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
2022-04-02 12:13:46	ga_s2bm_ard_3-2-1_49KGR_2022-04-02_final
2022-04-02 12:14:38	ga_s2bm_ard_3-2-1_49JGN_2022-04-02_final
2022-04-03 11:45:08	ga_s2bm_ard_3-2-1_50JNR_2022-04-03_final
2022-04-03 11:45:21	ga_s2bm_ard_3-2-1_50JNQ_2022-04-03_final
2022-04-03 11:45:32	ga_s2bm_ard_3-2-1_50JPP_2022-04-03_final
2022-04-06 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2022-04-06_final
2022-04-06 11:55:17	ga_s2bm_ard_3-2-1_50JNQ_2022-04-06_final
2022-04-06 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2022-04-06_final
2022-04-06 11:55:35	ga_s2bm_ard_3-2-1_50JMP_2022-04-06_final
2022-04-10 11:34:34	ga_s2bm_ard_3-2-1_50JRT_2022-04-10_final
2022-04-13 11:45:41	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-04-13 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2022-04-13_final
2022-04-16 11:55:06	ga_s2bm_ard_3-2-1_50JMR_2022-04-16_final
2022-04-19 12:04:40	ga_s2bm_ard_3-2-1_50JLT_2022-04-19_final
2022-04-20 11:34:32	ga_s2bm_ard_3-2-1_50JRT_2022-04-20_final
2022-04-23 11:44:58	ga_s2bm_ard_3-2-1_50JQR_2022-04-23_final
2022-04-23 11:45:12	ga_s2bm_ard_3-2-1_50JQQ_2022-04-23_final
2022-04-23 11:45:39	ga_s2bm_ard_3-2-1_50JPN_2022-04-23_final
2022-04-26 11:55:00	ga_s2bm_ard_3-2-1_50JNR_2022-04-26_final
2022-04-26 11:55:20	ga_s2bm_ard_3-2-1_50JPP_2022-04-26_final
2022-04-26 11:55:32	ga_s2bm_ard_3-2-1_50JMP_2022-04-26_final
2022-04-26 11:55:35	ga_s2bm_ard_3-2-1_50JLP_2022-04-26_final
2022-04-29 12:04:06	ga_s2bm_ard_3-2-1_49KHQ_2022-04-29_final
2022-04-29 12:04:24	ga_s2bm_ard_3-2-1_49KGP_2022-04-29_final
2022-04-29 12:04:52	ga_s2bm_ard_3-2-1_50JMR_2022-04-29_final
2022-05-03 11:45:52	ga_s2bm_ard_3-2-1_51JTG_2022-05-03_final
2022-05-03 11:45:55	ga_s2bm_ard_3-2-1_50JQM_2022-05-03_final
2022-05-03 11:46:00	ga_s2bm_ard_3-2-1_50JPM_2022-05-03_final
2022-05-03 11:46:02	ga_s2bm_ard_3-2-1_51JTF_2022-05-03_final
2022-05-03 11:46:21	ga_s2bm_ard_3-2-1_50JML_2022-05-03_final
2022-05-03 11:46:28	ga_s2bm_ard_3-2-1_50HPK_2022-05-03_final
2022-05-03 11:46:32	ga_s2bm_ard_3-2-1_50HNK_2022-05-03_final
2022-05-03 11:46:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-03_final
2022-05-03 11:46:43	ga_s2bm_ard_3-2-1_50HPJ_2022-05-03_final
2022-05-03 11:46:46	ga_s2bm_ard_3-2-1_50HNJ_2022-05-03_final
2022-05-03 11:46:57	ga_s2bm_ard_3-2-1_50HPH_2022-05-03_final
2022-05-03 11:47:01	ga_s2bm_ard_3-2-1_50HNH_2022-05-03_final
2022-05-03 11:47:04	ga_s2bm_ard_3-2-1_50HMH_2022-05-03_final
2022-05-03 11:47:09	ga_s2bm_ard_3-2-1_50HLH_2022-05-03_final
2022-05-06 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2022-05-06_final
2022-05-06 11:56:14	ga_s2bm_ard_3-2-1_50JNL_2022-05-06_final
2022-05-06 11:56:18	ga_s2bm_ard_3-2-1_50JML_2022-05-06_final
2022-05-06 11:56:32	ga_s2bm_ard_3-2-1_50HMK_2022-05-06_final
2022-05-06 11:56:36	ga_s2bm_ard_3-2-1_50HLK_2022-05-06_final
2022-05-06 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2022-05-06_final
2022-05-06 11:57:05	ga_s2bm_ard_3-2-1_50HLH_2022-05-06_final
2022-05-10 11:36:02	ga_s2bm_ard_3-2-1_50JQM_2022-05-10_final
2022-05-10 11:36:17	ga_s2bm_ard_3-2-1_50JQL_2022-05-10_final
2022-05-10 11:36:35	ga_s2bm_ard_3-2-1_50HPK_2022-05-10_final
2022-05-10 11:37:04	ga_s2bm_ard_3-2-1_50HPH_2022-05-10_final
2022-05-13 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-05-13_final
2022-05-13 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2022-05-13_final
