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
2023-03-05 12:04:45	ga_s2bm_ard_3-2-1_49JHN_2023-03-05_final.stac-item
2023-03-05 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-03-05_final.stac-item
2023-03-06 11:37:18	ga_s2bm_ard_3-2-1_51HTB_2023-03-06_final.stac-item
2023-03-07 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2023-03-07_final.stac-item
2023-03-07 11:05:37	ga_s2bm_ard_3-2-1_52JDN_2023-03-07_final.stac-item
2023-03-08 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-08_final.stac-item
2023-03-09 11:42:49	ga_s2bm_ard_3-2-1_51KUV_2023-03-09_final.stac-item
2023-03-09 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-03-09_final.stac-item
2023-03-09 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2023-03-09_final.stac-item
2023-03-10 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2023-03-10_final.stac-item
2023-03-12 11:51:18	ga_s2bm_ard_3-2-1_51LUF_2023-03-12_final.stac-item
2023-03-12 11:52:42	ga_s2bm_ard_3-2-1_50KPF_2023-03-12_final.stac-item
2023-03-12 11:53:03	ga_s2bm_ard_3-2-1_50KRD_2023-03-12_final.stac-item
2023-03-12 11:53:11	ga_s2bm_ard_3-2-1_50KPD_2023-03-12_final.stac-item
2023-03-12 11:53:21	ga_s2bm_ard_3-2-1_50KQC_2023-03-12_final.stac-item
2023-03-12 11:54:12	ga_s2bm_ard_3-2-1_50KNV_2023-03-12_final.stac-item
2023-03-12 11:54:27	ga_s2bm_ard_3-2-1_50KNU_2023-03-12_final.stac-item
2023-03-12 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2023-03-12_final.stac-item
2023-03-12 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2023-03-12_final.stac-item
2023-03-12 11:55:07	ga_s2bm_ard_3-2-1_50JPR_2023-03-12_final.stac-item
2023-03-12 11:55:14	ga_s2bm_ard_3-2-1_50JMR_2023-03-12_final.stac-item
2023-03-12 11:56:44	ga_s2bm_ard_3-2-1_50HLK_2023-03-12_final.stac-item
2023-03-13 11:21:30	ga_s2bm_ard_3-2-1_51LZE_2023-03-13_final.stac-item
2023-03-13 11:21:44	ga_s2bm_ard_3-2-1_51LZD_2023-03-13_final.stac-item
2023-03-13 11:22:09	ga_s2bm_ard_3-2-1_52KCG_2023-03-13_final.stac-item
2023-03-13 11:22:16	ga_s2bm_ard_3-2-1_51KYB_2023-03-13_final.stac-item
2023-03-13 11:22:52	ga_s2bm_ard_3-2-1_52KCD_2023-03-13_final.stac-item
2023-03-13 11:23:00	ga_s2bm_ard_3-2-1_51KYU_2023-03-13_final.stac-item
2023-03-13 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-03-13_final.stac-item
2023-03-13 11:23:54	ga_s2bm_ard_3-2-1_51KZQ_2023-03-13_final.stac-item
2023-03-13 11:24:06	ga_s2bm_ard_3-2-1_51KWQ_2023-03-13_final.stac-item
2023-03-13 11:24:09	ga_s2bm_ard_3-2-1_52KBU_2023-03-13_final.stac-item
2023-03-13 11:24:16	ga_s2bm_ard_3-2-1_51KXP_2023-03-13_final.stac-item
2023-03-13 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-03-13_final.stac-item
2023-03-13 11:24:23	ga_s2bm_ard_3-2-1_52JBT_2023-03-13_final.stac-item
2023-03-13 11:24:27	ga_s2bm_ard_3-2-1_51JYN_2023-03-13_final.stac-item
2023-03-13 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-03-13_final.stac-item
2023-03-13 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2023-03-13_final.stac-item
2023-03-13 11:25:10	ga_s2bm_ard_3-2-1_51JYK_2023-03-13_final.stac-item
2023-03-13 11:25:32	ga_s2bm_ard_3-2-1_51JWJ_2023-03-13_final.stac-item
2023-03-13 11:26:04	ga_s2bm_ard_3-2-1_51JVG_2023-03-13_final.stac-item
2023-03-13 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-03-13_final.stac-item
2023-03-13 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2023-03-13_final.stac-item
2023-03-13 11:27:18	ga_s2bm_ard_3-2-1_51HTB_2023-03-13_final.stac-item
2023-03-14 10:56:26	ga_s2bm_ard_3-2-1_52HDK_2023-03-14_final.stac-item
2023-03-15 12:03:27	ga_s2bm_ard_3-2-1_50KMC_2023-03-15_final.stac-item
2023-03-15 12:03:37	ga_s2bm_ard_3-2-1_50KNB_2023-03-15_final.stac-item
2023-03-15 12:04:29	ga_s2bm_ard_3-2-1_50KLU_2023-03-15_final.stac-item
2023-03-15 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2023-03-15_final.stac-item
2023-03-15 12:04:36	ga_s2bm_ard_3-2-1_50KLU_2023-03-15_final.stac-item
