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
2019-11-07 10:41:59	ga_s2bm_ard_3-2-1_53KRA_2019-11-07_final
2019-11-07 10:42:03	ga_s2bm_ard_3-2-1_53KQA_2019-11-07_final
2019-11-07 10:42:10	ga_s2bm_ard_3-2-1_53KNA_2019-11-07_final
2019-11-07 10:42:12	ga_s2bm_ard_3-2-1_53KRV_2019-11-07_final
2019-11-07 10:42:17	ga_s2bm_ard_3-2-1_53KQV_2019-11-07_final
2019-11-07 10:42:21	ga_s2bm_ard_3-2-1_53KPV_2019-11-07_final
2019-11-07 10:42:22	ga_s2bm_ard_3-2-1_53KRU_2019-11-07_final
2019-11-07 10:42:25	ga_s2bm_ard_3-2-1_53KNV_2019-11-07_final
2019-11-07 10:42:32	ga_s2bm_ard_3-2-1_53KQU_2019-11-07_final
2019-11-07 10:42:36	ga_s2bm_ard_3-2-1_53KPU_2019-11-07_final
2019-11-07 10:42:39	ga_s2bm_ard_3-2-1_53KNU_2019-11-07_final
2019-11-07 10:42:50	ga_s2bm_ard_3-2-1_53KPT_2019-11-07_final
2019-11-07 10:42:53	ga_s2bm_ard_3-2-1_53KNT_2019-11-07_final
2019-11-07 10:42:56	ga_s2bm_ard_3-2-1_53KMT_2019-11-07_final
2019-11-07 10:43:05	ga_s2bm_ard_3-2-1_53KPS_2019-11-07_final
2019-11-07 10:43:14	ga_s2bm_ard_3-2-1_53KQR_2019-11-07_final
2019-11-07 10:43:23	ga_s2bm_ard_3-2-1_53KNR_2019-11-07_final
2019-11-07 10:43:26	ga_s2bm_ard_3-2-1_53KMR_2019-11-07_final
2019-11-07 10:43:35	ga_s2bm_ard_3-2-1_53KNQ_2019-11-07_final
2019-11-07 10:43:37	ga_s2bm_ard_3-2-1_53KMQ_2019-11-07_final
2019-11-07 10:43:42	ga_s2bm_ard_3-2-1_53KNQ_2019-11-07_final
2019-11-07 10:43:44	ga_s2bm_ard_3-2-1_53KMQ_2019-11-07_final
2019-11-07 10:43:52	ga_s2bm_ard_3-2-1_53KNP_2019-11-07_final
2019-11-07 10:43:55	ga_s2bm_ard_3-2-1_53KMP_2019-11-07_final
2019-11-07 10:44:03	ga_s2bm_ard_3-2-1_53JPN_2019-11-07_final
2019-11-07 10:44:06	ga_s2bm_ard_3-2-1_53JNN_2019-11-07_final
2019-11-07 10:44:10	ga_s2bm_ard_3-2-1_53JMN_2019-11-07_final
2019-11-07 10:44:12	ga_s2bm_ard_3-2-1_53JLN_2019-11-07_final
2019-11-07 10:44:16	ga_s2bm_ard_3-2-1_53JPM_2019-11-07_final
2019-11-07 10:44:27	ga_s2bm_ard_3-2-1_53JLM_2019-11-07_final
2019-11-07 10:44:28	ga_s2bm_ard_3-2-1_53JPL_2019-11-07_final
2019-11-07 10:45:00	ga_s2bm_ard_3-2-1_53JKK_2019-11-07_final
2019-11-07 10:45:14	ga_s2bm_ard_3-2-1_53JKJ_2019-11-07_final
2019-11-07 10:45:29	ga_s2bm_ard_3-2-1_53JKH_2019-11-07_final
2019-11-07 10:45:42	ga_s2bm_ard_3-2-1_53JNF_2019-11-07_final
2019-11-07 10:45:51	ga_s2bm_ard_3-2-1_53JMF_2019-11-07_final
2019-11-07 10:45:55	ga_s2bm_ard_3-2-1_53JLF_2019-11-07_final
2019-11-07 10:46:06	ga_s2bm_ard_3-2-1_53HME_2019-11-07_final
2019-11-07 10:46:15	ga_s2bm_ard_3-2-1_52HGK_2019-11-07_final.stac-item
2019-11-07 10:46:20	ga_s2bm_ard_3-2-1_53HMD_2019-11-07_final
2019-11-08 10:09:58	ga_s2bm_ard_3-2-1_54LZP_2019-11-08_final
2019-11-08 10:10:40	ga_s2bm_ard_3-2-1_54LZL_2019-11-08_final
2019-11-08 10:10:50	ga_s2bm_ard_3-2-1_55LCE_2019-11-08_final
2019-11-08 10:11:04	ga_s2bm_ard_3-2-1_55LCD_2019-11-08_final
2019-11-08 10:11:12	ga_s2bm_ard_3-2-1_54LYJ_2019-11-08_final
2019-11-08 10:11:22	ga_s2bm_ard_3-2-1_55LBC_2019-11-08_final
2019-11-08 10:11:23	ga_s2bm_ard_3-2-1_54LZH_2019-11-08_final
2019-11-08 10:11:27	ga_s2bm_ard_3-2-1_54LYH_2019-11-08_final
2019-11-08 10:11:33	ga_s2bm_ard_3-2-1_55KCB_2019-11-08_final
2019-11-08 10:11:38	ga_s2bm_ard_3-2-1_54KZG_2019-11-08_final
