Search ga_s2bm_ard_3 on 21st August 2022

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
2022-08-21 10:01:51	ga_s2bm_ard_3-2-1_55KDA_2022-08-21_final
2022-08-21 10:02:31	ga_s2bm_ard_3-2-1_55KET_2022-08-21_final
2022-08-21 10:02:35	ga_s2bm_ard_3-2-1_55KDT_2022-08-21_final
2022-08-21 10:02:38	ga_s2bm_ard_3-2-1_55KCT_2022-08-21_final
2022-08-21 10:02:56	ga_s2bm_ard_3-2-1_55KBS_2022-08-21_final
2022-08-21 10:02:59	ga_s2bm_ard_3-2-1_55KER_2022-08-21_final
2022-08-21 10:03:04	ga_s2bm_ard_3-2-1_55KDR_2022-08-21_final
2022-08-21 10:03:07	ga_s2bm_ard_3-2-1_55KCR_2022-08-21_final
2022-08-21 10:03:10	ga_s2bm_ard_3-2-1_55KBR_2022-08-21_final
2022-08-21 10:03:10	ga_s2bm_ard_3-2-1_55KEQ_2022-08-21_final
2022-08-21 10:03:22	ga_s2bm_ard_3-2-1_55KCQ_2022-08-21_final
2022-08-21 10:03:25	ga_s2bm_ard_3-2-1_55KBQ_2022-08-21_final
2022-08-21 10:03:36	ga_s2bm_ard_3-2-1_55KCP_2022-08-21_final
2022-08-21 10:03:40	ga_s2bm_ard_3-2-1_54KZU_2022-08-21_final
2022-08-21 10:03:44	ga_s2bm_ard_3-2-1_54KYU_2022-08-21_final
2022-08-21 10:03:48	ga_s2bm_ard_3-2-1_55JDN_2022-08-21_final
2022-08-21 10:03:51	ga_s2bm_ard_3-2-1_55JCN_2022-08-21_final
2022-08-21 10:03:54	ga_s2bm_ard_3-2-1_54JZT_2022-08-21_final
2022-08-21 10:04:02	ga_s2bm_ard_3-2-1_55JDM_2022-08-21_final
2022-08-21 10:04:08	ga_s2bm_ard_3-2-1_54JZS_2022-08-21_final
2022-08-21 10:04:09	ga_s2bm_ard_3-2-1_55JBM_2022-08-21_final
2022-08-21 10:04:12	ga_s2bm_ard_3-2-1_54JYS_2022-08-21_final
2022-08-21 10:04:23	ga_s2bm_ard_3-2-1_55JBL_2022-08-21_final
2022-08-21 10:04:27	ga_s2bm_ard_3-2-1_54JYR_2022-08-21_final
2022-08-21 10:04:34	ga_s2bm_ard_3-2-1_54JXR_2022-08-21_final
2022-08-21 10:04:34	ga_s2bm_ard_3-2-1_55JCK_2022-08-21_final
2022-08-21 10:04:45	ga_s2bm_ard_3-2-1_54JXQ_2022-08-21_final
2022-08-21 10:04:52	ga_s2bm_ard_3-2-1_55JBJ_2022-08-21_final
2022-08-21 10:05:18	ga_s2bm_ard_3-2-1_55JCG_2022-08-21_final
2022-08-21 10:05:22	ga_s2bm_ard_3-2-1_55JBG_2022-08-21_final.stac-item
2022-08-21 10:05:28	ga_s2bm_ard_3-2-1_54JXM_2022-08-21_final.stac-item
2022-08-21 10:05:34	ga_s2bm_ard_3-2-1_54JWM_2022-08-21_final.stac-item
2022-08-21 10:05:36	ga_s2bm_ard_3-2-1_54JXM_2022-08-21_final.stac-item
2022-08-21 10:05:57	ga_s2bm_ard_3-2-1_54HXK_2022-08-21_final.stac-item
2022-08-21 10:06:05	ga_s2bm_ard_3-2-1_55HBD_2022-08-21_final.stac-item
2022-08-21 10:06:08	ga_s2bm_ard_3-2-1_54HYJ_2022-08-21_final.stac-item
2022-08-21 10:06:11	ga_s2bm_ard_3-2-1_54HXJ_2022-08-21_final.stac-item
2022-08-21 10:06:20	ga_s2bm_ard_3-2-1_55HBC_2022-08-21_final.stac-item
2022-08-21 10:06:22	ga_s2bm_ard_3-2-1_54HYH_2022-08-21_final.stac-item
2022-08-21 10:06:30	ga_s2bm_ard_3-2-1_54HWH_2022-08-21_final.stac-item
2022-08-21 10:06:34	ga_s2bm_ard_3-2-1_55HBB_2022-08-21_final.stac-item
2022-08-21 10:06:35	ga_s2bm_ard_3-2-1_54HVH_2022-08-21_final.stac-item
2022-08-21 10:06:36	ga_s2bm_ard_3-2-1_54HYG_2022-08-21_final.stac-item
2022-08-21 10:06:44	ga_s2bm_ard_3-2-1_54HWG_2022-08-21_final.stac-item
2022-08-21 10:06:47	ga_s2bm_ard_3-2-1_54HVG_2022-08-21_final.stac-item
2022-08-21 10:06:58	ga_s2bm_ard_3-2-1_54HWF_2022-08-21_final
2022-08-21 10:07:02	ga_s2bm_ard_3-2-1_54HVF_2022-08-21_final
2022-08-21 10:07:38	ga_s2bm_ard_3-2-1_54HXC_2022-08-21_final
2022-08-21 10:07:42	ga_s2bm_ard_3-2-1_54HWC_2022-08-21_final
2022-08-21 10:07:45	ga_s2bm_ard_3-2-1_54HVC_2022-08-21_final.stac-item
