Search ga_s2bm_ard_3 on 28th November 2019

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
2019-11-28 10:09:54	ga_s2bm_ard_3-2-1_54LZP_2019-11-28_final
2019-11-28 10:10:07	ga_s2bm_ard_3-2-1_54LZN_2019-11-28_final
2019-11-28 10:10:21	ga_s2bm_ard_3-2-1_54LZM_2019-11-28_final
2019-11-28 10:10:36	ga_s2bm_ard_3-2-1_54LZL_2019-11-28_final
2019-11-28 10:10:46	ga_s2bm_ard_3-2-1_55LCE_2019-11-28_final
2019-11-28 10:10:49	ga_s2bm_ard_3-2-1_55LBE_2019-11-28_final
2019-11-28 10:10:51	ga_s2bm_ard_3-2-1_54LZK_2019-11-28_final
2019-11-28 10:10:56	ga_s2bm_ard_3-2-1_54LYK_2019-11-28_final
2019-11-28 10:11:04	ga_s2bm_ard_3-2-1_55LBD_2019-11-28_final
2019-11-28 10:11:08	ga_s2bm_ard_3-2-1_54LYJ_2019-11-28_final
2019-11-28 10:11:15	ga_s2bm_ard_3-2-1_55LCC_2019-11-28_final
2019-11-28 10:11:18	ga_s2bm_ard_3-2-1_55LBC_2019-11-28_final
2019-11-28 10:11:19	ga_s2bm_ard_3-2-1_55KDB_2019-11-28_final
2019-11-28 10:11:20	ga_s2bm_ard_3-2-1_54LZH_2019-11-28_final
2019-11-28 10:11:23	ga_s2bm_ard_3-2-1_54LYH_2019-11-28_final
2019-11-28 10:11:33	ga_s2bm_ard_3-2-1_55KBB_2019-11-28_final
2019-11-28 10:11:34	ga_s2bm_ard_3-2-1_54KZG_2019-11-28_final
2019-11-28 10:11:37	ga_s2bm_ard_3-2-1_54KYG_2019-11-28_final
2019-11-28 10:11:47	ga_s2bm_ard_3-2-1_55KBA_2019-11-28_final
2019-11-28 10:11:48	ga_s2bm_ard_3-2-1_54KZF_2019-11-28_final
2019-11-28 10:11:52	ga_s2bm_ard_3-2-1_54KYF_2019-11-28_final
2019-11-28 10:11:59	ga_s2bm_ard_3-2-1_55KCV_2019-11-28_final
2019-11-28 10:12:02	ga_s2bm_ard_3-2-1_55KBV_2019-11-28_final
2019-11-28 10:12:06	ga_s2bm_ard_3-2-1_54KYE_2019-11-28_final
2019-11-28 10:12:10	ga_s2bm_ard_3-2-1_54KXE_2019-11-28_final
2019-11-28 10:12:12	ga_s2bm_ard_3-2-1_55KCU_2019-11-28_final
2019-11-28 10:12:24	ga_s2bm_ard_3-2-1_54KXD_2019-11-28_final
2019-11-28 10:12:24	ga_s2bm_ard_3-2-1_55KCT_2019-11-28_final
2019-11-28 10:12:31	ga_s2bm_ard_3-2-1_55KBT_2019-11-28_final
2019-11-28 10:12:32	ga_s2bm_ard_3-2-1_54KZC_2019-11-28_final
2019-11-28 10:12:35	ga_s2bm_ard_3-2-1_54KYC_2019-11-28_final
2019-11-28 10:12:39	ga_s2bm_ard_3-2-1_54KXC_2019-11-28_final
2019-11-28 10:12:45	ga_s2bm_ard_3-2-1_55KBS_2019-11-28_final
2019-11-28 10:12:46	ga_s2bm_ard_3-2-1_54KZB_2019-11-28_final
2019-11-28 10:12:50	ga_s2bm_ard_3-2-1_54KYB_2019-11-28_final
2019-11-28 10:12:53	ga_s2bm_ard_3-2-1_54KXB_2019-11-28_final
2019-11-28 10:13:00	ga_s2bm_ard_3-2-1_54KWB_2019-11-28_final
2019-11-28 10:13:04	ga_s2bm_ard_3-2-1_54KYA_2019-11-28_final
2019-11-28 10:13:08	ga_s2bm_ard_3-2-1_54KXA_2019-11-28_final
2019-11-28 10:13:11	ga_s2bm_ard_3-2-1_54KWA_2019-11-28_final
2019-11-28 10:13:19	ga_s2bm_ard_3-2-1_54KYV_2019-11-28_final
2019-11-28 10:13:25	ga_s2bm_ard_3-2-1_54KWV_2019-11-28_final
2019-11-28 10:13:28	ga_s2bm_ard_3-2-1_55KBP_2019-11-28_final
2019-11-28 10:13:29	ga_s2bm_ard_3-2-1_54KZU_2019-11-28_final
2019-11-28 10:13:33	ga_s2bm_ard_3-2-1_54KYU_2019-11-28_final
2019-11-28 10:13:37	ga_s2bm_ard_3-2-1_54KXU_2019-11-28_final
2019-11-28 10:13:40	ga_s2bm_ard_3-2-1_55JBN_2019-11-28_final
2019-11-28 10:13:40	ga_s2bm_ard_3-2-1_54KWU_2019-11-28_final
2019-11-28 10:13:47	ga_s2bm_ard_3-2-1_54JYT_2019-11-28_final
2019-11-28 10:13:51	ga_s2bm_ard_3-2-1_54JXT_2019-11-28_final
2019-11-28 10:13:55	ga_s2bm_ard_3-2-1_54JWT_2019-11-28_final
