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
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_50JMS_2018-05-10_final
2018-09-21 11:40:23	ga_s2bm_ard_3-2-1_50JPM_2018-09-21_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JLR_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNN_2018-09-24_final
2018-09-24 11:52:42	ga_s2bm_ard_3-2-1_50JNQ_2018-09-24_final
2018-10-07 12:04:33	ga_s2bm_ard_3-2-1_50JLQ_2018-10-07_final
2018-12-13 11:55:06	ga_s2bm_ard_3-2-1_50JLR_2018-12-13_final
2019-06-24 12:05:07	ga_s2bm_ard_3-2-1_50JMR_2019-06-24_final
2019-07-31 11:55:34	ga_s2bm_ard_3-2-1_50JPP_2019-07-31_final
2019-09-22 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2019-09-22_final
2019-12-11 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2019-12-11_final
2020-02-16 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2020-02-16_final
2020-05-09 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2020-05-09_final
2020-07-18 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-07-18_final
2020-07-28 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2020-07-28_final
2020-09-13 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2020-09-13_final
2020-09-16 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2020-09-16_final
2020-09-20 11:45:47	ga_s2bm_ard_3-2-1_50JNN_2020-09-20_final
2021-09-11 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2021-09-11_final
2021-09-18 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2021-09-18_final
2021-10-11 12:04:47	ga_s2bm_ard_3-2-1_50JLT_2021-10-11_final
2021-10-11 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2021-10-11_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
2021-11-10 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2021-11-10_final
2021-11-20 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2021-11-20_final
2021-11-27 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-11-27_final
2021-11-30 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-11-30_final
2021-12-17 11:55:06	ga_s2bm_ard_3-2-1_50JLR_2021-12-17_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
2021-12-27 11:55:22	ga_s2bm_ard_3-2-1_50JPP_2021-12-27_final
2021-12-30 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-12-30_final
2022-01-09 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2022-01-09_final
2022-01-19 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2022-01-19_final
2022-01-29 12:05:02	ga_s2bm_ard_3-2-1_50JLR_2022-01-29_final
2022-01-29 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2022-01-29_final
2022-02-02 11:45:59	ga_s2bm_ard_3-2-1_50JPM_2022-02-02_final
2022-02-28 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2022-02-28_final
2022-03-10 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-03-10_final
2022-03-10 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-03-10_final
2022-03-10 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-03-10_final
2022-03-24 11:45:49	ga_s2bm_ard_3-2-1_50JPN_2022-03-24_final
2022-04-06 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2022-04-06_final
2022-04-19 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2022-04-19_final
2022-05-16 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2022-05-16_final
2022-06-28 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2022-06-28_final
2022-07-08 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-07-08_final
2022-07-08 12:05:28	ga_s2bm_ard_3-2-1_50JLQ_2022-07-08_final
2022-08-07 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-08-07_final.stac-item
2022-08-27 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2022-08-27_final.stac-item
2022-09-26 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-09-26_final.stac-item
2022-10-13 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2022-10-13_final.stac-item
2022-10-16 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-10-16_final.stac-item
2022-10-26 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2022-10-26_final.stac-item
2022-10-26 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-10-26_final.stac-item
2022-11-15 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-15_final.stac-item
2022-11-25 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2022-11-25_final.stac-item
2022-11-25 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-11-25_final.stac-item
2022-11-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-11-25_final.stac-item
2022-12-05 12:05:05	ga_s2bm_ard_3-2-1_50JLR_2022-12-05_final.stac-item
2022-12-15 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-12-15_final.stac-item
2022-12-19 11:46:04	ga_s2bm_ard_3-2-1_50JPM_2022-12-19_final.stac-item
2022-12-25 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-12-25_final.stac-item
2023-01-01 11:55:25	ga_s2bm_ard_3-2-1_50JPP_2023-01-01_final.stac-item
2023-01-24 12:04:57	ga_s2bm_ard_3-2-1_50JMR_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
2023-02-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-02-23_final.stac-item
2023-03-09 11:46:09	ga_s2bm_ard_3-2-1_50JPM_2023-03-09_final.stac-item
2023-03-15 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2023-03-15_final.stac-item
2023-04-21 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2023-04-21_final.stac-item
2023-05-14 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-05-14_final.stac-item
2023-05-21 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2023-05-21_final.stac-item
2023-05-24 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-05-24_final.stac-item
2023-06-03 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-06-03_final.stac-item
2023-06-10 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2023-06-10_final.stac-item
2023-06-13 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-06-13_final.stac-item
2023-06-13 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-06-13_final.stac-item
2023-06-30 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2023-06-30_final.stac-item
2023-07-13 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-07-13_final.stac-item
2023-07-23 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-07-23_final.stac-item
2023-08-19 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2023-08-19_final.stac-item
2023-08-23 11:36:33	ga_s2bm_ard_3-2-1_50HPK_2023-08-23_final.stac-item
2023-09-08 11:55:30	ga_s2bm_ard_3-2-1_50JPP_2023-09-08_final.stac-item
2023-09-11 12:05:29	ga_s2bm_ard_3-2-1_50JLQ_2023-09-11_final.stac-item
2023-10-01 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2023-10-01_final.stac-item
2023-10-21 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2023-10-21_final.stac-item
2023-10-31 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-31_final.stac-item
2023-11-07 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-11-07_final.stac-item
2023-11-30 12:05:01	ga_s2bm_ard_3-2-1_50JLR_2023-11-30_final.stac-item
2023-11-30 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2023-11-30_final.stac-item
2023-12-07 11:55:23	ga_s2bm_ard_3-2-1_50JPP_2023-12-07_final.stac-item
2023-12-27 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2023-12-27_final.stac-item
2024-01-06 11:55:34	ga_s2bm_ard_3-2-1_50JNP_2024-01-06_final.stac-item
2024-01-29 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-01-29_final.stac-item
2024-02-15 11:55:36	ga_s2bm_ard_3-2-1_50JNP_2024-02-15_final.stac-item
2024-02-18 12:05:17	ga_s2bm_ard_3-2-1_50JLQ_2024-02-18_final.stac-item
2024-04-28 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2024-04-28_final.stac-item
2024-05-05 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2024-05-05_final.stac-item
2024-05-08 12:04:49	ga_s2bm_ard_3-2-1_50JMS_2024-05-08_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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