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
2023-04-08 10:03:41	ga_s2bm_ard_3-2-1_54KZU_2023-04-08_final.stac-item
2023-04-08 10:04:13	ga_s2bm_ard_3-2-1_54JYS_2023-04-08_final.stac-item
2023-04-08 10:05:00	ga_s2bm_ard_3-2-1_54JXP_2023-04-08_final.stac-item
2023-04-08 10:05:11	ga_s2bm_ard_3-2-1_54JYN_2023-04-08_final.stac-item
2023-04-08 10:05:25	ga_s2bm_ard_3-2-1_54JYM_2023-04-08_final.stac-item
2023-04-08 10:05:37	ga_s2bm_ard_3-2-1_54JXL_2023-04-08_final.stac-item
2023-04-08 10:05:42	ga_s2bm_ard_3-2-1_54JYL_2023-04-08_final.stac-item
2023-04-08 10:05:58	ga_s2bm_ard_3-2-1_54HXK_2023-04-08_final.stac-item
2023-04-08 10:06:23	ga_s2bm_ard_3-2-1_54HYH_2023-04-08_final.stac-item
2023-04-08 10:06:48	ga_s2bm_ard_3-2-1_54HVG_2023-04-08_final.stac-item
2023-04-08 11:41:00	ga_s2bm_ard_3-2-1_51LWG_2023-04-08_final.stac-item
2023-04-08 11:41:17	ga_s2bm_ard_3-2-1_51LVF_2023-04-08_final.stac-item
2023-04-08 11:41:28	ga_s2bm_ard_3-2-1_51LWE_2023-04-08_final.stac-item
2023-04-08 11:41:32	ga_s2bm_ard_3-2-1_51LVE_2023-04-08_final.stac-item
2023-04-08 11:41:35	ga_s2bm_ard_3-2-1_51LUE_2023-04-08_final.stac-item
2023-04-08 11:42:04	ga_s2bm_ard_3-2-1_51LUC_2023-04-08_final.stac-item
2023-04-08 11:42:59	ga_s2bm_ard_3-2-1_51KVU_2023-04-08_final.stac-item
2023-04-08 11:43:06	ga_s2bm_ard_3-2-1_50KRD_2023-04-08_final.stac-item
2023-04-08 11:43:17	ga_s2bm_ard_3-2-1_51KUT_2023-04-08_final.stac-item
2023-04-08 11:43:20	ga_s2bm_ard_3-2-1_51KTT_2023-04-08_final.stac-item
2023-04-08 11:43:49	ga_s2bm_ard_3-2-1_51KTR_2023-04-08_final.stac-item
2023-04-08 11:44:08	ga_s2bm_ard_3-2-1_50KQV_2023-04-08_final.stac-item
2023-04-08 11:44:12	ga_s2bm_ard_3-2-1_50KPV_2023-04-08_final.stac-item
2023-04-08 11:44:15	ga_s2bm_ard_3-2-1_51KUP_2023-04-08_final.stac-item
2023-04-08 11:44:25	ga_s2bm_ard_3-2-1_50KPU_2023-04-08_final.stac-item
2023-04-08 11:44:33	ga_s2bm_ard_3-2-1_50JRT_2023-04-08_final.stac-item
2023-04-08 11:44:33	ga_s2bm_ard_3-2-1_51JTN_2023-04-08_final.stac-item
2023-04-08 11:45:14	ga_s2bm_ard_3-2-1_50JNR_2023-04-08_final.stac-item
2023-04-08 11:45:20	ga_s2bm_ard_3-2-1_50JQQ_2023-04-08_final.stac-item
2023-04-08 11:45:24	ga_s2bm_ard_3-2-1_50JPQ_2023-04-08_final.stac-item
2023-04-08 11:45:27	ga_s2bm_ard_3-2-1_50JNQ_2023-04-08_final.stac-item
2023-04-08 11:45:38	ga_s2bm_ard_3-2-1_50JPP_2023-04-08_final.stac-item
2023-04-08 11:45:42	ga_s2bm_ard_3-2-1_50JNP_2023-04-08_final.stac-item
