Search ga_s2bm_ard_3 on 8th 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
2023-09-08 10:10:02	ga_s2bm_ard_3-2-1_55LEH_2023-09-08_nrt.stac-item
2023-09-08 10:10:07	ga_s2bm_ard_3-2-1_55LDH_2023-09-08_nrt.stac-item
2023-09-08 10:10:11	ga_s2bm_ard_3-2-1_55LCH_2023-09-08_nrt.stac-item
2023-09-08 10:11:23	ga_s2bm_ard_3-2-1_55LCC_2023-09-08_final.stac-item
2023-09-08 10:11:38	ga_s2bm_ard_3-2-1_55KCB_2023-09-08_final.stac-item
2023-09-08 10:11:41	ga_s2bm_ard_3-2-1_55KBB_2023-09-08_final.stac-item
2023-09-08 10:11:42	ga_s2bm_ard_3-2-1_54KZG_2023-09-08_final.stac-item
2023-09-08 10:11:46	ga_s2bm_ard_3-2-1_54KYG_2023-09-08_final.stac-item
2023-09-08 10:11:57	ga_s2bm_ard_3-2-1_54KZF_2023-09-08_final.stac-item
2023-09-08 10:12:21	ga_s2bm_ard_3-2-1_55KCU_2023-09-08_final.stac-item
2023-09-08 10:12:33	ga_s2bm_ard_3-2-1_54KXD_2023-09-08_final.stac-item
2023-09-08 10:12:47	ga_s2bm_ard_3-2-1_54KXC_2023-09-08_final.stac-item
2023-09-08 10:12:54	ga_s2bm_ard_3-2-1_55KBS_2023-09-08_final.stac-item
2023-09-08 10:12:58	ga_s2bm_ard_3-2-1_54KYB_2023-09-08_final.stac-item
2023-09-08 10:13:16	ga_s2bm_ard_3-2-1_54KXA_2023-09-08_final.stac-item
2023-09-08 10:13:23	ga_s2bm_ard_3-2-1_55KBQ_2023-09-08_final.stac-item
2023-09-08 10:13:27	ga_s2bm_ard_3-2-1_54KYV_2023-09-08_final.stac-item
2023-09-08 10:13:31	ga_s2bm_ard_3-2-1_54KXV_2023-09-08_final.stac-item
2023-09-08 10:13:37	ga_s2bm_ard_3-2-1_55KBP_2023-09-08_final.stac-item
2023-09-08 10:13:45	ga_s2bm_ard_3-2-1_54KXU_2023-09-08_final.stac-item
2023-09-08 10:14:00	ga_s2bm_ard_3-2-1_54JXT_2023-09-08_final.stac-item
2023-09-08 10:14:03	ga_s2bm_ard_3-2-1_54JWT_2023-09-08_final.stac-item
2023-09-08 10:14:10	ga_s2bm_ard_3-2-1_54JVT_2023-09-08_final.stac-item
2023-09-08 10:14:14	ga_s2bm_ard_3-2-1_54JXS_2023-09-08_final.stac-item
2023-09-08 10:14:18	ga_s2bm_ard_3-2-1_54JWS_2023-09-08_final.stac-item
2023-09-08 10:14:21	ga_s2bm_ard_3-2-1_54JVS_2023-09-08_final.stac-item
2023-09-08 10:15:01	ga_s2bm_ard_3-2-1_54JWP_2023-09-08_final.stac-item
2023-09-08 10:15:02	ga_s2bm_ard_3-2-1_54JYN_2023-09-08_final.stac-item
2023-09-08 10:15:05	ga_s2bm_ard_3-2-1_54JVP_2023-09-08_final.stac-item
2023-09-08 10:15:12	ga_s2bm_ard_3-2-1_54JUP_2023-09-08_final.stac-item
2023-09-08 10:15:19	ga_s2bm_ard_3-2-1_54JVN_2023-09-08_final.stac-item
2023-09-08 10:15:22	ga_s2bm_ard_3-2-1_54JUN_2023-09-08_final.stac-item
2023-09-08 10:15:26	ga_s2bm_ard_3-2-1_54JVN_2023-09-08_final.stac-item
