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
2023-10-21 10:20:20	ga_s2bm_ard_3-2-1_54LWN_2023-10-21_final.stac-item
2023-10-21 10:20:33	ga_s2bm_ard_3-2-1_54LWM_2023-10-21_final.stac-item
2023-10-21 10:21:17	ga_s2bm_ard_3-2-1_54LWJ_2023-10-21_final.stac-item
2023-10-21 10:21:23	ga_s2bm_ard_3-2-1_54LVJ_2023-10-21_final.stac-item
2023-10-21 10:21:31	ga_s2bm_ard_3-2-1_54LWH_2023-10-21_final.stac-item
2023-10-21 10:21:35	ga_s2bm_ard_3-2-1_54LVH_2023-10-21_final.stac-item
2023-10-21 10:21:39	ga_s2bm_ard_3-2-1_54KYG_2023-10-21_final.stac-item
2023-10-21 10:21:46	ga_s2bm_ard_3-2-1_54KWG_2023-10-21_final.stac-item
2023-10-21 10:21:53	ga_s2bm_ard_3-2-1_54KYF_2023-10-21_final.stac-item
2023-10-21 10:21:57	ga_s2bm_ard_3-2-1_54KXF_2023-10-21_final.stac-item
2023-10-21 10:22:00	ga_s2bm_ard_3-2-1_54KWF_2023-10-21_final.stac-item
2023-10-21 10:22:04	ga_s2bm_ard_3-2-1_54KVF_2023-10-21_final.stac-item
2023-10-21 10:22:11	ga_s2bm_ard_3-2-1_54KXE_2023-10-21_final.stac-item
2023-10-21 10:22:15	ga_s2bm_ard_3-2-1_54KWE_2023-10-21_final.stac-item
2023-10-21 10:22:18	ga_s2bm_ard_3-2-1_54KVE_2023-10-21_final.stac-item
2023-10-21 10:22:55	ga_s2bm_ard_3-2-1_54KXB_2023-10-21_final.stac-item
2023-10-21 10:23:02	ga_s2bm_ard_3-2-1_54KVB_2023-10-21_final.stac-item
2023-10-21 10:23:08	ga_s2bm_ard_3-2-1_54KXA_2023-10-21_final.stac-item
2023-10-21 10:23:13	ga_s2bm_ard_3-2-1_54KWA_2023-10-21_final.stac-item
2023-10-21 10:23:16	ga_s2bm_ard_3-2-1_54KVA_2023-10-21_final.stac-item
2023-10-21 10:23:20	ga_s2bm_ard_3-2-1_54KUA_2023-10-21_final.stac-item
2023-10-21 10:23:31	ga_s2bm_ard_3-2-1_54KVV_2023-10-21_final.stac-item
2023-10-21 10:23:34	ga_s2bm_ard_3-2-1_54KUV_2023-10-21_final.stac-item
2023-10-21 10:23:39	ga_s2bm_ard_3-2-1_54KTV_2023-10-21_final.stac-item
2023-10-21 10:24:03	ga_s2bm_ard_3-2-1_54JUT_2023-10-21_final.stac-item
2023-10-21 10:24:10	ga_s2bm_ard_3-2-1_54JWS_2023-10-21_final.stac-item
2023-10-21 10:24:16	ga_s2bm_ard_3-2-1_54JUS_2023-10-21_final.stac-item
2023-10-21 10:24:17	ga_s2bm_ard_3-2-1_53JRM_2023-10-21_final.stac-item
2023-10-21 10:24:18	ga_s2bm_ard_3-2-1_54JTS_2023-10-21_final.stac-item
2023-10-21 10:24:19	ga_s2bm_ard_3-2-1_54JWR_2023-10-21_final.stac-item
2023-10-21 10:24:21	ga_s2bm_ard_3-2-1_54JVR_2023-10-21_final.stac-item
2023-10-21 10:24:22	ga_s2bm_ard_3-2-1_54JUS_2023-10-21_final.stac-item
2023-10-21 10:24:23	ga_s2bm_ard_3-2-1_54JWR_2023-10-21_final.stac-item
2023-10-21 10:24:24	ga_s2bm_ard_3-2-1_53JRM_2023-10-21_final.stac-item
2023-10-21 10:24:29	ga_s2bm_ard_3-2-1_54JVR_2023-10-21_final.stac-item
2023-10-21 10:24:32	ga_s2bm_ard_3-2-1_54JUR_2023-10-21_final.stac-item
2023-10-21 10:24:36	ga_s2bm_ard_3-2-1_54JTR_2023-10-21_final.stac-item
2023-10-21 10:24:43	ga_s2bm_ard_3-2-1_54JVQ_2023-10-21_final.stac-item
2023-10-21 10:25:16	ga_s2bm_ard_3-2-1_54JUN_2023-10-21_final.stac-item
2023-10-21 10:25:19	ga_s2bm_ard_3-2-1_54JTN_2023-10-21_final.stac-item
2023-10-21 10:25:22	ga_s2bm_ard_3-2-1_53JQH_2023-10-21_final.stac-item
2023-10-21 10:25:30	ga_s2bm_ard_3-2-1_54JUM_2023-10-21_final.stac-item
2023-10-21 10:25:34	ga_s2bm_ard_3-2-1_54JTM_2023-10-21_final.stac-item
2023-10-21 10:25:42	ga_s2bm_ard_3-2-1_53JPG_2023-10-21_final.stac-item
2023-10-21 10:25:48	ga_s2bm_ard_3-2-1_54JTL_2023-10-21_final.stac-item
2023-10-21 10:25:59	ga_s2bm_ard_3-2-1_54HUK_2023-10-21_final.stac-item
2023-10-21 10:26:18	ga_s2bm_ard_3-2-1_54HTJ_2023-10-21_final.stac-item
2023-10-21 10:26:24	ga_s2bm_ard_3-2-1_53HPD_2023-10-21_final.stac-item
2023-10-21 10:26:32	ga_s2bm_ard_3-2-1_54HTH_2023-10-21_final.stac-item
2023-10-21 10:26:38	ga_s2bm_ard_3-2-1_53HPC_2023-10-21_final.stac-item
2023-10-21 10:26:42	ga_s2bm_ard_3-2-1_54HUG_2023-10-21_final.stac-item
2023-10-21 10:26:42	ga_s2bm_ard_3-2-1_53HNC_2023-10-21_final.stac-item
