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
2017-07-12 11:20:57	ga_s2bm_ard_3-2-1_52KBV_2017-07-12_final
2018-01-15 11:07:04	ga_s2bm_ard_3-2-1_52LEJ_2018-01-15_final
2018-03-02 11:33:20	ga_s2bm_ard_3-2-1_51JVN_2018-03-02_final
2018-03-14 12:13:13	ga_s2bm_ard_3-2-1_50KKB_2018-03-14_final
2018-05-30 12:02:46	ga_s2bm_ard_3-2-1_50KNB_2018-05-30_final
2018-06-03 11:46:44	ga_s2bm_ard_3-2-1_50HLH_2018-06-03_final
2018-06-30 11:33:25	ga_s2bm_ard_3-2-1_51KVR_2018-06-30_final
2018-07-27 11:23:26	ga_s2bm_ard_3-2-1_51JXJ_2018-07-27_final
2018-08-19 11:32:18	ga_s2bm_ard_3-2-1_51KWR_2018-08-19_final
2018-09-28 11:30:45	ga_s2bm_ard_3-2-1_51JWN_2018-09-28_final
2018-11-16 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2018-11-16_final
2018-12-31 11:13:26	ga_s2bm_ard_3-2-1_51KZS_2018-12-31_final
2019-01-07 11:04:35	ga_s2bm_ard_3-2-1_52JFR_2019-01-07_final
2019-01-16 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2019-01-16_final
2019-01-26 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-01-26_final
2019-02-05 11:32:40	ga_s2bm_ard_3-2-1_51KXV_2019-02-05_final
2019-02-07 12:15:20	ga_s2bm_ard_3-2-1_49JGK_2019-02-07_final
2019-02-18 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2019-02-18_final
2019-03-23 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2019-03-23_final
2019-04-09 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2019-04-09_final
2019-06-22 11:24:37	ga_s2bm_ard_3-2-1_51JWN_2019-06-22_final
2019-06-22 11:26:55	ga_s2bm_ard_3-2-1_51HUD_2019-06-22_final
2019-06-29 11:14:00	ga_s2bm_ard_3-2-1_52KCV_2019-06-29_final
2019-07-15 11:33:50	ga_s2bm_ard_3-2-1_51KWR_2019-07-15_final
2019-09-23 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2019-09-23_final
2019-10-13 11:33:17	ga_s2bm_ard_3-2-1_51KVT_2019-10-13_final
2019-10-22 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2019-10-22_final
2019-12-11 12:03:21	ga_s2bm_ard_3-2-1_50KLC_2019-12-11_final
2020-04-12 12:15:07	ga_s2bm_ard_3-2-1_49JGL_2020-04-12_final
2020-07-28 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2020-07-28_final
2020-08-21 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2020-08-21_final
2020-09-10 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2020-09-10_final
2020-10-04 11:23:39	ga_s2bm_ard_3-2-1_51KZR_2020-10-04_final
2020-10-16 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2020-10-16_final
2020-10-18 11:03:23	ga_s2bm_ard_3-2-1_52KEB_2020-10-18_final
2020-11-02 11:56:14	ga_s2bm_ard_3-2-1_50JLM_2020-11-02_final
2020-11-19 11:42:46	ga_s2bm_ard_3-2-1_51KUV_2020-11-19_final
2020-12-30 11:11:28	ga_s2bm_ard_3-2-1_52LEJ_2020-12-30_final
2021-01-13 10:52:44	ga_s2bm_ard_3-2-1_52KHD_2021-01-13_final
2021-02-10 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2021-02-10_final
2021-03-04 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2021-03-04_final
2021-05-08 11:46:17	ga_s2bm_ard_3-2-1_50JPL_2021-05-08_final
2021-05-11 11:53:19	ga_s2bm_ard_3-2-1_50KPC_2021-05-11_final
2021-05-12 11:24:03	ga_s2bm_ard_3-2-1_51KZP_2021-05-12_final
2021-07-05 11:04:34	ga_s2bm_ard_3-2-1_52JES_2021-07-05_final
2021-07-28 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2021-07-28_final
2021-08-27 11:15:05	ga_s2bm_ard_3-2-1_52JBQ_2021-08-27_final
2021-08-29 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2021-08-29_final
2021-09-13 11:04:32	ga_s2bm_ard_3-2-1_52JGR_2021-09-13_final
2021-09-23 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2021-09-23_final
2021-10-12 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2021-10-12_final
2021-10-20 10:55:00	ga_s2bm_ard_3-2-1_52JGQ_2021-10-20_final
