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
2017-10-04 11:02:43	ga_s2bm_ard_3-2-1_52JBL_2017-10-04_final
2017-11-02 11:35:51	ga_s2bm_ard_3-2-1_50HPH_2017-11-02_final
2017-12-29 11:16:48	ga_s2bm_ard_3-2-1_51JZM_2017-12-29_final
2018-01-21 11:30:33	ga_s2bm_ard_3-2-1_51JVG_2018-01-21_final
2018-01-28 11:19:38	ga_s2bm_ard_3-2-1_52KCC_2018-01-28_final
2018-02-07 11:16:52	ga_s2bm_ard_3-2-1_51HUC_2018-02-07_final
2018-02-20 11:27:22	ga_s2bm_ard_3-2-1_50HPK_2018-02-20_final
2018-02-27 11:21:10	ga_s2bm_ard_3-2-1_51JYJ_2018-02-27_final
2018-03-10 10:47:15	ga_s2bm_ard_3-2-1_52JHS_2018-03-10_final
2018-03-22 11:29:32	ga_s2bm_ard_3-2-1_51KVR_2018-03-22_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KWR_2018-05-21_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_51KWU_2018-05-31_final
2018-06-07 11:19:54	ga_s2bm_ard_3-2-1_51JXM_2018-06-07_final
2018-06-10 11:28:17	ga_s2bm_ard_3-2-1_51KYT_2018-06-10_final
2018-07-26 11:52:57	ga_s2bm_ard_3-2-1_50HMH_2018-07-26_final
2018-08-26 11:17:49	ga_s2bm_ard_3-2-1_51KYU_2018-08-26_final
2018-09-07 12:02:58	ga_s2bm_ard_3-2-1_49JGK_2018-09-07_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JGR_2018-10-09_final
2018-11-10 11:43:09	ga_s2bm_ard_3-2-1_51KVT_2018-11-10_final
2018-11-11 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2018-11-11_final
2018-12-13 11:56:07	ga_s2bm_ard_3-2-1_50JKM_2018-12-13_final
2019-02-02 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-02-02_final
2019-02-02 11:23:25	ga_s2bm_ard_3-2-1_51KYS_2019-02-02_final
2019-02-15 11:33:37	ga_s2bm_ard_3-2-1_51KUS_2019-02-15_final
2019-03-23 11:54:33	ga_s2bm_ard_3-2-1_50JPT_2019-03-23_final
2019-04-12 11:53:40	ga_s2bm_ard_3-2-1_50KPB_2019-04-12_final
2019-06-07 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2019-06-07_final
2019-06-08 11:44:56	ga_s2bm_ard_3-2-1_50JQS_2019-06-08_final
2019-08-21 11:23:27	ga_s2bm_ard_3-2-1_51KZS_2019-08-21_final
2019-09-13 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2019-09-13_final
2019-10-16 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2019-10-16_final
2019-12-16 11:14:26	ga_s2bm_ard_3-2-1_52JDS_2019-12-16_final
2020-01-08 11:22:04	ga_s2bm_ard_3-2-1_51KZB_2020-01-08_final
2020-02-14 11:12:48	ga_s2bm_ard_3-2-1_52KCD_2020-02-14_final
2020-02-17 11:23:17	ga_s2bm_ard_3-2-1_51KZS_2020-02-17_final
2020-02-19 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2020-02-19_final
2020-03-01 11:31:46	ga_s2bm_ard_3-2-1_51LZC_2020-03-01_final
2020-03-02 11:04:53	ga_s2bm_ard_3-2-1_52JCR_2020-03-02_final
2020-03-14 11:41:53	ga_s2bm_ard_3-2-1_51LWC_2020-03-14_final
2020-04-19 12:05:16	ga_s2bm_ard_3-2-1_50JKQ_2020-04-19_final
2020-05-16 11:53:10	ga_s2bm_ard_3-2-1_50KRC_2020-05-16_final
2020-06-19 11:33:01	ga_s2bm_ard_3-2-1_51KWU_2020-06-19_final
2020-06-22 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2020-06-22_final
2020-07-03 11:13:53	ga_s2bm_ard_3-2-1_52KCV_2020-07-03_final
2020-08-21 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2020-08-21_final
2020-08-22 11:13:44	ga_s2bm_ard_3-2-1_51KZR_2020-08-22_final
2020-09-01 11:13:07	ga_s2bm_ard_3-2-1_52KDC_2020-09-01_final
2020-09-24 11:23:13	ga_s2bm_ard_3-2-1_51KYT_2020-09-24_final
2020-12-10 11:13:49	ga_s2bm_ard_3-2-1_52KCV_2020-12-10_final
2021-01-02 11:23:19	ga_s2bm_ard_3-2-1_52KBB_2021-01-02_final
2021-01-15 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2021-01-15_final
