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
2023-06-06 10:34:30	ga_s2bm_ard_3-2-1_53JNM_2023-06-06_final.stac-item
2023-06-07 10:02:46	ga_s2bm_ard_3-2-1_54KZC_2023-06-07_final.stac-item
2023-06-07 10:03:29	ga_s2bm_ard_3-2-1_54KZV_2023-06-07_final.stac-item
2023-06-07 10:05:29	ga_s2bm_ard_3-2-1_54JXM_2023-06-07_final.stac-item
2023-06-07 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2023-06-07_final.stac-item
2023-06-07 10:05:42	ga_s2bm_ard_3-2-1_54JYL_2023-06-07_final.stac-item
2023-06-07 10:06:04	ga_s2bm_ard_3-2-1_54HWK_2023-06-07_final.stac-item
2023-06-07 10:06:29	ga_s2bm_ard_3-2-1_54HXH_2023-06-07_final.stac-item
2023-06-07 10:06:38	ga_s2bm_ard_3-2-1_54HVH_2023-06-07_final.stac-item
2023-06-07 10:06:47	ga_s2bm_ard_3-2-1_54HWG_2023-06-07_final.stac-item
2023-06-07 10:07:19	ga_s2bm_ard_3-2-1_54HYD_2023-06-07_final.stac-item
2023-06-07 10:07:31	ga_s2bm_ard_3-2-1_54HWD_2023-06-07_final.stac-item
2023-06-07 10:07:48	ga_s2bm_ard_3-2-1_54HVC_2023-06-07_final.stac-item
2023-06-07 11:41:02	ga_s2bm_ard_3-2-1_51LWG_2023-06-07_final.stac-item
2023-06-07 11:41:23	ga_s2bm_ard_3-2-1_51LUF_2023-06-07_final.stac-item
2023-06-07 11:41:31	ga_s2bm_ard_3-2-1_51LWE_2023-06-07_final.stac-item
2023-06-07 11:41:52	ga_s2bm_ard_3-2-1_51LUD_2023-06-07_final.stac-item
2023-06-07 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-06-07_final.stac-item
2023-06-07 11:42:50	ga_s2bm_ard_3-2-1_51KUV_2023-06-07_final.stac-item
2023-06-07 11:43:05	ga_s2bm_ard_3-2-1_51KUU_2023-06-07_final.stac-item
2023-06-07 11:43:13	ga_s2bm_ard_3-2-1_50KQD_2023-06-07_final.stac-item
2023-06-07 11:43:23	ga_s2bm_ard_3-2-1_51KTT_2023-06-07_final.stac-item
2023-06-07 11:43:40	ga_s2bm_ard_3-2-1_51KVR_2023-06-07_final.stac-item
2023-06-07 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-06-07_final.stac-item
2023-06-07 11:44:07	ga_s2bm_ard_3-2-1_50KRV_2023-06-07_final.stac-item
2023-06-07 11:44:10	ga_s2bm_ard_3-2-1_50KQV_2023-06-07_final.stac-item
2023-06-07 11:44:18	ga_s2bm_ard_3-2-1_51KUP_2023-06-07_final.stac-item
2023-06-07 11:44:32	ga_s2bm_ard_3-2-1_51JUN_2023-06-07_final.stac-item
2023-06-07 11:44:35	ga_s2bm_ard_3-2-1_50JRT_2023-06-07_final.stac-item
2023-06-07 11:44:39	ga_s2bm_ard_3-2-1_50JQT_2023-06-07_final.stac-item
2023-06-07 11:44:42	ga_s2bm_ard_3-2-1_50JPT_2023-06-07_final.stac-item
2023-06-07 11:44:53	ga_s2bm_ard_3-2-1_50JQS_2023-06-07_final.stac-item
2023-06-07 11:45:11	ga_s2bm_ard_3-2-1_50JPR_2023-06-07_final.stac-item
