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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

55 results

Time (local)	Label
2017-08-10 10:11:05	ga_s2bm_ard_3-2-1_54JWQ_2017-08-10_final
2017-10-02 10:16:50	ga_s2bm_ard_3-2-1_54KVB_2017-10-02_final
2017-10-19 11:51:53	ga_s2bm_ard_3-2-1_50JNR_2017-10-19_final
2017-11-03 10:57:02	ga_s2bm_ard_3-2-1_52KGB_2017-11-03_final
2017-11-18 10:13:29	ga_s2bm_ard_3-2-1_54JWN_2017-11-18_final
2017-12-05 09:56:56	ga_s2bm_ard_3-2-1_55KCU_2017-12-05_final
2017-12-12 09:51:43	ga_s2bm_ard_3-2-1_55HBC_2017-12-12_final
2018-03-31 10:17:02	ga_s2bm_ard_3-2-1_54KVB_2018-03-31_final
2018-04-01 09:50:50	ga_s2bm_ard_3-2-1_55JDL_2018-04-01_final
2018-05-18 09:41:07	ga_s2bm_ard_3-2-1_55JFG_2018-05-18_final
2018-06-07 09:41:06	ga_s2bm_ard_3-2-1_55JFG_2018-06-07_final
2018-06-30 09:50:53	ga_s2bm_ard_3-2-1_55HCE_2018-06-30_final
2018-09-14 11:52:51	ga_s2bm_ard_3-2-1_50JMT_2018-09-14_final
2018-10-29 11:01:40	ga_s2bm_ard_3-2-1_52KGE_2018-10-29_final
2018-11-23 10:13:34	ga_s2bm_ard_3-2-1_54KYU_2018-11-23_final
2019-01-05 12:03:54	ga_s2bm_ard_3-2-1_50KLA_2019-01-05_final
2019-01-26 09:55:21	ga_s2bm_ard_3-2-1_55JCG_2019-01-26_final
2019-04-03 11:22:25	ga_s2bm_ard_3-2-1_52KBF_2019-04-03_final
2019-04-12 10:13:42	ga_s2bm_ard_3-2-1_54KYU_2019-04-12_final
2019-05-08 10:33:10	ga_s2bm_ard_3-2-1_53KRS_2019-05-08_final
2019-07-21 11:53:47	ga_s2bm_ard_3-2-1_50KNB_2019-07-21_final
2019-07-29 11:12:54	ga_s2bm_ard_3-2-1_52KED_2019-07-29_final
2019-08-21 11:24:42	ga_s2bm_ard_3-2-1_51JYM_2019-08-21_final
2019-09-06 11:44:04	ga_s2bm_ard_3-2-1_50KRV_2019-09-06_final
2019-09-06 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2019-09-06_final
2019-09-15 10:32:29	ga_s2bm_ard_3-2-1_54KUD_2019-09-15_final
2019-10-13 11:32:59	ga_s2bm_ard_3-2-1_51KWU_2019-10-13_final
2019-10-23 09:54:32	ga_s2bm_ard_3-2-1_55JEK_2019-10-23_final
2020-03-17 11:53:04	ga_s2bm_ard_3-2-1_50KPD_2020-03-17_final.stac-item
2020-08-21 11:44:20	ga_s2bm_ard_3-2-1_50KRU_2020-08-21_final
2020-10-04 09:44:46	ga_s2bm_ard_3-2-1_55JGJ_2020-10-04_final
2020-11-29 10:03:35	ga_s2bm_ard_3-2-1_55KCP_2020-11-29_final
2021-01-28 11:44:01	ga_s2bm_ard_3-2-1_51KTQ_2021-01-28_final
2021-05-08 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2021-05-08_final
2021-07-24 11:33:29	ga_s2bm_ard_3-2-1_51KWS_2021-07-24_final
2021-09-22 09:54:17	ga_s2bm_ard_3-2-1_55JDL_2021-09-22_final
2021-12-16 10:42:01	ga_s2bm_ard_3-2-1_53KPA_2021-12-16_final
2021-12-25 11:14:33	ga_s2bm_ard_3-2-1_52JBS_2021-12-25_final
2022-04-21 11:05:00	ga_s2bm_ard_3-2-1_52JDQ_2022-04-21_final
2022-06-16 09:44:32	ga_s2bm_ard_3-2-1_55JGK_2022-06-16_final
2022-07-30 11:01:17	ga_s2bm_ard_3-2-1_53LKE_2022-07-30_final
2022-08-01 10:05:10	ga_s2bm_ard_3-2-1_55JBH_2022-08-01_final
2022-08-14 10:12:14	ga_s2bm_ard_3-2-1_54KYE_2022-08-14_final
2023-01-25 09:55:16	ga_s2bm_ard_3-2-1_55JDG_2023-01-25_final.stac-item
2023-03-02 10:15:12	ga_s2bm_ard_3-2-1_54JWN_2023-03-02_final.stac-item
2023-06-24 11:35:02	ga_s2bm_ard_3-2-1_51JVL_2023-06-24_final.stac-item
2023-07-30 10:12:45	ga_s2bm_ard_3-2-1_54KYC_2023-07-30_final.stac-item
2023-07-31 11:22:14	ga_s2bm_ard_3-2-1_51KZB_2023-07-31_final.stac-item
2023-08-07 11:13:42	ga_s2bm_ard_3-2-1_52KCA_2023-08-07_final.stac-item
2023-08-26 11:42:35	ga_s2bm_ard_3-2-1_51KUA_2023-08-26_final.stac-item
2023-11-17 10:15:57	ga_s2bm_ard_3-2-1_54HVK_2023-11-17_final.stac-item
2023-11-19 10:55:29	ga_s2bm_ard_3-2-1_52JFN_2023-11-19_final.stac-item
2024-01-03 11:41:48	ga_s2bm_ard_3-2-1_51LUD_2024-01-03_final.stac-item
2024-01-26 11:53:38	ga_s2bm_ard_3-2-1_50KNB_2024-01-26_final.stac-item
2024-04-01 12:14:30	ga_s2bm_ard_3-2-1_49KFP_2024-04-01_nrt.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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