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
2017-07-29 11:12:14	ga_s2bm_ard_3-2-1_52JET_2017-07-29_final
2018-05-07 11:48:28	ga_s2bm_ard_3-2-1_50KPA_2018-05-07_final
2018-06-01 11:03:31	ga_s2bm_ard_3-2-1_52JFM_2018-06-01_final
2018-06-04 11:12:12	ga_s2bm_ard_3-2-1_52JCR_2018-06-04_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JDQ_2018-09-19_final
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JDP_2018-09-19_final
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JDQ_2018-09-19_final
2018-09-20 12:13:14	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_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_51JXF_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_51JYH_2018-09-22_final
2018-09-22 11:12:44	ga_s2bm_ard_3-2-1_52JCQ_2018-09-22_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
2018-09-26 10:55:40	ga_s2bm_ard_3-2-1_52JFL_2018-09-26_final
2018-09-26 10:55:40	ga_s2bm_ard_3-2-1_52JFM_2018-09-26_final
2018-10-09 11:00:38	ga_s2bm_ard_3-2-1_52JCQ_2018-10-09_final
2018-10-19 10:59:05	ga_s2bm_ard_3-2-1_52JFQ_2018-10-19_final
2018-11-05 10:53:12	ga_s2bm_ard_3-2-1_52JFQ_2018-11-05_final
2018-12-15 10:54:56	ga_s2bm_ard_3-2-1_52JFQ_2018-12-15_final
2019-02-02 11:25:47	ga_s2bm_ard_3-2-1_51JXG_2019-02-02_final
2019-06-29 11:16:06	ga_s2bm_ard_3-2-1_51JXG_2019-06-29_final
2019-08-03 12:04:56	ga_s2bm_ard_3-2-1_50JMS_2019-08-03_final
2019-09-13 11:36:00	ga_s2bm_ard_3-2-1_51JUG_2019-09-13_final
2019-09-17 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2019-09-17_final
2019-09-22 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2019-09-22_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
2020-02-01 11:04:50	ga_s2bm_ard_3-2-1_52JFQ_2020-02-01_final
2020-02-27 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2020-02-27_final
2020-04-02 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2020-04-02_final
2020-05-01 11:04:52	ga_s2bm_ard_3-2-1_52JCR_2020-05-01_final
2020-05-07 11:25:50	ga_s2bm_ard_3-2-1_51JXG_2020-05-07_final
2020-05-13 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2020-05-13_final
2020-05-17 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2020-05-17_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
2020-09-06 12:05:11	ga_s2bm_ard_3-2-1_50JLR_2020-09-06_final
2020-09-11 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2020-09-11_final
2021-09-05 11:45:57	ga_s2bm_ard_3-2-1_50JQM_2021-09-05_final
2021-09-09 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2021-09-09_final
2021-09-09 11:25:49	ga_s2bm_ard_3-2-1_51JXG_2021-09-09_final
2021-09-15 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2021-09-15_final
2021-09-19 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2021-09-19_final
2021-10-19 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2021-10-19_final
2021-10-23 11:04:59	ga_s2bm_ard_3-2-1_52JFQ_2021-10-23_final
2021-11-04 11:45:58	ga_s2bm_ard_3-2-1_51JTG_2021-11-04_final
2021-12-02 11:04:53	ga_s2bm_ard_3-2-1_52JFQ_2021-12-02_final
2021-12-24 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2021-12-24_final
2022-01-01 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2022-01-01_final
2022-01-11 11:04:54	ga_s2bm_ard_3-2-1_52JFQ_2022-01-11_final
2022-02-15 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-02-15_final
2022-02-22 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2022-02-22_final
2022-02-23 11:15:45	ga_s2bm_ard_3-2-1_51JXG_2022-02-23_final
2022-02-26 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2022-02-26_final
2022-03-02 11:04:54	ga_s2bm_ard_3-2-1_52JFQ_2022-03-02_final
2022-03-05 11:15:54	ga_s2bm_ard_3-2-1_51JXG_2022-03-05_final
2022-03-12 11:04:56	ga_s2bm_ard_3-2-1_52JFQ_2022-03-12_final
2022-03-19 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2022-03-19_final
2022-04-30 11:35:12	ga_s2bm_ard_3-2-1_51JTK_2022-04-30_final
2022-05-27 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2022-05-27_final
2022-07-13 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2022-07-13_final
2022-08-11 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2022-08-11_final
2022-08-19 11:05:00	ga_s2bm_ard_3-2-1_52JFQ_2022-08-19_final
2022-08-29 11:04:58	ga_s2bm_ard_3-2-1_52JFQ_2022-08-29_final
2022-11-24 10:55:02	ga_s2bm_ard_3-2-1_52JFQ_2022-11-24_final.stac-item
2022-12-19 11:45:56	ga_s2bm_ard_3-2-1_51JTG_2022-12-19_final.stac-item
2023-02-02 10:54:59	ga_s2bm_ard_3-2-1_52JFQ_2023-02-02_final.stac-item
2023-03-09 11:46:01	ga_s2bm_ard_3-2-1_51JTG_2023-03-09_final.stac-item
2023-04-23 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-04-23_final.stac-item
2023-04-29 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2023-04-29_final.stac-item
2023-05-12 11:25:55	ga_s2bm_ard_3-2-1_51JXG_2023-05-12_final.stac-item
2023-06-03 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-06-03_final.stac-item
2023-06-03 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2023-06-03_final.stac-item
2023-06-11 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2023-06-11_final.stac-item
2023-06-30 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-06-30_final.stac-item
2023-08-10 11:25:58	ga_s2bm_ard_3-2-1_51JXG_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
2023-08-19 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-08-19_final.stac-item
2023-08-24 11:05:02	ga_s2bm_ard_3-2-1_52JFQ_2023-08-24_final.stac-item
2023-09-11 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final.stac-item
2023-09-19 11:25:48	ga_s2bm_ard_3-2-1_51JYG_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
2023-10-05 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2023-10-05_final.stac-item
2023-10-13 11:05:00	ga_s2bm_ard_3-2-1_52JFQ_2023-10-13_final.stac-item
2023-10-20 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-10-20_final.stac-item
2023-11-02 11:05:41	ga_s2bm_ard_3-2-1_52JFM_2023-11-02_final.stac-item
2023-11-09 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-11-09_final.stac-item
2023-12-14 11:44:49	ga_s2bm_ard_3-2-1_51JUL_2023-12-14_final.stac-item
2024-01-30 11:35:57	ga_s2bm_ard_3-2-1_51JUG_2024-01-30_final.stac-item
2024-02-03 11:15:55	ga_s2bm_ard_3-2-1_51JXG_2024-02-03_final.stac-item
2024-02-13 11:16:05	ga_s2bm_ard_3-2-1_51JXG_2024-02-13_final.stac-item
2024-02-17 10:55:03	ga_s2bm_ard_3-2-1_52JFQ_2024-02-17_final.stac-item
2024-03-01 11:05:36	ga_s2bm_ard_3-2-1_52JFM_2024-03-01_final.stac-item
2024-03-27 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2024-03-27_final.stac-item
2024-03-31 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2024-03-31_final.stac-item
2024-04-06 11:26:20	ga_s2bm_ard_3-2-1_51HXE_2024-04-06_final.stac-item
2024-04-16 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2024-04-16_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