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
2019-05-01 10:44:20	ga_s2bm_ard_3-2-1_53JLN_2019-05-01_final
2019-05-02 10:15:45	ga_s2bm_ard_3-2-1_54JXL_2019-05-02_final
2019-05-02 10:16:03	ga_s2bm_ard_3-2-1_54HWK_2019-05-02_final
2019-05-02 10:16:08	ga_s2bm_ard_3-2-1_54HXJ_2019-05-02_final
2019-05-02 11:53:54	ga_s2bm_ard_3-2-1_50KQA_2019-05-02_final
2019-05-02 11:54:08	ga_s2bm_ard_3-2-1_50KQV_2019-05-02_final
2019-05-02 11:54:21	ga_s2bm_ard_3-2-1_50KQU_2019-05-02_final
2019-05-02 11:54:30	ga_s2bm_ard_3-2-1_50KNU_2019-05-02_final
2019-05-02 11:54:56	ga_s2bm_ard_3-2-1_50JMT_2019-05-02_final
2019-05-02 11:55:00	ga_s2bm_ard_3-2-1_50JPS_2019-05-02_final
2019-05-02 11:55:06	ga_s2bm_ard_3-2-1_50JLS_2019-05-02_final
2019-05-02 11:55:14	ga_s2bm_ard_3-2-1_50JNR_2019-05-02_final
2019-05-02 11:55:17	ga_s2bm_ard_3-2-1_50JMR_2019-05-02_final
2019-05-02 11:55:28	ga_s2bm_ard_3-2-1_50JNQ_2019-05-02_final
2019-05-02 11:55:42	ga_s2bm_ard_3-2-1_50JNP_2019-05-02_final
2019-05-02 11:55:46	ga_s2bm_ard_3-2-1_50JMP_2019-05-02_final
2019-05-02 11:55:57	ga_s2bm_ard_3-2-1_50JNN_2019-05-02_final
2019-05-02 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-05-02_final
2019-05-02 11:56:04	ga_s2bm_ard_3-2-1_50JLN_2019-05-02_final
2019-05-04 10:53:36	ga_s2bm_ard_3-2-1_53KKR_2019-05-04_final
2019-05-04 10:53:36	ga_s2bm_ard_3-2-1_52KHA_2019-05-04_final
2019-05-04 10:54:20	ga_s2bm_ard_3-2-1_53JKN_2019-05-04_final
2019-05-05 12:04:04	ga_s2bm_ard_3-2-1_50KLA_2019-05-05_final
2019-05-05 12:05:16	ga_s2bm_ard_3-2-1_50JLR_2019-05-05_final
2019-05-06 11:33:53	ga_s2bm_ard_3-2-1_51KVR_2019-05-06_final
2019-05-06 11:33:56	ga_s2bm_ard_3-2-1_51KUR_2019-05-06_final
2019-05-06 11:34:22	ga_s2bm_ard_3-2-1_51KVP_2019-05-06_final
2019-05-06 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-05-06_final
2019-05-06 11:34:44	ga_s2bm_ard_3-2-1_51JTN_2019-05-06_final
2019-05-06 11:34:57	ga_s2bm_ard_3-2-1_51JTM_2019-05-06_final
2019-05-07 11:03:07	ga_s2bm_ard_3-2-1_52KGC_2019-05-07_final
2019-05-07 11:03:17	ga_s2bm_ard_3-2-1_52KHB_2019-05-07_final
2019-05-09 11:43:37	ga_s2bm_ard_3-2-1_51KUS_2019-05-09_final
2019-05-09 11:43:45	ga_s2bm_ard_3-2-1_50KQB_2019-05-09_final
2019-05-09 11:43:59	ga_s2bm_ard_3-2-1_50KQA_2019-05-09_final
2019-05-09 11:44:10	ga_s2bm_ard_3-2-1_51KTQ_2019-05-09_final
2019-05-09 11:44:46	ga_s2bm_ard_3-2-1_50JPT_2019-05-09_final
2019-05-09 11:44:57	ga_s2bm_ard_3-2-1_50JQS_2019-05-09_final
2019-05-09 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-09_final
2019-05-09 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-09_final
2019-05-09 11:45:20	ga_s2bm_ard_3-2-1_50JNR_2019-05-09_final
2019-05-11 10:44:21	ga_s2bm_ard_3-2-1_53JLN_2019-05-11_final
2019-05-12 10:16:03	ga_s2bm_ard_3-2-1_54HWK_2019-05-12_final
2019-05-12 11:54:09	ga_s2bm_ard_3-2-1_50KQV_2019-05-12_final
2019-05-12 11:54:23	ga_s2bm_ard_3-2-1_50KNU_2019-05-12_final
2019-05-12 11:54:42	ga_s2bm_ard_3-2-1_50JPT_2019-05-12_final
2019-05-12 11:54:49	ga_s2bm_ard_3-2-1_50JMT_2019-05-12_final
2019-05-12 11:55:03	ga_s2bm_ard_3-2-1_50JMS_2019-05-12_final
2019-05-12 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2019-05-12_final
2019-05-14 10:53:36	ga_s2bm_ard_3-2-1_53KKR_2019-05-14_final
