Search ga_s2bm_ard_3 on 30th March 2020

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
2020-03-30 10:19:35	ga_s2bm_ard_3-2-1_54LZQ_2020-03-30_final
2020-03-30 10:19:50	ga_s2bm_ard_3-2-1_54LZP_2020-03-30_final
2020-03-30 10:19:53	ga_s2bm_ard_3-2-1_54LYP_2020-03-30_final
2020-03-30 10:19:56	ga_s2bm_ard_3-2-1_54LXP_2020-03-30_final
2020-03-30 10:20:47	ga_s2bm_ard_3-2-1_54LZK_2020-03-30_final
2020-03-30 10:20:51	ga_s2bm_ard_3-2-1_54LYK_2020-03-30_final
2020-03-30 10:21:12	ga_s2bm_ard_3-2-1_54LWJ_2020-03-30_final
2020-03-30 10:21:19	ga_s2bm_ard_3-2-1_54LVJ_2020-03-30_final.stac-item
2020-03-30 10:21:20	ga_s2bm_ard_3-2-1_54LYH_2020-03-30_final
2020-03-30 10:21:24	ga_s2bm_ard_3-2-1_54LXH_2020-03-30_final
2020-03-30 10:21:27	ga_s2bm_ard_3-2-1_54LWH_2020-03-30_final
2020-03-30 10:21:30	ga_s2bm_ard_3-2-1_54LVH_2020-03-30_final
2020-03-30 10:21:38	ga_s2bm_ard_3-2-1_54KXG_2020-03-30_final
2020-03-30 10:21:41	ga_s2bm_ard_3-2-1_54KWG_2020-03-30_final
2020-03-30 10:21:44	ga_s2bm_ard_3-2-1_54KVG_2020-03-30_final
2020-03-30 10:21:53	ga_s2bm_ard_3-2-1_54KXF_2020-03-30_final
2020-03-30 10:21:56	ga_s2bm_ard_3-2-1_54KWF_2020-03-30_final
2020-03-30 10:21:59	ga_s2bm_ard_3-2-1_54KVF_2020-03-30_final
2020-03-30 10:22:07	ga_s2bm_ard_3-2-1_54KXE_2020-03-30_final
2020-03-30 10:22:10	ga_s2bm_ard_3-2-1_54KWE_2020-03-30_final
2020-03-30 10:22:14	ga_s2bm_ard_3-2-1_54KVE_2020-03-30_final
2020-03-30 10:22:21	ga_s2bm_ard_3-2-1_54KXD_2020-03-30_final
2020-03-30 10:22:25	ga_s2bm_ard_3-2-1_54KWD_2020-03-30_final
2020-03-30 10:22:28	ga_s2bm_ard_3-2-1_54KVD_2020-03-30_final
2020-03-30 10:22:32	ga_s2bm_ard_3-2-1_54KUD_2020-03-30_final
2020-03-30 10:22:36	ga_s2bm_ard_3-2-1_54KXC_2020-03-30_final
2020-03-30 10:22:43	ga_s2bm_ard_3-2-1_54KVC_2020-03-30_final
2020-03-30 10:22:46	ga_s2bm_ard_3-2-1_54KUC_2020-03-30_final
2020-03-30 10:22:56	ga_s2bm_ard_3-2-1_54KVB_2020-03-30_final
2020-03-30 10:22:58	ga_s2bm_ard_3-2-1_54KUB_2020-03-30_final
2020-03-30 10:23:03	ga_s2bm_ard_3-2-1_54KVB_2020-03-30_final
2020-03-30 10:23:03	ga_s2bm_ard_3-2-1_54KVA_2020-03-30_final
2020-03-30 10:23:05	ga_s2bm_ard_3-2-1_54KUB_2020-03-30_final
2020-03-30 10:23:37	ga_s2bm_ard_3-2-1_54KWU_2020-03-30_final
2020-03-30 10:23:48	ga_s2bm_ard_3-2-1_53KRP_2020-03-30_final
2020-03-30 10:24:01	ga_s2bm_ard_3-2-1_53JRN_2020-03-30_final
2020-03-30 10:24:31	ga_s2bm_ard_3-2-1_54JTR_2020-03-30_final
2020-03-30 10:24:38	ga_s2bm_ard_3-2-1_53JQL_2020-03-30_final
2020-03-30 10:24:43	ga_s2bm_ard_3-2-1_54JUQ_2020-03-30_final
2020-03-30 10:24:46	ga_s2bm_ard_3-2-1_54JTQ_2020-03-30_final
2020-03-30 10:24:49	ga_s2bm_ard_3-2-1_53JQK_2020-03-30_final
2020-03-30 10:24:57	ga_s2bm_ard_3-2-1_54JUP_2020-03-30_final
2020-03-30 10:25:00	ga_s2bm_ard_3-2-1_54JTP_2020-03-30_final
2020-03-30 10:25:03	ga_s2bm_ard_3-2-1_53JQJ_2020-03-30_final
2020-03-30 10:25:12	ga_s2bm_ard_3-2-1_54JUN_2020-03-30_final
2020-03-30 10:25:15	ga_s2bm_ard_3-2-1_54JTN_2020-03-30_final
2020-03-30 10:25:18	ga_s2bm_ard_3-2-1_53JQH_2020-03-30_final
2020-03-30 10:25:26	ga_s2bm_ard_3-2-1_54JUM_2020-03-30_final
2020-03-30 10:25:29	ga_s2bm_ard_3-2-1_54JTM_2020-03-30_final
2020-03-30 10:25:32	ga_s2bm_ard_3-2-1_53JQG_2020-03-30_final
2020-03-30 10:25:33	ga_s2bm_ard_3-2-1_54JVL_2020-03-30_final
