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:

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First 100 results (query limit)

Time (local)	Label
2023-01-21 11:54:06	ga_s2bm_ard_3-2-1_50KNV_2023-01-21_final.stac-item
2023-01-21 11:54:09	ga_s2bm_ard_3-2-1_50KMV_2023-01-21_final.stac-item
2023-01-21 11:54:20	ga_s2bm_ard_3-2-1_50KNU_2023-01-21_final.stac-item
2023-01-21 11:54:21	ga_s2bm_ard_3-2-1_50JQT_2023-01-21_final.stac-item
2023-01-21 11:54:24	ga_s2bm_ard_3-2-1_50KMU_2023-01-21_final.stac-item
2023-01-21 11:54:31	ga_s2bm_ard_3-2-1_50JPT_2023-01-21_final.stac-item
2023-01-21 11:54:42	ga_s2bm_ard_3-2-1_50JLT_2023-01-21_final.stac-item
2023-01-21 11:54:46	ga_s2bm_ard_3-2-1_50JPS_2023-01-21_final.stac-item
2023-01-21 11:55:10	ga_s2bm_ard_3-2-1_50JLR_2023-01-21_final.stac-item
2023-01-21 11:55:14	ga_s2bm_ard_3-2-1_50JPQ_2023-01-21_final.stac-item
2023-01-21 11:55:24	ga_s2bm_ard_3-2-1_50JPP_2023-01-21_final.stac-item
2023-01-21 11:55:25	ga_s2bm_ard_3-2-1_50JLQ_2023-01-21_final.stac-item
2023-01-21 11:55:44	ga_s2bm_ard_3-2-1_50JKP_2023-01-21_final.stac-item
2023-01-21 11:56:02	ga_s2bm_ard_3-2-1_50JNM_2023-01-21_final.stac-item
2023-01-21 11:56:05	ga_s2bm_ard_3-2-1_50JMM_2023-01-21_final.stac-item
2023-01-21 11:56:49	ga_s2bm_ard_3-2-1_50HMJ_2023-01-21_final.stac-item
2023-01-22 09:40:09	ga_s2bm_ard_3-2-1_56LPL_2023-01-22_nrt.stac-item
2023-01-22 09:41:12	ga_s2bm_ard_3-2-1_56LNH_2023-01-22_nrt.stac-item
2023-01-22 09:41:13	ga_s2bm_ard_3-2-1_56LMH_2023-01-22_nrt.stac-item
2023-01-22 09:41:14	ga_s2bm_ard_3-2-1_56LLH_2023-01-22_nrt.stac-item
2023-01-22 09:41:16	ga_s2bm_ard_3-2-1_56LKH_2023-01-22_nrt.stac-item
2023-01-22 09:41:28	ga_s2bm_ard_3-2-1_56KKG_2023-01-22_final.stac-item
2023-01-22 09:41:30	ga_s2bm_ard_3-2-1_55KHB_2023-01-22_final.stac-item
2023-01-22 09:41:54	ga_s2bm_ard_3-2-1_56KLE_2023-01-22_final.stac-item
2023-01-22 09:42:05	ga_s2bm_ard_3-2-1_56KMD_2023-01-22_final.stac-item
2023-01-22 09:42:09	ga_s2bm_ard_3-2-1_56KLD_2023-01-22_final.stac-item
2023-01-22 09:42:12	ga_s2bm_ard_3-2-1_56KKD_2023-01-22_nrt.stac-item
2023-01-22 09:42:12	ga_s2bm_ard_3-2-1_55KHU_2023-01-22_nrt.stac-item
2023-01-22 09:42:26	ga_s2bm_ard_3-2-1_56KKC_2023-01-22_nrt.stac-item
2023-01-22 09:42:27	ga_s2bm_ard_3-2-1_55KHT_2023-01-22_nrt.stac-item
2023-01-22 09:42:31	ga_s2bm_ard_3-2-1_55KGT_2023-01-22_final.stac-item
2023-01-22 09:42:34	ga_s2bm_ard_3-2-1_56KMB_2023-01-22_final.stac-item
