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
2022-08-31 08:24:22	ga_s2bm_ard_3-2-1_59JKJ_2022-08-30_interim.stac-item
2022-08-31 08:24:23	ga_s2bm_ard_3-2-1_58JGP_2022-08-30_interim.stac-item
2022-08-31 08:31:39	ga_s2bm_ard_3-2-1_57FVA_2022-08-30_interim.stac-item
2022-08-31 08:31:43	ga_s2bm_ard_3-2-1_57FWV_2022-08-30_interim.stac-item
2022-08-31 08:31:45	ga_s2bm_ard_3-2-1_57FVV_2022-08-30_final.stac-item
2022-08-31 08:31:49	ga_s2bm_ard_3-2-1_57FWU_2022-08-30_interim.stac-item
2022-08-31 08:31:51	ga_s2bm_ard_3-2-1_57FVU_2022-08-30_interim.stac-item
2022-08-31 10:01:15	ga_s2bm_ard_3-2-1_55LFC_2022-08-31_final
2022-08-31 10:01:25	ga_s2bm_ard_3-2-1_55LCC_2022-08-31_final
2022-08-31 10:01:30	ga_s2bm_ard_3-2-1_55KFB_2022-08-31_final
2022-08-31 10:01:33	ga_s2bm_ard_3-2-1_55KEB_2022-08-31_final
2022-08-31 10:01:36	ga_s2bm_ard_3-2-1_55KDB_2022-08-31_final
2022-08-31 10:01:39	ga_s2bm_ard_3-2-1_55KCB_2022-08-31_final
2022-08-31 10:01:44	ga_s2bm_ard_3-2-1_55KFA_2022-08-31_final
2022-08-31 10:01:51	ga_s2bm_ard_3-2-1_55KDA_2022-08-31_final
2022-08-31 10:01:54	ga_s2bm_ard_3-2-1_55KCA_2022-08-31_final
2022-08-31 10:02:02	ga_s2bm_ard_3-2-1_55KEV_2022-08-31_final
2022-08-31 10:02:05	ga_s2bm_ard_3-2-1_55KDV_2022-08-31_final
2022-08-31 10:02:06	ga_s2bm_ard_3-2-1_55KFU_2022-08-31_final
2022-08-31 10:02:09	ga_s2bm_ard_3-2-1_55KCV_2022-08-31_final
2022-08-31 10:02:16	ga_s2bm_ard_3-2-1_55KEU_2022-08-31_final
2022-08-31 10:02:20	ga_s2bm_ard_3-2-1_55KDU_2022-08-31_final
2022-08-31 10:02:23	ga_s2bm_ard_3-2-1_55KCU_2022-08-31_final
2022-08-31 10:02:27	ga_s2bm_ard_3-2-1_55KBU_2022-08-31_final
2022-08-31 10:02:31	ga_s2bm_ard_3-2-1_55KET_2022-08-31_final
2022-08-31 10:02:34	ga_s2bm_ard_3-2-1_55KDT_2022-08-31_final
2022-08-31 10:02:38	ga_s2bm_ard_3-2-1_55KCT_2022-08-31_final
2022-08-31 10:02:41	ga_s2bm_ard_3-2-1_55KBT_2022-08-31_final
2022-08-31 10:03:10	ga_s2bm_ard_3-2-1_55KEQ_2022-08-31_final
2022-08-31 10:03:18	ga_s2bm_ard_3-2-1_55KDQ_2022-08-31_final
2022-08-31 10:03:32	ga_s2bm_ard_3-2-1_55KDP_2022-08-31_final
2022-08-31 10:03:39	ga_s2bm_ard_3-2-1_54KZU_2022-08-31_final
2022-08-31 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2022-08-31_final
2022-08-31 10:04:15	ga_s2bm_ard_3-2-1_55JDL_2022-08-31_final
2022-08-31 10:04:19	ga_s2bm_ard_3-2-1_55JCL_2022-08-31_final
2022-08-31 10:04:49	ga_s2bm_ard_3-2-1_55JCJ_2022-08-31_final
2022-08-31 10:04:58	ga_s2bm_ard_3-2-1_54JXP_2022-08-31_final
2022-08-31 10:05:29	ga_s2bm_ard_3-2-1_55JCF_2022-08-31_final.stac-item
2022-08-31 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2022-08-31_final.stac-item
2022-08-31 10:05:35	ga_s2bm_ard_3-2-1_55JCF_2022-08-31_final.stac-item
2022-08-31 10:05:36	ga_s2bm_ard_3-2-1_54JWM_2022-08-31_final.stac-item
2022-08-31 10:05:37	ga_s2bm_ard_3-2-1_54JWL_2022-08-31_final.stac-item
2022-08-31 10:05:39	ga_s2bm_ard_3-2-1_55JBF_2022-08-31_final.stac-item
2022-08-31 10:05:40	ga_s2bm_ard_3-2-1_54JYL_2022-08-31_final.stac-item
2022-08-31 10:05:40	ga_s2bm_ard_3-2-1_55HCE_2022-08-31_final.stac-item
2022-08-31 10:05:42	ga_s2bm_ard_3-2-1_54JXL_2022-08-31_final.stac-item
2022-08-31 10:05:46	ga_s2bm_ard_3-2-1_54JWL_2022-08-31_final.stac-item
2022-08-31 10:06:05	ga_s2bm_ard_3-2-1_55HBD_2022-08-31_final.stac-item
2022-08-31 10:06:07	ga_s2bm_ard_3-2-1_54HYJ_2022-08-31_final.stac-item
2022-08-31 10:06:20	ga_s2bm_ard_3-2-1_55HBC_2022-08-31_final.stac-item
2022-08-31 10:06:21	ga_s2bm_ard_3-2-1_54HYH_2022-08-31_final.stac-item
