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
2023-09-24 10:32:26	ga_s2bm_ard_3-2-1_53KQV_2023-09-24_final.stac-item
2023-09-24 10:32:38	ga_s2bm_ard_3-2-1_53KQU_2023-09-24_final.stac-item
2023-09-24 10:32:45	ga_s2bm_ard_3-2-1_53KQU_2023-09-24_final.stac-item
2023-09-24 10:33:24	ga_s2bm_ard_3-2-1_53KQR_2023-09-24_final.stac-item
2023-09-24 10:33:38	ga_s2bm_ard_3-2-1_53KQQ_2023-09-24_final.stac-item
2023-09-24 10:33:41	ga_s2bm_ard_3-2-1_53KPQ_2023-09-24_final.stac-item
2023-09-24 10:33:56	ga_s2bm_ard_3-2-1_53KPP_2023-09-24_final.stac-item
2023-09-24 10:34:07	ga_s2bm_ard_3-2-1_53JQN_2023-09-24_final.stac-item
2023-09-24 10:34:11	ga_s2bm_ard_3-2-1_53JPN_2023-09-24_final.stac-item
2023-09-24 10:34:17	ga_s2bm_ard_3-2-1_53JRM_2023-09-24_final.stac-item
2023-09-24 10:34:22	ga_s2bm_ard_3-2-1_53JQM_2023-09-24_final.stac-item
2023-09-24 10:34:25	ga_s2bm_ard_3-2-1_53JPM_2023-09-24_final.stac-item
2023-09-24 10:34:29	ga_s2bm_ard_3-2-1_53JNM_2023-09-24_final.stac-item
2023-09-24 10:34:43	ga_s2bm_ard_3-2-1_53JNL_2023-09-24_final.stac-item
2023-09-24 10:35:05	ga_s2bm_ard_3-2-1_53JQJ_2023-09-24_final.stac-item
2023-09-24 10:35:18	ga_s2bm_ard_3-2-1_53JMJ_2023-09-24_final.stac-item
2023-09-24 10:35:19	ga_s2bm_ard_3-2-1_53JQH_2023-09-24_final.stac-item
2023-09-24 10:35:23	ga_s2bm_ard_3-2-1_53JPH_2023-09-24_final.stac-item
2023-09-24 10:35:27	ga_s2bm_ard_3-2-1_53JNH_2023-09-24_final.stac-item
2023-09-24 10:35:30	ga_s2bm_ard_3-2-1_53JMH_2023-09-24_final.stac-item
2023-09-24 10:35:38	ga_s2bm_ard_3-2-1_53JPG_2023-09-24_final.stac-item
2023-09-24 10:35:41	ga_s2bm_ard_3-2-1_53JNG_2023-09-24_final.stac-item
2023-09-24 10:36:00	ga_s2bm_ard_3-2-1_53HQE_2023-09-24_final.stac-item
2023-09-24 10:36:06	ga_s2bm_ard_3-2-1_53HPE_2023-09-24_final.stac-item
2023-09-24 10:36:10	ga_s2bm_ard_3-2-1_53HNE_2023-09-24_final.stac-item
2023-09-24 10:36:25	ga_s2bm_ard_3-2-1_53HND_2023-09-24_final.stac-item
2023-09-24 10:36:28	ga_s2bm_ard_3-2-1_53HMD_2023-09-24_final.stac-item
2023-09-24 10:36:39	ga_s2bm_ard_3-2-1_53HNC_2023-09-24_final.stac-item
2023-09-24 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-09-24_final.stac-item
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-09-24_final.stac-item
2023-09-24 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2023-09-24_final.stac-item
2023-09-24 12:14:02	ga_s2bm_ard_3-2-1_49KGR_2023-09-24_final.stac-item
2023-09-24 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-09-24_final.stac-item
2023-09-24 12:14:16	ga_s2bm_ard_3-2-1_49KGQ_2023-09-24_final.stac-item
2023-09-24 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-09-24_final.stac-item
2023-09-24 12:14:30	ga_s2bm_ard_3-2-1_49KGP_2023-09-24_final.stac-item
2023-09-24 12:14:34	ga_s2bm_ard_3-2-1_49JHN_2023-09-24_final.stac-item
2023-09-24 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2023-09-24_final.stac-item
2023-09-24 12:14:49	ga_s2bm_ard_3-2-1_49JFN_2023-09-24_final.stac-item
2023-09-24 12:14:59	ga_s2bm_ard_3-2-1_49JGM_2023-09-24_final.stac-item
2023-09-24 12:15:22	ga_s2bm_ard_3-2-1_49JGK_2023-09-24_final.stac-item
2023-09-25 11:41:01	ga_s2bm_ard_3-2-1_51LWG_2023-09-25_final.stac-item
2023-09-25 11:41:22	ga_s2bm_ard_3-2-1_51LUF_2023-09-25_final.stac-item
2023-09-25 11:41:29	ga_s2bm_ard_3-2-1_51LWE_2023-09-25_final.stac-item
2023-09-25 11:42:05	ga_s2bm_ard_3-2-1_51LUC_2023-09-25_final.stac-item
2023-09-25 11:42:12	ga_s2bm_ard_3-2-1_51KWB_2023-09-25_final.stac-item
2023-09-25 11:42:16	ga_s2bm_ard_3-2-1_51KVB_2023-09-25_final.stac-item
2023-09-25 11:42:20	ga_s2bm_ard_3-2-1_51KUB_2023-09-25_final.stac-item
2023-09-25 11:42:24	ga_s2bm_ard_3-2-1_51KWA_2023-09-25_final.stac-item
2023-09-25 11:42:31	ga_s2bm_ard_3-2-1_51KVA_2023-09-25_final.stac-item
2023-09-25 11:42:34	ga_s2bm_ard_3-2-1_51KUA_2023-09-25_final.stac-item