2023-06-07 11:45:29	ga_s2bm_ard_3-2-1_50JNQ_2023-06-07_final.stac-item
2023-06-07 11:45:37	ga_s2bm_ard_3-2-1_50JQP_2023-06-07_final.stac-item
2023-06-07 11:45:48	ga_s2bm_ard_3-2-1_51JTH_2023-06-07_final.stac-item
2023-06-07 11:45:51	ga_s2bm_ard_3-2-1_50JQN_2023-06-07_final.stac-item
2023-06-07 11:46:10	ga_s2bm_ard_3-2-1_50JPM_2023-06-07_final.stac-item
2023-06-07 11:46:13	ga_s2bm_ard_3-2-1_50JNM_2023-06-07_final.stac-item
2023-06-07 11:46:24	ga_s2bm_ard_3-2-1_50JPL_2023-06-07_final.stac-item
2023-06-07 11:46:38	ga_s2bm_ard_3-2-1_50HPK_2023-06-07_final.stac-item
2023-06-07 11:46:42	ga_s2bm_ard_3-2-1_50HNK_2023-06-07_final.stac-item
2023-06-07 11:46:48	ga_s2bm_ard_3-2-1_50HQJ_2023-06-07_final.stac-item
2023-06-07 11:46:53	ga_s2bm_ard_3-2-1_50HPJ_2023-06-07_final.stac-item
2023-06-07 11:47:14	ga_s2bm_ard_3-2-1_50HMH_2023-06-07_final.stac-item
2023-06-07 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-06-07_final.stac-item
2023-06-08 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-06-08_final.stac-item
2023-06-08 09:39:07	ga_s2bm_ard_3-2-1_55GDM_2023-06-08_final.stac-item
2023-06-08 11:11:06	ga_s2bm_ard_3-2-1_52LFL_2023-06-08_final.stac-item
2023-06-08 11:11:28	ga_s2bm_ard_3-2-1_52LFK_2023-06-08_final.stac-item
2023-06-08 11:11:35	ga_s2bm_ard_3-2-1_52LFJ_2023-06-08_final.stac-item
2023-06-08 11:11:42	ga_s2bm_ard_3-2-1_52LDJ_2023-06-08_final.stac-item
2023-06-08 11:11:45	ga_s2bm_ard_3-2-1_52LGH_2023-06-08_final.stac-item
2023-06-08 11:12:04	ga_s2bm_ard_3-2-1_52KFG_2023-06-08_final.stac-item
2023-06-08 11:12:08	ga_s2bm_ard_3-2-1_52KEG_2023-06-08_final.stac-item
2023-06-08 11:12:47	ga_s2bm_ard_3-2-1_52KFD_2023-06-08_final.stac-item
2023-06-08 11:12:58	ga_s2bm_ard_3-2-1_52KCD_2023-06-08_final.stac-item
2023-06-08 11:12:58	ga_s2bm_ard_3-2-1_52KFC_2023-06-08_final.stac-item
2023-06-08 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2023-06-08_final.stac-item
2023-06-08 11:13:18	ga_s2bm_ard_3-2-1_52KBC_2023-06-08_final.stac-item
2023-06-08 11:13:33	ga_s2bm_ard_3-2-1_51KZS_2023-06-08_final.stac-item
2023-06-08 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-06-08_final.stac-item
2023-06-08 11:14:02	ga_s2bm_ard_3-2-1_52KEU_2023-06-08_final.stac-item
2023-06-08 11:14:07	ga_s2bm_ard_3-2-1_52KDU_2023-06-08_final.stac-item
2023-06-08 11:14:12	ga_s2bm_ard_3-2-1_52JET_2023-06-08_final.stac-item
2023-06-08 11:14:14	ga_s2bm_ard_3-2-1_51KZP_2023-06-08_final.stac-item
2023-06-08 11:14:21	ga_s2bm_ard_3-2-1_52JDT_2023-06-08_final.stac-item
