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
2022-08-04 11:55:28	ga_s2bm_ard_3-2-1_50JMQ_2022-08-04_final.stac-item
2022-08-07 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2022-08-07_final.stac-item
2022-08-07 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-08-07_final.stac-item
2022-08-17 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2022-08-17_final.stac-item
2022-08-17 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2022-08-17_final.stac-item
2022-09-03 11:55:11	ga_s2bm_ard_3-2-1_50JMR_2022-09-03_final.stac-item
2022-09-03 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2022-09-03_final.stac-item
2022-09-06 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-06_final.stac-item
2022-09-06 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2022-09-06_final.stac-item
2022-09-06 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-06_final.stac-item
2022-09-06 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2022-09-06_final.stac-item
2022-09-06 12:05:24	ga_s2bm_ard_3-2-1_50JLQ_2022-09-06_final.stac-item
2022-09-09 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-09_final.stac-item
2022-09-09 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2022-09-09_final.stac-item
2022-09-09 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2022-09-09_final.stac-item
2022-09-09 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2022-09-09_final.stac-item
2022-09-13 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2022-09-13_final.stac-item
2022-09-13 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2022-09-13_final.stac-item
2022-09-16 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2022-09-16_final.stac-item
2022-09-16 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2022-09-16_final.stac-item
2022-09-16 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2022-09-16_final.stac-item
2022-09-16 12:04:33	ga_s2bm_ard_3-2-1_49KGP_2022-09-16_final.stac-item
2022-09-16 12:04:41	ga_s2bm_ard_3-2-1_49JHN_2022-09-16_final.stac-item
2022-09-16 12:04:46	ga_s2bm_ard_3-2-1_50JLT_2022-09-16_final.stac-item
2022-09-16 12:05:01	ga_s2bm_ard_3-2-1_50JMR_2022-09-16_final.stac-item
2022-09-19 12:13:56	ga_s2bm_ard_3-2-1_49KHR_2022-09-19_final.stac-item
2022-09-19 12:14:10	ga_s2bm_ard_3-2-1_49KHQ_2022-09-19_final.stac-item
2022-09-19 12:14:43	ga_s2bm_ard_3-2-1_49JGN_2022-09-19_final.stac-item
2022-09-23 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2022-09-23_final.stac-item
2022-09-26 12:04:14	ga_s2bm_ard_3-2-1_49KHQ_2022-09-26_final.stac-item
2022-09-26 12:04:32	ga_s2bm_ard_3-2-1_49KGP_2022-09-26_final.stac-item
2022-09-26 12:04:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-26_final.stac-item
2022-09-26 12:04:45	ga_s2bm_ard_3-2-1_50JLT_2022-09-26_final.stac-item
2022-09-26 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2022-09-26_final.stac-item
2022-09-29 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-09-29_final.stac-item
2022-09-29 12:14:31	ga_s2bm_ard_3-2-1_49JHN_2022-09-29_final.stac-item
2022-09-29 12:14:41	ga_s2bm_ard_3-2-1_49JGN_2022-09-29_final.stac-item
2022-09-29 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-09-29_final.stac-item
2022-10-03 11:54:43	ga_s2bm_ard_3-2-1_50JLT_2022-10-03_final.stac-item
2022-10-03 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2022-10-03_final.stac-item
2022-10-03 11:55:23	ga_s2bm_ard_3-2-1_50JMQ_2022-10-03_final.stac-item
2022-10-03 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-10-03_final.stac-item
2022-10-03 11:55:37	ga_s2bm_ard_3-2-1_50JMP_2022-10-03_final.stac-item
2022-10-03 11:56:28	ga_s2bm_ard_3-2-1_50HNK_2022-10-03_final.stac-item
2022-10-03 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-10-03_final.stac-item
2022-10-06 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2022-10-06_final.stac-item
2022-10-06 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2022-10-06_final.stac-item
2022-10-06 12:04:56	ga_s2bm_ard_3-2-1_50JMR_2022-10-06_final.stac-item
2022-10-06 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2022-10-06_final.stac-item
2022-10-06 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2022-10-06_final.stac-item