2019-11-08 10:11:41	ga_s2bm_ard_3-2-1_54KYG_2019-11-08_final
2019-11-08 10:11:51	ga_s2bm_ard_3-2-1_55KBA_2019-11-08_final
2019-11-08 10:11:52	ga_s2bm_ard_3-2-1_54KZF_2019-11-08_final
2019-11-08 10:11:56	ga_s2bm_ard_3-2-1_54KYF_2019-11-08_final
2019-11-08 10:12:03	ga_s2bm_ard_3-2-1_55KCV_2019-11-08_final
2019-11-08 10:12:06	ga_s2bm_ard_3-2-1_55KBV_2019-11-08_final
2019-11-08 10:12:10	ga_s2bm_ard_3-2-1_54KYE_2019-11-08_final
2019-11-08 10:12:14	ga_s2bm_ard_3-2-1_54KXE_2019-11-08_final
2019-11-08 10:12:16	ga_s2bm_ard_3-2-1_55KCU_2019-11-08_final
2019-11-08 10:12:20	ga_s2bm_ard_3-2-1_55KBU_2019-11-08_final
2019-11-08 10:12:21	ga_s2bm_ard_3-2-1_54KZD_2019-11-08_final
2019-11-08 10:12:28	ga_s2bm_ard_3-2-1_54KXD_2019-11-08_final
2019-11-08 10:12:35	ga_s2bm_ard_3-2-1_55KBT_2019-11-08_final
2019-11-08 10:12:43	ga_s2bm_ard_3-2-1_54KXC_2019-11-08_final
2019-11-08 10:12:49	ga_s2bm_ard_3-2-1_55KBS_2019-11-08_final
2019-11-08 10:12:50	ga_s2bm_ard_3-2-1_54KZB_2019-11-08_final
2019-11-08 10:13:04	ga_s2bm_ard_3-2-1_54KWB_2019-11-08_final
2019-11-08 10:13:04	ga_s2bm_ard_3-2-1_54KZA_2019-11-08_final
2019-11-08 10:13:08	ga_s2bm_ard_3-2-1_54KYA_2019-11-08_final
2019-11-08 10:13:19	ga_s2bm_ard_3-2-1_54KZV_2019-11-08_final
2019-11-08 10:13:29	ga_s2bm_ard_3-2-1_54KWV_2019-11-08_final
2019-11-08 10:13:44	ga_s2bm_ard_3-2-1_55JBN_2019-11-08_final
2019-11-08 10:13:44	ga_s2bm_ard_3-2-1_54KWU_2019-11-08_final
2019-11-08 10:13:45	ga_s2bm_ard_3-2-1_54JZT_2019-11-08_final
2019-11-08 10:13:51	ga_s2bm_ard_3-2-1_54JYT_2019-11-08_final
2019-11-08 10:13:53	ga_s2bm_ard_3-2-1_54JXT_2019-11-08_final
2019-11-08 10:13:58	ga_s2bm_ard_3-2-1_54JYT_2019-11-08_final
2019-11-08 10:14:00	ga_s2bm_ard_3-2-1_54JXT_2019-11-08_final
2019-11-08 10:14:05	ga_s2bm_ard_3-2-1_54JVT_2019-11-08_final
2019-11-08 10:14:10	ga_s2bm_ard_3-2-1_54JXS_2019-11-08_final
2019-11-08 10:14:35	ga_s2bm_ard_3-2-1_54JYQ_2019-11-08_final
2019-11-08 10:14:46	ga_s2bm_ard_3-2-1_54JVQ_2019-11-08_final
2019-11-08 10:15:07	ga_s2bm_ard_3-2-1_54JXN_2019-11-08_final
2019-11-08 10:15:40	ga_s2bm_ard_3-2-1_54JWL_2019-11-08_final
2019-11-08 10:15:44	ga_s2bm_ard_3-2-1_54JVL_2019-11-08_final
2019-11-08 10:15:47	ga_s2bm_ard_3-2-1_54JUL_2019-11-08_final
2019-11-08 10:15:58	ga_s2bm_ard_3-2-1_54HVK_2019-11-08_final
2019-11-08 10:16:09	ga_s2bm_ard_3-2-1_54HWJ_2019-11-08_final
2019-11-08 10:16:20	ga_s2bm_ard_3-2-1_54HTJ_2019-11-08_final
2019-11-08 10:16:34	ga_s2bm_ard_3-2-1_54HTH_2019-11-08_final
2019-11-08 10:16:38	ga_s2bm_ard_3-2-1_54HWG_2019-11-08_final
2019-11-08 10:16:42	ga_s2bm_ard_3-2-1_54HVG_2019-11-08_final
2019-11-08 10:16:45	ga_s2bm_ard_3-2-1_54HUG_2019-11-08_final
2019-11-08 10:16:52	ga_s2bm_ard_3-2-1_54HWF_2019-11-08_final
2019-11-08 10:16:56	ga_s2bm_ard_3-2-1_54HVF_2019-11-08_final
2019-11-08 10:17:00	ga_s2bm_ard_3-2-1_54HUF_2019-11-08_final
2019-11-08 10:17:03	ga_s2bm_ard_3-2-1_54HTF_2019-11-08_final
2019-11-08 10:17:04	ga_s2bm_ard_3-2-1_53HQA_2019-11-08_final
2019-11-08 10:17:18	ga_s2bm_ard_3-2-1_54HTE_2019-11-08_final.stac-item
2019-11-08 10:17:19	ga_s2bm_ard_3-2-1_53HQV_2019-11-08_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