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:

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First 100 results (query limit)

Time (local)	Label
2023-12-11 11:31:17	ga_s2bm_ard_3-2-1_51LZE_2023-12-11_final.stac-item
2023-12-11 11:32:40	ga_s2bm_ard_3-2-1_51KWV_2023-12-11_final.stac-item
2023-12-11 11:34:29	ga_s2bm_ard_3-2-1_51JUN_2023-12-11_final.stac-item
2023-12-11 11:34:33	ga_s2bm_ard_3-2-1_51JTN_2023-12-11_final.stac-item
2023-12-11 11:34:46	ga_s2bm_ard_3-2-1_50JRS_2023-12-11_final.stac-item
2023-12-11 11:36:28	ga_s2bm_ard_3-2-1_51HTE_2023-12-11_final.stac-item
2023-12-11 11:36:45	ga_s2bm_ard_3-2-1_50HQJ_2023-12-11_final.stac-item
2023-12-12 11:05:55	ga_s2bm_ard_3-2-1_52JBM_2023-12-12_final.stac-item
2023-12-13 10:31:48	ga_s2bm_ard_3-2-1_53KRB_2023-12-13_final.stac-item
2023-12-13 10:32:16	ga_s2bm_ard_3-2-1_53KRV_2023-12-13_final.stac-item
2023-12-13 10:32:31	ga_s2bm_ard_3-2-1_53KRU_2023-12-13_final.stac-item
2023-12-13 10:32:49	ga_s2bm_ard_3-2-1_53KQT_2023-12-13_final.stac-item
2023-12-13 10:33:04	ga_s2bm_ard_3-2-1_53KQS_2023-12-13_final.stac-item
2023-12-13 10:33:22	ga_s2bm_ard_3-2-1_53KPR_2023-12-13_final.stac-item
2023-12-13 10:33:45	ga_s2bm_ard_3-2-1_53KQP_2023-12-13_final.stac-item
2023-12-13 10:34:01	ga_s2bm_ard_3-2-1_53JQN_2023-12-13_final.stac-item
2023-12-13 10:34:05	ga_s2bm_ard_3-2-1_53JPN_2023-12-13_final.stac-item
2023-12-13 10:34:12	ga_s2bm_ard_3-2-1_53JRM_2023-12-13_final.stac-item
2023-12-13 10:34:37	ga_s2bm_ard_3-2-1_53JNL_2023-12-13_final.stac-item
2023-12-13 10:34:59	ga_s2bm_ard_3-2-1_53JQJ_2023-12-13_final.stac-item
2023-12-13 10:35:13	ga_s2bm_ard_3-2-1_53JQH_2023-12-13_final.stac-item
2023-12-13 10:35:15	ga_s2bm_ard_3-2-1_53JPH_2023-12-13_final.stac-item
2023-12-13 10:35:17	ga_s2bm_ard_3-2-1_53JNH_2023-12-13_final.stac-item
2023-12-13 10:35:20	ga_s2bm_ard_3-2-1_53JQH_2023-12-13_final.stac-item
2023-12-13 10:35:21	ga_s2bm_ard_3-2-1_53JPH_2023-12-13_final.stac-item
2023-12-13 10:35:23	ga_s2bm_ard_3-2-1_53JNH_2023-12-13_final.stac-item
2023-12-13 10:35:32	ga_s2bm_ard_3-2-1_53JPG_2023-12-13_final.stac-item
2023-12-13 10:35:35	ga_s2bm_ard_3-2-1_53JNG_2023-12-13_final.stac-item
2023-12-13 10:35:54	ga_s2bm_ard_3-2-1_53HQE_2023-12-13_final.stac-item
2023-12-13 10:36:00	ga_s2bm_ard_3-2-1_53HPE_2023-12-13_final.stac-item
2023-12-13 10:36:22	ga_s2bm_ard_3-2-1_53HMD_2023-12-13_final.stac-item
2023-12-13 10:36:26	ga_s2bm_ard_3-2-1_53HLD_2023-12-13_final.stac-item
2023-12-13 10:36:33	ga_s2bm_ard_3-2-1_53HNC_2023-12-13_final.stac-item
2023-12-13 10:36:37	ga_s2bm_ard_3-2-1_53HMC_2023-12-13_final.stac-item
2023-12-13 12:13:38	ga_s2bm_ard_3-2-1_49KHS_2023-12-13_final.stac-item
2023-12-13 12:13:52	ga_s2bm_ard_3-2-1_49KHR_2023-12-13_final.stac-item
2023-12-13 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-12-13_final.stac-item
2023-12-13 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-12-13_final.stac-item
2023-12-13 12:14:10	ga_s2bm_ard_3-2-1_49KGQ_2023-12-13_final.stac-item
2023-12-13 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2023-12-13_final.stac-item
2023-12-13 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-12-13_final.stac-item
2023-12-13 12:14:25	ga_s2bm_ard_3-2-1_49KGP_2023-12-13_final.stac-item
2023-12-13 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2023-12-13_final.stac-item
2023-12-13 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-12-13_final.stac-item
2023-12-13 12:14:54	ga_s2bm_ard_3-2-1_49JGM_2023-12-13_final.stac-item
2023-12-13 12:14:57	ga_s2bm_ard_3-2-1_49JFM_2023-12-13_final.stac-item
2023-12-13 12:15:08	ga_s2bm_ard_3-2-1_49JGL_2023-12-13_final.stac-item
2023-12-13 12:15:17	ga_s2bm_ard_3-2-1_49JGK_2023-12-13_final.stac-item
2023-12-14 10:07:42	ga_s2bm_ard_3-2-1_54HVC_2023-12-14_final.stac-item
2023-12-14 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2023-12-14_final.stac-item
2023-12-14 11:41:45	ga_s2bm_ard_3-2-1_51LUD_2023-12-14_final.stac-item
2023-12-14 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-12-14_final.stac-item