2022-08-21 11:40:59	ga_s2bm_ard_3-2-1_51LWG_2022-08-21_final.stac-item
2022-08-21 11:41:02	ga_s2bm_ard_3-2-1_51LVG_2022-08-21_final
2022-08-21 11:41:34	ga_s2bm_ard_3-2-1_51LUE_2022-08-21_final
2022-08-21 11:41:49	ga_s2bm_ard_3-2-1_51LUD_2022-08-21_final.stac-item
2022-08-21 11:42:23	ga_s2bm_ard_3-2-1_51KWA_2022-08-21_final
2022-08-21 11:42:32	ga_s2bm_ard_3-2-1_51KUA_2022-08-21_final
2022-08-21 11:43:05	ga_s2bm_ard_3-2-1_51KTU_2022-08-21_final
2022-08-21 11:43:05	ga_s2bm_ard_3-2-1_50KRD_2022-08-21_final
2022-08-21 11:43:10	ga_s2bm_ard_3-2-1_50KQD_2022-08-21_final.stac-item
2022-08-21 11:43:13	ga_s2bm_ard_3-2-1_51KVT_2022-08-21_final
2022-08-21 11:43:16	ga_s2bm_ard_3-2-1_51KUT_2022-08-21_final
2022-08-21 11:43:34	ga_s2bm_ard_3-2-1_51KTS_2022-08-21_final
2022-08-21 11:43:37	ga_s2bm_ard_3-2-1_51KVR_2022-08-21_final
2022-08-21 11:43:38	ga_s2bm_ard_3-2-1_50KQB_2022-08-21_final
2022-08-21 11:43:45	ga_s2bm_ard_3-2-1_51KUR_2022-08-21_final
2022-08-21 11:43:48	ga_s2bm_ard_3-2-1_51KTR_2022-08-21_final
2022-08-21 11:43:49	ga_s2bm_ard_3-2-1_50KRA_2022-08-21_final
2022-08-21 11:43:52	ga_s2bm_ard_3-2-1_50KQA_2022-08-21_final
2022-08-21 11:43:59	ga_s2bm_ard_3-2-1_51KUQ_2022-08-21_final
2022-08-21 11:44:03	ga_s2bm_ard_3-2-1_51KTQ_2022-08-21_final
2022-08-21 11:44:07	ga_s2bm_ard_3-2-1_50KQV_2022-08-21_final
2022-08-21 11:44:11	ga_s2bm_ard_3-2-1_50KPV_2022-08-21_final
2022-08-21 11:44:14	ga_s2bm_ard_3-2-1_51KUP_2022-08-21_final
2022-08-21 11:44:17	ga_s2bm_ard_3-2-1_50KRU_2022-08-21_final
2022-08-21 11:44:17	ga_s2bm_ard_3-2-1_51KTP_2022-08-21_final
2022-08-21 11:44:21	ga_s2bm_ard_3-2-1_50KQU_2022-08-21_final
2022-08-21 11:44:24	ga_s2bm_ard_3-2-1_50KPU_2022-08-21_final
2022-08-21 11:44:32	ga_s2bm_ard_3-2-1_50JRT_2022-08-21_final
2022-08-21 11:44:46	ga_s2bm_ard_3-2-1_50JRS_2022-08-21_final
2022-08-21 11:44:46	ga_s2bm_ard_3-2-1_51JTM_2022-08-21_final
2022-08-21 11:44:50	ga_s2bm_ard_3-2-1_50JQS_2022-08-21_final
2022-08-21 11:44:54	ga_s2bm_ard_3-2-1_50JPS_2022-08-21_final
2022-08-21 11:45:01	ga_s2bm_ard_3-2-1_51JTL_2022-08-21_final
2022-08-21 11:45:05	ga_s2bm_ard_3-2-1_50JQR_2022-08-21_final
2022-08-21 11:45:23	ga_s2bm_ard_3-2-1_50JPQ_2022-08-21_final
2022-08-21 11:45:30	ga_s2bm_ard_3-2-1_51JTJ_2022-08-21_final
2022-08-21 11:46:06	ga_s2bm_ard_3-2-1_50JPM_2022-08-21_final
2022-08-21 11:46:24	ga_s2bm_ard_3-2-1_50JNL_2022-08-21_final
2022-08-21 11:46:27	ga_s2bm_ard_3-2-1_50JML_2022-08-21_final
2022-08-21 11:46:35	ga_s2bm_ard_3-2-1_50HPK_2022-08-21_final
2022-08-21 11:46:44	ga_s2bm_ard_3-2-1_50HQJ_2022-08-21_final
2022-08-21 11:46:49	ga_s2bm_ard_3-2-1_50HPJ_2022-08-21_final
2022-08-21 11:46:55	ga_s2bm_ard_3-2-1_50HQH_2022-08-21_final
2022-08-21 11:47:08	ga_s2bm_ard_3-2-1_50HNH_2022-08-21_final
2022-08-21 11:47:11	ga_s2bm_ard_3-2-1_50HMH_2022-08-21_final
2022-08-21 11:47:22	ga_s2bm_ard_3-2-1_50HNG_2022-08-21_final.stac-item
2022-08-21 11:47:26	ga_s2bm_ard_3-2-1_50HMG_2022-08-21_final.stac-item
2022-08-21 13:21:39	ga_s2bm_ard_3-2-1_47LKH_2022-08-21_interim.stac-item
2022-08-21 13:21:39	ga_s2bm_ard_3-2-1_46LHN_2022-08-21_interim.stac-item
2022-08-21 13:21:45	ga_s2bm_ard_3-2-1_47LKG_2022-08-21_interim.stac-item

Return to ga_s2bm_ard_3 on 21st August 2022 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

2022

August

21st