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
2023-02-01 11:21:56	ga_s2bm_ard_3-2-1_51LYC_2023-02-01_final.stac-item
2023-02-01 11:22:24	ga_s2bm_ard_3-2-1_51KYA_2023-02-01_final.stac-item
2023-02-01 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2023-02-01_final.stac-item
2023-02-01 11:23:32	ga_s2bm_ard_3-2-1_51KZR_2023-02-01_final.stac-item
2023-02-01 11:23:40	ga_s2bm_ard_3-2-1_51KXR_2023-02-01_final.stac-item
2023-02-01 11:23:51	ga_s2bm_ard_3-2-1_51KYQ_2023-02-01_final.stac-item
2023-02-01 11:24:16	ga_s2bm_ard_3-2-1_51JZN_2023-02-01_final.stac-item
2023-02-01 11:24:48	ga_s2bm_ard_3-2-1_51JYL_2023-02-01_final.stac-item
2023-02-01 11:25:10	ga_s2bm_ard_3-2-1_51JWK_2023-02-01_final.stac-item
2023-02-01 11:25:42	ga_s2bm_ard_3-2-1_51JYG_2023-02-01_final.stac-item
2023-02-02 10:54:08	ga_s2bm_ard_3-2-1_52JHT_2023-02-02_final.stac-item
2023-02-02 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2023-02-02_final.stac-item
2023-02-02 10:54:23	ga_s2bm_ard_3-2-1_52JHS_2023-02-02_final.stac-item
2023-02-02 10:54:55	ga_s2bm_ard_3-2-1_52JGQ_2023-02-02_final.stac-item
2023-02-02 10:55:10	ga_s2bm_ard_3-2-1_52JGP_2023-02-02_final.stac-item
2023-02-02 10:55:14	ga_s2bm_ard_3-2-1_52JFP_2023-02-02_final.stac-item
2023-02-02 10:55:19	ga_s2bm_ard_3-2-1_52JEP_2023-02-02_final.stac-item
2023-02-02 10:55:26	ga_s2bm_ard_3-2-1_52JFN_2023-02-02_final.stac-item
2023-02-02 10:56:01	ga_s2bm_ard_3-2-1_52JEL_2023-02-02_final.stac-item
2023-02-05 11:04:04	ga_s2bm_ard_3-2-1_52KDU_2023-02-05_final.stac-item
2023-02-05 11:04:07	ga_s2bm_ard_3-2-1_52JGT_2023-02-05_final.stac-item
2023-02-05 11:04:09	ga_s2bm_ard_3-2-1_52JFT_2023-02-05_final.stac-item
2023-02-05 11:04:14	ga_s2bm_ard_3-2-1_52JGT_2023-02-05_final.stac-item
2023-02-05 11:04:16	ga_s2bm_ard_3-2-1_52JFT_2023-02-05_final.stac-item
2023-02-05 11:04:26	ga_s2bm_ard_3-2-1_52JFS_2023-02-05_final.stac-item
2023-02-05 11:04:44	ga_s2bm_ard_3-2-1_52JER_2023-02-05_final.stac-item
2023-02-05 11:04:59	ga_s2bm_ard_3-2-1_52JEQ_2023-02-05_final.stac-item
2023-02-05 11:05:02	ga_s2bm_ard_3-2-1_52JDQ_2023-02-05_final.stac-item
2023-02-05 11:05:10	ga_s2bm_ard_3-2-1_52JFP_2023-02-05_final.stac-item
2023-02-05 11:05:13	ga_s2bm_ard_3-2-1_52JEP_2023-02-05_final.stac-item
2023-02-05 11:05:17	ga_s2bm_ard_3-2-1_52JDP_2023-02-05_final.stac-item
2023-02-05 11:05:20	ga_s2bm_ard_3-2-1_52JCP_2023-02-05_final.stac-item
2023-02-05 11:06:04	ga_s2bm_ard_3-2-1_52JCL_2023-02-05_final.stac-item
2023-02-05 11:06:07	ga_s2bm_ard_3-2-1_52JBL_2023-02-05_final.stac-item
2023-02-05 11:06:34	ga_s2bm_ard_3-2-1_51HYD_2023-02-05_final.stac-item
2023-02-06 12:13:37	ga_s2bm_ard_3-2-1_50KKB_2023-02-06_final.stac-item
2023-02-06 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-02-06_final.stac-item
2023-02-06 12:14:05	ga_s2bm_ard_3-2-1_50KKV_2023-02-06_final.stac-item
2023-02-06 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-02-06_final.stac-item
2023-02-06 12:14:29	ga_s2bm_ard_3-2-1_49JHN_2023-02-06_final.stac-item
2023-02-06 12:15:18	ga_s2bm_ard_3-2-1_49JGK_2023-02-06_final.stac-item
2023-02-07 11:41:16	ga_s2bm_ard_3-2-1_51LUF_2023-02-07_final.stac-item
2023-02-07 11:41:24	ga_s2bm_ard_3-2-1_51LWE_2023-02-07_final.stac-item
2023-02-07 11:42:11	ga_s2bm_ard_3-2-1_51KVB_2023-02-07_final.stac-item
2023-02-07 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-02-07_final.stac-item
2023-02-07 11:42:40	ga_s2bm_ard_3-2-1_51KVV_2023-02-07_final.stac-item
2023-02-07 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2023-02-07_final.stac-item
2023-02-07 11:43:20	ga_s2bm_ard_3-2-1_50KQC_2023-02-07_final.stac-item
2023-02-07 11:43:27	ga_s2bm_ard_3-2-1_51KUS_2023-02-07_final.stac-item
2023-02-07 11:44:03	ga_s2bm_ard_3-2-1_50KQV_2023-02-07_final.stac-item
2023-02-07 11:44:11	ga_s2bm_ard_3-2-1_51KUP_2023-02-07_final.stac-item