2023-12-14 11:43:07	ga_s2bm_ard_3-2-1_50KQD_2023-12-14_final.stac-item
2023-12-14 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2023-12-14_final.stac-item
2023-12-14 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2023-12-14_final.stac-item
2023-12-14 11:43:27	ga_s2bm_ard_3-2-1_50KQC_2023-12-14_final.stac-item
2023-12-14 11:43:32	ga_s2bm_ard_3-2-1_51KTS_2023-12-14_final.stac-item
2023-12-14 11:43:32	ga_s2bm_ard_3-2-1_50KRB_2023-12-14_final.stac-item
2023-12-14 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2023-12-14_final.stac-item
2023-12-14 11:43:45	ga_s2bm_ard_3-2-1_51KTR_2023-12-14_final.stac-item
2023-12-14 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2023-12-14_final.stac-item
2023-12-14 11:43:56	ga_s2bm_ard_3-2-1_51KUQ_2023-12-14_final.stac-item
2023-12-14 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2023-12-14_final.stac-item
2023-12-14 11:44:08	ga_s2bm_ard_3-2-1_50KPV_2023-12-14_final.stac-item
2023-12-14 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2023-12-14_final.stac-item
2023-12-14 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2023-12-14_final.stac-item
2023-12-14 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2023-12-14_final.stac-item
2023-12-14 11:44:33	ga_s2bm_ard_3-2-1_50JQT_2023-12-14_final.stac-item
2023-12-14 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2023-12-14_final.stac-item
2023-12-14 11:44:43	ga_s2bm_ard_3-2-1_51JTM_2023-12-14_final.stac-item
2023-12-14 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2023-12-14_final.stac-item
2023-12-14 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2023-12-14_final.stac-item
2023-12-14 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2023-12-14_final.stac-item
2023-12-14 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2023-12-14_final.stac-item
2023-12-14 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2023-12-14_final.stac-item
2023-12-14 11:45:48	ga_s2bm_ard_3-2-1_50JPN_2023-12-14_final.stac-item
2023-12-14 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2023-12-14_final.stac-item
2023-12-14 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-12-14_final.stac-item
2023-12-14 11:46:24	ga_s2bm_ard_3-2-1_50JML_2023-12-14_final.stac-item
2023-12-14 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2023-12-14_final.stac-item
2023-12-14 11:46:41	ga_s2bm_ard_3-2-1_50HQJ_2023-12-14_final.stac-item
2023-12-14 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2023-12-14_final.stac-item
2023-12-14 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2023-12-14_final.stac-item
2023-12-14 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-12-14_final.stac-item
2023-12-14 11:47:15	ga_s2bm_ard_3-2-1_50HPG_2023-12-14_final.stac-item
2023-12-14 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2023-12-14_final.stac-item
2023-12-14 11:47:22	ga_s2bm_ard_3-2-1_50HMG_2023-12-14_final.stac-item
2023-12-14 11:47:26	ga_s2bm_ard_3-2-1_50HLG_2023-12-14_final.stac-item
2023-12-24 11:40:33	ga_s2bm_ard_3-2-1_51LVJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:36	ga_s2bm_ard_3-2-1_51LUJ_2023-12-24_nrt.stac-item
2023-12-24 11:40:40	ga_s2bm_ard_3-2-1_51LXH_2023-12-24_nrt.stac-item
2023-12-24 11:41:42	ga_s2bm_ard_3-2-1_51LWD_2023-12-24_nrt.stac-item
2023-12-24 11:42:09	ga_s2bm_ard_3-2-1_50LRH_2023-12-24_nrt.stac-item
2023-12-24 11:47:33	ga_s2bm_ard_3-2-1_50HNF_2023-12-24_nrt.stac-item
2023-12-25 11:10:19	ga_s2bm_ard_3-2-1_52LFP_2023-12-25_nrt.stac-item
2023-12-25 11:10:58	ga_s2bm_ard_3-2-1_52LDM_2023-12-25_nrt.stac-item
2023-12-25 11:11:23	ga_s2bm_ard_3-2-1_52LDK_2023-12-25_nrt.stac-item
2023-12-25 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-12-25_nrt.stac-item
2023-12-25 11:16:50	ga_s2bm_ard_3-2-1_52HBH_2023-12-25_nrt.stac-item
2023-12-25 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-12-25_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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