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
2021-09-01 12:03:20	ga_s2bm_ard_3-2-1_50KMC_2021-09-01_final
2021-09-01 12:03:38	ga_s2bm_ard_3-2-1_50KLB_2021-09-01_final
2021-09-01 12:03:52	ga_s2bm_ard_3-2-1_50KLA_2021-09-01_final
2021-09-01 12:04:44	ga_s2bm_ard_3-2-1_50JKS_2021-09-01_final
2021-09-01 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2021-09-01_final
2021-09-01 12:04:45	ga_s2bm_ard_3-2-1_49JHM_2021-09-01_final
2021-09-01 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-09-01_final
2021-09-01 12:05:23	ga_s2bm_ard_3-2-1_50JKQ_2021-09-01_final
2021-09-01 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-09-01_final
2021-09-01 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-09-01_final
2021-09-01 12:06:01	ga_s2bm_ard_3-2-1_50JLM_2021-09-01_final
2021-09-02 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-09-02_final
2021-09-05 11:44:45	ga_s2bm_ard_3-2-1_50JQS_2021-09-05_final
2021-09-05 11:44:49	ga_s2bm_ard_3-2-1_50JPS_2021-09-05_final
2021-09-05 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2021-09-05_final
2021-09-05 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2021-09-05_final
2021-09-05 11:46:19	ga_s2bm_ard_3-2-1_50JNL_2021-09-05_final
2021-09-05 11:46:34	ga_s2bm_ard_3-2-1_50HNK_2021-09-05_final
2021-09-05 11:46:40	ga_s2bm_ard_3-2-1_50HQJ_2021-09-05_final
2021-09-05 11:46:50	ga_s2bm_ard_3-2-1_50HQH_2021-09-05_final
2021-09-05 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2021-09-05_final
2021-09-08 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2021-09-08_final
2021-09-08 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2021-09-08_final
2021-09-08 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2021-09-08_final
2021-09-08 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-09-08_final
2021-09-08 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2021-09-08_final
2021-09-08 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2021-09-08_final
2021-09-08 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2021-09-08_final
2021-09-08 11:56:26	ga_s2bm_ard_3-2-1_50HNK_2021-09-08_final
2021-09-08 11:56:37	ga_s2bm_ard_3-2-1_50HLK_2021-09-08_final
2021-09-08 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2021-09-08_final
2021-09-11 12:03:37	ga_s2bm_ard_3-2-1_50KLB_2021-09-11_final
2021-09-11 12:04:21	ga_s2bm_ard_3-2-1_50KMU_2021-09-11_final
2021-09-11 12:04:44	ga_s2bm_ard_3-2-1_50JKS_2021-09-11_final
2021-09-11 12:04:46	ga_s2bm_ard_3-2-1_49JGN_2021-09-11_final
2021-09-11 12:04:57	ga_s2bm_ard_3-2-1_49JGM_2021-09-11_final
2021-09-11 12:05:19	ga_s2bm_ard_3-2-1_50JLQ_2021-09-11_final
2021-09-11 12:05:34	ga_s2bm_ard_3-2-1_50JLP_2021-09-11_final
2021-09-11 12:05:37	ga_s2bm_ard_3-2-1_50JKP_2021-09-11_final
2021-09-11 12:05:52	ga_s2bm_ard_3-2-1_50JKN_2021-09-11_final
2021-09-12 11:36:23	ga_s2bm_ard_3-2-1_50JPL_2021-09-12_final
2021-09-12 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2021-09-12_final
2021-09-12 11:36:59	ga_s2bm_ard_3-2-1_50HQH_2021-09-12_final
2021-09-14 12:14:51	ga_s2bm_ard_3-2-1_49JGM_2021-09-14_final
2021-09-15 11:44:48	ga_s2bm_ard_3-2-1_50JPS_2021-09-15_final
2021-09-15 11:44:59	ga_s2bm_ard_3-2-1_50JQR_2021-09-15_final
2021-09-15 11:45:14	ga_s2bm_ard_3-2-1_50JQQ_2021-09-15_final
2021-09-15 11:45:57	ga_s2bm_ard_3-2-1_50JNM_2021-09-15_final
2021-09-15 11:46:09	ga_s2bm_ard_3-2-1_50JMM_2021-09-15_final
2021-09-15 11:46:15	ga_s2bm_ard_3-2-1_50JPL_2021-09-15_final
2021-09-15 11:46:30	ga_s2bm_ard_3-2-1_50HPK_2021-09-15_final
2021-09-15 11:46:39	ga_s2bm_ard_3-2-1_50HQJ_2021-09-15_final
