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
2022-08-07 12:05:27	ga_s2bm_ard_3-2-1_50JLQ_2022-08-07_final.stac-item
2022-08-17 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2022-08-17_final.stac-item
2022-08-27 12:05:38	ga_s2bm_ard_3-2-1_50JLP_2022-08-27_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 12:04:30	ga_s2bm_ard_3-2-1_49KHP_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 12:14:00	ga_s2bm_ard_3-2-1_49KGR_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 12:14:23	ga_s2bm_ard_3-2-1_49KHP_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 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2022-09-13_final.stac-item
2022-09-13 11:55:55	ga_s2bm_ard_3-2-1_50JMN_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 12:04:30	ga_s2bm_ard_3-2-1_49KHP_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 12:05:39	ga_s2bm_ard_3-2-1_50JLP_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 12:14:23	ga_s2bm_ard_3-2-1_49KHP_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
2022-09-23 11:55:43	ga_s2bm_ard_3-2-1_50JLP_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 12:04:28	ga_s2bm_ard_3-2-1_49KHP_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 12:05:23	ga_s2bm_ard_3-2-1_50JLQ_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 12:13:54	ga_s2bm_ard_3-2-1_49KHR_2022-09-29_final.stac-item
2022-09-29 12:14:21	ga_s2bm_ard_3-2-1_49KHP_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 11:55:26	ga_s2bm_ard_3-2-1_50JLQ_2022-10-03_final.stac-item
2022-10-03 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2022-10-03_final.stac-item
2022-10-03 11:55:51	ga_s2bm_ard_3-2-1_50JMN_2022-10-03_final.stac-item
2022-10-03 11:55:54	ga_s2bm_ard_3-2-1_50JKN_2022-10-03_final.stac-item
2022-10-03 11:55:58	ga_s2bm_ard_3-2-1_50JMM_2022-10-03_final.stac-item
2022-10-03 11:56:03	ga_s2bm_ard_3-2-1_50JNM_2022-10-03_final.stac-item
2022-10-03 11:56:39	ga_s2bm_ard_3-2-1_50HLK_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
2022-10-03 11:57:08	ga_s2bm_ard_3-2-1_50HLH_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 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2022-10-06_final.stac-item
2022-10-06 12:04:43	ga_s2bm_ard_3-2-1_49JGN_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 12:05:20	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
2022-10-06 12:05:53	ga_s2bm_ard_3-2-1_50JKN_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 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2022-10-09_final.stac-item
2022-10-09 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2022-10-09_final.stac-item
2022-10-09 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2022-10-09_final.stac-item
2022-10-09 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2022-10-09_final.stac-item
2022-10-10 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-10-10_final.stac-item
2022-10-10 11:46:21	ga_s2bm_ard_3-2-1_50JNL_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 11:46:50	ga_s2bm_ard_3-2-1_50HNJ_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
2022-10-10 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-10-10_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 11:55:45	ga_s2bm_ard_3-2-1_50JKP_2022-10-13_final.stac-item
2022-10-13 11:55:58	ga_s2bm_ard_3-2-1_50JKN_2022-10-13_final.stac-item
2022-10-13 11:56:06	ga_s2bm_ard_3-2-1_50JMM_2022-10-13_final.stac-item
2022-10-13 11:56:39	ga_s2bm_ard_3-2-1_50HLK_2022-10-13_final.stac-item
2022-10-13 11:56:53	ga_s2bm_ard_3-2-1_50HLJ_2022-10-13_final.stac-item
2022-10-13 11:57:08	ga_s2bm_ard_3-2-1_50HLH_2022-10-13_final.stac-item
2022-10-16 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-10-16_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 12:04:27	ga_s2bm_ard_3-2-1_49KHP_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 12:05:00	ga_s2bm_ard_3-2-1_49JGM_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
2022-10-16 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-10-16_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_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 12:14:30	ga_s2bm_ard_3-2-1_49JHN_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
2022-10-20 11:46:12	ga_s2bm_ard_3-2-1_50JMM_2022-10-20_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 11:46:33	ga_s2bm_ard_3-2-1_50HPK_2022-10-20_final.stac-item
2022-10-20 11:46:51	ga_s2bm_ard_3-2-1_50HNJ_2022-10-20_final.stac-item
2022-10-23 11:55:46	ga_s2bm_ard_3-2-1_50JKP_2022-10-23_final.stac-item
2022-10-23 11:55:59	ga_s2bm_ard_3-2-1_50JKN_2022-10-23_final.stac-item
2022-10-23 11:56:07	ga_s2bm_ard_3-2-1_50JMM_2022-10-23_final.stac-item
2022-10-23 11:56:39	ga_s2bm_ard_3-2-1_50HLK_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
2022-10-23 11:56:54	ga_s2bm_ard_3-2-1_50HLJ_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 12:04:56	ga_s2bm_ard_3-2-1_49JHM_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 12:05:22	ga_s2bm_ard_3-2-1_50JLQ_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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