2019-11-28 10:14:02	ga_s2bm_ard_3-2-1_54JVT_2019-11-28_final
2019-11-28 10:14:06	ga_s2bm_ard_3-2-1_54JXS_2019-11-28_final
2019-11-28 10:15:15	ga_s2bm_ard_3-2-1_54JXM_2019-11-28_final
2019-11-28 10:15:19	ga_s2bm_ard_3-2-1_54JVM_2019-11-28_final
2019-11-28 10:15:20	ga_s2bm_ard_3-2-1_54JUM_2019-11-28_final
2019-11-28 10:15:22	ga_s2bm_ard_3-2-1_54JXM_2019-11-28_final
2019-11-28 10:15:26	ga_s2bm_ard_3-2-1_54JVM_2019-11-28_final
2019-11-28 10:15:28	ga_s2bm_ard_3-2-1_54JUM_2019-11-28_final
2019-11-28 10:15:36	ga_s2bm_ard_3-2-1_54JWL_2019-11-28_final
2019-11-28 10:15:40	ga_s2bm_ard_3-2-1_54JVL_2019-11-28_final
2019-11-28 10:16:05	ga_s2bm_ard_3-2-1_54HWJ_2019-11-28_final
2019-11-28 10:16:09	ga_s2bm_ard_3-2-1_54HVJ_2019-11-28_final
2019-11-28 10:16:27	ga_s2bm_ard_3-2-1_54HUH_2019-11-28_final
2019-11-28 10:16:44	ga_s2bm_ard_3-2-1_54HTG_2019-11-28_final
2019-11-28 10:16:48	ga_s2bm_ard_3-2-1_53HQB_2019-11-28_final
2019-11-28 11:51:23	ga_s2bm_ard_3-2-1_51LUE_2019-11-28_final
2019-11-28 11:51:30	ga_s2bm_ard_3-2-1_51LUE_2019-11-28_final
2019-11-28 11:52:15	ga_s2bm_ard_3-2-1_50KQG_2019-11-28_final.stac-item
2019-11-28 11:52:30	ga_s2bm_ard_3-2-1_50KQF_2019-11-28_final.stac-item
2019-11-28 11:52:44	ga_s2bm_ard_3-2-1_50KQE_2019-11-28_final.stac-item
2019-11-28 11:53:02	ga_s2bm_ard_3-2-1_50KPD_2019-11-28_final.stac-item
2019-11-28 11:53:07	ga_s2bm_ard_3-2-1_50KRC_2019-11-28_final
2019-11-28 11:53:17	ga_s2bm_ard_3-2-1_50KPC_2019-11-28_final
2019-11-28 11:53:20	ga_s2bm_ard_3-2-1_50KNC_2019-11-28_final
2019-11-28 11:53:27	ga_s2bm_ard_3-2-1_50KMC_2019-11-28_final
2019-11-28 11:53:27	ga_s2bm_ard_3-2-1_50KQB_2019-11-28_final
2019-11-28 11:53:31	ga_s2bm_ard_3-2-1_50KPB_2019-11-28_final
2019-11-28 11:53:35	ga_s2bm_ard_3-2-1_50KNB_2019-11-28_final
2019-11-28 11:53:38	ga_s2bm_ard_3-2-1_50KMB_2019-11-28_final
2019-11-28 11:53:46	ga_s2bm_ard_3-2-1_50KPA_2019-11-28_final
2019-11-28 11:53:49	ga_s2bm_ard_3-2-1_50KNA_2019-11-28_final
2019-11-28 11:53:52	ga_s2bm_ard_3-2-1_50KMA_2019-11-28_final
2019-11-28 11:54:04	ga_s2bm_ard_3-2-1_50KNV_2019-11-28_final
2019-11-28 11:54:07	ga_s2bm_ard_3-2-1_50KMV_2019-11-28_final
2019-11-28 11:54:09	ga_s2bm_ard_3-2-1_50KQU_2019-11-28_final
2019-11-28 11:54:15	ga_s2bm_ard_3-2-1_50KPU_2019-11-28_final
2019-11-28 11:54:18	ga_s2bm_ard_3-2-1_50KNU_2019-11-28_final
2019-11-28 11:54:19	ga_s2bm_ard_3-2-1_50JQT_2019-11-28_final
2019-11-28 11:54:22	ga_s2bm_ard_3-2-1_50KMU_2019-11-28_final
2019-11-28 11:54:29	ga_s2bm_ard_3-2-1_50JPT_2019-11-28_final
2019-11-28 11:54:33	ga_s2bm_ard_3-2-1_50JNT_2019-11-28_final
2019-11-28 11:54:36	ga_s2bm_ard_3-2-1_50JMT_2019-11-28_final
2019-11-28 11:54:40	ga_s2bm_ard_3-2-1_50JLT_2019-11-28_final
2019-11-28 11:54:44	ga_s2bm_ard_3-2-1_50JPS_2019-11-28_final
2019-11-28 11:54:47	ga_s2bm_ard_3-2-1_50JNS_2019-11-28_final
2019-11-28 11:54:51	ga_s2bm_ard_3-2-1_50JMS_2019-11-28_final
2019-11-28 11:54:54	ga_s2bm_ard_3-2-1_50JLS_2019-11-28_final
2019-11-28 11:56:07	ga_s2bm_ard_3-2-1_50JLM_2019-11-28_final
2019-11-28 11:56:47	ga_s2bm_ard_3-2-1_50HMJ_2019-11-28_final

Return to ga_s2bm_ard_3 on 28th November 2019 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

2019

November

28th