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:

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First 100 results (query limit)

Time (local)	Label
2023-05-07 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2023-05-07_final.stac-item
2023-05-07 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-05-07_final.stac-item
2023-05-07 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-05-07_final.stac-item
2023-05-07 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-05-07_final.stac-item
2023-05-07 12:14:21	ga_s2bm_ard_3-2-1_50KKU_2023-05-07_final.stac-item
2023-05-07 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-05-07_final.stac-item
2023-05-07 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-05-07_final.stac-item
2023-05-07 12:15:13	ga_s2bm_ard_3-2-1_49JGL_2023-05-07_final.stac-item
2023-05-07 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-05-07_final.stac-item
2023-05-08 11:43:07	ga_s2bm_ard_3-2-1_50KRD_2023-05-08_final.stac-item
2023-05-08 11:43:39	ga_s2bm_ard_3-2-1_50KQB_2023-05-08_final.stac-item
2023-05-08 11:44:22	ga_s2bm_ard_3-2-1_50KQU_2023-05-08_final.stac-item
2023-05-08 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2023-05-08_final.stac-item
2023-05-08 11:44:40	ga_s2bm_ard_3-2-1_50JPT_2023-05-08_final.stac-item
2023-05-08 11:44:47	ga_s2bm_ard_3-2-1_50JRS_2023-05-08_final.stac-item
2023-05-08 11:45:02	ga_s2bm_ard_3-2-1_50JPS_2023-05-08_final.stac-item
2023-05-08 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-05-08_final.stac-item
2023-05-08 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2023-05-08_final.stac-item
2023-05-08 11:45:35	ga_s2bm_ard_3-2-1_50JQP_2023-05-08_final.stac-item
2023-05-08 11:45:42	ga_s2bm_ard_3-2-1_50JNP_2023-05-08_final.stac-item
2023-05-08 11:45:49	ga_s2bm_ard_3-2-1_50JQN_2023-05-08_final.stac-item
2023-05-08 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2023-05-08_final.stac-item
2023-05-08 11:46:07	ga_s2bm_ard_3-2-1_50JPM_2023-05-08_final.stac-item
2023-05-08 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2023-05-08_final.stac-item
2023-05-08 11:46:43	ga_s2bm_ard_3-2-1_50HMK_2023-05-08_final.stac-item
2023-05-08 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-05-08_final.stac-item
2023-05-08 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-05-08_final.stac-item
2023-05-08 11:46:58	ga_s2bm_ard_3-2-1_50HMJ_2023-05-08_final.stac-item
2023-05-08 11:47:05	ga_s2bm_ard_3-2-1_50HPH_2023-05-08_final.stac-item
2023-05-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-05-08_final.stac-item
2023-05-08 11:47:12	ga_s2bm_ard_3-2-1_50HMH_2023-05-08_final.stac-item
2023-05-08 11:47:27	ga_s2bm_ard_3-2-1_50HMG_2023-05-08_final.stac-item
2023-05-09 11:15:56	ga_s2bm_ard_3-2-1_51JYG_2023-05-09_final.stac-item
2023-05-11 11:53:01	ga_s2bm_ard_3-2-1_50KRD_2023-05-11_final.stac-item
2023-05-11 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-05-11_final.stac-item
2023-05-11 11:53:20	ga_s2bm_ard_3-2-1_50KQC_2023-05-11_final.stac-item
2023-05-11 11:53:27	ga_s2bm_ard_3-2-1_50KNC_2023-05-11_final.stac-item
2023-05-11 11:53:45	ga_s2bm_ard_3-2-1_50KMB_2023-05-11_final.stac-item
2023-05-11 11:53:48	ga_s2bm_ard_3-2-1_50KQA_2023-05-11_final.stac-item
2023-05-11 11:53:52	ga_s2bm_ard_3-2-1_50KNA_2023-05-11_final.stac-item
2023-05-11 11:53:56	ga_s2bm_ard_3-2-1_50KQA_2023-05-11_final.stac-item
2023-05-11 11:54:16	ga_s2bm_ard_3-2-1_50KQU_2023-05-11_final.stac-item
2023-05-11 11:54:21	ga_s2bm_ard_3-2-1_50KPU_2023-05-11_final.stac-item
2023-05-11 11:54:25	ga_s2bm_ard_3-2-1_50KNU_2023-05-11_final.stac-item
2023-05-11 11:54:28	ga_s2bm_ard_3-2-1_50KMU_2023-05-11_final.stac-item
2023-05-11 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2023-05-11_final.stac-item
2023-05-11 11:54:40	ga_s2bm_ard_3-2-1_50JNT_2023-05-11_final.stac-item
2023-05-11 11:54:47	ga_s2bm_ard_3-2-1_50JLT_2023-05-11_final.stac-item
2023-05-11 11:55:05	ga_s2bm_ard_3-2-1_50JPR_2023-05-11_final.stac-item
2023-05-11 11:55:12	ga_s2bm_ard_3-2-1_50JMR_2023-05-11_final.stac-item