2023-02-07 11:44:14	ga_s2bm_ard_3-2-1_51KTP_2023-02-07_final.stac-item
2023-02-07 11:44:18	ga_s2bm_ard_3-2-1_50KQU_2023-02-07_final.stac-item
2023-02-07 11:44:21	ga_s2bm_ard_3-2-1_50KPU_2023-02-07_final.stac-item
2023-02-07 11:44:29	ga_s2bm_ard_3-2-1_51JTN_2023-02-07_final.stac-item
2023-02-07 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2023-02-07_final.stac-item
2023-02-07 11:44:36	ga_s2bm_ard_3-2-1_50JPT_2023-02-07_final.stac-item
2023-02-07 11:44:43	ga_s2bm_ard_3-2-1_50JRS_2023-02-07_final.stac-item
2023-02-07 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2023-02-07_final.stac-item
2023-02-07 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2023-02-07_final.stac-item
2023-02-07 11:45:09	ga_s2bm_ard_3-2-1_50JNR_2023-02-07_final.stac-item
2023-02-07 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2023-02-07_final.stac-item
2023-02-07 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2023-02-07_final.stac-item
2023-02-07 11:45:27	ga_s2bm_ard_3-2-1_51JTJ_2023-02-07_final.stac-item
2023-02-07 11:45:34	ga_s2bm_ard_3-2-1_50JPP_2023-02-07_final.stac-item
2023-02-07 11:45:41	ga_s2bm_ard_3-2-1_51JTH_2023-02-07_final.stac-item
2023-02-07 11:46:03	ga_s2bm_ard_3-2-1_50JPM_2023-02-07_final.stac-item
2023-02-07 11:46:06	ga_s2bm_ard_3-2-1_50JNM_2023-02-07_final.stac-item
2023-02-07 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2023-02-07_final.stac-item
2023-02-07 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2023-02-07_final.stac-item
2023-02-07 11:46:46	ga_s2bm_ard_3-2-1_50HPJ_2023-02-07_final.stac-item
2023-02-07 11:47:00	ga_s2bm_ard_3-2-1_50HPH_2023-02-07_final.stac-item
2023-02-07 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-02-07_final.stac-item
2023-02-07 11:47:12	ga_s2bm_ard_3-2-1_50HLH_2023-02-07_final.stac-item
2023-02-08 11:12:04	ga_s2bm_ard_3-2-1_52KDG_2023-02-08_final.stac-item
2023-02-08 11:12:36	ga_s2bm_ard_3-2-1_52KCE_2023-02-08_final.stac-item
2023-02-08 11:12:59	ga_s2bm_ard_3-2-1_52KEC_2023-02-08_final.stac-item
2023-02-08 11:13:12	ga_s2bm_ard_3-2-1_52KBC_2023-02-08_final.stac-item
2023-02-08 11:13:17	ga_s2bm_ard_3-2-1_52KDB_2023-02-08_final.stac-item
2023-02-08 11:13:20	ga_s2bm_ard_3-2-1_52KCB_2023-02-08_final.stac-item
2023-02-08 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2023-02-08_final.stac-item
2023-02-08 11:13:35	ga_s2bm_ard_3-2-1_52KCA_2023-02-08_final.stac-item
2023-02-08 11:13:38	ga_s2bm_ard_3-2-1_51KZR_2023-02-08_final.stac-item
2023-02-08 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2023-02-08_final.stac-item
2023-02-08 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2023-02-08_final.stac-item
2023-02-08 11:14:15	ga_s2bm_ard_3-2-1_52JDT_2023-02-08_final.stac-item
2023-02-08 11:14:21	ga_s2bm_ard_3-2-1_51JZN_2023-02-08_final.stac-item
2023-02-08 11:15:02	ga_s2bm_ard_3-2-1_52JCQ_2023-02-08_final.stac-item
2023-02-08 11:15:10	ga_s2bm_ard_3-2-1_52JDP_2023-02-08_final.stac-item
2023-02-08 11:15:16	ga_s2bm_ard_3-2-1_52JCP_2023-02-08_final.stac-item
2023-02-08 11:15:28	ga_s2bm_ard_3-2-1_51JXJ_2023-02-08_final.stac-item
2023-02-08 11:15:37	ga_s2bm_ard_3-2-1_51JYH_2023-02-08_final.stac-item
2023-02-08 11:15:49	ga_s2bm_ard_3-2-1_52JBM_2023-02-08_final.stac-item
2023-02-08 11:15:52	ga_s2bm_ard_3-2-1_51JYG_2023-02-08_final.stac-item
2023-02-08 11:16:04	ga_s2bm_ard_3-2-1_52JBL_2023-02-08_final.stac-item
2023-02-08 11:16:10	ga_s2bm_ard_3-2-1_51JXF_2023-02-08_final.stac-item
2023-02-08 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2023-02-08_final.stac-item
2023-02-27 11:47:34	ga_s2bm_ard_3-2-1_50HMF_2023-02-27_nrt.stac-item
2023-02-28 11:16:35	ga_s2bm_ard_3-2-1_52HBJ_2023-02-28_nrt.stac-item
2023-02-28 11:16:50	ga_s2bm_ard_3-2-1_52HBH_2023-02-28_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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