2019-05-14 10:53:37	ga_s2bm_ard_3-2-1_52KHA_2019-05-14_final
2019-05-14 10:53:51	ga_s2bm_ard_3-2-1_53KKQ_2019-05-14_final
2019-05-14 10:54:17	ga_s2bm_ard_3-2-1_53JLN_2019-05-14_final
2019-05-15 12:04:44	ga_s2bm_ard_3-2-1_50JMT_2019-05-15_final
2019-05-16 11:33:43	ga_s2bm_ard_3-2-1_51KUS_2019-05-16_final
2019-05-16 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-05-16_final
2019-05-16 11:33:56	ga_s2bm_ard_3-2-1_51KUR_2019-05-16_final
2019-05-16 11:34:40	ga_s2bm_ard_3-2-1_51JUN_2019-05-16_final
2019-05-19 10:06:08	ga_s2bm_ard_3-2-1_54HWK_2019-05-19_final
2019-05-19 11:43:41	ga_s2bm_ard_3-2-1_51KTS_2019-05-19_final
2019-05-19 11:43:45	ga_s2bm_ard_3-2-1_50KQB_2019-05-19_final
2019-05-19 11:44:00	ga_s2bm_ard_3-2-1_50KQA_2019-05-19_final
2019-05-19 11:44:10	ga_s2bm_ard_3-2-1_51KTQ_2019-05-19_final
2019-05-19 11:44:36	ga_s2bm_ard_3-2-1_51JUN_2019-05-19_final
2019-05-19 11:44:54	ga_s2bm_ard_3-2-1_51JTM_2019-05-19_final
2019-05-19 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-19_final
2019-05-19 11:45:20	ga_s2bm_ard_3-2-1_50JNR_2019-05-19_final
2019-05-19 11:45:26	ga_s2bm_ard_3-2-1_50JQQ_2019-05-19_final
2019-05-19 11:46:03	ga_s2bm_ard_3-2-1_50JNN_2019-05-19_final
2019-05-22 11:53:59	ga_s2bm_ard_3-2-1_50KPA_2019-05-22_final
2019-05-22 11:54:17	ga_s2bm_ard_3-2-1_50KNV_2019-05-22_final
2019-05-22 11:54:35	ga_s2bm_ard_3-2-1_50KMU_2019-05-22_final
2019-05-22 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2019-05-22_final
2019-05-22 11:54:52	ga_s2bm_ard_3-2-1_50JMT_2019-05-22_final
2019-05-22 11:54:56	ga_s2bm_ard_3-2-1_50JPS_2019-05-22_final
2019-05-22 11:55:33	ga_s2bm_ard_3-2-1_50JMQ_2019-05-22_final
2019-05-23 11:24:35	ga_s2bm_ard_3-2-1_51JXN_2019-05-23_final
2019-05-23 11:25:51	ga_s2bm_ard_3-2-1_51JWH_2019-05-23_final
2019-05-24 10:53:37	ga_s2bm_ard_3-2-1_53KKR_2019-05-24_final
2019-05-24 10:53:37	ga_s2bm_ard_3-2-1_52KHA_2019-05-24_final
2019-05-25 12:04:30	ga_s2bm_ard_3-2-1_50KMU_2019-05-25_final
2019-05-25 12:05:02	ga_s2bm_ard_3-2-1_50JLS_2019-05-25_final
2019-05-26 11:33:17	ga_s2bm_ard_3-2-1_51KXT_2019-05-26_final
2019-05-26 11:33:54	ga_s2bm_ard_3-2-1_51KVR_2019-05-26_final
2019-05-26 11:34:24	ga_s2bm_ard_3-2-1_51JXN_2019-05-26_final
2019-05-26 11:34:33	ga_s2bm_ard_3-2-1_51JWN_2019-05-26_final
2019-05-26 11:34:46	ga_s2bm_ard_3-2-1_51JUN_2019-05-26_final
2019-05-27 11:03:27	ga_s2bm_ard_3-2-1_53KKR_2019-05-27_final
2019-05-27 11:03:31	ga_s2bm_ard_3-2-1_52KHA_2019-05-27_final
2019-05-29 10:06:07	ga_s2bm_ard_3-2-1_54HWK_2019-05-29_final
2019-05-29 11:43:45	ga_s2bm_ard_3-2-1_50KQB_2019-05-29_final
2019-05-29 11:43:52	ga_s2bm_ard_3-2-1_51KUR_2019-05-29_final
2019-05-29 11:44:10	ga_s2bm_ard_3-2-1_51KTQ_2019-05-29_final
2019-05-29 11:44:36	ga_s2bm_ard_3-2-1_51JUN_2019-05-29_final
2019-05-29 11:44:54	ga_s2bm_ard_3-2-1_51JTM_2019-05-29_final
2019-05-29 11:45:01	ga_s2bm_ard_3-2-1_50JPS_2019-05-29_final
2019-05-29 11:45:12	ga_s2bm_ard_3-2-1_50JQR_2019-05-29_final
2019-05-29 11:45:26	ga_s2bm_ard_3-2-1_50JQQ_2019-05-29_final
2019-05-29 11:45:33	ga_s2bm_ard_3-2-1_50JNQ_2019-05-29_final
2019-05-31 10:43:05	ga_s2bm_ard_3-2-1_53KMT_2019-05-31_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