2023-09-08 10:15:28	ga_s2bm_ard_3-2-1_54JUM_2023-09-08_final.stac-item
2023-09-08 10:15:28	ga_s2bm_ard_3-2-1_54JUN_2023-09-08_final.stac-item
2023-09-08 10:15:45	ga_s2bm_ard_3-2-1_54JWL_2023-09-08_final.stac-item
2023-09-08 10:15:48	ga_s2bm_ard_3-2-1_54JVL_2023-09-08_final.stac-item
2023-09-08 10:16:14	ga_s2bm_ard_3-2-1_54HWJ_2023-09-08_final.stac-item
2023-09-08 10:16:17	ga_s2bm_ard_3-2-1_54HVJ_2023-09-08_final.stac-item
2023-09-08 10:16:21	ga_s2bm_ard_3-2-1_54HUJ_2023-09-08_final.stac-item
2023-09-08 10:16:25	ga_s2bm_ard_3-2-1_54HTJ_2023-09-08_final.stac-item
2023-09-08 10:16:28	ga_s2bm_ard_3-2-1_54HWH_2023-09-08_final.stac-item
2023-09-08 10:16:32	ga_s2bm_ard_3-2-1_54HVH_2023-09-08_final.stac-item
2023-09-08 10:16:38	ga_s2bm_ard_3-2-1_54HTH_2023-09-08_final.stac-item
2023-09-08 10:16:43	ga_s2bm_ard_3-2-1_54HWG_2023-09-08_final.stac-item
2023-09-08 10:16:46	ga_s2bm_ard_3-2-1_54HVG_2023-09-08_final.stac-item
2023-09-08 10:16:53	ga_s2bm_ard_3-2-1_54HTG_2023-09-08_final.stac-item
2023-09-08 10:16:56	ga_s2bm_ard_3-2-1_53HQB_2023-09-08_final.stac-item
2023-09-08 10:16:56	ga_s2bm_ard_3-2-1_54HWF_2023-09-08_final.stac-item
2023-09-08 10:17:01	ga_s2bm_ard_3-2-1_54HVF_2023-09-08_final.stac-item
2023-09-08 10:17:08	ga_s2bm_ard_3-2-1_54HWE_2023-09-08_final.stac-item
2023-09-08 10:17:15	ga_s2bm_ard_3-2-1_54HVE_2023-09-08_final.stac-item
2023-09-08 10:17:19	ga_s2bm_ard_3-2-1_54HUE_2023-09-08_final.stac-item
2023-09-08 10:17:22	ga_s2bm_ard_3-2-1_54HTE_2023-09-08_final.stac-item
2023-09-08 10:17:23	ga_s2bm_ard_3-2-1_53HQV_2023-09-08_final.stac-item
2023-09-08 11:50:48	ga_s2bm_ard_3-2-1_51LUH_2023-09-08_nrt.stac-item
2023-09-08 11:50:54	ga_s2bm_ard_3-2-1_50LRN_2023-09-08_nrt.stac-item
2023-09-08 11:51:35	ga_s2bm_ard_3-2-1_51LTE_2023-09-08_nrt.stac-item
2023-09-08 11:52:13	ga_s2bm_ard_3-2-1_50LPH_2023-09-08_nrt.stac-item
2023-09-08 11:52:19	ga_s2bm_ard_3-2-1_51KTB_2023-09-08_nrt.stac-item
2023-09-08 11:52:20	ga_s2bm_ard_3-2-1_50KRG_2023-09-08_nrt.stac-item
2023-09-08 11:52:24	ga_s2bm_ard_3-2-1_50KQG_2023-09-08_final.stac-item
2023-09-08 11:52:27	ga_s2bm_ard_3-2-1_50KPG_2023-09-08_nrt.stac-item
2023-09-08 11:52:34	ga_s2bm_ard_3-2-1_50KRF_2023-09-08_nrt.stac-item
2023-09-08 11:52:38	ga_s2bm_ard_3-2-1_50KQF_2023-09-08_final.stac-item
2023-09-08 11:52:59	ga_s2bm_ard_3-2-1_50KNE_2023-09-08_nrt.stac-item
2023-09-08 11:53:25	ga_s2bm_ard_3-2-1_50KPC_2023-09-08_final.stac-item