2022-05-13 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-05-13_final
2022-05-13 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-05-13_final
2022-05-13 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-05-13_final
2022-05-13 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-05-13_final
2022-05-13 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-05-13_final
2022-05-13 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-05-13_final
2022-05-13 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-05-13_final
2022-05-13 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2022-05-13_final
2022-05-13 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_2022-05-13_final
2022-05-13 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-05-13_final
2022-05-13 11:47:01	ga_s2bm_ard_3-2-1_50HPH_2022-05-13_final
2022-05-13 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-05-13_final
2022-05-13 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-05-13_final
2022-05-13 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2022-05-13_final
2022-05-16 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2022-05-16_final
2022-05-16 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-05-16_final
2022-05-16 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-05-16_final
2022-05-16 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-05-16_final
2022-05-16 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-05-16_final
2022-05-16 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-05-16_final
2022-05-16 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_2022-05-16_final
2022-05-16 11:57:05	ga_s2bm_ard_3-2-1_50HMH_2022-05-16_final
2022-05-17 11:26:46	ga_s2bm_ard_3-2-1_51HUD_2022-05-17_final
2022-05-20 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-05-20_final
2022-05-20 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2022-05-20_final
2022-05-20 11:36:38	ga_s2bm_ard_3-2-1_50HPK_2022-05-20_final
2022-05-20 11:37:06	ga_s2bm_ard_3-2-1_50HPH_2022-05-20_final
2022-05-23 11:46:01	ga_s2bm_ard_3-2-1_50JQM_2022-05-23_final
2022-05-23 11:46:05	ga_s2bm_ard_3-2-1_50JPM_2022-05-23_final
2022-05-23 11:46:08	ga_s2bm_ard_3-2-1_50JNM_2022-05-23_final
2022-05-23 11:46:15	ga_s2bm_ard_3-2-1_50JQL_2022-05-23_final
2022-05-23 11:46:23	ga_s2bm_ard_3-2-1_50JNL_2022-05-23_final
2022-05-23 11:46:26	ga_s2bm_ard_3-2-1_50JML_2022-05-23_final
2022-05-23 11:46:34	ga_s2bm_ard_3-2-1_50HPK_2022-05-23_final
2022-05-23 11:46:41	ga_s2bm_ard_3-2-1_50HMK_2022-05-23_final
2022-05-23 11:46:52	ga_s2bm_ard_3-2-1_50HNJ_2022-05-23_final
2022-05-23 11:47:02	ga_s2bm_ard_3-2-1_50HPH_2022-05-23_final
2022-05-23 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2022-05-23_final
2022-05-23 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2022-05-23_final
2022-05-23 11:47:14	ga_s2bm_ard_3-2-1_50HLH_2022-05-23_final
2022-05-26 11:56:04	ga_s2bm_ard_3-2-1_50JNM_2022-05-26_final
2022-05-26 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2022-05-26_final
2022-05-26 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2022-05-26_final
2022-05-26 11:56:51	ga_s2bm_ard_3-2-1_50HMJ_2022-05-26_final
2022-05-26 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2022-05-26_final
2022-05-26 11:57:09	ga_s2bm_ard_3-2-1_50HLH_2022-05-26_final
2022-05-27 11:26:29	ga_s2bm_ard_3-2-1_51HVE_2022-05-27_final
2022-05-30 11:36:05	ga_s2bm_ard_3-2-1_50JQM_2022-05-30_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