3-2-1_51JUL_2022-06-29_final
2022-07-30 11:05:39	ga_s2bm_ard_3-2-1_52JDN_2022-07-30_final
2022-08-08 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2022-08-08_final
2022-08-14 11:56:02	ga_s2bm_ard_3-2-1_50JKN_2022-08-14_final
2022-08-15 11:27:05	ga_s2bm_ard_3-2-1_51HUC_2022-08-15_final
2022-08-21 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2022-08-21_final
2022-08-22 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2022-08-22_final
2022-09-24 11:23:26	ga_s2bm_ard_3-2-1_51KYS_2022-09-24_final.stac-item
2022-10-01 11:11:58	ga_s2bm_ard_3-2-1_52KFG_2022-10-01_final.stac-item
2022-10-11 11:14:22	ga_s2bm_ard_3-2-1_51JZN_2022-10-11_final.stac-item
2022-11-12 11:56:19	ga_s2bm_ard_3-2-1_50JLL_2022-11-12_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-04_final.stac-item
2023-01-06 11:04:30	ga_s2bm_ard_3-2-1_52JES_2023-01-06_final.stac-item
2023-01-08 11:43:22	ga_s2bm_ard_3-2-1_51KVS_2023-01-08_final.stac-item
2023-02-14 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2023-02-14_final.stac-item
2023-02-24 11:34:36	ga_s2bm_ard_3-2-1_51JTN_2023-02-24_final.stac-item
2023-03-05 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2023-03-05_final.stac-item
2023-03-23 11:23:45	ga_s2bm_ard_3-2-1_51KXR_2023-03-23_final.stac-item
2023-04-18 11:42:29	ga_s2bm_ard_3-2-1_51KVA_2023-04-18_final.stac-item
2023-04-27 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2023-04-27_final.stac-item
2023-05-29 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-05-29_final.stac-item
2023-06-11 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-06-11_final.stac-item
2023-06-27 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2023-06-27_final.stac-item
2023-07-23 12:05:06	ga_s2bm_ard_3-2-1_49JGM_2023-07-23_final.stac-item
2023-09-05 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-09-05_final.stac-item
2023-11-01 11:36:45	ga_s2bm_ard_3-2-1_51HUD_2023-11-01_final.stac-item
2023-11-14 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2023-11-14_final.stac-item
2024-01-04 11:16:31	ga_s2bm_ard_3-2-1_51HWE_2024-01-04_final.stac-item
2024-01-30 11:31:54	ga_s2bm_ard_3-2-1_51LXC_2024-01-30_final.stac-item
2024-02-02 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2024-02-02_final.stac-item
2024-03-06 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2024-03-06_final.stac-item
2024-04-22 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2024-04-22_final.stac-item
2024-04-23 11:15:13	ga_s2bm_ard_3-2-1_51JYK_2024-04-23_final.stac-item
2024-04-26 11:24:10	ga_s2bm_ard_3-2-1_51KXP_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