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
2022-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-28_final.stac-item
2022-11-28 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2022-11-28_final.stac-item
2022-11-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-28_final.stac-item
2022-11-28 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-11-28_final.stac-item
2022-11-28 12:15:19	ga_s2bm_ard_3-2-1_49JGK_2022-11-28_final.stac-item
2022-11-29 08:24:19	ga_s2bm_ard_3-2-1_59JKJ_2022-11-28_interim.stac-item
2022-11-29 08:24:20	ga_s2bm_ard_3-2-1_58JGP_2022-11-28_interim.stac-item
2022-11-29 08:24:26	ga_s2bm_ard_3-2-1_59JKH_2022-11-28_final.stac-item
2022-11-29 08:24:27	ga_s2bm_ard_3-2-1_58JGN_2022-11-28_final.stac-item
2022-11-29 10:02:35	ga_s2bm_ard_3-2-1_55KCT_2022-11-29_final.stac-item
2022-11-29 10:02:50	ga_s2bm_ard_3-2-1_55KCS_2022-11-29_final.stac-item
2022-11-29 10:03:31	ga_s2bm_ard_3-2-1_54KYV_2022-11-29_final.stac-item
2022-11-29 10:03:37	ga_s2bm_ard_3-2-1_55KBP_2022-11-29_final.stac-item
2022-11-29 10:03:37	ga_s2bm_ard_3-2-1_54KZU_2022-11-29_final.stac-item
2022-11-29 10:04:12	ga_s2bm_ard_3-2-1_55JDL_2022-11-29_final.stac-item
2022-11-29 10:04:17	ga_s2bm_ard_3-2-1_55JCL_2022-11-29_final.stac-item
2022-11-29 10:04:21	ga_s2bm_ard_3-2-1_55JBL_2022-11-29_final.stac-item
2022-11-29 10:04:22	ga_s2bm_ard_3-2-1_55JDK_2022-11-29_final.stac-item
2022-11-29 10:04:24	ga_s2bm_ard_3-2-1_54JYR_2022-11-29_final.stac-item
2022-11-29 10:04:30	ga_s2bm_ard_3-2-1_55JCK_2022-11-29_final.stac-item
2022-11-29 10:04:31	ga_s2bm_ard_3-2-1_54JXR_2022-11-29_final.stac-item
2022-11-29 10:04:32	ga_s2bm_ard_3-2-1_55JBK_2022-11-29_final.stac-item
2022-11-29 10:04:33	ga_s2bm_ard_3-2-1_54JYQ_2022-11-29_final.stac-item
2022-11-29 10:04:35	ga_s2bm_ard_3-2-1_54JXQ_2022-11-29_final.stac-item
2022-11-29 10:04:37	ga_s2bm_ard_3-2-1_55JCK_2022-11-29_final.stac-item
2022-11-29 10:04:39	ga_s2bm_ard_3-2-1_55JBK_2022-11-29_final.stac-item
2022-11-29 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_2022-11-29_final.stac-item
2022-11-29 10:04:43	ga_s2bm_ard_3-2-1_54JXQ_2022-11-29_final.stac-item
2022-11-29 10:04:46	ga_s2bm_ard_3-2-1_55JCJ_2022-11-29_final.stac-item
2022-11-29 10:04:50	ga_s2bm_ard_3-2-1_55JBJ_2022-11-29_final.stac-item
2022-11-29 10:04:53	ga_s2bm_ard_3-2-1_54JYP_2022-11-29_final.stac-item
2022-11-29 10:04:56	ga_s2bm_ard_3-2-1_54JXP_2022-11-29_final.stac-item
2022-11-29 10:05:04	ga_s2bm_ard_3-2-1_55JBH_2022-11-29_final.stac-item
2022-11-29 10:05:07	ga_s2bm_ard_3-2-1_54JYN_2022-11-29_final.stac-item
2022-11-29 10:05:19	ga_s2bm_ard_3-2-1_55JBG_2022-11-29_final.stac-item
2022-11-29 10:05:22	ga_s2bm_ard_3-2-1_54JYM_2022-11-29_final.stac-item
2022-11-29 10:05:28	ga_s2bm_ard_3-2-1_55JCF_2022-11-29_final.stac-item
2022-11-29 10:05:32	ga_s2bm_ard_3-2-1_54JWM_2022-11-29_final.stac-item
2022-11-29 10:05:40	ga_s2bm_ard_3-2-1_54JXL_2022-11-29_final.stac-item
2022-11-29 10:05:43	ga_s2bm_ard_3-2-1_54JWL_2022-11-29_final.stac-item
2022-11-29 10:05:48	ga_s2bm_ard_3-2-1_55HBE_2022-11-29_final.stac-item
2022-11-29 10:05:51	ga_s2bm_ard_3-2-1_54HYK_2022-11-29_final.stac-item
2022-11-29 10:05:58	ga_s2bm_ard_3-2-1_54HWK_2022-11-29_final.stac-item
2022-11-29 10:06:03	ga_s2bm_ard_3-2-1_55HBD_2022-11-29_final.stac-item
2022-11-29 10:06:05	ga_s2bm_ard_3-2-1_54HYJ_2022-11-29_final.stac-item
2022-11-29 10:06:17	ga_s2bm_ard_3-2-1_55HBC_2022-11-29_final.stac-item
2022-11-29 10:06:19	ga_s2bm_ard_3-2-1_54HYH_2022-11-29_final.stac-item
2022-11-29 10:06:27	ga_s2bm_ard_3-2-1_54HWH_2022-11-29_final.stac-item
2022-11-29 10:06:32	ga_s2bm_ard_3-2-1_54HVH_2022-11-29_final.stac-item
2022-11-29 10:06:33	ga_s2bm_ard_3-2-1_54HYG_2022-11-29_final.stac-item
2022-11-29 10:06:38	ga_s2bm_ard_3-2-1_54HXG_2022-11-29_final.stac-item
2022-11-29 10:06:41	ga_s2bm_ard_3-2-1_54HWG_2022-11-29_final.stac-item
