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
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52JEQ_2017-11-03_final
2017-11-25 11:37:37	ga_s2bm_ard_3-2-1_50KRU_2017-11-25_final
2018-01-05 11:07:03	ga_s2bm_ard_3-2-1_52JCT_2018-01-05_final
2018-02-01 11:02:52	ga_s2bm_ard_3-2-1_52JEP_2018-02-01_final
2018-04-05 11:11:18	ga_s2bm_ard_3-2-1_52JBQ_2018-04-05_final
2018-05-21 11:31:10	ga_s2bm_ard_3-2-1_51KXU_2018-05-21_final
2018-08-20 11:04:44	ga_s2bm_ard_3-2-1_52JEN_2018-08-20_final
2018-08-26 11:23:21	ga_s2bm_ard_3-2-1_51KYP_2018-08-26_final
2018-09-02 11:14:34	ga_s2bm_ard_3-2-1_52JCQ_2018-09-02_final
2018-09-12 11:14:23	ga_s2bm_ard_3-2-1_52JBM_2018-09-12_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51KYQ_2018-09-25_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51JXL_2018-10-15_final
2018-10-15 11:20:58	ga_s2bm_ard_3-2-1_51KZT_2018-10-15_final
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52JER_2018-10-19_final
2018-10-22 11:12:59	ga_s2bm_ard_3-2-1_52JCT_2018-10-22_final
2018-11-17 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2018-11-17_final
2019-01-10 11:16:07	ga_s2bm_ard_3-2-1_51JYF_2019-01-10_final
2019-01-25 12:04:25	ga_s2bm_ard_3-2-1_50KLU_2019-01-25_final
2019-02-09 11:15:07	ga_s2bm_ard_3-2-1_52JBQ_2019-02-09_final
2019-06-08 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-06-08_final
2019-07-19 11:16:00	ga_s2bm_ard_3-2-1_52JBM_2019-07-19_final
2019-07-29 11:15:30	ga_s2bm_ard_3-2-1_52JBP_2019-07-29_final
2019-08-07 11:43:22	ga_s2bm_ard_3-2-1_51KUT_2019-08-07_final
2019-08-21 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2019-08-21_final
2019-08-27 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2019-08-27_final
2019-09-07 11:15:38	ga_s2bm_ard_3-2-1_52JBN_2019-09-07_final
2019-09-17 11:15:03	ga_s2bm_ard_3-2-1_52JCQ_2019-09-17_final
2019-09-20 11:24:54	ga_s2bm_ard_3-2-1_51JXL_2019-09-20_final
2019-09-30 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2019-09-30_final
2019-10-10 11:23:08	ga_s2bm_ard_3-2-1_51KZT_2019-10-10_final
2019-11-13 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2019-11-13_final
2019-11-16 11:16:04	ga_s2bm_ard_3-2-1_52JBL_2019-11-16_final
2019-11-16 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2019-11-16_final
2019-11-19 11:24:53	ga_s2bm_ard_3-2-1_51JXL_2019-11-19_final
2020-01-05 11:14:32	ga_s2bm_ard_3-2-1_51JZM_2020-01-05_final
2020-01-05 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2020-01-05_final
2020-01-25 11:15:44	ga_s2bm_ard_3-2-1_52JBM_2020-01-25_final
2020-03-11 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2020-03-11_final
2020-03-12 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2020-03-12_final
2020-03-21 11:32:56	ga_s2bm_ard_3-2-1_51KWU_2020-03-21_final
2020-04-01 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2020-04-01_final
2020-04-20 11:34:56	ga_s2bm_ard_3-2-1_51JUL_2020-04-20_final
2020-05-07 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2020-05-07_final
2020-07-06 11:23:12	ga_s2bm_ard_3-2-1_51KYT_2020-07-06_final
2020-07-16 11:23:11	ga_s2bm_ard_3-2-1_51KYT_2020-07-16_final
2020-10-24 11:23:43	ga_s2bm_ard_3-2-1_51KYR_2020-10-24_final
2020-11-10 11:14:54	ga_s2bm_ard_3-2-1_52JBR_2020-11-10_final
2021-01-15 11:32:54	ga_s2bm_ard_3-2-1_51KXU_2021-01-15_final
2021-02-04 11:35:47	ga_s2bm_ard_3-2-1_51JTH_2021-02-04_final
2021-03-27 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2021-03-27_final
2021-03-27 11:05:47	ga_s2bm_ard_3-2-1_52JDM_2021-03-27_final
