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
2023-08-19 11:54:31	ga_s2bm_ard_3-2-1_50KMU_2023-08-19_final.stac-item
2023-08-20 09:41:37	ga_s2bm_ard_3-2-1_55KHB_2023-08-20_final.stac-item
2023-08-20 09:43:32	ga_s2bm_ard_3-2-1_55KHP_2023-08-20_final.stac-item
2023-08-20 09:44:08	ga_s2bm_ard_3-2-1_55JFM_2023-08-20_final.stac-item
2023-08-20 09:44:19	ga_s2bm_ard_3-2-1_55JGL_2023-08-20_final.stac-item
2023-08-20 09:44:22	ga_s2bm_ard_3-2-1_55JFL_2023-08-20_final.stac-item
2023-08-20 09:44:30	ga_s2bm_ard_3-2-1_55JEL_2023-08-20_final.stac-item
2023-08-20 09:44:33	ga_s2bm_ard_3-2-1_55JGK_2023-08-20_final.stac-item
2023-08-20 09:44:47	ga_s2bm_ard_3-2-1_55JGJ_2023-08-20_final.stac-item
2023-08-20 09:45:31	ga_s2bm_ard_3-2-1_55JDG_2023-08-20_final.stac-item
2023-08-20 09:45:38	ga_s2bm_ard_3-2-1_55JEF_2023-08-20_final.stac-item
2023-08-20 09:45:45	ga_s2bm_ard_3-2-1_55HGE_2023-08-20_final.stac-item
2023-08-20 09:45:53	ga_s2bm_ard_3-2-1_55HEE_2023-08-20_final.stac-item
2023-08-20 09:46:00	ga_s2bm_ard_3-2-1_55HGD_2023-08-20_final.stac-item
2023-08-20 09:46:07	ga_s2bm_ard_3-2-1_55HED_2023-08-20_final.stac-item
2023-08-20 09:46:13	ga_s2bm_ard_3-2-1_55HED_2023-08-20_final.stac-item
2023-08-20 09:46:32	ga_s2bm_ard_3-2-1_55HFB_2023-08-20_final.stac-item
2023-08-20 09:46:33	ga_s2bm_ard_3-2-1_55HCC_2023-08-20_final.stac-item
2023-08-20 09:46:47	ga_s2bm_ard_3-2-1_55HFA_2023-08-20_final.stac-item
2023-08-20 09:47:01	ga_s2bm_ard_3-2-1_55HFV_2023-08-20_final.stac-item
2023-08-20 09:47:27	ga_s2bm_ard_3-2-1_55HCU_2023-08-20_final.stac-item
2023-08-20 09:47:38	ga_s2bm_ard_3-2-1_55HDT_2023-08-20_final.stac-item
2023-08-20 09:47:41	ga_s2bm_ard_3-2-1_55HCT_2023-08-20_final.stac-item
2023-08-20 09:47:52	ga_s2bm_ard_3-2-1_55HDS_2023-08-20_final.stac-item
2023-08-20 09:48:00	ga_s2bm_ard_3-2-1_54HYB_2023-08-20_final.stac-item
2023-08-20 09:48:07	ga_s2bm_ard_3-2-1_55GDR_2023-08-20_final.stac-item
2023-08-20 09:48:16	ga_s2bm_ard_3-2-1_55GEQ_2023-08-20_final.stac-item
2023-08-20 09:48:21	ga_s2bm_ard_3-2-1_55GDQ_2023-08-20_final.stac-item
2023-08-20 09:48:54	ga_s2bm_ard_3-2-1_55GCN_2023-08-20_final.stac-item
2023-08-20 09:49:04	ga_s2bm_ard_3-2-1_55GCM_2023-08-20_final.stac-item
2023-08-20 11:21:03	ga_s2bm_ard_3-2-1_52LEL_2023-08-20_final.stac-item
2023-08-20 11:21:30	ga_s2bm_ard_3-2-1_51LZE_2023-08-20_final.stac-item
2023-08-20 11:21:40	ga_s2bm_ard_3-2-1_52LCJ_2023-08-20_final.stac-item
