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
2023-11-03 10:29:46	ga_s2bm_ard_3-2-1_54LWQ_2023-11-03_final.stac-item
2023-11-03 10:30:00	ga_s2bm_ard_3-2-1_54LWP_2023-11-03_final.stac-item
2023-11-03 10:30:43	ga_s2bm_ard_3-2-1_54LWL_2023-11-03_final.stac-item
2023-11-03 10:30:47	ga_s2bm_ard_3-2-1_54LVL_2023-11-03_final.stac-item
2023-11-03 10:31:02	ga_s2bm_ard_3-2-1_54LVK_2023-11-03_final.stac-item
2023-11-03 10:32:00	ga_s2bm_ard_3-2-1_54KVF_2023-11-03_final.stac-item
2023-11-03 10:32:03	ga_s2bm_ard_3-2-1_54KUF_2023-11-03_final.stac-item
2023-11-03 10:32:50	ga_s2bm_ard_3-2-1_54KTC_2023-11-03_final.stac-item
2023-11-03 10:32:52	ga_s2bm_ard_3-2-1_53KQT_2023-11-03_final.stac-item
2023-11-03 10:32:58	ga_s2bm_ard_3-2-1_53KQT_2023-11-03_final.stac-item
2023-11-03 10:33:04	ga_s2bm_ard_3-2-1_54KTB_2023-11-03_final.stac-item
2023-11-03 10:33:08	ga_s2bm_ard_3-2-1_53KQS_2023-11-03_final.stac-item
2023-11-03 10:33:19	ga_s2bm_ard_3-2-1_53KRR_2023-11-03_final.stac-item
2023-11-03 10:33:44	ga_s2bm_ard_3-2-1_54KUU_2023-11-03_final.stac-item
2023-11-03 10:34:16	ga_s2bm_ard_3-2-1_53JNN_2023-11-03_final.stac-item
2023-11-03 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2023-11-03_final.stac-item
2023-11-03 10:34:28	ga_s2bm_ard_3-2-1_53JNM_2023-11-03_final.stac-item
2023-11-03 10:34:35	ga_s2bm_ard_3-2-1_53JQL_2023-11-03_final.stac-item
2023-11-03 10:34:39	ga_s2bm_ard_3-2-1_53JPL_2023-11-03_final.stac-item
2023-11-03 10:34:50	ga_s2bm_ard_3-2-1_53JQK_2023-11-03_final.stac-item
2023-11-03 10:35:04	ga_s2bm_ard_3-2-1_53JQJ_2023-11-03_final.stac-item
2023-11-03 10:35:08	ga_s2bm_ard_3-2-1_53JPJ_2023-11-03_final.stac-item
2023-11-03 10:35:11	ga_s2bm_ard_3-2-1_54JTN_2023-11-03_final.stac-item
2023-11-03 10:35:18	ga_s2bm_ard_3-2-1_53JQH_2023-11-03_final.stac-item
2023-11-03 10:35:26	ga_s2bm_ard_3-2-1_53JNH_2023-11-03_final.stac-item
2023-11-03 10:35:33	ga_s2bm_ard_3-2-1_53JQG_2023-11-03_final.stac-item
2023-11-03 10:35:37	ga_s2bm_ard_3-2-1_53JPG_2023-11-03_final.stac-item
2023-11-03 10:35:40	ga_s2bm_ard_3-2-1_53JNG_2023-11-03_final.stac-item
2023-11-03 10:35:43	ga_s2bm_ard_3-2-1_53JMG_2023-11-03_final.stac-item
2023-11-03 10:35:51	ga_s2bm_ard_3-2-1_53JPF_2023-11-03_final.stac-item
2023-11-03 10:35:59	ga_s2bm_ard_3-2-1_53HQE_2023-11-03_final.stac-item
2023-11-03 10:36:05	ga_s2bm_ard_3-2-1_53HPE_2023-11-03_final.stac-item
2023-11-03 10:36:13	ga_s2bm_ard_3-2-1_53HME_2023-11-03_final.stac-item