2023-09-25 11:43:07	ga_s2bm_ard_3-2-1_51KTU_2023-09-25_final.stac-item
2023-09-25 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2023-09-25_final.stac-item
2023-09-25 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2023-09-25_final.stac-item
2023-09-25 11:43:28	ga_s2bm_ard_3-2-1_51KVS_2023-09-25_final.stac-item
2023-09-25 11:43:32	ga_s2bm_ard_3-2-1_51KUS_2023-09-25_final.stac-item
2023-09-25 11:43:36	ga_s2bm_ard_3-2-1_50KRB_2023-09-25_final.stac-item
2023-09-25 11:43:40	ga_s2bm_ard_3-2-1_50KQB_2023-09-25_final.stac-item
2023-09-25 11:43:47	ga_s2bm_ard_3-2-1_51KUR_2023-09-25_final.stac-item
2023-09-25 11:43:51	ga_s2bm_ard_3-2-1_50KRA_2023-09-25_final.stac-item
2023-09-25 11:43:54	ga_s2bm_ard_3-2-1_50KQA_2023-09-25_final.stac-item
2023-09-25 11:44:05	ga_s2bm_ard_3-2-1_50KRV_2023-09-25_final.stac-item
2023-09-25 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2023-09-25_final.stac-item
2023-09-25 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-09-25_final.stac-item
2023-09-25 11:44:34	ga_s2bm_ard_3-2-1_51JTN_2023-09-25_final.stac-item
2023-09-25 11:44:48	ga_s2bm_ard_3-2-1_51JTM_2023-09-25_final.stac-item
2023-09-25 11:44:52	ga_s2bm_ard_3-2-1_50JQS_2023-09-25_final.stac-item
2023-09-25 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-09-25_final.stac-item
2023-09-25 11:45:10	ga_s2bm_ard_3-2-1_50JPR_2023-09-25_final.stac-item
2023-09-25 11:45:21	ga_s2bm_ard_3-2-1_50JQQ_2023-09-25_final.stac-item
2023-09-25 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2023-09-25_final.stac-item
2023-09-25 11:45:32	ga_s2bm_ard_3-2-1_51JTJ_2023-09-25_final.stac-item
2023-09-25 11:45:43	ga_s2bm_ard_3-2-1_50JNP_2023-09-25_final.stac-item
2023-09-25 11:45:47	ga_s2bm_ard_3-2-1_51JTH_2023-09-25_final.stac-item
2023-09-25 11:45:57	ga_s2bm_ard_3-2-1_50JNN_2023-09-25_final.stac-item
2023-09-25 11:46:04	ga_s2bm_ard_3-2-1_50JQM_2023-09-25_final.stac-item
2023-09-25 11:46:19	ga_s2bm_ard_3-2-1_50JQL_2023-09-25_final.stac-item
2023-09-25 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-09-25_final.stac-item
2023-09-25 11:46:29	ga_s2bm_ard_3-2-1_50JML_2023-09-25_final.stac-item
2023-09-25 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-09-25_final.stac-item
2023-09-25 11:46:46	ga_s2bm_ard_3-2-1_50HQJ_2023-09-25_final.stac-item
2023-09-25 11:46:51	ga_s2bm_ard_3-2-1_50HPJ_2023-09-25_final.stac-item
2023-09-25 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2023-09-25_final.stac-item
2023-09-25 11:46:59	ga_s2bm_ard_3-2-1_50HMJ_2023-09-25_final.stac-item
2023-09-25 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-09-25_final.stac-item
2023-09-25 11:47:17	ga_s2bm_ard_3-2-1_50HLH_2023-09-25_final.stac-item
2023-10-04 12:10:28	ga_s2bm_ard_3-2-1_50LNP_2023-10-04_nrt.stac-item
2023-10-04 12:13:29	ga_s2bm_ard_3-2-1_49KHT_2023-10-04_nrt.stac-item
2023-10-04 12:13:31	ga_s2bm_ard_3-2-1_49KGT_2023-10-04_nrt.stac-item
2023-10-04 12:13:44	ga_s2bm_ard_3-2-1_49KGS_2023-10-04_nrt.stac-item
2023-10-04 12:13:48	ga_s2bm_ard_3-2-1_49KFS_2023-10-04_nrt.stac-item
2023-10-04 12:14:02	ga_s2bm_ard_3-2-1_49KFR_2023-10-04_nrt.stac-item
2023-10-04 12:14:17	ga_s2bm_ard_3-2-1_49KFQ_2023-10-04_nrt.stac-item
2023-10-04 12:14:31	ga_s2bm_ard_3-2-1_49KFP_2023-10-04_nrt.stac-item
2023-10-04 12:15:14	ga_s2bm_ard_3-2-1_49JFL_2023-10-04_nrt.stac-item
2023-10-05 11:40:35	ga_s2bm_ard_3-2-1_51LUJ_2023-10-05_nrt.stac-item
2023-10-05 11:40:43	ga_s2bm_ard_3-2-1_51LWH_2023-10-05_nrt.stac-item
2023-10-05 11:40:49	ga_s2bm_ard_3-2-1_51LUH_2023-10-05_nrt.stac-item
2023-10-05 11:41:04	ga_s2bm_ard_3-2-1_51LUG_2023-10-05_nrt.stac-item
2023-10-05 11:41:50	ga_s2bm_ard_3-2-1_51LTD_2023-10-05_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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