2023-01-22 09:42:38	ga_s2bm_ard_3-2-1_56KLB_2023-01-22_final.stac-item
2023-01-22 09:42:59	ga_s2bm_ard_3-2-1_56KMV_2023-01-22_nrt.stac-item
2023-01-22 09:43:36	ga_s2bm_ard_3-2-1_56JLT_2023-01-22_final.stac-item
2023-01-22 09:43:39	ga_s2bm_ard_3-2-1_55JHN_2023-01-22_final.stac-item
2023-01-22 09:43:42	ga_s2bm_ard_3-2-1_55JGN_2023-01-22_final.stac-item
2023-01-22 09:43:46	ga_s2bm_ard_3-2-1_55JFN_2023-01-22_final.stac-item
2023-01-22 09:43:50	ga_s2bm_ard_3-2-1_56JLS_2023-01-22_final.stac-item
2023-01-22 09:43:53	ga_s2bm_ard_3-2-1_55JHM_2023-01-22_final.stac-item
2023-01-22 09:44:00	ga_s2bm_ard_3-2-1_55JFM_2023-01-22_final.stac-item
2023-01-22 09:44:11	ga_s2bm_ard_3-2-1_55JGL_2023-01-22_final.stac-item
2023-01-22 09:44:34	ga_s2bm_ard_3-2-1_55JEK_2023-01-22_final.stac-item
2023-01-22 09:44:44	ga_s2bm_ard_3-2-1_55JFJ_2023-01-22_final.stac-item
2023-01-22 09:45:17	ga_s2bm_ard_3-2-1_55JEG_2023-01-22_final.stac-item
2023-01-22 09:45:24	ga_s2bm_ard_3-2-1_55JDG_2023-01-22_final.stac-item
2023-01-22 09:45:35	ga_s2bm_ard_3-2-1_55JDF_2023-01-22_final.stac-item
2023-01-22 09:46:00	ga_s2bm_ard_3-2-1_55HED_2023-01-22_final.stac-item
2023-01-22 09:46:03	ga_s2bm_ard_3-2-1_55HDD_2023-01-22_final.stac-item
2023-01-22 09:48:43	ga_s2bm_ard_3-2-1_55GDN_2023-01-22_final.stac-item
2023-01-22 09:48:47	ga_s2bm_ard_3-2-1_55GCN_2023-01-22_final.stac-item
2023-01-22 09:48:50	ga_s2bm_ard_3-2-1_54GYT_2023-01-22_nrt.stac-item
2023-01-22 09:48:54	ga_s2bm_ard_3-2-1_54GXT_2023-01-22_nrt.stac-item
2023-01-22 09:48:56	ga_s2bm_ard_3-2-1_55GDM_2023-01-22_final.stac-item
2023-01-22 09:48:58	ga_s2bm_ard_3-2-1_55GCM_2023-01-22_final.stac-item
2023-01-22 09:48:59	ga_s2bm_ard_3-2-1_54GYS_2023-01-22_nrt.stac-item
2023-01-22 09:49:01	ga_s2bm_ard_3-2-1_54GXS_2023-01-22_nrt.stac-item
2023-01-22 11:20:56	ga_s2bm_ard_3-2-1_52LEL_2023-01-22_final.stac-item
2023-01-22 11:21:01	ga_s2bm_ard_3-2-1_52LDL_2023-01-22_nrt.stac-item
2023-01-22 11:21:04	ga_s2bm_ard_3-2-1_52LCL_2023-01-22_nrt.stac-item
2023-01-22 11:21:06	ga_s2bm_ard_3-2-1_52LEK_2023-01-22_final.stac-item
2023-01-22 11:21:07	ga_s2bm_ard_3-2-1_52LBL_2023-01-22_nrt.stac-item
2023-01-22 11:21:09	ga_s2bm_ard_3-2-1_51LZF_2023-01-22_nrt.stac-item
2023-01-22 11:21:22	ga_s2bm_ard_3-2-1_52LBK_2023-01-22_final.stac-item
2023-01-22 11:21:23	ga_s2bm_ard_3-2-1_51LZE_2023-01-22_final.stac-item
2023-01-22 11:21:30	ga_s2bm_ard_3-2-1_52LDJ_2023-01-22_final.stac-item
2023-01-22 11:21:33	ga_s2bm_ard_3-2-1_52LCJ_2023-01-22_final.stac-item