2022-10-06 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2022-10-06_final.stac-item
2022-10-06 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2022-10-06_final.stac-item
2022-10-09 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2022-10-09_final.stac-item
2022-10-09 12:14:11	ga_s2bm_ard_3-2-1_49KGQ_2022-10-09_final.stac-item
2022-10-09 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2022-10-09_final.stac-item
2022-10-10 11:46:24	ga_s2bm_ard_3-2-1_50JML_2022-10-10_final.stac-item
2022-10-10 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-10-10_final.stac-item
2022-10-10 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-10-10_final.stac-item
2022-10-10 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-10-10_final.stac-item
2022-10-13 11:55:08	ga_s2bm_ard_3-2-1_50JMR_2022-10-13_final.stac-item
2022-10-13 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-10-13_final.stac-item
2022-10-13 11:56:35	ga_s2bm_ard_3-2-1_50HMK_2022-10-13_final.stac-item
2022-10-16 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-10-16_final.stac-item
2022-10-16 12:04:37	ga_s2bm_ard_3-2-1_50JLT_2022-10-16_final.stac-item
2022-10-16 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-10-16_final.stac-item
2022-10-16 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2022-10-16_final.stac-item
2022-10-16 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-16_final.stac-item
2022-10-16 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-10-16_final.stac-item
2022-10-16 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_2022-10-16_final.stac-item
2022-10-17 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-10-17_final.stac-item
2022-10-19 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-10-19_final.stac-item
2022-10-19 12:14:02	ga_s2bm_ard_3-2-1_49KHQ_2022-10-19_final.stac-item
2022-10-19 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-10-19_final.stac-item
2022-10-19 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-10-19_final.stac-item
2022-10-19 12:14:45	ga_s2bm_ard_3-2-1_49JFN_2022-10-19_final.stac-item
2022-10-19 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-10-19_final.stac-item
2022-10-19 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-10-19_final.stac-item
2022-10-19 12:15:10	ga_s2bm_ard_3-2-1_49JGL_2022-10-19_final.stac-item
2022-10-19 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-10-19_final.stac-item
2022-10-20 11:46:22	ga_s2bm_ard_3-2-1_50JNL_2022-10-20_final.stac-item
2022-10-20 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-10-20_final.stac-item
2022-10-20 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-10-20_final.stac-item
2022-10-20 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-10-20_final.stac-item
2022-10-20 11:46:37	ga_s2bm_ard_3-2-1_50HNK_2022-10-20_final.stac-item
2022-10-20 11:46:55	ga_s2bm_ard_3-2-1_50HMJ_2022-10-20_final.stac-item
2022-10-23 11:55:09	ga_s2bm_ard_3-2-1_50JMR_2022-10-23_final.stac-item
2022-10-23 11:56:21	ga_s2bm_ard_3-2-1_50JML_2022-10-23_final.stac-item
2022-10-23 11:56:29	ga_s2bm_ard_3-2-1_50HNK_2022-10-23_final.stac-item
2022-10-23 11:56:50	ga_s2bm_ard_3-2-1_50HMJ_2022-10-23_final.stac-item
2022-10-26 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-26_final.stac-item
2022-10-26 12:04:13	ga_s2bm_ard_3-2-1_49KHQ_2022-10-26_final.stac-item
2022-10-26 12:04:17	ga_s2bm_ard_3-2-1_49KGQ_2022-10-26_final.stac-item
2022-10-26 12:04:30	ga_s2bm_ard_3-2-1_49KGP_2022-10-26_final.stac-item
2022-10-26 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2022-10-26_final.stac-item
2022-10-26 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-10-26_final.stac-item
2022-10-26 12:04:56	ga_s2bm_ard_3-2-1_50JKS_2022-10-26_final.stac-item
2022-10-26 12:05:00	ga_s2bm_ard_3-2-1_49JGM_2022-10-26_final.stac-item
2022-10-26 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-10-26_final.stac-item
2022-10-26 12:05:28	ga_s2bm_ard_3-2-1_49JGK_2022-10-26_final.stac-item
2022-10-26 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2022-10-26_final.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

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