2023-05-11 11:55:18	ga_s2bm_ard_3-2-1_50JPQ_2023-05-11_final.stac-item
2023-05-11 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2023-05-11_final.stac-item
2023-05-11 11:55:37	ga_s2bm_ard_3-2-1_50JNP_2023-05-11_final.stac-item
2023-05-11 11:55:41	ga_s2bm_ard_3-2-1_50JMP_2023-05-11_final.stac-item
2023-05-11 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-05-11_final.stac-item
2023-05-11 11:55:52	ga_s2bm_ard_3-2-1_50JNN_2023-05-11_final.stac-item
2023-05-11 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2023-05-11_final.stac-item
2023-05-11 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2023-05-11_final.stac-item
2023-05-11 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-05-11_final.stac-item
2023-05-11 11:56:24	ga_s2bm_ard_3-2-1_50JML_2023-05-11_final.stac-item
2023-05-11 11:56:28	ga_s2bm_ard_3-2-1_50JLL_2023-05-11_final.stac-item
2023-05-11 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-05-11_final.stac-item
2023-05-11 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-05-11_final.stac-item
2023-05-11 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-05-11_final.stac-item
2023-05-11 11:57:23	ga_s2bm_ard_3-2-1_50HMG_2023-05-11_final.stac-item
2023-05-12 11:25:15	ga_s2bm_ard_3-2-1_51JVK_2023-05-12_final.stac-item
2023-05-12 11:25:21	ga_s2bm_ard_3-2-1_51JVK_2023-05-12_final.stac-item
2023-05-12 11:25:33	ga_s2bm_ard_3-2-1_51JVJ_2023-05-12_final.stac-item
2023-05-12 11:25:36	ga_s2bm_ard_3-2-1_51JYH_2023-05-12_final.stac-item
2023-05-14 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2023-05-14_final.stac-item
2023-05-14 12:03:37	ga_s2bm_ard_3-2-1_50KNB_2023-05-14_final.stac-item
2023-05-14 12:03:47	ga_s2bm_ard_3-2-1_50KNA_2023-05-14_final.stac-item
2023-05-14 12:03:48	ga_s2bm_ard_3-2-1_50KKB_2023-05-14_final.stac-item
2023-05-14 12:03:55	ga_s2bm_ard_3-2-1_50KMA_2023-05-14_final.stac-item
2023-05-14 12:03:59	ga_s2bm_ard_3-2-1_50KLA_2023-05-14_final.stac-item
2023-05-14 12:04:10	ga_s2bm_ard_3-2-1_50KMV_2023-05-14_final.stac-item
2023-05-14 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2023-05-14_final.stac-item
2023-05-14 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2023-05-14_final.stac-item
2023-05-14 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2023-05-14_final.stac-item
2023-05-14 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2023-05-14_final.stac-item
2023-05-14 12:04:28	ga_s2bm_ard_3-2-1_50KLU_2023-05-14_final.stac-item
2023-05-14 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final.stac-item
2023-05-14 12:04:30	ga_s2bm_ard_3-2-1_50KKU_2023-05-14_final.stac-item
2023-05-14 12:04:34	ga_s2bm_ard_3-2-1_50JMT_2023-05-14_final.stac-item
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_50KLU_2023-05-14_final.stac-item
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-05-14_final.stac-item
2023-05-14 12:04:36	ga_s2bm_ard_3-2-1_49JHN_2023-05-14_final.stac-item
2023-05-14 12:04:37	ga_s2bm_ard_3-2-1_49KHP_2023-05-14_final.stac-item
2023-05-14 12:04:37	ga_s2bm_ard_3-2-1_50KKU_2023-05-14_final.stac-item
2023-05-14 12:04:37	ga_s2bm_ard_3-2-1_50JKT_2023-05-14_final.stac-item
2023-05-14 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-05-14_final.stac-item
2023-05-14 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2023-05-14_final.stac-item
2023-05-14 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2023-05-14_final.stac-item
2023-05-14 12:05:04	ga_s2bm_ard_3-2-1_49JGM_2023-05-14_final.stac-item
2023-05-14 12:05:26	ga_s2bm_ard_3-2-1_50JLQ_2023-05-14_final.stac-item
2023-05-14 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-05-14_final.stac-item
2023-05-14 12:05:41	ga_s2bm_ard_3-2-1_50JLP_2023-05-14_final.stac-item
2023-05-14 12:05:44	ga_s2bm_ard_3-2-1_50JKP_2023-05-14_final.stac-item
2023-05-14 12:05:47	ga_s2bm_ard_3-2-1_49JGJ_2023-05-14_final.stac-item
2023-05-14 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-05-14_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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