2023-01-22 11:21:45	ga_s2bm_ard_3-2-1_52LDH_2023-01-22_final.stac-item
2023-01-22 11:21:51	ga_s2bm_ard_3-2-1_52LBH_2023-01-22_final.stac-item
2023-01-22 11:21:52	ga_s2bm_ard_3-2-1_51LZC_2023-01-22_final.stac-item
2023-01-22 11:21:57	ga_s2bm_ard_3-2-1_51LYC_2023-01-22_final.stac-item
2023-01-22 11:22:04	ga_s2bm_ard_3-2-1_52KBG_2023-01-22_final.stac-item
2023-01-22 11:22:05	ga_s2bm_ard_3-2-1_51KZB_2023-01-22_final.stac-item
2023-01-22 11:22:06	ga_s2bm_ard_3-2-1_51KYB_2023-01-22_final.stac-item
2023-01-22 11:22:11	ga_s2bm_ard_3-2-1_51KZB_2023-01-22_final.stac-item
2023-01-22 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2023-01-22_final.stac-item
2023-01-22 11:22:31	ga_s2bm_ard_3-2-1_52KCE_2023-01-22_final.stac-item
2023-01-22 11:22:46	ga_s2bm_ard_3-2-1_52KCD_2023-01-22_final.stac-item
2023-01-22 11:22:49	ga_s2bm_ard_3-2-1_52KBD_2023-01-22_final.stac-item
2023-01-22 11:22:50	ga_s2bm_ard_3-2-1_51KZU_2023-01-22_final.stac-item
2023-01-22 11:22:54	ga_s2bm_ard_3-2-1_51KYU_2023-01-22_final.stac-item
2023-01-22 11:22:58	ga_s2bm_ard_3-2-1_51KXU_2023-01-22_final.stac-item
2023-01-22 11:23:04	ga_s2bm_ard_3-2-1_52KBC_2023-01-22_final.stac-item
2023-01-22 11:23:05	ga_s2bm_ard_3-2-1_51KZT_2023-01-22_final.stac-item
2023-01-22 11:23:08	ga_s2bm_ard_3-2-1_51KYT_2023-01-22_final.stac-item
2023-01-22 11:23:14	ga_s2bm_ard_3-2-1_52KCB_2023-01-22_final.stac-item
2023-01-22 11:23:26	ga_s2bm_ard_3-2-1_51KXS_2023-01-22_final.stac-item
2023-01-22 11:24:00	ga_s2bm_ard_3-2-1_51KWQ_2023-01-22_final.stac-item
2023-01-22 11:24:13	ga_s2bm_ard_3-2-1_51KWP_2023-01-22_final.stac-item
2023-01-22 11:24:17	ga_s2bm_ard_3-2-1_51JZN_2023-01-22_final.stac-item
2023-01-22 11:24:17	ga_s2bm_ard_3-2-1_52JBT_2023-01-22_final.stac-item
2023-01-22 11:24:20	ga_s2bm_ard_3-2-1_51JYN_2023-01-22_final.stac-item
2023-01-22 11:24:24	ga_s2bm_ard_3-2-1_51JXN_2023-01-22_final.stac-item
2023-01-22 11:24:30	ga_s2bm_ard_3-2-1_51JZM_2023-01-22_final.stac-item
2023-01-22 11:24:38	ga_s2bm_ard_3-2-1_51JXM_2023-01-22_final.stac-item
2023-01-22 11:24:49	ga_s2bm_ard_3-2-1_51JYL_2023-01-22_final.stac-item
2023-01-22 11:25:22	ga_s2bm_ard_3-2-1_51JXJ_2023-01-22_final.stac-item
2023-01-22 11:25:55	ga_s2bm_ard_3-2-1_51JWG_2023-01-22_final.stac-item
2023-01-22 11:25:58	ga_s2bm_ard_3-2-1_51JVG_2023-01-22_final.stac-item
2023-01-22 11:26:38	ga_s2bm_ard_3-2-1_51HWD_2023-01-22_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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