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
2022-06-01 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-06-01_final
2022-06-01 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2022-06-01_final
2022-06-02 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2022-06-02_final
2022-06-02 11:45:39	ga_s2bm_ard_3-2-1_50JNP_2022-06-02_final
2022-06-02 11:45:42	ga_s2bm_ard_3-2-1_50JPP_2022-06-02_final
2022-06-02 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2022-06-02_final
2022-06-02 11:45:45	ga_s2bm_ard_3-2-1_50JPN_2022-06-02_final
2022-06-02 11:45:46	ga_s2bm_ard_3-2-1_50JNN_2022-06-02_final
2022-06-02 11:45:50	ga_s2bm_ard_3-2-1_50JPN_2022-06-02_final
2022-06-02 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2022-06-02_final
2022-06-05 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2022-06-05_final
2022-06-05 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2022-06-05_final
2022-06-05 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2022-06-05_final
2022-06-05 11:55:24	ga_s2bm_ard_3-2-1_50JMQ_2022-06-05_final
2022-06-05 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2022-06-05_final
2022-06-05 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2022-06-05_final
2022-06-05 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2022-06-05_final
2022-06-05 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2022-06-05_final
2022-06-08 12:04:43	ga_s2bm_ard_3-2-1_49JGN_2022-06-08_final
2022-06-08 12:04:45	ga_s2bm_ard_3-2-1_50JLS_2022-06-08_final
2022-06-08 12:04:55	ga_s2bm_ard_3-2-1_50JLS_2022-06-08_final
2022-06-08 12:05:00	ga_s2bm_ard_3-2-1_50JMR_2022-06-08_final
2022-06-11 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2022-06-11_final
2022-06-12 11:45:39	ga_s2bm_ard_3-2-1_50JPP_2022-06-12_final
2022-06-12 11:45:42	ga_s2bm_ard_3-2-1_50JNP_2022-06-12_final
2022-06-12 11:45:53	ga_s2bm_ard_3-2-1_50JPN_2022-06-12_final
2022-06-12 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2022-06-12_final
2022-06-15 11:55:01	ga_s2bm_ard_3-2-1_50JLS_2022-06-15_final
2022-06-15 11:55:13	ga_s2bm_ard_3-2-1_50JMR_2022-06-15_final
2022-06-15 11:55:16	ga_s2bm_ard_3-2-1_50JLR_2022-06-15_final
2022-06-15 11:55:27	ga_s2bm_ard_3-2-1_50JMQ_2022-06-15_final
2022-06-15 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2022-06-15_final
2022-06-15 11:55:38	ga_s2bm_ard_3-2-1_50JNP_2022-06-15_final
2022-06-15 11:55:42	ga_s2bm_ard_3-2-1_50JMP_2022-06-15_final
2022-06-15 11:55:53	ga_s2bm_ard_3-2-1_50JNN_2022-06-15_final
2022-06-18 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-06-18_final
2022-06-18 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2022-06-18_final
2022-06-18 12:05:02	ga_s2bm_ard_3-2-1_50JMR_2022-06-18_final
2022-06-18 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2022-06-18_final
2022-06-21 12:13:59	ga_s2bm_ard_3-2-1_49KHR_2022-06-21_final
2022-06-22 11:45:40	ga_s2bm_ard_3-2-1_50JPP_2022-06-22_final
2022-06-22 11:45:44	ga_s2bm_ard_3-2-1_50JNP_2022-06-22_final
2022-06-22 11:45:55	ga_s2bm_ard_3-2-1_50JPN_2022-06-22_final
2022-06-22 11:45:58	ga_s2bm_ard_3-2-1_50JNN_2022-06-22_final
2022-06-25 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2022-06-25_final
2022-06-25 11:55:17	ga_s2bm_ard_3-2-1_50JLR_2022-06-25_final
2022-06-25 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2022-06-25_final
2022-06-25 11:55:31	ga_s2bm_ard_3-2-1_50JPP_2022-06-25_final
2022-06-25 11:55:40	ga_s2bm_ard_3-2-1_50JNP_2022-06-25_final
2022-06-25 11:55:43	ga_s2bm_ard_3-2-1_50JMP_2022-06-25_final
2022-06-25 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2022-06-25_final
2022-06-28 12:04:04	ga_s2bm_ard_3-2-1_49KHR_2022-06-28_final
2022-06-28 12:04:59	ga_s2bm_ard_3-2-1_50JLS_2022-06-28_final
2022-06-28 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-06-28_final
2022-06-28 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2022-06-28_final
2022-07-02 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2022-07-02_final
2022-07-02 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2022-07-02_final
2022-07-02 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2022-07-02_final
2022-07-02 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-07-02_final
2022-07-02 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-02_final
2022-07-02 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-02_final
2022-07-02 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-02_final
2022-07-02 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-02_final
2022-07-05 11:55:29	ga_s2bm_ard_3-2-1_50JMQ_2022-07-05_final
2022-07-05 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-05_final
2022-07-05 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-07-05_final
2022-07-05 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-07-05_final
2022-07-08 12:05:13	ga_s2bm_ard_3-2-1_50JLR_2022-07-08_final
2022-07-09 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-09_final
2022-07-09 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-09_final
2022-07-09 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-09_final
2022-07-12 11:46:05	ga_s2bm_ard_3-2-1_50JQM_2022-07-12_final
2022-07-12 11:46:09	ga_s2bm_ard_3-2-1_50JPM_2022-07-12_final
2022-07-12 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2022-07-12_final
2022-07-12 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2022-07-12_final
2022-07-12 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2022-07-12_final
2022-07-12 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-12_final
2022-07-12 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-12_final
2022-07-12 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2022-07-12_final
2022-07-15 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2022-07-15_final
2022-07-15 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2022-07-15_final
2022-07-15 11:57:13	ga_s2bm_ard_3-2-1_50HLH_2022-07-15_final
2022-07-19 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-19_final
2022-07-19 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-19_final
2022-07-19 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2022-07-19_final
2022-07-22 11:45:41	ga_s2bm_ard_3-2-1_50JPP_2022-07-22_final
2022-07-22 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2022-07-22_final
2022-07-22 11:46:20	ga_s2bm_ard_3-2-1_50JQL_2022-07-22_final
2022-07-22 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2022-07-22_final
2022-07-22 11:46:57	ga_s2bm_ard_3-2-1_50HNJ_2022-07-22_final
2022-07-22 11:46:58	ga_s2bm_ard_3-2-1_50HQH_2022-07-22_final
2022-07-22 11:47:00	ga_s2bm_ard_3-2-1_50HMJ_2022-07-22_final
2022-07-22 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2022-07-22_final
2022-07-22 11:47:19	ga_s2bm_ard_3-2-1_50HLH_2022-07-22_final
2022-07-25 11:56:45	ga_s2bm_ard_3-2-1_50HLK_2022-07-25_final
2022-07-25 11:56:56	ga_s2bm_ard_3-2-1_50HMJ_2022-07-25_final
2022-07-25 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2022-07-25_final
2022-07-25 11:57:14	ga_s2bm_ard_3-2-1_50HLH_2022-07-25_final
2022-07-29 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2022-07-29_final
2022-07-29 11:36:53	ga_s2bm_ard_3-2-1_50HQJ_2022-07-29_final

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

All years