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
2017-10-05 12:13:06	ga_s2bm_ard_3-2-1_50KKB_2017-10-05_final
2017-11-02 11:30:27	ga_s2bm_ard_3-2-1_51KVR_2017-11-02_final
2017-12-22 11:27:17	ga_s2bm_ard_3-2-1_51KWQ_2017-12-22_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51HTC_2017-12-29_final
2018-02-26 11:49:11	ga_s2bm_ard_3-2-1_50JLM_2018-02-26_final
2018-03-19 11:20:54	ga_s2bm_ard_3-2-1_51LYC_2018-03-19_final
2018-04-25 11:07:11	ga_s2bm_ard_3-2-1_51KZR_2018-04-25_final
2018-06-03 11:40:10	ga_s2bm_ard_3-2-1_51KTT_2018-06-03_final
2018-08-16 11:21:49	ga_s2bm_ard_3-2-1_51KYS_2018-08-16_final
2018-09-04 11:52:51	ga_s2bm_ard_3-2-1_50JKM_2018-09-04_final
2018-10-18 11:32:25	ga_s2bm_ard_3-2-1_51KXR_2018-10-18_final
2018-12-07 11:33:17	ga_s2bm_ard_3-2-1_51KUT_2018-12-07_final
2019-01-13 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2019-01-13_final
2019-02-25 11:33:22	ga_s2bm_ard_3-2-1_51KXS_2019-02-25_final
2019-03-21 11:13:54	ga_s2bm_ard_3-2-1_51KZQ_2019-03-21_final
2019-03-31 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2019-03-31_final
2019-04-19 11:42:34	ga_s2bm_ard_3-2-1_51KVA_2019-04-19_final
2019-05-03 11:23:46	ga_s2bm_ard_3-2-1_51KYR_2019-05-03_final
2019-06-08 11:42:29	ga_s2bm_ard_3-2-1_51KWA_2019-06-08_final
2019-07-21 11:57:03	ga_s2bm_ard_3-2-1_50HLJ_2019-07-21_final
2019-08-11 11:23:46	ga_s2bm_ard_3-2-1_51KYR_2019-08-11_final
2019-08-15 11:03:23	ga_s2bm_ard_3-2-1_52KFB_2019-08-15_final
2019-08-18 11:10:43	ga_s2bm_ard_3-2-1_52LHM_2019-08-18_final
2019-08-28 11:13:52	ga_s2bm_ard_3-2-1_52KDV_2019-08-28_final
2019-09-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2019-09-10_final
2019-09-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-09-30_final
2019-12-13 11:04:12	ga_s2bm_ard_3-2-1_52JET_2019-12-13_final
2020-01-28 11:23:13	ga_s2bm_ard_3-2-1_52KBB_2020-01-28_final
2020-01-31 11:32:33	ga_s2bm_ard_3-2-1_51KXV_2020-01-31_final
2020-02-04 11:12:31	ga_s2bm_ard_3-2-1_52KCE_2020-02-04_final
2020-02-10 11:33:36	ga_s2bm_ard_3-2-1_51KWR_2020-02-10_final
2020-03-11 11:33:36	ga_s2bm_ard_3-2-1_51KXR_2020-03-11_final
2020-04-14 11:15:58	ga_s2bm_ard_3-2-1_52JCL_2020-04-14_final
2020-04-20 11:34:44	ga_s2bm_ard_3-2-1_51JTM_2020-04-20_final
2020-05-09 12:04:11	ga_s2bm_ard_3-2-1_50KKV_2020-05-09_final
2020-06-13 11:13:36	ga_s2bm_ard_3-2-1_52KDA_2020-06-13_final
2020-06-26 11:23:24	ga_s2bm_ard_3-2-1_51KZS_2020-06-26_final
2020-06-26 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2020-06-26_final
2020-06-28 12:03:47	ga_s2bm_ard_3-2-1_50KKB_2020-06-28_final
2020-06-29 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-06-29_final
2020-06-29 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2020-06-29_final
2020-07-02 11:43:49	ga_s2bm_ard_3-2-1_51KTR_2020-07-02_final
2020-08-11 11:45:18	ga_s2bm_ard_3-2-1_51JTK_2020-08-11_final
2020-09-01 11:13:25	ga_s2bm_ard_3-2-1_52KCB_2020-09-01_final
2020-09-04 11:24:07	ga_s2bm_ard_3-2-1_51KZP_2020-09-04_final
2020-09-07 11:33:33	ga_s2bm_ard_3-2-1_51KVS_2020-09-07_final
2020-10-27 11:33:51	ga_s2bm_ard_3-2-1_51KUR_2020-10-27_final
2021-01-02 11:23:23	ga_s2bm_ard_3-2-1_51KYS_2021-01-02_final
2021-01-05 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2021-01-05_final
2021-01-26 11:03:09	ga_s2bm_ard_3-2-1_52KHB_2021-01-26_final
2021-02-09 10:45:46	ga_s2bm_ard_3-2-1_52JGM_2021-02-09_final
2021-03-09 11:41:54	ga_s2bm_ard_3-2-1_51LWC_2021-03-09_final
2021-04-05 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2021-04-05_final
