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
2018-01-20 12:02:42	ga_s2bm_ard_3-2-1_50JMR_2018-01-20_final
2018-05-07 11:53:53	ga_s2bm_ard_3-2-1_50JPP_2018-05-07_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JMT_2018-05-10_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50HQK_2018-09-21_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JPT_2018-09-21_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLR_2018-09-24_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JLR_2018-09-27_final
2018-09-27 12:02:43	ga_s2bm_ard_3-2-1_50JMR_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLQ_2018-09-27_final
2018-10-01 11:44:52	ga_s2bm_ard_3-2-1_50JPQ_2018-10-01_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JLQ_2018-10-07_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JMS_2018-10-07_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JMT_2018-10-07_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JLT_2018-11-03_final
2018-11-03 11:54:10	ga_s2bm_ard_3-2-1_50JPP_2018-11-03_final
2018-11-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2018-11-06_final
2019-02-01 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2019-02-01_final
2019-02-24 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2019-02-24_final
2019-02-24 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2019-02-24_final
2019-08-03 12:04:43	ga_s2bm_ard_3-2-1_50JMT_2019-08-03_final
2019-09-15 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-15 12:14:21	ga_s2bm_ard_3-2-1_49KHP_2019-09-15_final
2020-01-20 12:04:42	ga_s2bm_ard_3-2-1_50JMS_2020-01-20_final
2020-04-02 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-07-28 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-07-28_final
2021-09-08 11:55:12	ga_s2bm_ard_3-2-1_50JPQ_2021-09-08_final
2021-09-11 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-09-11_final
2021-09-15 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2021-09-15_final
2021-10-08 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2021-10-08_final
2021-10-11 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2021-10-11_final
2021-10-31 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2021-10-31_final
2021-11-04 11:45:51	ga_s2bm_ard_3-2-1_50JPN_2021-11-04_final
2021-11-04 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2021-11-04_final
2021-11-20 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-11-20_final
2021-11-30 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-11-30_final
2021-12-17 11:55:21	ga_s2bm_ard_3-2-1_50JLQ_2021-12-17_final
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2021-12-20_final
2021-12-24 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2021-12-24_final
2021-12-30 12:05:04	ga_s2bm_ard_3-2-1_49JFM_2021-12-30_final
2022-01-06 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2022-01-06_final
2022-01-19 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2022-01-19_final
2022-02-02 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2022-02-02_final
2022-02-02 11:45:59	ga_s2bm_ard_3-2-1_50JPM_2022-02-02_final
2022-03-10 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-03-10_final
2022-03-14 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-14_final
2022-03-24 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-03-24_final
2022-04-19 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2022-04-19_final
2022-04-29 12:04:42	ga_s2bm_ard_3-2-1_50JMS_2022-04-29_final
2022-04-29 12:04:52	ga_s2bm_ard_3-2-1_50JMR_2022-04-29_final
2022-05-03 11:45:46	ga_s2bm_ard_3-2-1_50JPN_2022-05-03_final
2022-05-09 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2022-05-09_final
2022-05-09 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-05-09_final
2022-05-16 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2022-05-16_final
2022-06-22 11:47:32	ga_s2bm_ard_3-2-1_50HLG_2022-06-22_final.stac-item
2022-07-25 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2022-07-25_final
2022-08-07 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2022-08-07_final
2022-08-27 12:04:44	ga_s2bm_ard_3-2-1_50JLT_2022-08-27_final.stac-item
2022-10-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-10-06_final.stac-item
2022-10-16 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-10-16_final.stac-item
2022-10-23 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2022-10-23_final.stac-item
2022-11-05 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2022-11-05_final.stac-item
2022-11-12 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2022-11-12_final.stac-item
2022-11-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-15_final.stac-item
2022-11-22 11:55:26	ga_s2bm_ard_3-2-1_50JPP_2022-11-22_final.stac-item
2022-11-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-25_final.stac-item
2022-12-02 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2022-12-02_final.stac-item
2022-12-15 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-12-15_final.stac-item
2022-12-19 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2022-12-19_final.stac-item
2022-12-25 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-12-25_final.stac-item
2022-12-29 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2022-12-29_final.stac-item
2023-01-01 11:55:11	ga_s2bm_ard_3-2-1_50JLR_2023-01-01_final.stac-item
2023-01-04 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-01-04_final.stac-item
2023-01-24 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2023-01-24_final.stac-item
2023-01-24 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2023-01-24_final.stac-item
2023-02-13 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2023-02-13_final.stac-item
2023-02-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-02-23_final.stac-item
2023-03-12 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-03-12_final.stac-item
2023-03-15 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-03-15_final.stac-item
2023-05-04 12:04:36	ga_s2bm_ard_3-2-1_50JKT_2023-05-04_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-05-14_final.stac-item
2023-05-14 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2023-05-14_final.stac-item
2023-05-21 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2023-05-21_final.stac-item
2023-05-31 11:55:20	ga_s2bm_ard_3-2-1_50JPQ_2023-05-31_final.stac-item
2023-06-03 12:04:35	ga_s2bm_ard_3-2-1_50JLT_2023-06-03_final.stac-item
2023-06-03 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-06-03_final.stac-item
2023-06-13 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-06-13_final.stac-item
2023-06-23 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-06-23_final.stac-item
2023-07-03 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2023-07-03_final.stac-item
2023-07-23 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-07-23_final.stac-item
2023-08-02 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-08-02_final.stac-item
2023-08-09 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2023-08-09_final.stac-item
2023-08-12 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2023-08-12_final.stac-item
2023-08-22 12:05:30	ga_s2bm_ard_3-2-1_50JLQ_2023-08-22_final.stac-item
2023-08-29 11:55:20	ga_s2bm_ard_3-2-1_50JPQ_2023-08-29_final.stac-item
2023-09-11 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-09-11_final.stac-item
2023-10-15 11:46:03	ga_s2bm_ard_3-2-1_50JQM_2023-10-15_final.stac-item
2023-11-24 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2023-11-24_final.stac-item
2024-01-16 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2024-01-16_final.stac-item
2024-03-26 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2024-03-26_final.stac-item
2024-04-18 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2024-04-18_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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