2023-06-08 11:14:34	ga_s2bm_ard_3-2-1_51JYN_2023-06-08_final.stac-item
2023-06-08 11:14:43	ga_s2bm_ard_3-2-1_52JBS_2023-06-08_final.stac-item
2023-06-08 11:14:57	ga_s2bm_ard_3-2-1_52JBR_2023-06-08_final.stac-item
2023-06-08 11:15:05	ga_s2bm_ard_3-2-1_52JDQ_2023-06-08_final.stac-item
2023-06-08 11:15:15	ga_s2bm_ard_3-2-1_51JYK_2023-06-08_final.stac-item
2023-06-08 11:15:17	ga_s2bm_ard_3-2-1_52JDP_2023-06-08_final.stac-item
2023-06-08 11:15:29	ga_s2bm_ard_3-2-1_51JYJ_2023-06-08_final.stac-item
2023-06-08 11:15:38	ga_s2bm_ard_3-2-1_52JCN_2023-06-08_final.stac-item
2023-06-08 11:15:47	ga_s2bm_ard_3-2-1_51JXH_2023-06-08_final.stac-item
2023-06-08 11:15:52	ga_s2bm_ard_3-2-1_52JCM_2023-06-08_final.stac-item
2023-06-08 11:15:56	ga_s2bm_ard_3-2-1_52JBM_2023-06-08_final.stac-item
2023-06-08 11:16:02	ga_s2bm_ard_3-2-1_51JXG_2023-06-08_final.stac-item
2023-06-08 11:16:10	ga_s2bm_ard_3-2-1_52JBL_2023-06-08_final.stac-item
2023-06-08 11:16:13	ga_s2bm_ard_3-2-1_51JYF_2023-06-08_final.stac-item
2023-06-08 11:16:42	ga_s2bm_ard_3-2-1_51HYD_2023-06-08_final.stac-item
2023-06-08 11:17:09	ga_s2bm_ard_3-2-1_51HXB_2023-06-08_final.stac-item
2023-06-17 11:40:29	ga_s2bm_ard_3-2-1_51LXJ_2023-06-17_nrt.stac-item
2023-06-17 11:40:33	ga_s2bm_ard_3-2-1_51LWJ_2023-06-17_nrt.stac-item
2023-06-17 11:40:40	ga_s2bm_ard_3-2-1_51LUJ_2023-06-17_nrt.stac-item
2023-06-17 11:40:44	ga_s2bm_ard_3-2-1_51LXH_2023-06-17_nrt.stac-item
2023-06-17 11:40:47	ga_s2bm_ard_3-2-1_51LWH_2023-06-17_nrt.stac-item
2023-06-17 11:40:54	ga_s2bm_ard_3-2-1_51LUH_2023-06-17_nrt.stac-item
2023-06-17 11:41:08	ga_s2bm_ard_3-2-1_51LUG_2023-06-17_nrt.stac-item
2023-06-17 11:41:16	ga_s2bm_ard_3-2-1_51LWF_2023-06-17_nrt.stac-item
2023-06-17 11:42:12	ga_s2bm_ard_3-2-1_50LRH_2023-06-17_nrt.stac-item
2023-06-17 11:47:33	ga_s2bm_ard_3-2-1_50HPF_2023-06-17_nrt.stac-item
2023-06-17 11:47:34	ga_s2bm_ard_3-2-1_50HNF_2023-06-17_nrt.stac-item
2023-06-17 11:47:36	ga_s2bm_ard_3-2-1_50HMF_2023-06-17_nrt.stac-item
2023-06-18 11:11:02	ga_s2bm_ard_3-2-1_52LDM_2023-06-18_nrt.stac-item
2023-06-18 11:11:13	ga_s2bm_ard_3-2-1_52LDL_2023-06-18_nrt.stac-item
2023-06-18 11:11:24	ga_s2bm_ard_3-2-1_52LDK_2023-06-18_nrt.stac-item
2023-06-18 11:11:30	ga_s2bm_ard_3-2-1_52LDK_2023-06-18_nrt.stac-item
2023-06-18 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-06-18_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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