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
2017-11-04 12:13:08	ga_s2bm_ard_3-2-1_49KHQ_2017-11-04_final
2017-12-14 12:13:09	ga_s2bm_ard_3-2-1_49KHQ_2017-12-14_final
2018-05-03 12:13:20	ga_s2bm_ard_3-2-1_49KHQ_2018-05-03_final
2018-05-04 11:43:41	ga_s2bm_ard_3-2-1_50HQH_2018-05-04_final
2018-05-10 12:02:48	ga_s2bm_ard_3-2-1_49KHQ_2018-05-10_final
2018-05-23 12:13:19	ga_s2bm_ard_3-2-1_49JHN_2018-05-23_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLQ_2018-09-27_final
2018-09-27 12:04:56	ga_s2bm_ard_3-2-1_50JLR_2018-09-27_final
2018-10-27 12:02:47	ga_s2bm_ard_3-2-1_50JLS_2018-10-27_final
2018-11-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2018-11-06_final
2018-11-26 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2018-11-26_final
2018-11-26 12:04:53	ga_s2bm_ard_3-2-1_50JKS_2018-11-26_final
2018-11-30 11:46:26	ga_s2bm_ard_3-2-1_50HQK_2018-11-30_final
2018-12-13 11:54:38	ga_s2bm_ard_3-2-1_50JLT_2018-12-13_final
2019-02-28 11:46:52	ga_s2bm_ard_3-2-1_50HQH_2019-02-28_final
2019-09-02 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2019-09-02_final
2019-09-06 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2019-09-06_final
2019-09-15 12:14:04	ga_s2bm_ard_3-2-1_49KHQ_2019-09-15_final
2019-09-22 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2019-09-22_final
2019-11-21 12:04:51	ga_s2bm_ard_3-2-1_50JLS_2019-11-21_final
2019-11-21 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2019-11-21_final
2019-12-11 12:04:48	ga_s2bm_ard_3-2-1_50JLS_2019-12-11_final
2020-01-20 12:04:53	ga_s2bm_ard_3-2-1_50JMR_2020-01-20_final
2020-04-02 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-04-02 12:14:07	ga_s2bm_ard_3-2-1_49KHQ_2020-04-02_final
2020-07-12 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-12_final
2020-07-22 11:47:16	ga_s2bm_ard_3-2-1_50HLH_2020-07-22_final
2020-07-31 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2020-07-31_final
2020-09-23 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2020-09-23_final
2020-09-29 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2020-09-29_final
2020-11-12 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2020-11-12_final
2020-11-15 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2020-11-15_final
2021-09-08 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2021-09-08_final
2021-09-08 11:56:33	ga_s2bm_ard_3-2-1_50HMK_2021-09-08_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final
2021-09-11 12:04:55	ga_s2bm_ard_3-2-1_50JMR_2021-09-11_final
2021-09-11 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2021-09-11_final
2021-09-21 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-09-21_final
2021-10-18 11:56:27	ga_s2bm_ard_3-2-1_50JLL_2021-10-18_final
2021-10-21 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2021-10-21_final
2021-11-10 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2021-11-10_final
2021-11-27 11:55:08	ga_s2bm_ard_3-2-1_50JLR_2021-11-27_final
2021-12-20 12:05:03	ga_s2bm_ard_3-2-1_50JLR_2021-12-20_final
2022-01-06 11:56:22	ga_s2bm_ard_3-2-1_50JLL_2022-01-06_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
2022-01-26 11:56:20	ga_s2bm_ard_3-2-1_50JLL_2022-01-26_final
2022-02-22 11:46:48	ga_s2bm_ard_3-2-1_50HQH_2022-02-22_final
2022-02-28 12:05:04	ga_s2bm_ard_3-2-1_50JLR_2022-02-28_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
2022-04-19 12:04:39	ga_s2bm_ard_3-2-1_50JLS_2022-04-19_final
2022-04-19 12:05:18	ga_s2bm_ard_3-2-1_50JLQ_2022-04-19_final
2022-05-09 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-05-09_final
2022-05-29 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2022-05-29_final
2022-06-25 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-06-25_final
2022-07-12 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2022-07-12_final
2022-07-12 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-07-12_final
2022-08-27 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2022-08-27_final
2022-09-26 12:04:59	ga_s2bm_ard_3-2-1_50JMR_2022-09-26_final.stac-item
2022-09-26 12:05:09	ga_s2bm_ard_3-2-1_50JLR_2022-09-26_final.stac-item
2022-09-26 12:06:05	ga_s2bm_ard_3-2-1_50JLM_2022-09-26_final.stac-item
2022-10-06 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2022-10-06_final.stac-item
2022-10-10 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2022-10-10_final.stac-item
2022-10-13 11:56:10	ga_s2bm_ard_3-2-1_50JLM_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
2022-10-20 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2022-10-20_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
2022-11-02 11:56:23	ga_s2bm_ard_3-2-1_50JLL_2022-11-02_final.stac-item
2022-11-05 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2022-11-05_final.stac-item
2022-11-25 12:04:58	ga_s2bm_ard_3-2-1_50JMR_2022-11-25_final.stac-item
2022-12-15 12:04:57	ga_s2bm_ard_3-2-1_50JMR_2022-12-15_final.stac-item
2022-12-25 12:05:07	ga_s2bm_ard_3-2-1_50JLR_2022-12-25_final.stac-item
2023-01-01 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2023-01-01_final.stac-item
2023-01-14 12:04:50	ga_s2bm_ard_3-2-1_50JLS_2023-01-14_final.stac-item
2023-02-17 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-02-17_final.stac-item
2023-02-23 12:05:08	ga_s2bm_ard_3-2-1_50JLR_2023-02-23_final.stac-item
2023-02-23 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_2023-02-23_final.stac-item
2023-05-04 12:04:51	ga_s2bm_ard_3-2-1_50JMS_2023-05-04_final.stac-item
2023-06-07 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2023-06-07_final.stac-item
2023-06-30 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-06-30_final.stac-item
2023-06-30 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2023-06-30_final.stac-item
2023-07-17 11:47:26	ga_s2bm_ard_3-2-1_50HNG_2023-07-17_final.stac-item
2023-07-23 12:04:54	ga_s2bm_ard_3-2-1_50JMS_2023-07-23_final.stac-item
2023-08-09 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2023-08-09_final.stac-item
2023-08-19 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-08-19_final.stac-item
2023-08-22 12:04:53	ga_s2bm_ard_3-2-1_50JMS_2023-08-22_final.stac-item
2023-08-22 12:05:30	ga_s2bm_ard_3-2-1_50JLQ_2023-08-22_final.stac-item
2023-09-01 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2023-09-01_final.stac-item
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final.stac-item
2023-09-11 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-09-11_final.stac-item
2023-09-15 11:47:24	ga_s2bm_ard_3-2-1_50HNG_2023-09-15_final.stac-item
2023-10-31 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2023-10-31_final.stac-item
2023-10-31 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-31_final.stac-item
2024-01-29 12:05:06	ga_s2bm_ard_3-2-1_50JLR_2024-01-29_final.stac-item
2024-01-29 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2024-01-29_final.stac-item
2024-02-12 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2024-02-12_final.stac-item
2024-02-18 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2024-02-18_final.stac-item
2024-02-22 11:47:27	ga_s2bm_ard_3-2-1_50HLG_2024-02-22_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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