Search ga_s2bm_ard_3 on 6th September 2023

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
2023-09-06 09:29:59	ga_s2bm_ard_3-2-1_56LPN_2023-09-05_nrt.stac-item
2023-09-06 09:32:31	ga_s2bm_ard_3-2-1_56KPC_2023-09-06_final.stac-item
2023-09-06 09:32:38	ga_s2bm_ard_3-2-1_56KPB_2023-09-06_final.stac-item
2023-09-06 09:32:42	ga_s2bm_ard_3-2-1_56KNB_2023-09-06_final.stac-item
2023-09-06 09:32:45	ga_s2bm_ard_3-2-1_56KMB_2023-09-06_final.stac-item
2023-09-06 09:32:53	ga_s2bm_ard_3-2-1_56KPA_2023-09-06_nrt.stac-item
2023-09-06 09:32:57	ga_s2bm_ard_3-2-1_56KNA_2023-09-06_final.stac-item
2023-09-06 09:33:00	ga_s2bm_ard_3-2-1_56KMA_2023-09-06_final.stac-item
2023-09-06 09:33:03	ga_s2bm_ard_3-2-1_56KLA_2023-09-06_final.stac-item
2023-09-06 09:33:08	ga_s2bm_ard_3-2-1_56KPV_2023-09-06_nrt.stac-item
2023-09-06 09:33:17	ga_s2bm_ard_3-2-1_56KLV_2023-09-06_final.stac-item
2023-09-06 09:33:22	ga_s2bm_ard_3-2-1_56KPU_2023-09-06_nrt.stac-item
2023-09-06 09:33:32	ga_s2bm_ard_3-2-1_56KLU_2023-09-06_final.stac-item
2023-09-06 09:33:34	ga_s2bm_ard_3-2-1_56JPT_2023-09-06_nrt.stac-item
2023-09-06 09:33:40	ga_s2bm_ard_3-2-1_56JNT_2023-09-06_final.stac-item
2023-09-06 09:33:44	ga_s2bm_ard_3-2-1_56JMT_2023-09-06_final.stac-item
2023-09-06 09:33:44	ga_s2bm_ard_3-2-1_56JPS_2023-09-06_nrt.stac-item
2023-09-06 09:33:47	ga_s2bm_ard_3-2-1_56JLT_2023-09-06_final.stac-item
2023-09-06 09:33:54	ga_s2bm_ard_3-2-1_56JKT_2023-09-06_final.stac-item
2023-09-06 09:33:54	ga_s2bm_ard_3-2-1_56JNS_2023-09-06_final.stac-item
2023-09-06 09:33:58	ga_s2bm_ard_3-2-1_56JMS_2023-09-06_final.stac-item
2023-09-06 09:34:01	ga_s2bm_ard_3-2-1_56JLS_2023-09-06_final.stac-item
2023-09-06 09:34:37	ga_s2bm_ard_3-2-1_56JNP_2023-09-06_final.stac-item
2023-09-06 09:34:42	ga_s2bm_ard_3-2-1_56JMP_2023-09-06_final.stac-item
2023-09-06 09:34:55	ga_s2bm_ard_3-2-1_55JGJ_2023-09-06_final.stac-item
2023-09-06 09:35:25	ga_s2bm_ard_3-2-1_56JML_2023-09-06_final.stac-item
2023-09-06 09:36:01	ga_s2bm_ard_3-2-1_56HKJ_2023-09-06_final.stac-item
2023-09-06 09:36:16	ga_s2bm_ard_3-2-1_56HKH_2023-09-06_final.stac-item
2023-09-06 09:36:18	ga_s2bm_ard_3-2-1_55HGC_2023-09-06_final.stac-item
2023-09-06 09:36:30	ga_s2bm_ard_3-2-1_56HKG_2023-09-06_final.stac-item
2023-09-06 09:36:32	ga_s2bm_ard_3-2-1_55HGB_2023-09-06_final.stac-item
2023-09-06 09:36:55	ga_s2bm_ard_3-2-1_55HEA_2023-09-06_final.stac-item
2023-09-06 09:36:56	ga_s2bm_ard_3-2-1_56HLE_2023-09-06_nrt.stac-item