2023-04-08 11:45:49	ga_s2bm_ard_3-2-1_50JQN_2023-04-08_final.stac-item
2023-04-08 11:45:56	ga_s2bm_ard_3-2-1_50JNN_2023-04-08_final.stac-item
2023-04-08 11:46:11	ga_s2bm_ard_3-2-1_50JNM_2023-04-08_final.stac-item
2023-04-08 11:46:15	ga_s2bm_ard_3-2-1_50JMM_2023-04-08_final.stac-item
2023-04-08 11:46:18	ga_s2bm_ard_3-2-1_50JQL_2023-04-08_final.stac-item
2023-04-08 11:46:22	ga_s2bm_ard_3-2-1_50JPL_2023-04-08_final.stac-item
2023-04-08 11:46:40	ga_s2bm_ard_3-2-1_50HNK_2023-04-08_final.stac-item
2023-04-08 11:46:56	ga_s2bm_ard_3-2-1_50HQH_2023-04-08_final.stac-item
2023-04-08 11:47:09	ga_s2bm_ard_3-2-1_50HNH_2023-04-08_final.stac-item
2023-04-08 11:47:23	ga_s2bm_ard_3-2-1_50HNG_2023-04-08_final.stac-item
2023-04-09 11:10:06	ga_s2bm_ard_3-2-1_53LKJ_2023-04-09_final.stac-item
2023-04-09 11:10:45	ga_s2bm_ard_3-2-1_52LGM_2023-04-09_final.stac-item
2023-04-09 11:11:00	ga_s2bm_ard_3-2-1_52LGL_2023-04-09_final.stac-item
2023-04-09 11:11:07	ga_s2bm_ard_3-2-1_52LEL_2023-04-09_final.stac-item
2023-04-09 11:11:18	ga_s2bm_ard_3-2-1_52LFK_2023-04-09_final.stac-item
2023-04-09 11:11:28	ga_s2bm_ard_3-2-1_52LFJ_2023-04-09_final.stac-item
2023-04-09 11:11:31	ga_s2bm_ard_3-2-1_52LDJ_2023-04-09_final.stac-item
2023-04-09 11:11:35	ga_s2bm_ard_3-2-1_52LFJ_2023-04-09_final.stac-item
2023-04-09 11:11:39	ga_s2bm_ard_3-2-1_52LDJ_2023-04-09_final.stac-item
2023-04-09 11:11:42	ga_s2bm_ard_3-2-1_52LGH_2023-04-09_final.stac-item
2023-04-09 11:11:50	ga_s2bm_ard_3-2-1_52LEH_2023-04-09_final.stac-item
2023-04-09 11:12:01	ga_s2bm_ard_3-2-1_52KFG_2023-04-09_final.stac-item
2023-04-09 11:12:08	ga_s2bm_ard_3-2-1_52KDG_2023-04-09_final.stac-item
2023-04-09 11:12:44	ga_s2bm_ard_3-2-1_52KFD_2023-04-09_final.stac-item
2023-04-09 11:12:55	ga_s2bm_ard_3-2-1_52KCD_2023-04-09_final.stac-item
2023-04-09 11:13:03	ga_s2bm_ard_3-2-1_52KEC_2023-04-09_final.stac-item
2023-04-09 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2023-04-09_final.stac-item
2023-04-09 11:13:17	ga_s2bm_ard_3-2-1_52KEB_2023-04-09_final.stac-item
2023-04-09 11:13:42	ga_s2bm_ard_3-2-1_51KZR_2023-04-09_final.stac-item
2023-04-09 11:13:56	ga_s2bm_ard_3-2-1_51KZQ_2023-04-09_final.stac-item
2023-04-09 11:13:59	ga_s2bm_ard_3-2-1_52KEU_2023-04-09_final.stac-item
2023-04-09 11:14:04	ga_s2bm_ard_3-2-1_52KDU_2023-04-09_final.stac-item
2023-04-09 11:14:08	ga_s2bm_ard_3-2-1_52KCU_2023-04-09_final.stac-item
2023-04-09 11:14:10	ga_s2bm_ard_3-2-1_52JET_2023-04-09_final.stac-item
