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
2018-04-28 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2018-04-28_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50KNA_2018-05-10_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52JCQ_2018-06-04_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51JXF_2018-06-07_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JEQ_2018-09-19_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51JTL_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51KTR_2018-09-21_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JCQ_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JCR_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JCT_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JDT_2018-09-22_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HWE_2018-09-25_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51HXE_2018-09-25_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JVJ_2018-09-25_final
2018-09-25 11:23:23	ga_s2bm_ard_3-2-1_51JXF_2018-09-25_final
2018-09-26 10:49:50	ga_s2bm_ard_3-2-1_52JEM_2018-09-26_final
2018-09-29 11:00:36	ga_s2bm_ard_3-2-1_52JCR_2018-09-29_final
2018-10-08 11:30:50	ga_s2bm_ard_3-2-1_51JUH_2018-10-08_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JCQ_2018-10-09_final
2018-10-12 11:11:18	ga_s2bm_ard_3-2-1_51JXG_2018-10-12_final
2018-11-17 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2018-11-17_final
2019-02-02 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2019-02-02_final
2019-02-16 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2019-02-16_final
2019-02-19 11:14:07	ga_s2bm_ard_3-2-1_52JET_2019-02-19_final
2019-06-26 11:05:47	ga_s2bm_ard_3-2-1_52JFM_2019-06-26_final
2019-08-05 11:05:46	ga_s2bm_ard_3-2-1_52JFM_2019-08-05_final
2019-09-12 12:03:27	ga_s2bm_ard_3-2-1_50KLC_2019-09-12_final
2019-09-23 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2019-09-23_final
2019-09-23 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2019-09-23_final
2019-09-30 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2019-09-30_final
2019-10-04 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2019-10-04_final
2019-12-02 11:36:29	ga_s2bm_ard_3-2-1_51HVD_2019-12-02_final
2020-01-21 11:35:47	ga_s2bm_ard_3-2-1_51JTG_2020-01-21_final
2020-01-25 11:14:01	ga_s2bm_ard_3-2-1_52JET_2020-01-25_final
2020-01-28 11:25:45	ga_s2bm_ard_3-2-1_51JXG_2020-01-28_final
2020-02-01 11:04:54	ga_s2bm_ard_3-2-1_52JEQ_2020-02-01_final
2020-02-01 11:04:58	ga_s2bm_ard_3-2-1_52JDQ_2020-02-01_final
2020-04-11 11:05:35	ga_s2bm_ard_3-2-1_52JFM_2020-04-11_final
2020-04-17 11:25:48	ga_s2bm_ard_3-2-1_51JXG_2020-04-17_final
2020-05-07 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2020-05-07_final
2020-05-13 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2020-05-13_final
2020-05-17 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2020-05-17_final
2020-06-15 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2020-06-15_final.stac-item
2020-08-15 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2020-08-15_final
2020-09-04 11:25:48	ga_s2bm_ard_3-2-1_51JYG_2020-09-04_final
2020-09-04 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2020-09-04_final
2020-09-06 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2020-09-06_final
2020-09-06 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2020-09-06_final
2020-09-08 11:04:58	ga_s2bm_ard_3-2-1_52JCR_2020-09-08_final
2020-10-01 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2020-10-01_final
2020-10-07 11:36:03	ga_s2bm_ard_3-2-1_51JUG_2020-10-07_final
2020-11-16 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2020-11-16_final
2021-05-18 11:40:57	ga_s2bm_ard_3-2-1_51LWG_2021-05-18_final.stac-item
2021-09-05 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2021-09-05_final
2021-09-09 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-09-09_final
2021-12-02 11:05:54	ga_s2bm_ard_3-2-1_52JBM_2021-12-02_final
2021-12-11 11:36:28	ga_s2bm_ard_3-2-1_51HVD_2021-12-11_final
2022-01-20 11:36:29	ga_s2bm_ard_3-2-1_51HVD_2022-01-20_final
2022-02-02 11:45:51	ga_s2bm_ard_3-2-1_51JTG_2022-02-02_final
2022-02-08 12:04:55	ga_s2bm_ard_3-2-1_50JLR_2022-02-08_final
2022-03-01 11:35:56	ga_s2bm_ard_3-2-1_51JUG_2022-03-01_final
2022-03-24 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2022-03-24_final
2022-04-30 11:35:12	ga_s2bm_ard_3-2-1_51JTK_2022-04-30_final
2022-07-06 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2022-07-06_final
2022-07-13 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2022-07-13_final
2022-08-14 11:57:09	ga_s2bm_ard_3-2-1_50HMH_2022-08-14_final
2023-03-10 11:16:24	ga_s2bm_ard_3-2-1_51JWF_2023-03-10_final.stac-item
2023-04-29 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2023-04-29_final.stac-item
2023-05-22 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2023-05-22_final.stac-item
2023-05-24 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-05-24_final.stac-item
2023-06-11 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-06-11_final.stac-item
2023-07-11 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-07-11_final.stac-item
2023-07-11 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2023-07-11_final.stac-item
2023-07-17 11:41:24	ga_s2bm_ard_3-2-1_51LUF_2023-07-17_final.stac-item
2023-07-23 12:05:04	ga_s2bm_ard_3-2-1_50JMR_2023-07-23_final.stac-item
2023-07-31 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2023-07-31_final.stac-item
2023-08-10 11:26:41	ga_s2bm_ard_3-2-1_51HXD_2023-08-10_final.stac-item
2023-08-17 11:16:03	ga_s2bm_ard_3-2-1_51JXG_2023-08-17_final.stac-item
2023-08-20 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2023-08-20_final.stac-item
2023-08-30 11:25:49	ga_s2bm_ard_3-2-1_51JYG_2023-08-30_final.stac-item
2023-09-19 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2023-09-19_final.stac-item
2023-09-26 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2023-09-26_final.stac-item
2023-09-29 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-09-29_final.stac-item
2023-10-19 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-10-19_final.stac-item
2023-10-26 11:15:58	ga_s2bm_ard_3-2-1_51JXG_2023-10-26_final.stac-item
2023-10-31 12:05:11	ga_s2bm_ard_3-2-1_49JFM_2023-10-31_final.stac-item
2023-11-02 11:05:41	ga_s2bm_ard_3-2-1_52JFM_2023-11-02_final.stac-item
2023-11-05 11:15:56	ga_s2bm_ard_3-2-1_51JYG_2023-11-05_final.stac-item
2023-11-05 11:16:00	ga_s2bm_ard_3-2-1_51JXG_2023-11-05_final.stac-item
2023-12-17 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2023-12-17_final.stac-item
2023-12-21 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2023-12-21_final.stac-item
2024-01-17 11:26:21	ga_s2bm_ard_3-2-1_51HXE_2024-01-17_final.stac-item
2024-01-31 11:04:47	ga_s2bm_ard_3-2-1_52JCR_2024-01-31_final.stac-item
2024-02-13 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2024-02-13_final.stac-item
2024-02-26 11:25:52	ga_s2bm_ard_3-2-1_51JXG_2024-02-26_final.stac-item
2024-02-26 11:26:06	ga_s2bm_ard_3-2-1_51JXF_2024-02-26_final.stac-item
2024-03-27 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2024-03-27_final.stac-item
2024-04-06 11:25:51	ga_s2bm_ard_3-2-1_51JXG_2024-04-06_final.stac-item
2024-04-06 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2024-04-06_final.stac-item
2024-05-26 11:26:07	ga_s2bm_ard_3-2-1_51JXF_2024-05-26_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