2023-09-06 09:36:59	ga_s2bm_ard_3-2-1_56HKE_2023-09-06_nrt.stac-item
2023-09-06 09:37:00	ga_s2bm_ard_3-2-1_55HGV_2023-09-06_final.stac-item
2023-09-06 09:37:02	ga_s2bm_ard_3-2-1_55HFV_2023-09-06_final.stac-item
2023-09-06 09:37:03	ga_s2bm_ard_3-2-1_55HEV_2023-09-06_final.stac-item
2023-09-06 09:37:04	ga_s2bm_ard_3-2-1_56HLE_2023-09-06_nrt.stac-item
2023-09-06 09:37:06	ga_s2bm_ard_3-2-1_56HKE_2023-09-06_nrt.stac-item
2023-09-06 09:37:07	ga_s2bm_ard_3-2-1_55HGV_2023-09-06_final.stac-item
2023-09-06 09:37:08	ga_s2bm_ard_3-2-1_55HFV_2023-09-06_final.stac-item
2023-09-06 09:37:10	ga_s2bm_ard_3-2-1_55HEV_2023-09-06_final.stac-item
2023-09-06 09:37:48	ga_s2bm_ard_3-2-1_55HFS_2023-09-06_final.stac-item
2023-09-06 09:37:52	ga_s2bm_ard_3-2-1_55HES_2023-09-06_final.stac-item
2023-09-06 09:37:56	ga_s2bm_ard_3-2-1_55HDS_2023-09-06_final.stac-item
2023-09-06 09:37:58	ga_s2bm_ard_3-2-1_56GKA_2023-09-06_nrt.stac-item
2023-09-06 09:37:58	ga_s2bm_ard_3-2-1_55GGR_2023-09-06_nrt.stac-item
2023-09-06 09:38:02	ga_s2bm_ard_3-2-1_55GFR_2023-09-06_final.stac-item
2023-09-06 09:38:10	ga_s2bm_ard_3-2-1_55GDR_2023-09-06_final.stac-item
2023-09-06 09:38:12	ga_s2bm_ard_3-2-1_56GKV_2023-09-06_nrt.stac-item
2023-09-06 09:38:12	ga_s2bm_ard_3-2-1_55GGQ_2023-09-06_nrt.stac-item
2023-09-06 09:38:17	ga_s2bm_ard_3-2-1_55GFQ_2023-09-06_final.stac-item
2023-09-06 09:38:21	ga_s2bm_ard_3-2-1_55GEQ_2023-09-06_final.stac-item
2023-09-06 09:38:24	ga_s2bm_ard_3-2-1_55GGP_2023-09-06_nrt.stac-item
2023-09-06 09:38:25	ga_s2bm_ard_3-2-1_55GDQ_2023-09-06_final.stac-item
2023-09-06 09:38:25	ga_s2bm_ard_3-2-1_56GKU_2023-09-06_nrt.stac-item
2023-09-06 09:38:31	ga_s2bm_ard_3-2-1_55GFP_2023-09-06_final.stac-item
2023-09-06 09:38:35	ga_s2bm_ard_3-2-1_55GEP_2023-09-06_final.stac-item
2023-09-06 09:38:39	ga_s2bm_ard_3-2-1_55GDP_2023-09-06_final.stac-item
2023-09-06 09:38:45	ga_s2bm_ard_3-2-1_55GCP_2023-09-06_final.stac-item
2023-09-06 09:38:45	ga_s2bm_ard_3-2-1_55GFN_2023-09-06_final.stac-item
2023-09-06 09:38:53	ga_s2bm_ard_3-2-1_55GDN_2023-09-06_final.stac-item
2023-09-06 09:38:57	ga_s2bm_ard_3-2-1_55GCN_2023-09-06_final.stac-item
2023-09-06 09:39:00	ga_s2bm_ard_3-2-1_55GFM_2023-09-06_nrt.stac-item
2023-09-06 11:10:29	ga_s2bm_ard_3-2-1_52LHN_2023-09-06_final.stac-item
2023-09-06 11:10:33	ga_s2bm_ard_3-2-1_52LGN_2023-09-06_final.stac-item
2023-09-06 11:10:37	ga_s2bm_ard_3-2-1_52LFN_2023-09-06_final.stac-item
2023-09-06 11:10:40	ga_s2bm_ard_3-2-1_52LEN_2023-09-06_nrt.stac-item
