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
2017-12-27 10:42:55	ga_s2bm_ard_3-2-1_53JNF_2017-12-27_final
2018-05-02 11:00:12	ga_s2bm_ard_3-2-1_52LFH_2018-05-02_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53JLH_2018-05-09_final
2018-05-09 10:47:23	ga_s2bm_ard_3-2-1_53JLL_2018-05-09_final
2018-06-07 11:25:26	ga_s2bm_ard_3-2-1_51JYG_2018-06-07_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JFS_2018-09-19_final
2018-09-19 10:59:00	ga_s2bm_ard_3-2-1_52JFT_2018-09-19_final
2018-09-19 11:04:43	ga_s2bm_ard_3-2-1_52JDR_2018-09-19_final
2018-09-20 12:13:54	ga_s2bm_ard_3-2-1_49KHQ_2018-09-20_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_51JTK_2018-09-21_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JKH_2018-09-23_final
2018-09-23 10:41:40	ga_s2bm_ard_3-2-1_53JLL_2018-09-23_final
2018-10-06 10:51:25	ga_s2bm_ard_3-2-1_53JLH_2018-10-06_final
2018-10-13 10:41:44	ga_s2bm_ard_3-2-1_53JLG_2018-10-13_final
2018-10-20 10:31:25	ga_s2bm_ard_3-2-1_53JMH_2018-10-20_final
2019-01-31 10:45:32	ga_s2bm_ard_3-2-1_53JNG_2019-01-31_final
2019-02-06 11:05:39	ga_s2bm_ard_3-2-1_52JFM_2019-02-06_final
2019-09-17 11:15:56	ga_s2bm_ard_3-2-1_51JXG_2019-09-17_final
2019-09-17 11:16:02	ga_s2bm_ard_3-2-1_51JXF_2019-09-17_final
2019-09-21 10:54:07	ga_s2bm_ard_3-2-1_53JLN_2019-09-21_final
2019-11-17 10:45:30	ga_s2bm_ard_3-2-1_53JNG_2019-11-17_final
2020-02-20 11:36:30	ga_s2bm_ard_3-2-1_51HVD_2020-02-20_final
2020-05-04 11:15:54	ga_s2bm_ard_3-2-1_51JXG_2020-05-04_final
2020-09-05 10:55:18	ga_s2bm_ard_3-2-1_53JLH_2020-09-05_final
2020-09-08 11:05:00	ga_s2bm_ard_3-2-1_52JFQ_2020-09-08_final
2020-09-21 11:15:59	ga_s2bm_ard_3-2-1_51JXG_2020-09-21_final
2020-09-22 10:45:42	ga_s2bm_ard_3-2-1_53JLG_2020-09-22_final
2020-10-02 10:44:16	ga_s2bm_ard_3-2-1_53JLN_2020-10-02_final
2020-10-02 10:45:26	ga_s2bm_ard_3-2-1_53JMH_2020-10-02_final
2020-10-02 10:45:35	ga_s2bm_ard_3-2-1_53JNG_2020-10-02_final
2020-10-02 10:45:40	ga_s2bm_ard_3-2-1_53JMG_2020-10-02_final
2021-08-26 11:46:00	ga_s2bm_ard_3-2-1_51JTG_2021-08-26_final
2021-09-05 11:45:53	ga_s2bm_ard_3-2-1_51JTG_2021-09-05_final
2021-09-07 10:45:37	ga_s2bm_ard_3-2-1_53JLG_2021-09-07_final
2021-09-23 11:04:55	ga_s2bm_ard_3-2-1_52JFQ_2021-09-23_final
2021-09-24 10:35:25	ga_s2bm_ard_3-2-1_53JMH_2021-09-24_final
2021-09-27 10:45:39	ga_s2bm_ard_3-2-1_53JLG_2021-09-27_final
2021-10-07 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2021-10-07_final
2021-10-24 10:35:28	ga_s2bm_ard_3-2-1_53JMH_2021-10-24_final
2021-11-16 10:45:30	ga_s2bm_ard_3-2-1_53JNG_2021-11-16_final
2021-11-29 10:54:58	ga_s2bm_ard_3-2-1_52JFQ_2021-11-29_final
2021-12-12 11:04:52	ga_s2bm_ard_3-2-1_52JFQ_2021-12-12_final
2021-12-16 10:45:30	ga_s2bm_ard_3-2-1_53JMG_2021-12-16_final
2021-12-19 10:55:09	ga_s2bm_ard_3-2-1_53JLH_2021-12-19_final
2022-01-01 11:04:49	ga_s2bm_ard_3-2-1_52JFQ_2022-01-01_final
2022-01-28 10:54:56	ga_s2bm_ard_3-2-1_52JFQ_2022-01-28_final
2022-02-07 10:54:57	ga_s2bm_ard_3-2-1_52JFQ_2022-02-07_final
2022-02-27 10:54:54	ga_s2bm_ard_3-2-1_52JFQ_2022-02-27_final
2022-03-09 10:54:56	ga_s2bm_ard_3-2-1_52JFQ_2022-03-09_final
2022-04-07 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2022-04-07_final
2022-04-30 11:34:54	ga_s2bm_ard_3-2-1_51JUL_2022-04-30_final
2022-04-30 11:35:24	ga_s2bm_ard_3-2-1_51JUJ_2022-04-30_final
2022-04-30 11:35:53	ga_s2bm_ard_3-2-1_51JUG_2022-04-30_final
2022-09-22 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2022-09-22_final.stac-item