2021-09-15 11:47:02	ga_s2bm_ard_3-2-1_50HNH_2021-09-15_final
2021-09-15 11:47:06	ga_s2bm_ard_3-2-1_50HMH_2021-09-15_final
2021-09-18 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2021-09-18_final
2021-09-18 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2021-09-18_final
2021-09-18 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2021-09-18_final
2021-09-18 11:55:38	ga_s2bm_ard_3-2-1_50JLP_2021-09-18_final
2021-09-18 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2021-09-18_final
2021-09-18 11:55:49	ga_s2bm_ard_3-2-1_50JMN_2021-09-18_final
2021-09-18 11:55:56	ga_s2bm_ard_3-2-1_50JKN_2021-09-18_final
2021-09-18 11:56:01	ga_s2bm_ard_3-2-1_50JNM_2021-09-18_final
2021-09-18 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2021-09-18_final
2021-09-18 11:56:51	ga_s2bm_ard_3-2-1_50HLJ_2021-09-18_final
2021-09-18 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2021-09-18_final
2021-09-21 12:03:15	ga_s2bm_ard_3-2-1_50KMC_2021-09-21_final
2021-09-21 12:03:22	ga_s2bm_ard_3-2-1_50KMC_2021-09-21_final
2021-09-21 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2021-09-21_final
2021-09-21 12:04:54	ga_s2bm_ard_3-2-1_49JHM_2021-09-21_final
2021-09-21 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-09-21_final
2021-09-21 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2021-09-21_final
2021-09-21 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2021-09-21_final
2021-09-21 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2021-09-21_final
2021-09-21 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2021-09-21_final
2021-09-22 11:36:24	ga_s2bm_ard_3-2-1_50JPL_2021-09-22_final
2021-09-22 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2021-09-22_final
2021-09-22 11:36:46	ga_s2bm_ard_3-2-1_50HQJ_2021-09-22_final
2021-09-22 11:37:00	ga_s2bm_ard_3-2-1_50HQH_2021-09-22_final
2021-09-25 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2021-09-25_final
2021-09-25 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2021-09-25_final
2021-09-25 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2021-09-25_final
2021-09-25 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2021-09-25_final
2021-09-25 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2021-09-25_final
2021-09-25 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2021-09-25_final
2021-09-25 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2021-09-25_final
2021-09-25 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2021-09-25_final
2021-09-25 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2021-09-25_final
2021-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2021-09-25_final
2021-09-25 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2021-09-25_final
2021-09-28 11:54:36	ga_s2bm_ard_3-2-1_50JNT_2021-09-28_final
2021-09-28 11:54:47	ga_s2bm_ard_3-2-1_50JPS_2021-09-28_final
2021-09-28 11:54:50	ga_s2bm_ard_3-2-1_50JNS_2021-09-28_final
2021-09-28 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2021-09-28_final
2021-09-28 11:55:52	ga_s2bm_ard_3-2-1_50JMN_2021-09-28_final
2021-09-28 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2021-09-28_final
2021-09-28 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2021-09-28_final
2021-09-28 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2021-09-28_final
2021-09-28 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2021-09-28_final
2021-09-28 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2021-09-28_final
2021-09-28 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2021-09-28_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