2023-11-03 10:36:24	ga_s2bm_ard_3-2-1_53HND_2023-11-03_final.stac-item
2023-11-03 10:36:27	ga_s2bm_ard_3-2-1_53HMD_2023-11-03_final.stac-item
2023-11-03 10:36:35	ga_s2bm_ard_3-2-1_53HPC_2023-11-03_final.stac-item
2023-11-03 10:36:38	ga_s2bm_ard_3-2-1_53HNC_2023-11-03_final.stac-item
2023-11-03 10:36:42	ga_s2bm_ard_3-2-1_53HMC_2023-11-03_final.stac-item
2023-11-03 10:36:49	ga_s2bm_ard_3-2-1_53HPB_2023-11-03_final.stac-item
2023-11-03 10:36:53	ga_s2bm_ard_3-2-1_53HNB_2023-11-03_final.stac-item
2023-11-03 10:36:56	ga_s2bm_ard_3-2-1_53HMB_2023-11-03_final.stac-item
2023-11-03 10:37:01	ga_s2bm_ard_3-2-1_53HPA_2023-11-03_final.stac-item
2023-11-03 12:13:42	ga_s2bm_ard_3-2-1_50KKB_2023-11-03_final.stac-item
2023-11-03 12:13:42	ga_s2bm_ard_3-2-1_49KHS_2023-11-03_final.stac-item
2023-11-03 12:14:01	ga_s2bm_ard_3-2-1_49KGR_2023-11-03_final.stac-item
2023-11-03 12:14:10	ga_s2bm_ard_3-2-1_50KKV_2023-11-03_final.stac-item
2023-11-03 12:14:11	ga_s2bm_ard_3-2-1_49KHQ_2023-11-03_final.stac-item
2023-11-03 12:14:15	ga_s2bm_ard_3-2-1_49KGQ_2023-11-03_final.stac-item
2023-11-03 12:14:33	ga_s2bm_ard_3-2-1_49JHN_2023-11-03_final.stac-item
2023-11-03 12:14:48	ga_s2bm_ard_3-2-1_49JFN_2023-11-03_final.stac-item
2023-11-03 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-11-03_final.stac-item
2023-11-03 12:15:02	ga_s2bm_ard_3-2-1_49JFM_2023-11-03_final.stac-item
2023-11-04 10:02:44	ga_s2bm_ard_3-2-1_54KZC_2023-11-04_final.stac-item
2023-11-04 10:02:57	ga_s2bm_ard_3-2-1_55KBS_2023-11-04_final.stac-item
2023-11-04 10:03:19	ga_s2bm_ard_3-2-1_55KCQ_2023-11-04_final.stac-item
2023-11-04 10:04:16	ga_s2bm_ard_3-2-1_55JDL_2023-11-04_final.stac-item
2023-11-04 10:05:05	ga_s2bm_ard_3-2-1_55JCH_2023-11-04_final.stac-item
2023-11-04 10:07:37	ga_s2bm_ard_3-2-1_54HUD_2023-11-04_final.stac-item
2023-11-04 11:41:58	ga_s2bm_ard_3-2-1_51LWC_2023-11-04_final.stac-item
2023-11-04 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-11-04_final.stac-item
2023-11-04 11:43:11	ga_s2bm_ard_3-2-1_50KQD_2023-11-04_final.stac-item
2023-11-04 11:43:38	ga_s2bm_ard_3-2-1_51KVR_2023-11-04_final.stac-item
2023-11-04 11:43:50	ga_s2bm_ard_3-2-1_50KRA_2023-11-04_final.stac-item
2023-11-04 11:44:13	ga_s2bm_ard_3-2-1_50KPV_2023-11-04_final.stac-item
2023-11-04 11:44:43	ga_s2bm_ard_3-2-1_51JUM_2023-11-04_final.stac-item
2023-11-04 11:44:54	ga_s2bm_ard_3-2-1_51JUL_2023-11-04_final.stac-item
2023-11-04 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2023-11-04_final.stac-item