2023-04-09 11:14:11	ga_s2bm_ard_3-2-1_52KBU_2023-04-09_final.stac-item
2023-04-09 11:14:22	ga_s2bm_ard_3-2-1_52JCT_2023-04-09_final.stac-item
2023-04-09 11:14:31	ga_s2bm_ard_3-2-1_51JYN_2023-04-09_final.stac-item
2023-04-09 11:14:37	ga_s2bm_ard_3-2-1_52JCS_2023-04-09_final.stac-item
2023-04-09 11:14:40	ga_s2bm_ard_3-2-1_51JZM_2023-04-09_final.stac-item
2023-04-09 11:14:40	ga_s2bm_ard_3-2-1_52JBS_2023-04-09_final.stac-item
2023-04-09 11:14:48	ga_s2bm_ard_3-2-1_52JDR_2023-04-09_final.stac-item
2023-04-09 11:14:52	ga_s2bm_ard_3-2-1_52JCR_2023-04-09_final.stac-item
2023-04-09 11:15:12	ga_s2bm_ard_3-2-1_51JYK_2023-04-09_final.stac-item
2023-04-09 11:15:27	ga_s2bm_ard_3-2-1_51JYJ_2023-04-09_final.stac-item
2023-04-09 11:15:35	ga_s2bm_ard_3-2-1_52JCN_2023-04-09_final.stac-item
2023-04-09 11:15:45	ga_s2bm_ard_3-2-1_51JXH_2023-04-09_final.stac-item
2023-04-09 11:15:50	ga_s2bm_ard_3-2-1_52JCM_2023-04-09_final.stac-item
2023-04-09 11:16:08	ga_s2bm_ard_3-2-1_52JBL_2023-04-09_final.stac-item
2023-04-09 11:16:10	ga_s2bm_ard_3-2-1_51JYF_2023-04-09_final.stac-item
2023-04-09 11:16:22	ga_s2bm_ard_3-2-1_51JWF_2023-04-09_final.stac-item
2023-04-09 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2023-04-09_final.stac-item
2023-04-09 11:16:28	ga_s2bm_ard_3-2-1_51HXE_2023-04-09_final.stac-item
2023-04-09 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2023-04-09_final.stac-item
2023-04-09 11:16:57	ga_s2bm_ard_3-2-1_51HXC_2023-04-09_final.stac-item
2023-04-09 11:17:01	ga_s2bm_ard_3-2-1_51HWC_2023-04-09_final.stac-item
2023-04-09 11:17:07	ga_s2bm_ard_3-2-1_51HXB_2023-04-09_final.stac-item
2023-04-19 11:10:20	ga_s2bm_ard_3-2-1_52LFP_2023-04-19_nrt.stac-item
2023-04-19 11:10:59	ga_s2bm_ard_3-2-1_52LDM_2023-04-19_nrt.stac-item
2023-04-19 11:11:10	ga_s2bm_ard_3-2-1_52LDL_2023-04-19_nrt.stac-item
2023-04-19 11:11:24	ga_s2bm_ard_3-2-1_52LDK_2023-04-19_nrt.stac-item
2023-04-19 11:16:36	ga_s2bm_ard_3-2-1_52HBJ_2023-04-19_nrt.stac-item
2023-04-19 11:16:51	ga_s2bm_ard_3-2-1_52HBH_2023-04-19_nrt.stac-item
2023-04-19 11:16:53	ga_s2bm_ard_3-2-1_51HYC_2023-04-19_nrt.stac-item
2023-04-19 11:17:04	ga_s2bm_ard_3-2-1_52HBG_2023-04-19_nrt.stac-item
2023-04-19 11:17:05	ga_s2bm_ard_3-2-1_51HYB_2023-04-19_nrt.stac-item
2023-04-20 10:40:24	ga_s2bm_ard_3-2-1_53LQH_2023-04-20_nrt.stac-item
2023-04-20 10:40:47	ga_s2bm_ard_3-2-1_54LUL_2023-04-20_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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