2020-03-30 10:25:38	ga_s2bm_ard_3-2-1_53JPG_2020-03-30_final
2020-03-30 10:25:40	ga_s2bm_ard_3-2-1_54JUL_2020-03-30_final
2020-03-30 10:25:44	ga_s2bm_ard_3-2-1_54JTL_2020-03-30_final
2020-03-30 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2020-03-30_final
2020-03-30 10:25:50	ga_s2bm_ard_3-2-1_53JPF_2020-03-30_final
2020-03-30 10:25:55	ga_s2bm_ard_3-2-1_54HUK_2020-03-30_final
2020-03-30 10:25:59	ga_s2bm_ard_3-2-1_54HTK_2020-03-30_final
2020-03-30 10:26:01	ga_s2bm_ard_3-2-1_53HQE_2020-03-30_final
2020-03-30 10:26:04	ga_s2bm_ard_3-2-1_53HPE_2020-03-30_final
2020-03-30 10:26:10	ga_s2bm_ard_3-2-1_54HUJ_2020-03-30_final
2020-03-30 10:26:13	ga_s2bm_ard_3-2-1_54HTJ_2020-03-30_final
2020-03-30 10:26:15	ga_s2bm_ard_3-2-1_53HQD_2020-03-30_final
2020-03-30 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2020-03-30_final
2020-03-30 10:26:24	ga_s2bm_ard_3-2-1_54HUH_2020-03-30_final
2020-03-30 10:26:28	ga_s2bm_ard_3-2-1_54HTH_2020-03-30_final
2020-03-30 10:26:30	ga_s2bm_ard_3-2-1_53HQC_2020-03-30_final
2020-03-30 10:26:33	ga_s2bm_ard_3-2-1_53HPC_2020-03-30_final
2020-03-30 10:26:38	ga_s2bm_ard_3-2-1_54HUG_2020-03-30_final
2020-03-30 10:26:48	ga_s2bm_ard_3-2-1_53HPB_2020-03-30_final
2020-03-30 10:26:49	ga_s2bm_ard_3-2-1_54HUF_2020-03-30_final
2020-03-30 10:26:51	ga_s2bm_ard_3-2-1_53HNB_2020-03-30_final
2020-03-30 10:26:57	ga_s2bm_ard_3-2-1_54HTF_2020-03-30_final
2020-03-30 10:26:59	ga_s2bm_ard_3-2-1_53HQA_2020-03-30_final
2020-03-30 10:27:02	ga_s2bm_ard_3-2-1_53HPA_2020-03-30_final
2020-03-30 10:27:09	ga_s2bm_ard_3-2-1_54HTE_2020-03-30_final.stac-item
2020-03-30 10:27:10	ga_s2bm_ard_3-2-1_53HQV_2020-03-30_final.stac-item
2020-03-30 10:27:12	ga_s2bm_ard_3-2-1_53HPV_2020-03-30_final.stac-item
2020-03-30 12:03:17	ga_s2bm_ard_3-2-1_50KNC_2020-03-30_final
2020-03-30 12:03:21	ga_s2bm_ard_3-2-1_50KMC_2020-03-30_final
2020-03-30 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2020-03-30_final
2020-03-30 12:03:35	ga_s2bm_ard_3-2-1_50KMB_2020-03-30_final
2020-03-30 12:03:42	ga_s2bm_ard_3-2-1_49KHS_2020-03-30_final.stac-item
2020-03-30 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2020-03-30_final
2020-03-30 12:04:11	ga_s2bm_ard_3-2-1_49KHQ_2020-03-30_final
2020-03-30 12:04:25	ga_s2bm_ard_3-2-1_49KHP_2020-03-30_final
2020-03-30 12:04:40	ga_s2bm_ard_3-2-1_49JHN_2020-03-30_final
2020-03-30 12:05:09	ga_s2bm_ard_3-2-1_50JKR_2020-03-30_final
2020-03-30 12:05:12	ga_s2bm_ard_3-2-1_49JGL_2020-03-30_final
2020-03-30 12:05:20	ga_s2bm_ard_3-2-1_50JLQ_2020-03-30_final
2020-03-30 12:05:24	ga_s2bm_ard_3-2-1_50JKQ_2020-03-30_final
2020-03-30 12:05:27	ga_s2bm_ard_3-2-1_49JGK_2020-03-30_final
2020-03-30 12:05:35	ga_s2bm_ard_3-2-1_50JLP_2020-03-30_final
2020-03-30 12:05:38	ga_s2bm_ard_3-2-1_50JKP_2020-03-30_final
2020-03-30 12:05:41	ga_s2bm_ard_3-2-1_49JGJ_2020-03-30_final
2020-03-30 12:05:49	ga_s2bm_ard_3-2-1_50JLN_2020-03-30_final
2020-03-30 12:05:53	ga_s2bm_ard_3-2-1_50JKN_2020-03-30_final
2020-03-30 12:05:56	ga_s2bm_ard_3-2-1_49JGH_2020-03-30_final.stac-item
2020-03-30 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2020-03-30_final
2020-03-30 12:06:07	ga_s2bm_ard_3-2-1_50JKM_2020-03-30_final

Return to ga_s2bm_ard_3 on 30th March 2020 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

2020

March

30th