2022-09-29 10:35:27	ga_s2bm_ard_3-2-1_53JMH_2022-09-29_final.stac-item
2022-10-09 10:35:25	ga_s2bm_ard_3-2-1_53JMH_2022-10-09_final.stac-item
2023-01-16 11:04:54	ga_s2bm_ard_3-2-1_52JFQ_2023-01-16_final.stac-item
2023-03-14 10:55:06	ga_s2bm_ard_3-2-1_52JFQ_2023-03-14_final.stac-item
2023-03-24 10:55:04	ga_s2bm_ard_3-2-1_52JFQ_2023-03-24_final.stac-item
2023-04-10 10:45:42	ga_s2bm_ard_3-2-1_53JLG_2023-04-10_final.stac-item
2023-05-10 10:45:44	ga_s2bm_ard_3-2-1_53JNF_2023-05-10_final.stac-item
2023-05-13 10:54:11	ga_s2bm_ard_3-2-1_53JLN_2023-05-13_final.stac-item
2023-05-13 10:54:18	ga_s2bm_ard_3-2-1_53JLN_2023-05-13_final.stac-item
2023-05-19 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2023-05-19_final.stac-item
2023-05-23 10:54:04	ga_s2bm_ard_3-2-1_53JMN_2023-05-23_final.stac-item
2023-05-23 10:54:13	ga_s2bm_ard_3-2-1_53JLN_2023-05-23_final.stac-item
2023-06-02 10:54:12	ga_s2bm_ard_3-2-1_53JLN_2023-06-02_final.stac-item
2023-06-09 10:45:45	ga_s2bm_ard_3-2-1_53JLG_2023-06-09_final.stac-item
2023-06-12 10:54:57	ga_s2bm_ard_3-2-1_53JLK_2023-06-12_final.stac-item
2023-07-12 10:54:28	ga_s2bm_ard_3-2-1_53JLM_2023-07-12_final.stac-item
2023-07-12 10:54:42	ga_s2bm_ard_3-2-1_53JLL_2023-07-12_final.stac-item
2023-07-19 10:45:46	ga_s2bm_ard_3-2-1_53JLG_2023-07-19_final.stac-item
2023-07-22 10:54:44	ga_s2bm_ard_3-2-1_53JLL_2023-07-22_final.stac-item
2023-07-31 11:25:50	ga_s2bm_ard_3-2-1_51JYG_2023-07-31_final.stac-item
2023-08-31 10:54:04	ga_s2bm_ard_3-2-1_53JMN_2023-08-31_final.stac-item
2023-09-20 10:54:12	ga_s2bm_ard_3-2-1_53JLN_2023-09-20_final.stac-item
2023-09-27 10:45:45	ga_s2bm_ard_3-2-1_53JNF_2023-09-27_final.stac-item
2023-09-29 11:25:47	ga_s2bm_ard_3-2-1_51JYG_2023-09-29_final.stac-item
2023-10-07 10:45:23	ga_s2bm_ard_3-2-1_53JMH_2023-10-07_final.stac-item
2023-10-07 10:45:37	ga_s2bm_ard_3-2-1_53JMG_2023-10-07_final.stac-item
2023-10-14 10:35:29	ga_s2bm_ard_3-2-1_53JMH_2023-10-14_final.stac-item
2023-10-17 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2023-10-17_final.stac-item
2023-10-17 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2023-10-17_final.stac-item
2023-10-17 10:45:44	ga_s2bm_ard_3-2-1_53JNF_2023-10-17_final.stac-item
2023-10-24 10:35:28	ga_s2bm_ard_3-2-1_53JMH_2023-10-24_final.stac-item
2023-10-27 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2023-10-27_final.stac-item
2023-10-27 10:45:43	ga_s2bm_ard_3-2-1_53JNF_2023-10-27_final.stac-item
2023-11-06 10:45:25	ga_s2bm_ard_3-2-1_53JMH_2023-11-06_final.stac-item
2023-11-29 10:55:12	ga_s2bm_ard_3-2-1_53JLH_2023-11-29_final.stac-item
2023-12-06 10:45:27	ga_s2bm_ard_3-2-1_53JMH_2023-12-06_final.stac-item
2023-12-06 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2023-12-06_final.stac-item
2023-12-16 10:45:41	ga_s2bm_ard_3-2-1_53JNF_2023-12-16_final.stac-item
2023-12-26 10:45:33	ga_s2bm_ard_3-2-1_53JNG_2023-12-26_final.stac-item
2024-01-28 10:55:13	ga_s2bm_ard_3-2-1_53JLH_2024-01-28_final.stac-item
2024-01-31 11:04:47	ga_s2bm_ard_3-2-1_52JFQ_2024-01-31_final.stac-item
2024-02-14 10:45:33	ga_s2bm_ard_3-2-1_53JNG_2024-02-14_final.stac-item
2024-02-24 10:45:42	ga_s2bm_ard_3-2-1_53JNF_2024-02-24_final.stac-item
2024-03-25 10:45:41	ga_s2bm_ard_3-2-1_53JLG_2024-03-25_final.stac-item
2024-04-07 10:55:14	ga_s2bm_ard_3-2-1_53JLH_2024-04-07_final.stac-item
2024-04-27 10:55:14	ga_s2bm_ard_3-2-1_53JLH_2024-04-27_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