Search ga_s2bm_ard_3 on 4th April 2021

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
2021-04-04 10:19:36	ga_s2bm_ard_3-2-1_54LZQ_2021-04-04_final
2021-04-04 10:19:39	ga_s2bm_ard_3-2-1_54LYQ_2021-04-04_final
2021-04-04 10:19:42	ga_s2bm_ard_3-2-1_54LXQ_2021-04-04_final
2021-04-04 10:19:50	ga_s2bm_ard_3-2-1_54LZP_2021-04-04_final
2021-04-04 10:19:53	ga_s2bm_ard_3-2-1_54LYP_2021-04-04_final
2021-04-04 10:19:57	ga_s2bm_ard_3-2-1_54LXP_2021-04-04_final
2021-04-04 10:20:11	ga_s2bm_ard_3-2-1_54LXN_2021-04-04_final
2021-04-04 10:20:16	ga_s2bm_ard_3-2-1_54LWN_2021-04-04_final
2021-04-04 10:20:19	ga_s2bm_ard_3-2-1_54LZM_2021-04-04_final
2021-04-04 10:20:22	ga_s2bm_ard_3-2-1_54LYM_2021-04-04_final
2021-04-04 10:20:26	ga_s2bm_ard_3-2-1_54LXM_2021-04-04_final
2021-04-04 10:20:29	ga_s2bm_ard_3-2-1_54LWM_2021-04-04_final
2021-04-04 10:20:47	ga_s2bm_ard_3-2-1_54LZK_2021-04-04_final
2021-04-04 10:20:51	ga_s2bm_ard_3-2-1_54LYK_2021-04-04_final
2021-04-04 10:20:55	ga_s2bm_ard_3-2-1_54LXK_2021-04-04_final
2021-04-04 10:20:59	ga_s2bm_ard_3-2-1_54LZJ_2021-04-04_final
2021-04-04 10:21:05	ga_s2bm_ard_3-2-1_54LYJ_2021-04-04_final
2021-04-04 10:21:20	ga_s2bm_ard_3-2-1_54LYH_2021-04-04_final
2021-04-04 10:21:24	ga_s2bm_ard_3-2-1_54LXH_2021-04-04_final
2021-04-04 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2021-04-04_final
2021-04-04 10:21:31	ga_s2bm_ard_3-2-1_54LVH_2021-04-04_final
2021-04-04 10:21:45	ga_s2bm_ard_3-2-1_54KVG_2021-04-04_final
2021-04-04 10:21:53	ga_s2bm_ard_3-2-1_54KXF_2021-04-04_final
2021-04-04 10:21:56	ga_s2bm_ard_3-2-1_54KWF_2021-04-04_final
2021-04-04 10:22:02	ga_s2bm_ard_3-2-1_54KYE_2021-04-04_final
2021-04-04 10:22:11	ga_s2bm_ard_3-2-1_54KWE_2021-04-04_final
2021-04-04 10:22:12	ga_s2bm_ard_3-2-1_54KYD_2021-04-04_final
2021-04-04 10:22:14	ga_s2bm_ard_3-2-1_54KVE_2021-04-04_final
2021-04-04 10:22:21	ga_s2bm_ard_3-2-1_54KXD_2021-04-04_final
2021-04-04 10:22:32	ga_s2bm_ard_3-2-1_54KUD_2021-04-04_final
2021-04-04 10:22:36	ga_s2bm_ard_3-2-1_54KXC_2021-04-04_final
2021-04-04 10:22:40	ga_s2bm_ard_3-2-1_54KWC_2021-04-04_final
2021-04-04 10:22:43	ga_s2bm_ard_3-2-1_54KVC_2021-04-04_final
2021-04-04 10:22:46	ga_s2bm_ard_3-2-1_54KUC_2021-04-04_final
2021-04-04 10:22:58	ga_s2bm_ard_3-2-1_54KVB_2021-04-04_final
2021-04-04 10:23:01	ga_s2bm_ard_3-2-1_54KUB_2021-04-04_final
2021-04-04 10:23:04	ga_s2bm_ard_3-2-1_54KXA_2021-04-04_final
2021-04-04 10:23:15	ga_s2bm_ard_3-2-1_54KXV_2021-04-04_final
2021-04-04 10:23:15	ga_s2bm_ard_3-2-1_54KUA_2021-04-04_final
2021-04-04 10:23:27	ga_s2bm_ard_3-2-1_54KVV_2021-04-04_final
2021-04-04 10:23:30	ga_s2bm_ard_3-2-1_54KUV_2021-04-04_final
2021-04-04 10:23:38	ga_s2bm_ard_3-2-1_54KWU_2021-04-04_final
2021-04-04 10:23:41	ga_s2bm_ard_3-2-1_54KVU_2021-04-04_final
2021-04-04 10:23:48	ga_s2bm_ard_3-2-1_54KTU_2021-04-04_final
2021-04-04 10:23:48	ga_s2bm_ard_3-2-1_53KRP_2021-04-04_final
2021-04-04 10:24:25	ga_s2bm_ard_3-2-1_54JVR_2021-04-04_final
2021-04-04 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2021-04-04_final
2021-04-04 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2021-04-04_final
2021-04-04 10:24:53	ga_s2bm_ard_3-2-1_54JUP_2021-04-04_final
2021-04-04 10:24:59	ga_s2bm_ard_3-2-1_54JUP_2021-04-04_final
2021-04-04 10:25:12	ga_s2bm_ard_3-2-1_54JUN_2021-04-04_final
2021-04-04 10:25:26	ga_s2bm_ard_3-2-1_54JUM_2021-04-04_final
2021-04-04 10:25:30	ga_s2bm_ard_3-2-1_54JTM_2021-04-04_final