2022-11-29 10:06:44	ga_s2bm_ard_3-2-1_55HBA_2022-11-29_final.stac-item
2022-11-29 10:06:45	ga_s2bm_ard_3-2-1_54HVG_2022-11-29_final.stac-item
2022-11-29 10:06:48	ga_s2bm_ard_3-2-1_54HYF_2022-11-29_final.stac-item
2022-11-29 10:06:52	ga_s2bm_ard_3-2-1_54HXF_2022-11-29_final.stac-item
2022-11-29 10:06:54	ga_s2bm_ard_3-2-1_55HBV_2022-11-29_final.stac-item
2022-11-29 10:06:56	ga_s2bm_ard_3-2-1_54HWF_2022-11-29_final.stac-item
2022-11-29 10:06:59	ga_s2bm_ard_3-2-1_54HVF_2022-11-29_final.stac-item
2022-11-29 10:07:02	ga_s2bm_ard_3-2-1_54HYE_2022-11-29_final.stac-item
2022-11-29 10:07:13	ga_s2bm_ard_3-2-1_54HYD_2022-11-29_final.stac-item
2022-11-29 10:07:21	ga_s2bm_ard_3-2-1_54HXD_2022-11-29_final.stac-item
2022-11-29 10:07:25	ga_s2bm_ard_3-2-1_54HWD_2022-11-29_final.stac-item
2022-11-29 10:07:28	ga_s2bm_ard_3-2-1_54HVD_2022-11-29_final.stac-item
2022-11-29 10:07:33	ga_s2bm_ard_3-2-1_54HUD_2022-11-29_final.stac-item
2022-11-29 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2022-11-29_final.stac-item
2022-11-29 11:44:04	ga_s2bm_ard_3-2-1_50KQV_2022-11-29_final.stac-item
2022-11-29 11:44:15	ga_s2bm_ard_3-2-1_50KRU_2022-11-29_final.stac-item
2022-11-29 11:44:15	ga_s2bm_ard_3-2-1_51KTP_2022-11-29_final.stac-item
2022-11-29 11:44:22	ga_s2bm_ard_3-2-1_50KPU_2022-11-29_final.stac-item
2022-11-29 11:44:50	ga_s2bm_ard_3-2-1_51JUL_2022-11-29_final.stac-item
2022-11-29 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-11-29_final.stac-item
2022-11-29 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2022-11-29_final.stac-item
2022-11-29 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2022-11-29_final.stac-item
2022-11-29 11:45:10	ga_s2bm_ard_3-2-1_50JNR_2022-11-29_final.stac-item
2022-11-29 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2022-11-29_final.stac-item
2022-11-29 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-11-29_final.stac-item
2022-11-29 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2022-11-29_final.stac-item
2022-11-29 11:45:23	ga_s2bm_ard_3-2-1_50JNQ_2022-11-29_final.stac-item
2022-11-29 11:45:28	ga_s2bm_ard_3-2-1_51JTJ_2022-11-29_final.stac-item
2022-11-29 11:45:35	ga_s2bm_ard_3-2-1_50JPP_2022-11-29_final.stac-item
2022-11-29 11:45:42	ga_s2bm_ard_3-2-1_51JTH_2022-11-29_final.stac-item
2022-11-29 11:45:45	ga_s2bm_ard_3-2-1_50JQN_2022-11-29_final.stac-item
2022-11-29 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2022-11-29_final.stac-item
2022-11-29 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-11-29_final.stac-item
2022-11-29 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-11-29_final.stac-item
2022-11-29 11:46:07	ga_s2bm_ard_3-2-1_50JNM_2022-11-29_final.stac-item
2022-11-29 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-11-29_final.stac-item
2022-11-29 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-11-29_final.stac-item
2022-11-29 11:46:21	ga_s2bm_ard_3-2-1_50JNL_2022-11-29_final.stac-item
2022-11-29 11:46:25	ga_s2bm_ard_3-2-1_50JML_2022-11-29_final.stac-item
2022-11-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-11-29_final.stac-item
2022-11-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-29_final.stac-item
2022-11-29 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-11-29_final.stac-item
2022-11-29 11:46:42	ga_s2bm_ard_3-2-1_50HQJ_2022-11-29_final.stac-item
2022-11-29 11:47:05	ga_s2bm_ard_3-2-1_50HNH_2022-11-29_final.stac-item
2022-11-29 11:47:08	ga_s2bm_ard_3-2-1_50HMH_2022-11-29_final.stac-item
2022-11-29 11:47:16	ga_s2bm_ard_3-2-1_50HPG_2022-11-29_final.stac-item
2022-11-29 11:47:19	ga_s2bm_ard_3-2-1_50HNG_2022-11-29_final.stac-item
2022-11-29 11:47:23	ga_s2bm_ard_3-2-1_50HMG_2022-11-29_final.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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