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
2017-07-31 11:49:45	ga_s2bm_ard_3-2-1_50JMT_2017-07-31_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JNS_2017-10-19_final
2017-11-08 11:53:07	ga_s2bm_ard_3-2-1_50JNS_2017-11-08_final
2017-11-28 11:50:34	ga_s2bm_ard_3-2-1_50JNS_2017-11-28_final
2017-12-01 12:02:38	ga_s2bm_ard_3-2-1_49KHP_2017-12-01_final
2017-12-28 11:49:08	ga_s2bm_ard_3-2-1_50JMR_2017-12-28_final
2018-01-17 11:49:12	ga_s2bm_ard_3-2-1_50HLK_2018-01-17_final
2018-02-06 11:49:12	ga_s2bm_ard_3-2-1_50HLH_2018-02-06_final
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQG_2018-05-31_final.stac-item
2018-05-31 11:32:50	ga_s2bm_ard_3-2-1_50HQK_2018-05-31_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JNS_2018-11-03_final
2019-01-02 11:56:52	ga_s2bm_ard_3-2-1_50HLJ_2019-01-02_final
2019-01-05 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2019-01-05_final
2019-01-29 11:45:04	ga_s2bm_ard_3-2-1_50JQR_2019-01-29_final
2019-03-06 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2019-03-06_final
2019-03-10 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2019-03-10_final
2019-07-11 11:55:18	ga_s2bm_ard_3-2-1_50JMR_2019-07-11_final
2019-07-21 11:54:46	ga_s2bm_ard_3-2-1_50JNT_2019-07-21_final
2019-07-24 12:04:48	ga_s2bm_ard_3-2-1_50JLT_2019-07-24_final
2019-10-09 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2019-10-09_final
2019-11-08 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2019-11-08_final
2019-11-11 12:04:39	ga_s2bm_ard_3-2-1_50JLT_2019-11-11_final
2019-12-15 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2019-12-15_final
2019-12-21 12:04:34	ga_s2bm_ard_3-2-1_50JLT_2019-12-21_final
2019-12-31 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2019-12-31_final
2020-01-10 12:04:22	ga_s2bm_ard_3-2-1_49KHP_2020-01-10_final
2020-01-10 12:04:37	ga_s2bm_ard_3-2-1_49JHN_2020-01-10_final
2020-01-21 11:37:11	ga_s2bm_ard_3-2-1_50HQG_2020-01-21_final.stac-item
2020-04-03 11:47:21	ga_s2bm_ard_3-2-1_50HMG_2020-04-03_final.stac-item
2020-05-09 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2020-05-09_final
2020-05-09 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2020-05-09_final.stac-item
2020-06-02 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2020-06-02_final
2020-08-07 12:06:01	ga_s2bm_ard_3-2-1_49JGH_2020-08-07_final.stac-item
2020-08-31 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2020-08-31_final
2020-09-10 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2020-09-10_final
2020-09-20 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2020-09-20_final
2020-10-10 11:45:54	ga_s2bm_ard_3-2-1_50JPN_2020-10-10_final
2020-10-23 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2020-10-23_final
2020-11-09 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2020-11-09_final
2020-11-18 12:14:46	ga_s2bm_ard_3-2-1_49JFN_2020-11-18_final
2020-11-29 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2020-11-29_final
2020-11-29 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2020-11-29_final
2020-12-02 11:54:40	ga_s2bm_ard_3-2-1_50JMT_2020-12-02_final
2020-12-05 12:04:41	ga_s2bm_ard_3-2-1_50JKT_2020-12-05_final
2020-12-22 11:54:37	ga_s2bm_ard_3-2-1_50JMT_2020-12-22_final
2021-04-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2021-04-07_final
2021-06-16 12:13:59	ga_s2bm_ard_3-2-1_49KGR_2021-06-16_final
2021-06-27 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2021-06-27_final
2021-06-27 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2021-06-27_final
2021-08-09 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2021-08-09_final
2021-10-25 11:45:19	ga_s2bm_ard_3-2-1_50JQQ_2021-10-25_final
2021-11-27 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2021-11-27_final
2022-01-13 11:45:13	ga_s2bm_ard_3-2-1_50JQQ_2022-01-13_final
2022-01-26 11:54:31	ga_s2bm_ard_3-2-1_50JNT_2022-01-26_final