2022-08-31 10:06:29	ga_s2bm_ard_3-2-1_54HWH_2022-08-31_final.stac-item
2022-08-31 10:06:34	ga_s2bm_ard_3-2-1_55HBB_2022-08-31_final.stac-item
2022-08-31 10:06:35	ga_s2bm_ard_3-2-1_54HVH_2022-08-31_final.stac-item
2022-08-31 10:06:43	ga_s2bm_ard_3-2-1_54HWG_2022-08-31_final.stac-item
2022-08-31 10:06:47	ga_s2bm_ard_3-2-1_54HVG_2022-08-31_final.stac-item
2022-08-31 10:06:57	ga_s2bm_ard_3-2-1_55HBV_2022-08-31_final
2022-08-31 10:06:58	ga_s2bm_ard_3-2-1_54HWF_2022-08-31_final
2022-08-31 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2022-08-31_final
2022-08-31 10:07:04	ga_s2bm_ard_3-2-1_54HYE_2022-08-31_final
2022-08-31 10:07:09	ga_s2bm_ard_3-2-1_54HXE_2022-08-31_final
2022-08-31 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2022-08-31_final
2022-08-31 10:07:16	ga_s2bm_ard_3-2-1_54HVE_2022-08-31_final
2022-08-31 11:41:16	ga_s2bm_ard_3-2-1_51LVF_2022-08-31_final
2022-08-31 11:42:03	ga_s2bm_ard_3-2-1_51LUC_2022-08-31_final.stac-item
2022-08-31 11:42:10	ga_s2bm_ard_3-2-1_51KWB_2022-08-31_final
2022-08-31 11:42:14	ga_s2bm_ard_3-2-1_51KVB_2022-08-31_final
2022-08-31 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2022-08-31_final.stac-item
2022-08-31 11:42:22	ga_s2bm_ard_3-2-1_51KWA_2022-08-31_final
2022-08-31 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2022-08-31_final
2022-08-31 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2022-08-31_final
2022-08-31 11:42:43	ga_s2bm_ard_3-2-1_51KVV_2022-08-31_final
2022-08-31 11:42:47	ga_s2bm_ard_3-2-1_51KUV_2022-08-31_final
2022-08-31 11:42:58	ga_s2bm_ard_3-2-1_51KVU_2022-08-31_final
2022-08-31 11:43:01	ga_s2bm_ard_3-2-1_51KUU_2022-08-31_final
2022-08-31 11:43:04	ga_s2bm_ard_3-2-1_51KTU_2022-08-31_final
2022-08-31 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-08-31_final
2022-08-31 11:43:10	ga_s2bm_ard_3-2-1_50KQD_2022-08-31_final.stac-item
2022-08-31 11:43:12	ga_s2bm_ard_3-2-1_51KVT_2022-08-31_final
2022-08-31 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2022-08-31_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_51KTT_2022-08-31_final
2022-08-31 11:43:19	ga_s2bm_ard_3-2-1_50KRC_2022-08-31_final
2022-08-31 11:43:23	ga_s2bm_ard_3-2-1_50KQC_2022-08-31_final
2022-08-31 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2022-08-31_final
2022-08-31 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2022-08-31_final
2022-08-31 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2022-08-31_final
2022-08-31 11:44:52	ga_s2bm_ard_3-2-1_51JUL_2022-08-31_final
2022-08-31 11:45:25	ga_s2bm_ard_3-2-1_50JNQ_2022-08-31_final
2022-08-31 11:45:37	ga_s2bm_ard_3-2-1_50JPP_2022-08-31_final
2022-08-31 11:45:40	ga_s2bm_ard_3-2-1_50JNP_2022-08-31_final.stac-item
2022-08-31 11:46:09	ga_s2bm_ard_3-2-1_50JNM_2022-08-31_final
2022-08-31 11:46:14	ga_s2bm_ard_3-2-1_50JMM_2022-08-31_final
2022-08-31 11:46:20	ga_s2bm_ard_3-2-1_50JPL_2022-08-31_final
2022-08-31 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2022-08-31_final
2022-08-31 11:46:27	ga_s2bm_ard_3-2-1_50JML_2022-08-31_final
2022-08-31 11:46:54	ga_s2bm_ard_3-2-1_50HQH_2022-08-31_final
2022-08-31 11:47:07	ga_s2bm_ard_3-2-1_50HNH_2022-08-31_final
2022-08-31 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-08-31_final
2022-08-31 11:47:15	ga_s2bm_ard_3-2-1_50HLH_2022-08-31_final
2022-08-31 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2022-08-31_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

Other products

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