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
2019-09-09 11:54:25	ga_s2bm_ard_3-2-1_50JQT_2019-09-09_final
2019-09-09 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2019-09-09_final
2019-09-09 11:54:42	ga_s2bm_ard_3-2-1_50JMT_2019-09-09_final
2019-09-09 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2019-09-09_final
2019-09-09 11:55:17	ga_s2bm_ard_3-2-1_50JPQ_2019-09-09_final
2019-09-09 11:55:28	ga_s2bm_ard_3-2-1_50JPP_2019-09-09_final
2019-09-09 11:55:29	ga_s2bm_ard_3-2-1_50JLQ_2019-09-09_final
2019-09-09 11:55:51	ga_s2bm_ard_3-2-1_50JNN_2019-09-09_final
2019-09-09 11:55:55	ga_s2bm_ard_3-2-1_50JMN_2019-09-09_final
2019-09-09 11:55:58	ga_s2bm_ard_3-2-1_50JLN_2019-09-09_final
2019-09-09 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2019-09-09_final
2019-09-09 11:56:09	ga_s2bm_ard_3-2-1_50JMM_2019-09-09_final
2019-09-09 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2019-09-09_final
2019-09-09 11:56:42	ga_s2bm_ard_3-2-1_50HLK_2019-09-09_final
2019-09-09 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2019-09-09_final
2019-09-09 11:57:11	ga_s2bm_ard_3-2-1_50HLH_2019-09-09_final
2019-09-09 11:57:24	ga_s2bm_ard_3-2-1_50HLG_2019-09-09_final.stac-item
2019-09-10 09:41:28	ga_s2bm_ard_3-2-1_56KLG_2019-09-10_final.stac-item
2019-09-10 09:41:39	ga_s2bm_ard_3-2-1_56KMF_2019-09-10_final.stac-item
2019-09-10 09:41:43	ga_s2bm_ard_3-2-1_56KLF_2019-09-10_final
2019-09-10 09:41:46	ga_s2bm_ard_3-2-1_56KKF_2019-09-10_final
2019-09-10 09:41:54	ga_s2bm_ard_3-2-1_56KME_2019-09-10_final.stac-item
2019-09-10 09:41:57	ga_s2bm_ard_3-2-1_56KLE_2019-09-10_final
2019-09-10 09:42:12	ga_s2bm_ard_3-2-1_56KLD_2019-09-10_final
2019-09-10 09:43:13	ga_s2bm_ard_3-2-1_55KHQ_2019-09-10_final
2019-09-10 09:43:28	ga_s2bm_ard_3-2-1_55KHP_2019-09-10_final
2019-09-10 09:43:46	ga_s2bm_ard_3-2-1_55JGN_2019-09-10_final
2019-09-10 09:43:54	ga_s2bm_ard_3-2-1_56JLS_2019-09-10_final
2019-09-10 09:44:18	ga_s2bm_ard_3-2-1_56JLQ_2019-09-10_final
2019-09-10 09:44:26	ga_s2bm_ard_3-2-1_56JKQ_2019-09-10_final
2019-09-10 09:44:33	ga_s2bm_ard_3-2-1_55JFK_2019-09-10_final
2019-09-10 09:44:44	ga_s2bm_ard_3-2-1_55JGJ_2019-09-10_final
2019-09-10 09:44:47	ga_s2bm_ard_3-2-1_55JFJ_2019-09-10_final
2019-09-10 09:45:02	ga_s2bm_ard_3-2-1_55JFH_2019-09-10_final
2019-09-10 09:45:05	ga_s2bm_ard_3-2-1_55JEH_2019-09-10_final
2019-09-10 09:45:16	ga_s2bm_ard_3-2-1_55JFG_2019-09-10_final
2019-09-10 09:45:20	ga_s2bm_ard_3-2-1_55JEG_2019-09-10_final
2019-09-10 09:45:23	ga_s2bm_ard_3-2-1_56JKL_2019-09-10_final
2019-09-10 09:45:27	ga_s2bm_ard_3-2-1_55JGF_2019-09-10_final
2019-09-10 09:45:28	ga_s2bm_ard_3-2-1_55JDG_2019-09-10_final
2019-09-10 09:45:45	ga_s2bm_ard_3-2-1_55HFE_2019-09-10_final
2019-09-10 09:46:00	ga_s2bm_ard_3-2-1_55HFD_2019-09-10_final
2019-09-10 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-09-10_final
2019-09-10 09:46:07	ga_s2bm_ard_3-2-1_55HDD_2019-09-10_final
2019-09-10 09:46:14	ga_s2bm_ard_3-2-1_55HFC_2019-09-10_final
2019-09-10 09:46:29	ga_s2bm_ard_3-2-1_55HCC_2019-09-10_final
2019-09-10 09:46:58	ga_s2bm_ard_3-2-1_55HFV_2019-09-10_final
2019-09-10 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2019-09-10_final
2019-09-10 09:47:05	ga_s2bm_ard_3-2-1_55HDV_2019-09-10_final
2019-09-10 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2019-09-10_final