2023-08-20 11:21:45	ga_s2bm_ard_3-2-1_51LZD_2023-08-20_final.stac-item
2023-08-20 11:21:55	ga_s2bm_ard_3-2-1_52LCH_2023-08-20_final.stac-item
2023-08-20 11:22:14	ga_s2bm_ard_3-2-1_51KZB_2023-08-20_final.stac-item
2023-08-20 11:22:43	ga_s2bm_ard_3-2-1_51KZV_2023-08-20_final.stac-item
2023-08-20 11:22:53	ga_s2bm_ard_3-2-1_52KCD_2023-08-20_final.stac-item
2023-08-20 11:22:56	ga_s2bm_ard_3-2-1_52KBD_2023-08-20_final.stac-item
2023-08-20 11:23:05	ga_s2bm_ard_3-2-1_51KXU_2023-08-20_final.stac-item
2023-08-20 11:23:08	ga_s2bm_ard_3-2-1_52KCC_2023-08-20_final.stac-item
2023-08-20 11:23:11	ga_s2bm_ard_3-2-1_52KBC_2023-08-20_final.stac-item
2023-08-20 11:23:18	ga_s2bm_ard_3-2-1_51KXT_2023-08-20_final.stac-item
2023-08-20 11:23:30	ga_s2bm_ard_3-2-1_51KYS_2023-08-20_final.stac-item
2023-08-20 11:23:44	ga_s2bm_ard_3-2-1_51KYR_2023-08-20_final.stac-item
2023-08-20 11:23:59	ga_s2bm_ard_3-2-1_51KYQ_2023-08-20_final.stac-item
2023-08-20 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2023-08-20_final.stac-item
2023-08-20 11:24:31	ga_s2bm_ard_3-2-1_51JXN_2023-08-20_final.stac-item
2023-08-20 11:24:34	ga_s2bm_ard_3-2-1_51JWN_2023-08-20_final.stac-item
2023-08-20 11:24:40	ga_s2bm_ard_3-2-1_51JYM_2023-08-20_final.stac-item
2023-08-20 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2023-08-20_final.stac-item
2023-08-20 11:24:46	ga_s2bm_ard_3-2-1_51JYL_2023-08-20_final.stac-item
2023-08-20 11:24:47	ga_s2bm_ard_3-2-1_51JYM_2023-08-20_final.stac-item
2023-08-20 11:24:49	ga_s2bm_ard_3-2-1_51JXM_2023-08-20_final.stac-item
2023-08-20 11:24:56	ga_s2bm_ard_3-2-1_51JYL_2023-08-20_final.stac-item
2023-08-20 11:25:08	ga_s2bm_ard_3-2-1_51JVL_2023-08-20_final.stac-item
2023-08-20 11:25:18	ga_s2bm_ard_3-2-1_51JWK_2023-08-20_final.stac-item
2023-08-20 11:25:21	ga_s2bm_ard_3-2-1_51JVK_2023-08-20_final.stac-item
2023-08-20 11:25:33	ga_s2bm_ard_3-2-1_51JWJ_2023-08-20_final.stac-item
2023-08-20 11:25:36	ga_s2bm_ard_3-2-1_51JVJ_2023-08-20_final.stac-item
2023-08-20 11:25:58	ga_s2bm_ard_3-2-1_51JXG_2023-08-20_final.stac-item
2023-08-20 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2023-08-20_final.stac-item
2023-08-20 11:26:20	ga_s2bm_ard_3-2-1_51JVF_2023-08-20_final.stac-item
2023-08-20 11:26:31	ga_s2bm_ard_3-2-1_51HWE_2023-08-20_final.stac-item
2023-08-20 11:26:34	ga_s2bm_ard_3-2-1_51HVE_2023-08-20_final.stac-item
2023-08-20 11:26:45	ga_s2bm_ard_3-2-1_51HWD_2023-08-20_final.stac-item
2023-08-20 11:26:49	ga_s2bm_ard_3-2-1_51HVD_2023-08-20_final.stac-item