2021-11-08 11:26:05	ga_s2bm_ard_3-2-1_51JUG_2021-11-08_final
2021-11-18 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2021-11-18_final
2021-11-22 11:03:49	ga_s2bm_ard_3-2-1_52KFU_2021-11-22_final
2021-12-18 11:23:29	ga_s2bm_ard_3-2-1_52KBA_2021-12-18_final
2021-12-18 11:26:48	ga_s2bm_ard_3-2-1_51HWC_2021-12-18_final.stac-item
2021-12-27 11:55:55	ga_s2bm_ard_3-2-1_50JKN_2021-12-27_final
2022-01-13 11:42:38	ga_s2bm_ard_3-2-1_51KVV_2022-01-13_final
2022-02-01 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2022-02-01_final
2022-02-09 11:33:28	ga_s2bm_ard_3-2-1_51KUS_2022-02-09_final
2022-02-18 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2022-02-18_final
2022-03-02 11:05:23	ga_s2bm_ard_3-2-1_52JFN_2022-03-02_final
2022-03-11 11:31:16	ga_s2bm_ard_3-2-1_52LBK_2022-03-11_final
2022-03-25 11:12:03	ga_s2bm_ard_3-2-1_52KDG_2022-03-25_final
2022-04-06 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2022-04-06_final
2022-04-10 11:36:20	ga_s2bm_ard_3-2-1_51HVE_2022-04-10_final
2022-04-28 10:55:39	ga_s2bm_ard_3-2-1_52JFM_2022-04-28_final
2022-06-02 11:42:13	ga_s2bm_ard_3-2-1_51KVB_2022-06-02_final
2022-06-03 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2022-06-03_final
2022-06-17 10:55:35	ga_s2bm_ard_3-2-1_52JFN_2022-06-17_final
2022-06-21 12:13:44	ga_s2bm_ard_3-2-1_50KKB_2022-06-21_final
2022-07-16 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2022-07-16_final
2022-07-19 11:34:19	ga_s2bm_ard_3-2-1_51KVP_2022-07-19_final
2022-08-12 11:13:51	ga_s2bm_ard_3-2-1_52KDV_2022-08-12_final
2022-08-26 10:55:42	ga_s2bm_ard_3-2-1_52JGM_2022-08-26_final
2022-10-04 11:23:41	ga_s2bm_ard_3-2-1_51KXR_2022-10-04_final.stac-item
2022-10-14 11:26:39	ga_s2bm_ard_3-2-1_51HWD_2022-10-14_final.stac-item
2022-12-09 11:47:17	ga_s2bm_ard_3-2-1_50HNG_2022-12-09_final.stac-item
2022-12-26 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-12-26_final.stac-item
2023-03-20 11:15:07	ga_s2bm_ard_3-2-1_52JCQ_2023-03-20_final.stac-item
2023-03-26 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-03-26_final.stac-item
2023-04-05 11:33:48	ga_s2bm_ard_3-2-1_51KVR_2023-04-05_final.stac-item
2023-05-02 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2023-05-02_final.stac-item
2023-05-12 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2023-05-12_final.stac-item
2023-07-14 11:36:31	ga_s2bm_ard_3-2-1_50JPL_2023-07-14_final.stac-item
2023-08-05 12:14:46	ga_s2bm_ard_3-2-1_49JGN_2023-08-05_final.stac-item
2023-08-22 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2023-08-22_final.stac-item
2023-09-18 11:55:06	ga_s2bm_ard_3-2-1_50JPR_2023-09-18_final.stac-item
2023-10-08 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2023-10-08_final.stac-item
2023-12-03 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-12-03_final.stac-item
2023-12-10 12:05:51	ga_s2bm_ard_3-2-1_50JKN_2023-12-10_final.stac-item
2023-12-30 12:04:26	ga_s2bm_ard_3-2-1_50KLU_2023-12-30_final.stac-item
2024-01-14 11:13:43	ga_s2bm_ard_3-2-1_52KEV_2024-01-14_final.stac-item
2024-01-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2024-01-20_final.stac-item
2024-02-19 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2024-02-19_final.stac-item
2024-03-14 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2024-03-14_final.stac-item
2024-03-20 11:37:16	ga_s2bm_ard_3-2-1_50HQG_2024-03-20_final.stac-item
2024-04-20 11:02:27	ga_s2bm_ard_3-2-1_52KHE_2024-04-20_final.stac-item
2024-04-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-04-22_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