2023-09-08 11:53:29	ga_s2bm_ard_3-2-1_50KNC_2023-09-08_final.stac-item
2023-09-08 11:53:35	ga_s2bm_ard_3-2-1_50KMC_2023-09-08_final.stac-item
2023-09-08 11:53:36	ga_s2bm_ard_3-2-1_50KQB_2023-09-08_final.stac-item
2023-09-08 11:53:54	ga_s2bm_ard_3-2-1_50KPA_2023-09-08_final.stac-item
2023-09-08 11:54:05	ga_s2bm_ard_3-2-1_50KQV_2023-09-08_final.stac-item
2023-09-08 11:54:09	ga_s2bm_ard_3-2-1_50KPV_2023-09-08_final.stac-item
2023-09-08 11:54:16	ga_s2bm_ard_3-2-1_50KMV_2023-09-08_final.stac-item
2023-09-08 11:54:23	ga_s2bm_ard_3-2-1_50KPU_2023-09-08_final.stac-item
2023-09-08 11:54:37	ga_s2bm_ard_3-2-1_50KLU_2023-09-08_final.stac-item
2023-09-08 11:54:37	ga_s2bm_ard_3-2-1_50JPT_2023-09-08_final.stac-item
2023-09-08 11:54:41	ga_s2bm_ard_3-2-1_50JNT_2023-09-08_final.stac-item
2023-09-08 11:54:45	ga_s2bm_ard_3-2-1_50JMT_2023-09-08_final.stac-item
2023-09-08 11:54:48	ga_s2bm_ard_3-2-1_50JLT_2023-09-08_final.stac-item
2023-09-08 11:54:52	ga_s2bm_ard_3-2-1_50JPS_2023-09-08_final.stac-item
2023-09-08 11:54:56	ga_s2bm_ard_3-2-1_50JNS_2023-09-08_final.stac-item
2023-09-08 11:54:59	ga_s2bm_ard_3-2-1_50JMS_2023-09-08_final.stac-item
2023-09-08 11:55:02	ga_s2bm_ard_3-2-1_50JLS_2023-09-08_final.stac-item
2023-09-08 11:55:39	ga_s2bm_ard_3-2-1_50JNP_2023-09-08_final.stac-item
2023-09-08 11:55:43	ga_s2bm_ard_3-2-1_50JMP_2023-09-08_final.stac-item
2023-09-08 11:55:50	ga_s2bm_ard_3-2-1_50JKP_2023-09-08_final.stac-item
2023-09-08 11:55:54	ga_s2bm_ard_3-2-1_50JNN_2023-09-08_final.stac-item
2023-09-08 11:55:57	ga_s2bm_ard_3-2-1_50JMN_2023-09-08_final.stac-item
2023-09-08 11:56:22	ga_s2bm_ard_3-2-1_50JNL_2023-09-08_final.stac-item
2023-09-08 11:56:26	ga_s2bm_ard_3-2-1_50JML_2023-09-08_final.stac-item
2023-09-08 11:56:55	ga_s2bm_ard_3-2-1_50HMJ_2023-09-08_final.stac-item
2023-09-08 11:56:59	ga_s2bm_ard_3-2-1_50HLJ_2023-09-08_final.stac-item
2023-09-08 11:57:10	ga_s2bm_ard_3-2-1_50HMH_2023-09-08_final.stac-item
2023-09-08 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-09-08_nrt.stac-item
2023-09-08 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-09-08_nrt.stac-item
2023-09-08 11:57:24	ga_s2bm_ard_3-2-1_50HMG_2023-09-08_final.stac-item
2023-09-08 11:57:26	ga_s2bm_ard_3-2-1_50HLG_2023-09-08_final.stac-item
2023-09-08 11:57:27	ga_s2bm_ard_3-2-1_49HFC_2023-09-08_nrt.stac-item
2023-09-08 11:57:28	ga_s2bm_ard_3-2-1_50HKG_2023-09-08_nrt.stac-item

Return to ga_s2bm_ard_3 on 8th 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

8th