2021-04-06 11:05:28	ga_s2bm_ard_3-2-1_52JEN_2021-04-06_final
2021-06-05 11:05:49	ga_s2bm_ard_3-2-1_52JDM_2021-06-05_final
2021-07-04 11:31:26	ga_s2bm_ard_3-2-1_51LYE_2021-07-04_final
2021-09-06 11:15:04	ga_s2bm_ard_3-2-1_52JBQ_2021-09-06_final
2021-09-09 11:24:23	ga_s2bm_ard_3-2-1_51JXN_2021-09-09_final
2021-09-09 11:24:33	ga_s2bm_ard_3-2-1_51JYM_2021-09-09_final
2021-09-29 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2021-09-29_final
2021-10-23 11:04:34	ga_s2bm_ard_3-2-1_52JES_2021-10-23_final
2021-12-28 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2021-12-28_final
2022-01-01 11:06:02	ga_s2bm_ard_3-2-1_52JCL_2022-01-01_final
2022-01-07 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2022-01-07_final
2022-01-21 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2022-01-21_final
2022-01-31 11:06:00	ga_s2bm_ard_3-2-1_52JCL_2022-01-31_final
2022-02-06 11:23:48	ga_s2bm_ard_3-2-1_51KYQ_2022-02-06_final
2022-02-10 11:06:01	ga_s2bm_ard_3-2-1_52JCL_2022-02-10_final
2022-02-26 11:24:22	ga_s2bm_ard_3-2-1_51JXN_2022-02-26_final
2022-03-07 11:52:17	ga_s2bm_ard_3-2-1_50KQG_2022-03-07_final.stac-item
2022-03-15 11:15:34	ga_s2bm_ard_3-2-1_52JBN_2022-03-15_final
2022-04-27 11:23:03	ga_s2bm_ard_3-2-1_51KYT_2022-04-27_final
2022-04-27 11:26:22	ga_s2bm_ard_3-2-1_51HVE_2022-04-27_final
2022-06-03 11:15:50	ga_s2bm_ard_3-2-1_52JBM_2022-06-03_final
2022-07-10 11:05:53	ga_s2bm_ard_3-2-1_52JDM_2022-07-10_final
2022-07-16 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2022-07-16_final
2022-07-23 11:15:56	ga_s2bm_ard_3-2-1_52JBM_2022-07-23_final
2022-08-01 11:45:26	ga_s2bm_ard_3-2-1_50JPQ_2022-08-01_final
2022-08-05 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2022-08-05_final
2022-10-14 11:23:06	ga_s2bm_ard_3-2-1_51KZT_2022-10-14_final.stac-item
2022-12-30 11:15:21	ga_s2bm_ard_3-2-1_52JBP_2022-12-30_final.stac-item
2023-01-12 11:24:51	ga_s2bm_ard_3-2-1_51JXL_2023-01-12_final.stac-item
2023-02-28 11:14:21	ga_s2bm_ard_3-2-1_52JCT_2023-02-28_final.stac-item
2023-03-03 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2023-03-03_final.stac-item
2023-03-07 11:05:23	ga_s2bm_ard_3-2-1_52JDP_2023-03-07_final.stac-item
2023-03-10 11:15:11	ga_s2bm_ard_3-2-1_52JBQ_2023-03-10_final.stac-item
2023-03-13 11:24:12	ga_s2bm_ard_3-2-1_51KYP_2023-03-13_final.stac-item
2023-03-17 11:05:23	ga_s2bm_ard_3-2-1_52JDP_2023-03-17_final.stac-item
2023-04-22 11:23:56	ga_s2bm_ard_3-2-1_51KYQ_2023-04-22_final.stac-item
2023-05-22 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-05-22_final.stac-item
2023-06-24 11:33:31	ga_s2bm_ard_3-2-1_51KWS_2023-06-24_final.stac-item
2023-08-20 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-08-20_final.stac-item
2023-10-09 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2023-10-09_final.stac-item
2023-10-13 11:04:49	ga_s2bm_ard_3-2-1_52JER_2023-10-13_final.stac-item
2023-10-19 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2023-10-19_final.stac-item
2023-10-29 11:24:57	ga_s2bm_ard_3-2-1_51JXL_2023-10-29_final.stac-item
2023-11-05 11:14:55	ga_s2bm_ard_3-2-1_52JBR_2023-11-05_final.stac-item
2023-12-01 11:34:26	ga_s2bm_ard_3-2-1_51JVN_2023-12-01_final.stac-item
2023-12-18 11:24:08	ga_s2bm_ard_3-2-1_51KYP_2023-12-18_final.stac-item
2024-01-16 11:51:31	ga_s2bm_ard_3-2-1_50LRK_2024-01-16_nrt.stac-item
2024-02-16 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2024-02-16_final.stac-item
2024-04-05 11:51:45	ga_s2bm_ard_3-2-1_50LRJ_2024-04-05_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