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
2019-09-08 10:43:24	ga_s2bm_ard_3-2-1_53KNR_2019-09-08_final
2019-09-08 10:43:28	ga_s2bm_ard_3-2-1_53KMR_2019-09-08_final
2019-09-08 10:43:39	ga_s2bm_ard_3-2-1_53KNQ_2019-09-08_final
2019-09-08 10:43:42	ga_s2bm_ard_3-2-1_53KMQ_2019-09-08_final
2019-09-08 10:43:54	ga_s2bm_ard_3-2-1_53KNP_2019-09-08_final
2019-09-08 10:43:57	ga_s2bm_ard_3-2-1_53KMP_2019-09-08_final
2019-09-08 10:44:08	ga_s2bm_ard_3-2-1_53JNN_2019-09-08_final
2019-09-08 10:44:11	ga_s2bm_ard_3-2-1_53JMN_2019-09-08_final
2019-09-08 10:44:18	ga_s2bm_ard_3-2-1_53JPM_2019-09-08_final
2019-09-08 10:44:29	ga_s2bm_ard_3-2-1_53JLM_2019-09-08_final
2019-09-08 10:44:30	ga_s2bm_ard_3-2-1_53JPL_2019-09-08_final
2019-09-08 10:44:37	ga_s2bm_ard_3-2-1_53JNL_2019-09-08_final
2019-09-08 10:44:41	ga_s2bm_ard_3-2-1_53JML_2019-09-08_final
2019-09-08 10:44:44	ga_s2bm_ard_3-2-1_53JLL_2019-09-08_final
2019-09-08 10:44:51	ga_s2bm_ard_3-2-1_53JNK_2019-09-08_final
2019-09-08 10:44:55	ga_s2bm_ard_3-2-1_53JMK_2019-09-08_final
2019-09-08 10:44:58	ga_s2bm_ard_3-2-1_53JLK_2019-09-08_final
2019-09-08 10:45:02	ga_s2bm_ard_3-2-1_53JKK_2019-09-08_final
2019-09-08 10:45:06	ga_s2bm_ard_3-2-1_53JNJ_2019-09-08_final
2019-09-08 10:45:10	ga_s2bm_ard_3-2-1_53JMJ_2019-09-08_final
2019-09-08 10:45:13	ga_s2bm_ard_3-2-1_53JLJ_2019-09-08_final
2019-09-08 10:45:21	ga_s2bm_ard_3-2-1_53JNH_2019-09-08_final
2019-09-08 10:45:24	ga_s2bm_ard_3-2-1_53JMH_2019-09-08_final
2019-09-08 10:45:28	ga_s2bm_ard_3-2-1_53JLH_2019-09-08_final
2019-09-08 10:45:34	ga_s2bm_ard_3-2-1_53JNG_2019-09-08_final
2019-09-08 10:45:39	ga_s2bm_ard_3-2-1_53JMG_2019-09-08_final
2019-09-08 10:45:42	ga_s2bm_ard_3-2-1_53JLG_2019-09-08_final
2019-09-08 10:45:57	ga_s2bm_ard_3-2-1_53JLF_2019-09-08_final
2019-09-08 10:46:00	ga_s2bm_ard_3-2-1_53JKF_2019-09-08_final
2019-09-08 10:46:02	ga_s2bm_ard_3-2-1_52JGL_2019-09-08_final
2019-09-08 10:46:11	ga_s2bm_ard_3-2-1_53HLE_2019-09-08_final
2019-09-08 10:46:14	ga_s2bm_ard_3-2-1_53HKE_2019-09-08_final.stac-item
2019-09-08 10:46:22	ga_s2bm_ard_3-2-1_53HMD_2019-09-08_final
2019-09-08 10:46:26	ga_s2bm_ard_3-2-1_53HLD_2019-09-08_final
2019-09-08 10:46:33	ga_s2bm_ard_3-2-1_53HMC_2019-09-08_final.stac-item
2019-09-09 10:10:13	ga_s2bm_ard_3-2-1_54LZN_2019-09-09_final
2019-09-09 10:10:55	ga_s2bm_ard_3-2-1_55LBE_2019-09-09_final
2019-09-09 10:10:56	ga_s2bm_ard_3-2-1_54LZK_2019-09-09_final
2019-09-09 10:11:02	ga_s2bm_ard_3-2-1_54LYK_2019-09-09_final
2019-09-09 10:11:21	ga_s2bm_ard_3-2-1_55LCC_2019-09-09_final
2019-09-09 10:11:24	ga_s2bm_ard_3-2-1_55LBC_2019-09-09_final
2019-09-09 10:11:25	ga_s2bm_ard_3-2-1_54LZH_2019-09-09_final
2019-09-09 10:11:40	ga_s2bm_ard_3-2-1_54KZG_2019-09-09_final
2019-09-09 10:11:50	ga_s2bm_ard_3-2-1_55KCA_2019-09-09_final
2019-09-09 10:11:53	ga_s2bm_ard_3-2-1_55KBA_2019-09-09_final
2019-09-09 10:11:54	ga_s2bm_ard_3-2-1_54KZF_2019-09-09_final
2019-09-09 10:11:58	ga_s2bm_ard_3-2-1_54KYF_2019-09-09_final
2019-09-09 10:12:04	ga_s2bm_ard_3-2-1_54KXF_2019-09-09_final
2019-09-09 10:12:05	ga_s2bm_ard_3-2-1_55KCV_2019-09-09_final
2019-09-09 10:12:16	ga_s2bm_ard_3-2-1_54KXE_2019-09-09_final
