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
2022-11-25 12:03:51	ga_s2bm_ard_3-2-1_50KMA_2022-11-25_final.stac-item
2022-11-25 12:03:55	ga_s2bm_ard_3-2-1_50KLA_2022-11-25_final.stac-item
2022-11-25 12:03:58	ga_s2bm_ard_3-2-1_49KHR_2022-11-25_final.stac-item
2022-11-25 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2022-11-25_final.stac-item
2022-11-25 12:04:27	ga_s2bm_ard_3-2-1_50KKU_2022-11-25_final.stac-item
2022-11-25 12:04:35	ga_s2bm_ard_3-2-1_50JMT_2022-11-25_final.stac-item
2022-11-25 12:04:42	ga_s2bm_ard_3-2-1_49JHN_2022-11-25_final.stac-item
2022-11-25 12:04:42	ga_s2bm_ard_3-2-1_50JKT_2022-11-25_final.stac-item
2022-11-25 12:04:45	ga_s2bm_ard_3-2-1_49JGN_2022-11-25_final.stac-item
2022-11-25 12:04:48	ga_s2bm_ard_3-2-1_50JMS_2022-11-25_final.stac-item
2022-11-25 12:04:53	ga_s2bm_ard_3-2-1_50JLS_2022-11-25_final.stac-item
2022-11-25 12:04:56	ga_s2bm_ard_3-2-1_49JHM_2022-11-25_final.stac-item
2022-11-25 12:05:08	ga_s2bm_ard_3-2-1_49JFM_2022-11-25_final.stac-item
2022-11-25 12:05:11	ga_s2bm_ard_3-2-1_50JKR_2022-11-25_final.stac-item
2022-11-25 12:05:14	ga_s2bm_ard_3-2-1_49JGL_2022-11-25_final.stac-item
2022-11-25 12:05:29	ga_s2bm_ard_3-2-1_49JGK_2022-11-25_final.stac-item
2022-11-25 12:05:40	ga_s2bm_ard_3-2-1_50JKP_2022-11-25_final.stac-item
2022-11-25 12:05:43	ga_s2bm_ard_3-2-1_49JGJ_2022-11-25_final.stac-item
2022-11-25 12:05:57	ga_s2bm_ard_3-2-1_49JGH_2022-11-25_final.stac-item
2022-11-25 12:06:03	ga_s2bm_ard_3-2-1_50JLM_2022-11-25_final.stac-item
2022-11-25 12:06:09	ga_s2bm_ard_3-2-1_50JKM_2022-11-25_final.stac-item
2022-11-25 12:06:13	ga_s2bm_ard_3-2-1_50JLL_2022-11-25_final.stac-item
2022-11-26 09:51:18	ga_s2bm_ard_3-2-1_55LFC_2022-11-26_final.stac-item
2022-11-26 09:51:24	ga_s2bm_ard_3-2-1_56KKG_2022-11-26_final.stac-item
2022-11-26 09:51:25	ga_s2bm_ard_3-2-1_55KHB_2022-11-26_final.stac-item
2022-11-26 09:51:29	ga_s2bm_ard_3-2-1_55KGB_2022-11-26_final.stac-item
2022-11-26 09:51:39	ga_s2bm_ard_3-2-1_56KKF_2022-11-26_final.stac-item
2022-11-26 09:52:13	ga_s2bm_ard_3-2-1_55KGU_2022-11-26_final.stac-item
2022-11-26 09:52:27	ga_s2bm_ard_3-2-1_55KGT_2022-11-26_final.stac-item
2022-11-26 09:52:34	ga_s2bm_ard_3-2-1_55KET_2022-11-26_final.stac-item
2022-11-26 09:52:45	ga_s2bm_ard_3-2-1_55KFS_2022-11-26_final.stac-item
2022-11-26 09:53:03	ga_s2bm_ard_3-2-1_55KER_2022-11-26_final.stac-item
2022-11-26 09:53:06	ga_s2bm_ard_3-2-1_55KDR_2022-11-26_final.stac-item
2022-11-26 09:53:37	ga_s2bm_ard_3-2-1_55JGN_2022-11-26_final.stac-item
2022-11-26 09:53:43	ga_s2bm_ard_3-2-1_55JFN_2022-11-26_final.stac-item
2022-11-26 09:53:47	ga_s2bm_ard_3-2-1_55JEN_2022-11-26_final.stac-item
2022-11-26 09:53:50	ga_s2bm_ard_3-2-1_55JDN_2022-11-26_final.stac-item
2022-11-26 09:53:57	ga_s2bm_ard_3-2-1_55JCN_2022-11-26_final.stac-item
2022-11-26 09:53:57	ga_s2bm_ard_3-2-1_55JFM_2022-11-26_final.stac-item
2022-11-26 09:54:01	ga_s2bm_ard_3-2-1_55JEM_2022-11-26_final.stac-item
2022-11-26 09:54:04	ga_s2bm_ard_3-2-1_55JDM_2022-11-26_final.stac-item
2022-11-26 09:54:08	ga_s2bm_ard_3-2-1_55JCM_2022-11-26_final.stac-item
2022-11-26 09:54:59	ga_s2bm_ard_3-2-1_55JEH_2022-11-26_final.stac-item
2022-11-26 09:55:03	ga_s2bm_ard_3-2-1_55JDH_2022-11-26_final.stac-item
2022-11-26 09:55:23	ga_s2bm_ard_3-2-1_55JBG_2022-11-26_final.stac-item
2022-11-26 09:55:47	ga_s2bm_ard_3-2-1_55HBE_2022-11-26_final.stac-item
2022-11-26 09:55:48	ga_s2bm_ard_3-2-1_54HYK_2022-11-26_final.stac-item
2022-11-26 09:56:33	ga_s2bm_ard_3-2-1_55HCB_2022-11-26_final.stac-item
2022-11-26 09:57:46	ga_s2bm_ard_3-2-1_55HCS_2022-11-26_final.stac-item
2022-11-26 09:57:49	ga_s2bm_ard_3-2-1_55HBS_2022-11-26_final.stac-item
2022-11-26 09:57:50	ga_s2bm_ard_3-2-1_54HYB_2022-11-26_final.stac-item
2022-11-26 11:31:17	ga_s2bm_ard_3-2-1_52LBK_2022-11-26_final.stac-item