2023-10-21 10:26:48	ga_s2bm_ard_3-2-1_53HQB_2023-10-21_final.stac-item
2023-10-21 10:27:03	ga_s2bm_ard_3-2-1_53HQA_2023-10-21_final.stac-item
2023-10-21 10:27:13	ga_s2bm_ard_3-2-1_54HTE_2023-10-21_final.stac-item
2023-10-21 10:27:14	ga_s2bm_ard_3-2-1_53HQV_2023-10-21_final.stac-item
2023-10-21 12:03:39	ga_s2bm_ard_3-2-1_50KMB_2023-10-21_final.stac-item
2023-10-21 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2023-10-21_final.stac-item
2023-10-21 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-21_final.stac-item
2023-10-21 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-10-21_final.stac-item
2023-10-21 12:03:58	ga_s2bm_ard_3-2-1_50KLA_2023-10-21_final.stac-item
2023-10-21 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-21_final.stac-item
2023-10-21 12:04:08	ga_s2bm_ard_3-2-1_50KMV_2023-10-21_final.stac-item
2023-10-21 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2023-10-21_final.stac-item
2023-10-21 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-21_final.stac-item
2023-10-21 12:04:20	ga_s2bm_ard_3-2-1_49KGQ_2023-10-21_final.stac-item
2023-10-21 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-10-21_final.stac-item
2023-10-21 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-21_final.stac-item
2023-10-21 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-10-21_final.stac-item
2023-10-21 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-21_final.stac-item
2023-10-21 12:04:55	ga_s2bm_ard_3-2-1_50JKS_2023-10-21_final.stac-item
2023-10-21 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2023-10-21_final.stac-item
2023-10-21 12:05:03	ga_s2bm_ard_3-2-1_49JGM_2023-10-21_final.stac-item
2023-10-21 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-21_final.stac-item
2023-10-21 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-21_final.stac-item
2023-10-21 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-21_final.stac-item
2023-10-21 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-21_final.stac-item
2023-10-21 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-21_final.stac-item
2023-10-21 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-21_final.stac-item
2023-10-21 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-10-21_final.stac-item
2023-10-21 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-21_final.stac-item
2023-10-21 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-21_final.stac-item
2023-10-21 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2023-10-21_final.stac-item
2023-10-21 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-10-21_final.stac-item
2023-10-21 12:06:16	ga_s2bm_ard_3-2-1_50JLL_2023-10-21_final.stac-item
2023-10-31 12:00:42	ga_s2bm_ard_3-2-1_50LNP_2023-10-31_nrt.stac-item
2023-10-31 12:00:57	ga_s2bm_ard_3-2-1_50LNN_2023-10-31_nrt.stac-item
2023-10-31 12:01:00	ga_s2bm_ard_3-2-1_50LMN_2023-10-31_nrt.stac-item
2023-10-31 12:01:26	ga_s2bm_ard_3-2-1_50LNL_2023-10-31_nrt.stac-item
2023-10-31 12:01:37	ga_s2bm_ard_3-2-1_50LNK_2023-10-31_nrt.stac-item
2023-10-31 12:03:19	ga_s2bm_ard_3-2-1_49KHU_2023-10-31_nrt.stac-item
2023-10-31 12:03:32	ga_s2bm_ard_3-2-1_50KKC_2023-10-31_nrt.stac-item
2023-10-31 12:05:50	ga_s2bm_ard_3-2-1_49JFJ_2023-10-31_nrt.stac-item
2023-10-31 12:06:27	ga_s2bm_ard_3-2-1_49JFF_2023-10-31_nrt.stac-item
2023-11-01 11:30:25	ga_s2bm_ard_3-2-1_51LZJ_2023-11-01_nrt.stac-item
2023-11-01 11:30:32	ga_s2bm_ard_3-2-1_51LXJ_2023-11-01_nrt.stac-item
2023-11-01 11:30:40	ga_s2bm_ard_3-2-1_51LZH_2023-11-01_nrt.stac-item
2023-11-01 11:30:54	ga_s2bm_ard_3-2-1_51LZG_2023-11-01_nrt.stac-item
2023-11-01 11:31:20	ga_s2bm_ard_3-2-1_51LWF_2023-11-01_nrt.stac-item
2023-11-01 11:37:31	ga_s2bm_ard_3-2-1_50HQF_2023-11-01_nrt.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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