2023-08-20 11:26:52	ga_s2bm_ard_3-2-1_51HUD_2023-08-20_final.stac-item
2023-08-20 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2023-08-20_final.stac-item
2023-08-20 11:27:07	ga_s2bm_ard_3-2-1_51HUC_2023-08-20_final.stac-item
2023-08-20 11:27:12	ga_s2bm_ard_3-2-1_51HWB_2023-08-20_final.stac-item
2023-08-20 11:27:16	ga_s2bm_ard_3-2-1_51HUB_2023-08-20_final.stac-item
2023-08-29 11:50:28	ga_s2bm_ard_3-2-1_51LVJ_2023-08-29_nrt.stac-item
2023-08-29 11:50:38	ga_s2bm_ard_3-2-1_51LTJ_2023-08-29_nrt.stac-item
2023-08-29 11:50:39	ga_s2bm_ard_3-2-1_50LRP_2023-08-29_nrt.stac-item
2023-08-29 11:50:52	ga_s2bm_ard_3-2-1_51LTH_2023-08-29_nrt.stac-item
2023-08-29 11:50:54	ga_s2bm_ard_3-2-1_50LRN_2023-08-29_nrt.stac-item
2023-08-29 11:50:57	ga_s2bm_ard_3-2-1_50LQN_2023-08-29_nrt.stac-item
2023-08-29 11:51:07	ga_s2bm_ard_3-2-1_51LTG_2023-08-29_nrt.stac-item
2023-08-29 11:51:08	ga_s2bm_ard_3-2-1_50LRM_2023-08-29_nrt.stac-item
2023-08-29 11:51:23	ga_s2bm_ard_3-2-1_50LRL_2023-08-29_nrt.stac-item
2023-08-29 11:51:36	ga_s2bm_ard_3-2-1_51LTE_2023-08-29_nrt.stac-item
2023-08-29 11:51:37	ga_s2bm_ard_3-2-1_50LRK_2023-08-29_nrt.stac-item
2023-08-29 11:51:50	ga_s2bm_ard_3-2-1_51LTD_2023-08-29_nrt.stac-item
2023-08-29 11:51:52	ga_s2bm_ard_3-2-1_50LRJ_2023-08-29_nrt.stac-item
2023-08-29 11:52:05	ga_s2bm_ard_3-2-1_51LTC_2023-08-29_nrt.stac-item
2023-08-29 11:52:06	ga_s2bm_ard_3-2-1_50LRH_2023-08-29_nrt.stac-item
2023-08-29 11:52:35	ga_s2bm_ard_3-2-1_50KRF_2023-08-29_nrt.stac-item
2023-08-29 11:52:49	ga_s2bm_ard_3-2-1_50KRE_2023-08-29_nrt.stac-item
2023-08-29 11:56:33	ga_s2bm_ard_3-2-1_50JKL_2023-08-29_nrt.stac-item
2023-08-29 11:56:48	ga_s2bm_ard_3-2-1_50HKK_2023-08-29_nrt.stac-item
2023-08-29 11:57:02	ga_s2bm_ard_3-2-1_50HKJ_2023-08-29_nrt.stac-item
2023-08-29 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-08-29_nrt.stac-item
2023-08-29 11:57:18	ga_s2bm_ard_3-2-1_50HKH_2023-08-29_nrt.stac-item
2023-08-29 11:57:20	ga_s2bm_ard_3-2-1_49HGC_2023-08-29_nrt.stac-item
2023-08-29 11:57:27	ga_s2bm_ard_3-2-1_49HFC_2023-08-29_nrt.stac-item
2023-08-29 11:57:28	ga_s2bm_ard_3-2-1_50HKG_2023-08-29_nrt.stac-item
2023-08-29 11:57:29	ga_s2bm_ard_3-2-1_49HGB_2023-08-29_nrt.stac-item
2023-08-29 11:57:31	ga_s2bm_ard_3-2-1_49HFB_2023-08-29_nrt.stac-item
2023-08-30 11:21:02	ga_s2bm_ard_3-2-1_51LZG_2023-08-30_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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