2023-09-06 11:11:55	ga_s2bm_ard_3-2-1_52KGG_2023-09-06_final.stac-item
2023-09-06 11:13:05	ga_s2bm_ard_3-2-1_52KEC_2023-09-06_final.stac-item
2023-09-06 11:13:09	ga_s2bm_ard_3-2-1_52KDC_2023-09-06_final.stac-item
2023-09-06 11:13:12	ga_s2bm_ard_3-2-1_52KCC_2023-09-06_final.stac-item
2023-09-06 11:13:18	ga_s2bm_ard_3-2-1_52KBC_2023-09-06_final.stac-item
2023-09-06 11:13:25	ga_s2bm_ard_3-2-1_52KEB_2023-09-06_final.stac-item
2023-09-06 11:13:26	ga_s2bm_ard_3-2-1_52KDB_2023-09-06_final.stac-item
2023-09-06 11:13:28	ga_s2bm_ard_3-2-1_52KCB_2023-09-06_final.stac-item
2023-09-06 11:13:31	ga_s2bm_ard_3-2-1_52KBB_2023-09-06_final.stac-item
2023-09-06 11:13:33	ga_s2bm_ard_3-2-1_51KZS_2023-09-06_final.stac-item
2023-09-06 11:13:34	ga_s2bm_ard_3-2-1_52KEA_2023-09-06_final.stac-item
2023-09-06 11:13:38	ga_s2bm_ard_3-2-1_52KDA_2023-09-06_final.stac-item
2023-09-06 11:13:41	ga_s2bm_ard_3-2-1_52KCA_2023-09-06_final.stac-item
2023-09-06 11:13:56	ga_s2bm_ard_3-2-1_52KCV_2023-09-06_final.stac-item
2023-09-06 11:13:59	ga_s2bm_ard_3-2-1_52KBV_2023-09-06_final.stac-item
2023-09-06 11:14:10	ga_s2bm_ard_3-2-1_52KCU_2023-09-06_final.stac-item
2023-09-06 11:14:13	ga_s2bm_ard_3-2-1_52KBU_2023-09-06_final.stac-item
2023-09-06 11:14:21	ga_s2bm_ard_3-2-1_52JDT_2023-09-06_final.stac-item
2023-09-06 11:14:25	ga_s2bm_ard_3-2-1_52JCT_2023-09-06_final.stac-item
2023-09-06 11:14:28	ga_s2bm_ard_3-2-1_52JBT_2023-09-06_final.stac-item
2023-09-06 11:14:33	ga_s2bm_ard_3-2-1_51JYN_2023-09-06_final.stac-item
2023-09-06 11:14:36	ga_s2bm_ard_3-2-1_52JDS_2023-09-06_final.stac-item
2023-09-06 11:14:39	ga_s2bm_ard_3-2-1_52JCS_2023-09-06_final.stac-item
2023-09-06 11:15:17	ga_s2bm_ard_3-2-1_52JDP_2023-09-06_final.stac-item
2023-09-06 11:16:32	ga_s2bm_ard_3-2-1_52HCJ_2023-09-06_nrt.stac-item
2023-09-06 11:16:39	ga_s2bm_ard_3-2-1_52HBJ_2023-09-06_nrt.stac-item
2023-09-06 11:16:41	ga_s2bm_ard_3-2-1_51HYD_2023-09-06_final.stac-item
2023-09-06 11:16:54	ga_s2bm_ard_3-2-1_52HBH_2023-09-06_nrt.stac-item
2023-09-06 11:16:56	ga_s2bm_ard_3-2-1_51HYC_2023-09-06_nrt.stac-item
2023-09-06 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2023-09-06_final.stac-item
2023-09-06 11:17:06	ga_s2bm_ard_3-2-1_52HBG_2023-09-06_nrt.stac-item
2023-09-06 11:17:07	ga_s2bm_ard_3-2-1_51HYB_2023-09-06_nrt.stac-item

Return to ga_s2bm_ard_3 on 6th September 2023 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

2023

September

6th