2021-04-04 10:25:32	ga_s2bm_ard_3-2-1_53JQG_2021-04-04_final
2021-04-04 10:25:38	ga_s2bm_ard_3-2-1_53JPG_2021-04-04_final
2021-04-04 10:25:41	ga_s2bm_ard_3-2-1_54JUL_2021-04-04_final
2021-04-04 10:25:44	ga_s2bm_ard_3-2-1_54JTL_2021-04-04_final
2021-04-04 10:25:47	ga_s2bm_ard_3-2-1_53JQF_2021-04-04_final
2021-04-04 10:25:55	ga_s2bm_ard_3-2-1_54HUK_2021-04-04_final
2021-04-04 10:26:05	ga_s2bm_ard_3-2-1_53HPE_2021-04-04_final
2021-04-04 10:26:10	ga_s2bm_ard_3-2-1_54HUJ_2021-04-04_final
2021-04-04 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2021-04-04_final
2021-04-04 10:26:25	ga_s2bm_ard_3-2-1_54HUH_2021-04-04_final
2021-04-04 10:26:34	ga_s2bm_ard_3-2-1_53HPC_2021-04-04_final
2021-04-04 10:26:42	ga_s2bm_ard_3-2-1_54HTG_2021-04-04_final
2021-04-04 10:26:44	ga_s2bm_ard_3-2-1_53HQB_2021-04-04_final
2021-04-04 10:26:49	ga_s2bm_ard_3-2-1_54HUF_2021-04-04_final
2021-04-04 10:27:03	ga_s2bm_ard_3-2-1_53HPA_2021-04-04_final
2021-04-04 10:27:13	ga_s2bm_ard_3-2-1_53HPV_2021-04-04_final.stac-item
2021-04-04 12:03:18	ga_s2bm_ard_3-2-1_50KNC_2021-04-04_final
2021-04-04 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2021-04-04_final
2021-04-04 12:03:24	ga_s2bm_ard_3-2-1_50KLC_2021-04-04_final
2021-04-04 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2021-04-04_final
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_50KKB_2021-04-04_final
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_50KNA_2021-04-04_final
2021-04-04 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2021-04-04_final.stac-item
2021-04-04 12:03:53	ga_s2bm_ard_3-2-1_50KLA_2021-04-04_final
2021-04-04 12:03:56	ga_s2bm_ard_3-2-1_50KKA_2021-04-04_final
2021-04-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2021-04-04_final
2021-04-04 12:04:04	ga_s2bm_ard_3-2-1_50KMV_2021-04-04_final
2021-04-04 12:04:08	ga_s2bm_ard_3-2-1_50KLV_2021-04-04_final
2021-04-04 12:04:16	ga_s2bm_ard_3-2-1_50KMU_2021-04-04_final
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_50KKU_2021-04-04_final
2021-04-04 12:04:19	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final
2021-04-04 12:04:22	ga_s2bm_ard_3-2-1_50KMU_2021-04-04_final
2021-04-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2021-04-04_final
2021-04-04 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2021-04-04_final
2021-04-04 12:04:39	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-04-04 12:04:42	ga_s2bm_ard_3-2-1_50JMS_2021-04-04_final
2021-04-04 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2021-04-04_final
2021-04-04 12:04:47	ga_s2bm_ard_3-2-1_50JMS_2021-04-04_final
2021-04-04 12:04:58	ga_s2bm_ard_3-2-1_49JGM_2021-04-04_final
2021-04-04 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2021-04-04_final
2021-04-04 12:05:13	ga_s2bm_ard_3-2-1_49JGL_2021-04-04_final
2021-04-04 12:05:21	ga_s2bm_ard_3-2-1_50JLQ_2021-04-04_final
2021-04-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2021-04-04_final
2021-04-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2021-04-04_final
2021-04-04 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2021-04-04_final
2021-04-04 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2021-04-04_final
2021-04-04 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2021-04-04_final

Return to ga_s2bm_ard_3 on 4th April 2021 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

2021

April

4th