2021-01-25 11:32:58	ga_s2bm_ard_3-2-1_51KWU_2021-01-25_final
2021-03-19 11:42:20	ga_s2bm_ard_3-2-1_51KWA_2021-03-19_final
2021-03-23 11:23:09	ga_s2bm_ard_3-2-1_51KYT_2021-03-23_final
2021-04-18 11:42:58	ga_s2bm_ard_3-2-1_51KTU_2021-04-18_final
2021-04-19 11:13:49	ga_s2bm_ard_3-2-1_52KBV_2021-04-19_final
2021-04-22 11:23:19	ga_s2bm_ard_3-2-1_51KYS_2021-04-22_final
2021-04-25 11:33:33	ga_s2bm_ard_3-2-1_51KXR_2021-04-25_final
2021-06-03 12:04:22	ga_s2bm_ard_3-2-1_50KKU_2021-06-03_final
2021-06-10 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2021-06-10_final
2021-06-17 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2021-06-17_final
2021-06-18 11:13:55	ga_s2bm_ard_3-2-1_52KBV_2021-06-18_final
2021-06-20 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2021-06-20_final
2021-07-01 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2021-07-01_final
2021-08-10 11:23:24	ga_s2bm_ard_3-2-1_52KBB_2021-08-10_final
2021-09-12 11:32:51	ga_s2bm_ard_3-2-1_51KXU_2021-09-12_final
2021-10-17 10:46:01	ga_s2bm_ard_3-2-1_52JGL_2021-10-17_final
2021-10-21 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2021-10-21_final
2021-11-01 11:33:03	ga_s2bm_ard_3-2-1_51KYT_2021-11-01_final
2021-11-08 11:26:26	ga_s2bm_ard_3-2-1_51HWE_2021-11-08_final
2021-11-21 11:32:55	ga_s2bm_ard_3-2-1_51KWU_2021-11-21_final
2021-12-10 12:03:21	ga_s2bm_ard_3-2-1_50KLC_2021-12-10_final
2021-12-21 11:32:53	ga_s2bm_ard_3-2-1_51KWU_2021-12-21_final
2022-01-17 11:23:12	ga_s2bm_ard_3-2-1_52KCB_2022-01-17_final
2022-02-13 11:14:10	ga_s2bm_ard_3-2-1_51KZP_2022-02-13_final
2022-04-10 11:33:09	ga_s2bm_ard_3-2-1_51KWT_2022-04-10_final
2022-05-18 10:55:31	ga_s2bm_ard_3-2-1_52JFN_2022-05-18_final
2022-05-23 11:44:20	ga_s2bm_ard_3-2-1_50KQU_2022-05-23_final
2022-05-29 12:04:57	ga_s2bm_ard_3-2-1_49JHM_2022-05-29_final
2022-07-03 11:13:59	ga_s2bm_ard_3-2-1_51KZQ_2022-07-03_final
2022-08-02 11:14:46	ga_s2bm_ard_3-2-1_51JYM_2022-08-02_final
2022-08-05 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2022-08-05_final
2022-10-01 11:13:39	ga_s2bm_ard_3-2-1_52KBA_2022-10-01_final.stac-item
2022-10-20 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-10-20_final.stac-item
2022-11-03 11:23:33	ga_s2bm_ard_3-2-1_52KBA_2022-11-03_final.stac-item
2022-12-06 11:33:06	ga_s2bm_ard_3-2-1_51KXT_2022-12-06_final.stac-item
2022-12-23 11:23:27	ga_s2bm_ard_3-2-1_51KZS_2022-12-23_final.stac-item
2022-12-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-12-26_final.stac-item
2023-01-02 11:23:17	ga_s2bm_ard_3-2-1_51KYS_2023-01-02_final.stac-item
2023-01-09 11:13:36	ga_s2bm_ard_3-2-1_52KBA_2023-01-09_final.stac-item
2023-01-09 11:14:17	ga_s2bm_ard_3-2-1_52JCT_2023-01-09_final.stac-item
2023-06-07 11:42:26	ga_s2bm_ard_3-2-1_51KWA_2023-06-07_final.stac-item
2023-06-20 11:54:41	ga_s2bm_ard_3-2-1_50JNT_2023-06-20_final.stac-item
2023-06-24 11:33:46	ga_s2bm_ard_3-2-1_51KWR_2023-06-24_final.stac-item
2023-08-30 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2023-08-30_final.stac-item
2023-10-22 11:33:47	ga_s2bm_ard_3-2-1_51KVR_2023-10-22_final.stac-item
2024-01-20 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2024-01-20_final.stac-item
2024-02-20 11:05:27	ga_s2bm_ard_3-2-1_52JFN_2024-02-20_final.stac-item
2024-03-07 11:22:13	ga_s2bm_ard_3-2-1_52KCF_2024-03-07_final.stac-item
2024-04-18 12:05:56	ga_s2bm_ard_3-2-1_50JKN_2024-04-18_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