2019-09-09 10:12:18	ga_s2bm_ard_3-2-1_55KCU_2019-09-09_final
2019-09-09 10:12:30	ga_s2bm_ard_3-2-1_54KXD_2019-09-09_final
2019-09-09 10:12:52	ga_s2bm_ard_3-2-1_54KZB_2019-09-09_final
2019-09-09 10:13:05	ga_s2bm_ard_3-2-1_54KWB_2019-09-09_final
2019-09-09 10:13:17	ga_s2bm_ard_3-2-1_54KWA_2019-09-09_final
2019-09-09 10:13:21	ga_s2bm_ard_3-2-1_54KZV_2019-09-09_final
2019-09-09 10:13:31	ga_s2bm_ard_3-2-1_54KWV_2019-09-09_final
2019-09-09 10:13:35	ga_s2bm_ard_3-2-1_54KZU_2019-09-09_final
2019-09-09 10:13:46	ga_s2bm_ard_3-2-1_55JBN_2019-09-09_final
2019-09-09 10:13:46	ga_s2bm_ard_3-2-1_54KWU_2019-09-09_final
2019-09-09 10:13:53	ga_s2bm_ard_3-2-1_54JYT_2019-09-09_final
2019-09-09 10:13:58	ga_s2bm_ard_3-2-1_54JWT_2019-09-09_final
2019-09-09 10:14:02	ga_s2bm_ard_3-2-1_54JYT_2019-09-09_final
2019-09-09 10:14:03	ga_s2bm_ard_3-2-1_54JXS_2019-09-09_final
2019-09-09 10:14:05	ga_s2bm_ard_3-2-1_54JWT_2019-09-09_final
2019-09-09 10:14:08	ga_s2bm_ard_3-2-1_54JVT_2019-09-09_final
2019-09-09 10:14:12	ga_s2bm_ard_3-2-1_54JXS_2019-09-09_final
2019-09-09 10:14:26	ga_s2bm_ard_3-2-1_54JXR_2019-09-09_final
2019-09-09 10:14:37	ga_s2bm_ard_3-2-1_54JYQ_2019-09-09_final
2019-09-09 10:14:41	ga_s2bm_ard_3-2-1_54JXQ_2019-09-09_final
2019-09-09 10:14:44	ga_s2bm_ard_3-2-1_54JWQ_2019-09-09_final
2019-09-09 10:14:49	ga_s2bm_ard_3-2-1_54JYP_2019-09-09_final
2019-09-09 10:14:55	ga_s2bm_ard_3-2-1_54JXP_2019-09-09_final
2019-09-09 10:14:59	ga_s2bm_ard_3-2-1_54JWP_2019-09-09_final
2019-09-09 10:14:59	ga_s2bm_ard_3-2-1_54JYN_2019-09-09_final
2019-09-09 10:15:02	ga_s2bm_ard_3-2-1_54JVP_2019-09-09_final
2019-09-09 10:15:09	ga_s2bm_ard_3-2-1_54JXN_2019-09-09_final
2019-09-09 10:15:09	ga_s2bm_ard_3-2-1_54JUP_2019-09-09_final
2019-09-09 10:15:16	ga_s2bm_ard_3-2-1_54JVN_2019-09-09_final
2019-09-09 10:15:20	ga_s2bm_ard_3-2-1_54JUN_2019-09-09_final
2019-09-09 10:15:24	ga_s2bm_ard_3-2-1_54JXM_2019-09-09_final
2019-09-09 10:15:28	ga_s2bm_ard_3-2-1_54JWM_2019-09-09_final
2019-09-09 10:15:31	ga_s2bm_ard_3-2-1_54JVM_2019-09-09_final
2019-09-09 10:15:34	ga_s2bm_ard_3-2-1_54JUM_2019-09-09_final
2019-09-09 10:15:38	ga_s2bm_ard_3-2-1_54JXL_2019-09-09_final
2019-09-09 10:15:52	ga_s2bm_ard_3-2-1_54HXK_2019-09-09_final
2019-09-09 10:16:02	ga_s2bm_ard_3-2-1_54HXJ_2019-09-09_final
2019-09-09 10:16:04	ga_s2bm_ard_3-2-1_54HUK_2019-09-09_final
2019-09-09 10:16:11	ga_s2bm_ard_3-2-1_54HWJ_2019-09-09_final
2019-09-09 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2019-09-09_final
2019-09-09 10:16:18	ga_s2bm_ard_3-2-1_54HUJ_2019-09-09_final
2019-09-09 10:16:32	ga_s2bm_ard_3-2-1_54HUH_2019-09-09_final
2019-09-09 10:16:47	ga_s2bm_ard_3-2-1_54HUG_2019-09-09_final
2019-09-09 10:17:02	ga_s2bm_ard_3-2-1_54HUF_2019-09-09_final
2019-09-09 10:17:05	ga_s2bm_ard_3-2-1_54HWE_2019-09-09_final
2019-09-09 10:17:06	ga_s2bm_ard_3-2-1_53HQA_2019-09-09_final
2019-09-09 10:17:12	ga_s2bm_ard_3-2-1_54HVE_2019-09-09_final
2019-09-09 10:17:16	ga_s2bm_ard_3-2-1_54HUE_2019-09-09_final.stac-item
2019-09-09 10:17:27	ga_s2bm_ard_3-2-1_54HVD_2019-09-09_final
2019-09-09 10:17:31	ga_s2bm_ard_3-2-1_54HUD_2019-09-09_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

Other products

All years