2023-03-15 12:04:36	ga_s2bm_ard_3-2-1_50JLT_2023-03-15_final.stac-item
2023-03-15 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-03-15_final.stac-item
2023-03-15 12:05:03	ga_s2bm_ard_3-2-1_50JMR_2023-03-15_final.stac-item
2023-03-15 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-03-15_final.stac-item
2023-03-15 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-03-15_final.stac-item
2023-03-16 11:31:25	ga_s2bm_ard_3-2-1_51LZE_2023-03-16_final.stac-item
2023-03-16 11:31:35	ga_s2bm_ard_3-2-1_51LWE_2023-03-16_final.stac-item
2023-03-16 11:32:59	ga_s2bm_ard_3-2-1_51KXU_2023-03-16_final.stac-item
2023-03-16 11:33:05	ga_s2bm_ard_3-2-1_51KVU_2023-03-16_final.stac-item
2023-03-16 11:33:13	ga_s2bm_ard_3-2-1_51KXT_2023-03-16_final.stac-item
2023-03-16 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-03-16_final.stac-item
2023-03-16 11:33:49	ga_s2bm_ard_3-2-1_51KVR_2023-03-16_final.stac-item
2023-03-16 11:34:04	ga_s2bm_ard_3-2-1_51KVQ_2023-03-16_final.stac-item
2023-03-16 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-03-16_final.stac-item
2023-03-16 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-03-16_final.stac-item
2023-03-16 11:34:18	ga_s2bm_ard_3-2-1_51KVP_2023-03-16_final.stac-item
2023-03-16 11:34:19	ga_s2bm_ard_3-2-1_51JXN_2023-03-16_final.stac-item
2023-03-16 11:34:21	ga_s2bm_ard_3-2-1_51KUP_2023-03-16_final.stac-item
2023-03-16 11:34:33	ga_s2bm_ard_3-2-1_51JVN_2023-03-16_final.stac-item
2023-03-16 11:34:40	ga_s2bm_ard_3-2-1_51JTN_2023-03-16_final.stac-item
2023-03-16 11:34:50	ga_s2bm_ard_3-2-1_51JUM_2023-03-16_final.stac-item
2023-03-16 11:34:53	ga_s2bm_ard_3-2-1_51JTM_2023-03-16_final.stac-item
2023-03-16 11:35:05	ga_s2bm_ard_3-2-1_51JUL_2023-03-16_final.stac-item
2023-03-16 11:35:12	ga_s2bm_ard_3-2-1_51JWK_2023-03-16_final.stac-item
2023-03-16 11:35:23	ga_s2bm_ard_3-2-1_51JWJ_2023-03-16_final.stac-item
2023-03-16 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2023-03-16_final.stac-item
2023-03-16 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-03-16_final.stac-item
2023-03-16 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2023-03-16_final.stac-item
2023-03-16 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2023-03-16_final.stac-item
2023-03-16 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-03-16_final.stac-item
2023-03-16 11:37:05	ga_s2bm_ard_3-2-1_51HTC_2023-03-16_final.stac-item
2023-03-16 11:37:07	ga_s2bm_ard_3-2-1_50HQH_2023-03-16_final.stac-item
2023-03-17 11:04:18	ga_s2bm_ard_3-2-1_52JFT_2023-03-17_final.stac-item
2023-03-17 11:04:22	ga_s2bm_ard_3-2-1_52JET_2023-03-17_final.stac-item
2023-03-17 11:04:36	ga_s2bm_ard_3-2-1_52JES_2023-03-17_final.stac-item
2023-03-17 11:04:40	ga_s2bm_ard_3-2-1_52JDS_2023-03-17_final.stac-item
2023-03-17 11:04:54	ga_s2bm_ard_3-2-1_52JDR_2023-03-17_final.stac-item
2023-03-17 11:06:02	ga_s2bm_ard_3-2-1_52JBM_2023-03-17_final.stac-item
2023-03-18 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-18_final.stac-item
2023-03-18 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-03-18_final.stac-item
2023-03-18 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-03-18_final.stac-item
2023-03-18 12:14:22	ga_s2bm_ard_3-2-1_50KKU_2023-03-18_final.stac-item
2023-03-18 12:14:25	ga_s2bm_ard_3-2-1_49KHP_2023-03-18_final.stac-item
2023-03-18 12:14:34	ga_s2bm_ard_3-2-1_49JHN_2023-03-18_final.stac-item
2023-03-18 12:15:14	ga_s2bm_ard_3-2-1_49JGL_2023-03-18_final.stac-item
2023-03-28 12:13:29	ga_s2bm_ard_3-2-1_49KFU_2023-03-28_nrt.stac-item
2023-03-28 12:13:32	ga_s2bm_ard_3-2-1_49KHT_2023-03-28_nrt.stac-item
2023-03-28 12:13:34	ga_s2bm_ard_3-2-1_49KGT_2023-03-28_nrt.stac-item
2023-03-28 12:13:47	ga_s2bm_ard_3-2-1_49KGS_2023-03-28_nrt.stac-item
2023-03-28 12:13:50	ga_s2bm_ard_3-2-1_49KFS_2023-03-28_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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