2019-09-10 09:47:21	ga_s2bm_ard_3-2-1_55HFT_2019-09-10_final.stac-item
2019-09-10 09:47:30	ga_s2bm_ard_3-2-1_55HET_2019-09-10_final
2019-09-10 09:47:34	ga_s2bm_ard_3-2-1_55HDT_2019-09-10_final
2019-09-10 09:47:37	ga_s2bm_ard_3-2-1_55HCT_2019-09-10_final
2019-09-10 09:47:42	ga_s2bm_ard_3-2-1_55HBT_2019-09-10_final
2019-09-10 09:47:46	ga_s2bm_ard_3-2-1_54HYC_2019-09-10_final
2019-09-10 11:21:09	ga_s2bm_ard_3-2-1_52LEK_2019-09-10_final.stac-item
2019-09-10 11:21:25	ga_s2bm_ard_3-2-1_52LBK_2019-09-10_final
2019-09-10 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2019-09-10_final
2019-09-10 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2019-09-10_final
2019-09-10 11:21:51	ga_s2bm_ard_3-2-1_52LCH_2019-09-10_final
2019-09-10 11:21:55	ga_s2bm_ard_3-2-1_52LBH_2019-09-10_final
2019-09-10 11:21:56	ga_s2bm_ard_3-2-1_51LZC_2019-09-10_final
2019-09-10 11:22:00	ga_s2bm_ard_3-2-1_51LYC_2019-09-10_final
2019-09-10 11:22:06	ga_s2bm_ard_3-2-1_52KCG_2019-09-10_final
2019-09-10 11:22:10	ga_s2bm_ard_3-2-1_51KZB_2019-09-10_final
2019-09-10 11:22:14	ga_s2bm_ard_3-2-1_52KDF_2019-09-10_final
2019-09-10 11:22:20	ga_s2bm_ard_3-2-1_52KCF_2019-09-10_final
2019-09-10 11:22:24	ga_s2bm_ard_3-2-1_52KBF_2019-09-10_final
2019-09-10 11:22:25	ga_s2bm_ard_3-2-1_51KZA_2019-09-10_final
2019-09-10 11:22:28	ga_s2bm_ard_3-2-1_51KYA_2019-09-10_final
2019-09-10 11:22:35	ga_s2bm_ard_3-2-1_52KCE_2019-09-10_final
2019-09-10 11:22:49	ga_s2bm_ard_3-2-1_52KCD_2019-09-10_final
2019-09-10 11:23:02	ga_s2bm_ard_3-2-1_51KXU_2019-09-10_final
2019-09-10 11:23:16	ga_s2bm_ard_3-2-1_52KCB_2019-09-10_final
2019-09-10 11:23:22	ga_s2bm_ard_3-2-1_51KXS_2019-09-10_final
2019-09-10 11:23:23	ga_s2bm_ard_3-2-1_52KCB_2019-09-10_final
2019-09-10 11:23:30	ga_s2bm_ard_3-2-1_51KXS_2019-09-10_final
2019-09-10 11:23:51	ga_s2bm_ard_3-2-1_51KZQ_2019-09-10_final
2019-09-10 11:24:05	ga_s2bm_ard_3-2-1_51KZP_2019-09-10_final
2019-09-10 11:24:16	ga_s2bm_ard_3-2-1_51KWP_2019-09-10_final
2019-09-10 11:24:24	ga_s2bm_ard_3-2-1_51JYN_2019-09-10_final
2019-09-10 11:25:07	ga_s2bm_ard_3-2-1_51JYK_2019-09-10_final
2019-09-10 11:25:11	ga_s2bm_ard_3-2-1_51JXK_2019-09-10_final
2019-09-10 11:25:25	ga_s2bm_ard_3-2-1_51JXJ_2019-09-10_final
2019-09-10 11:25:40	ga_s2bm_ard_3-2-1_51JXH_2019-09-10_final
2019-09-10 11:25:43	ga_s2bm_ard_3-2-1_51JWH_2019-09-10_final
2019-09-10 11:25:46	ga_s2bm_ard_3-2-1_51JYG_2019-09-10_final
2019-09-10 11:25:47	ga_s2bm_ard_3-2-1_51JVH_2019-09-10_final
2019-09-10 11:25:54	ga_s2bm_ard_3-2-1_51JXG_2019-09-10_final
2019-09-10 11:25:58	ga_s2bm_ard_3-2-1_51JWG_2019-09-10_final
2019-09-10 11:26:01	ga_s2bm_ard_3-2-1_51JVG_2019-09-10_final
2019-09-10 11:26:07	ga_s2bm_ard_3-2-1_51JUG_2019-09-10_final
2019-09-10 11:26:23	ga_s2bm_ard_3-2-1_51HXE_2019-09-10_final
2019-09-10 11:26:34	ga_s2bm_ard_3-2-1_51HUE_2019-09-10_final
2019-09-10 11:26:37	ga_s2bm_ard_3-2-1_51HXD_2019-09-10_final
2019-09-10 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2019-09-10_final
2019-09-10 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2019-09-10_final
2019-09-10 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2019-09-10_final.stac-item
2019-09-10 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2019-09-10_final

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

Other products

All years