2022-01-26 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2022-01-26_final
2022-02-05 11:55:18	ga_s2bm_ard_3-2-1_50JMQ_2022-02-05_final
2022-02-18 12:04:21	ga_s2bm_ard_3-2-1_49KHP_2022-02-18_final
2022-04-22 12:13:53	ga_s2bm_ard_3-2-1_49KGR_2022-04-22_final
2022-05-29 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2022-05-29_final
2022-10-10 11:45:19	ga_s2bm_ard_3-2-1_50JPQ_2022-10-10_final.stac-item
2022-10-10 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2022-10-10_final.stac-item
2022-12-02 11:54:38	ga_s2bm_ard_3-2-1_50JMT_2022-12-02_final.stac-item
2022-12-09 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2022-12-09_final.stac-item
2022-12-19 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-12-19_final.stac-item
2023-01-08 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2023-01-08_final.stac-item
2023-01-11 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2023-01-11_final.stac-item
2023-01-18 11:45:15	ga_s2bm_ard_3-2-1_50JQQ_2023-01-18_final.stac-item
2023-03-09 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2023-03-09_final.stac-item
2023-04-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-04-08_final.stac-item
2023-04-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-04-08_final.stac-item
2023-06-16 12:14:36	ga_s2bm_ard_3-2-1_49KFP_2023-06-16_nrt.stac-item
2023-06-17 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2023-06-17_final.stac-item
2023-08-05 12:14:06	ga_s2bm_ard_3-2-1_49KFR_2023-08-05_nrt.stac-item
2023-08-09 11:54:42	ga_s2bm_ard_3-2-1_50JNT_2023-08-09_final.stac-item
2023-09-25 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2023-09-25_final.stac-item
2023-10-08 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2023-10-08_final.stac-item
2023-11-07 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2023-11-07_final.stac-item
2023-11-20 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2023-11-20_final.stac-item
2023-11-20 12:04:40	ga_s2bm_ard_3-2-1_50JKT_2023-11-20_final.stac-item
2023-11-30 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-11-30_final.stac-item
2023-12-04 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2023-12-04_final.stac-item
2023-12-10 12:04:39	ga_s2bm_ard_3-2-1_50JKT_2023-12-10_final.stac-item
2023-12-14 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2023-12-14_final.stac-item
2023-12-20 12:04:28	ga_s2bm_ard_3-2-1_49KHP_2023-12-20_final.stac-item
2023-12-20 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2023-12-20_final.stac-item
2023-12-27 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2023-12-27_final.stac-item
2024-01-03 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-01-03_final.stac-item
2024-01-06 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2024-01-06_final.stac-item
2024-01-19 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2024-01-19_final.stac-item
2024-01-19 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2024-01-19_final.stac-item
2024-01-26 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2024-01-26_final.stac-item
2024-01-26 11:54:39	ga_s2bm_ard_3-2-1_50JMT_2024-01-26_final.stac-item
2024-01-26 11:54:54	ga_s2bm_ard_3-2-1_50JMS_2024-01-26_final.stac-item
2024-02-15 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2024-02-15_final.stac-item
2024-03-13 11:47:18	ga_s2bm_ard_3-2-1_50HNG_2024-03-13_final.stac-item
2024-04-25 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2024-04-25_final.stac-item
2024-04-25 11:56:21	ga_s2bm_ard_3-2-1_50JML_2024-04-25_final.stac-item
2024-04-25 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2024-04-25_final.stac-item
2024-05-11 12:13:48	ga_s2bm_ard_3-2-1_49KFS_2024-05-11_interim.stac-item
2024-05-12 11:45:36	ga_s2bm_ard_3-2-1_50JPP_2024-05-12_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

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