2023-11-13 12:10:32	ga_s2bm_ard_3-2-1_50LMP_2023-11-13_nrt.stac-item
2023-11-13 12:10:33	ga_s2bm_ard_3-2-1_50LLP_2023-11-13_nrt.stac-item
2023-11-13 12:13:48	ga_s2bm_ard_3-2-1_49KFS_2023-11-13_nrt.stac-item
2023-11-13 12:14:02	ga_s2bm_ard_3-2-1_49KFR_2023-11-13_nrt.stac-item
2023-11-13 12:14:17	ga_s2bm_ard_3-2-1_49KFQ_2023-11-13_nrt.stac-item
2023-11-13 12:15:21	ga_s2bm_ard_3-2-1_49JFK_2023-11-13_nrt.stac-item
2023-11-14 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2023-11-14_nrt.stac-item
2023-11-14 09:59:51	ga_s2bm_ard_3-2-1_55LEJ_2023-11-14_nrt.stac-item
2023-11-14 09:59:58	ga_s2bm_ard_3-2-1_55LGH_2023-11-14_nrt.stac-item
2023-11-14 10:00:05	ga_s2bm_ard_3-2-1_55LEH_2023-11-14_nrt.stac-item
2023-11-14 10:00:13	ga_s2bm_ard_3-2-1_55LGG_2023-11-14_nrt.stac-item
2023-11-14 10:00:20	ga_s2bm_ard_3-2-1_55LEG_2023-11-14_nrt.stac-item
2023-11-14 10:00:27	ga_s2bm_ard_3-2-1_55LGF_2023-11-14_nrt.stac-item
2023-11-14 10:00:34	ga_s2bm_ard_3-2-1_55LEF_2023-11-14_nrt.stac-item
2023-11-14 10:00:41	ga_s2bm_ard_3-2-1_55LGE_2023-11-14_nrt.stac-item
2023-11-14 10:00:49	ga_s2bm_ard_3-2-1_55LEE_2023-11-14_nrt.stac-item
2023-11-14 10:00:52	ga_s2bm_ard_3-2-1_55LGD_2023-11-14_nrt.stac-item
2023-11-14 10:01:03	ga_s2bm_ard_3-2-1_55LED_2023-11-14_nrt.stac-item
2023-11-14 10:07:47	ga_s2bm_ard_3-2-1_54HUC_2023-11-14_nrt.stac-item
2023-11-14 10:07:49	ga_s2bm_ard_3-2-1_54HXB_2023-11-14_nrt.stac-item
2023-11-14 10:07:53	ga_s2bm_ard_3-2-1_54HUB_2023-11-14_nrt.stac-item
2023-11-14 11:40:35	ga_s2bm_ard_3-2-1_51LUJ_2023-11-14_nrt.stac-item
2023-11-14 11:40:54	ga_s2bm_ard_3-2-1_51LXG_2023-11-14_nrt.stac-item
2023-11-14 11:41:04	ga_s2bm_ard_3-2-1_51LUG_2023-11-14_nrt.stac-item
2023-11-14 11:41:12	ga_s2bm_ard_3-2-1_51LWF_2023-11-14_nrt.stac-item
2023-11-14 11:41:17	ga_s2bm_ard_3-2-1_51LXE_2023-11-14_nrt.stac-item
2023-11-14 11:41:37	ga_s2bm_ard_3-2-1_51LTE_2023-11-14_nrt.stac-item
2023-11-14 11:41:41	ga_s2bm_ard_3-2-1_51LWD_2023-11-14_nrt.stac-item
2023-11-14 11:41:44	ga_s2bm_ard_3-2-1_51LVD_2023-11-14_nrt.stac-item
2023-11-14 11:42:05	ga_s2bm_ard_3-2-1_51LTC_2023-11-14_nrt.stac-item
2023-11-14 11:42:08	ga_s2bm_ard_3-2-1_50LRH_2023-11-14_nrt.stac-item
2023-11-14 11:47:32	ga_s2bm_ard_3-2-1_50HNF_2023-11-14_nrt.stac-item
2023-11-14 11:47:33	ga_s2bm_ard_3-2-1_50HMF_2023-11-14_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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