2022-11-26 11:31:23	ga_s2bm_ard_3-2-1_51LYE_2022-11-26_final.stac-item
2022-11-26 11:31:28	ga_s2bm_ard_3-2-1_52LBJ_2022-11-26_final.stac-item
2022-11-26 11:31:48	ga_s2bm_ard_3-2-1_51LZC_2022-11-26_final.stac-item
2022-11-26 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2022-11-26_final.stac-item
2022-11-26 11:31:58	ga_s2bm_ard_3-2-1_51KYB_2022-11-26_final.stac-item
2022-11-26 11:31:58	ga_s2bm_ard_3-2-1_51LYC_2022-11-26_final.stac-item
2022-11-26 11:31:58	ga_s2bm_ard_3-2-1_51KZB_2022-11-26_final.stac-item
2022-11-26 11:32:07	ga_s2bm_ard_3-2-1_51KYB_2022-11-26_final.stac-item
2022-11-26 11:32:21	ga_s2bm_ard_3-2-1_51KYA_2022-11-26_final.stac-item
2022-11-26 11:32:36	ga_s2bm_ard_3-2-1_51KYV_2022-11-26_final.stac-item
2022-11-26 11:32:39	ga_s2bm_ard_3-2-1_51KXV_2022-11-26_final.stac-item
2022-11-26 11:32:50	ga_s2bm_ard_3-2-1_51KYU_2022-11-26_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KYT_2022-11-26_final.stac-item
2022-11-26 11:33:08	ga_s2bm_ard_3-2-1_51KXT_2022-11-26_final.stac-item
2022-11-26 11:33:12	ga_s2bm_ard_3-2-1_51KWT_2022-11-26_final.stac-item
2022-11-26 11:33:15	ga_s2bm_ard_3-2-1_51KVT_2022-11-26_final.stac-item
2022-11-26 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2022-11-26_final.stac-item
2022-11-26 11:33:23	ga_s2bm_ard_3-2-1_51KXS_2022-11-26_final.stac-item
2022-11-26 11:33:26	ga_s2bm_ard_3-2-1_51KWS_2022-11-26_final.stac-item
2022-11-26 11:33:33	ga_s2bm_ard_3-2-1_51KUS_2022-11-26_final.stac-item
2022-11-26 11:33:37	ga_s2bm_ard_3-2-1_51KXR_2022-11-26_final.stac-item
2022-11-26 11:33:41	ga_s2bm_ard_3-2-1_51KWR_2022-11-26_final.stac-item
2022-11-26 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2022-11-26_final.stac-item
2022-11-26 11:33:47	ga_s2bm_ard_3-2-1_51KUR_2022-11-26_final.stac-item
2022-11-26 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2022-11-26_final.stac-item
2022-11-26 11:34:24	ga_s2bm_ard_3-2-1_51JWN_2022-11-26_final.stac-item
2022-11-26 11:34:28	ga_s2bm_ard_3-2-1_51JVN_2022-11-26_final.stac-item
2022-11-26 11:34:35	ga_s2bm_ard_3-2-1_51JTN_2022-11-26_final.stac-item
2022-11-26 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-11-26_final.stac-item
2022-11-26 11:34:46	ga_s2bm_ard_3-2-1_51JUM_2022-11-26_final.stac-item
2022-11-26 11:34:48	ga_s2bm_ard_3-2-1_50JRS_2022-11-26_final.stac-item
2022-11-26 11:35:03	ga_s2bm_ard_3-2-1_51JTL_2022-11-26_final.stac-item
2022-11-26 11:35:07	ga_s2bm_ard_3-2-1_51JWK_2022-11-26_final.stac-item
2022-11-26 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2022-11-26_final.stac-item
2022-11-26 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2022-11-26_final.stac-item
2022-11-26 11:35:18	ga_s2bm_ard_3-2-1_51JWJ_2022-11-26_final.stac-item
2022-11-26 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2022-11-26_final.stac-item
2022-11-26 11:35:33	ga_s2bm_ard_3-2-1_51JTJ_2022-11-26_final.stac-item
2022-11-26 11:35:36	ga_s2bm_ard_3-2-1_50JQP_2022-11-26_final.stac-item
2022-11-26 11:35:40	ga_s2bm_ard_3-2-1_51JVH_2022-11-26_final.stac-item
2022-11-26 11:35:50	ga_s2bm_ard_3-2-1_50JQN_2022-11-26_final.stac-item
2022-11-26 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2022-11-26_final.stac-item
2022-11-26 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2022-11-26_final.stac-item
2022-11-26 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2022-11-26_final.stac-item
2022-11-26 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2022-11-26_final.stac-item
2022-11-26 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-11-26_final.stac-item
2022-11-26 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2022-11-26_final.stac-item
2022-11-26 11:37:11	ga_s2bm_ard_3-2-1_51HUB_2022-11-26_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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