2021-04-22 11:23:33	ga_s2bm_ard_3-2-1_51KYR_2021-04-22_final
2021-05-09 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2021-05-09_final
2021-06-21 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-06-21_final
2021-07-17 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2021-07-17_final
2021-08-19 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2021-08-19_final
2021-09-06 11:13:48	ga_s2bm_ard_3-2-1_52KCV_2021-09-06_final
2021-09-23 11:03:32	ga_s2bm_ard_3-2-1_52KEA_2021-09-23_final
2021-10-13 11:03:36	ga_s2bm_ard_3-2-1_52KEA_2021-10-13_final
2021-10-15 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2021-10-15_final
2021-10-27 10:46:07	ga_s2bm_ard_3-2-1_53HME_2021-10-27_final
2021-11-05 11:13:55	ga_s2bm_ard_3-2-1_51KZQ_2021-11-05_final
2021-11-28 11:23:35	ga_s2bm_ard_3-2-1_51KYR_2021-11-28_final
2021-12-08 11:23:34	ga_s2bm_ard_3-2-1_51KYR_2021-12-08_final
2021-12-15 11:13:09	ga_s2bm_ard_3-2-1_52KEB_2021-12-15_final
2022-01-17 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2022-01-17_final
2022-03-03 12:13:36	ga_s2bm_ard_3-2-1_50KKB_2022-03-03_final
2022-05-20 11:33:30	ga_s2bm_ard_3-2-1_51KVS_2022-05-20_final
2022-06-02 11:41:55	ga_s2bm_ard_3-2-1_51LWC_2022-06-02_final
2022-06-19 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2022-06-19_final
2022-06-22 11:43:08	ga_s2bm_ard_3-2-1_51KTU_2022-06-22_final
2022-07-10 11:03:03	ga_s2bm_ard_3-2-1_52KGC_2022-07-10_final
2022-07-30 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2022-07-30_final
2022-09-07 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2022-09-07_final.stac-item
2022-10-07 11:34:08	ga_s2bm_ard_3-2-1_51KWP_2022-10-07_final.stac-item
2022-10-11 11:15:31	ga_s2bm_ard_3-2-1_52JCN_2022-10-11_final.stac-item
2022-10-30 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-10-30_final.stac-item
2022-10-31 11:11:35	ga_s2bm_ard_3-2-1_52LDJ_2022-10-31_final.stac-item
2022-11-13 11:21:46	ga_s2bm_ard_3-2-1_51LZC_2022-11-13_final.stac-item
2022-11-14 10:55:41	ga_s2bm_ard_3-2-1_52JGM_2022-11-14_final.stac-item
2022-11-20 11:13:36	ga_s2bm_ard_3-2-1_52KCA_2022-11-20_final.stac-item
2022-12-23 11:23:22	ga_s2bm_ard_3-2-1_51KYS_2022-12-23_final.stac-item
2023-02-17 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2023-02-17_final.stac-item
2023-03-26 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-26_final.stac-item
2023-04-29 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-04-29_final.stac-item
2023-05-22 11:23:40	ga_s2bm_ard_3-2-1_52KBA_2023-05-22_final.stac-item
2023-06-08 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-08_final.stac-item
2023-07-01 11:22:47	ga_s2bm_ard_3-2-1_51KYV_2023-07-01_final.stac-item
2023-07-11 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-07-11_final.stac-item
2023-08-02 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2023-08-02_final.stac-item
2023-09-02 11:36:51	ga_s2bm_ard_3-2-1_51HTD_2023-09-02_final.stac-item
2023-09-13 11:05:16	ga_s2bm_ard_3-2-1_52JCQ_2023-09-13_final.stac-item
2023-12-01 11:33:35	ga_s2bm_ard_3-2-1_51KXR_2023-12-01_final.stac-item
2024-01-25 10:46:05	ga_s2bm_ard_3-2-1_53HME_2024-01-25_final.stac-item
2024-01-26 11:55:01	ga_s2bm_ard_3-2-1_50JPR_2024-01-26_final.stac-item
2024-01-30 11:33:00	ga_s2bm_ard_3-2-1_51KYT_2024-01-30_final.stac-item
2024-03-14 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2024-03-14_final.stac-item
2024-03-27 11:23:14	ga_s2bm_ard_3-2-1_51KXT_2024-03-27_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