Search ga_s2bm_ard_3 on 2nd September 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
2019-09-02 10:20:09	ga_s2bm_ard_3-2-1_54LZN_2019-09-02_final
2019-09-02 10:20:13	ga_s2bm_ard_3-2-1_54LYN_2019-09-02_final
2019-09-02 10:20:17	ga_s2bm_ard_3-2-1_54LXN_2019-09-02_final
2019-09-02 10:20:28	ga_s2bm_ard_3-2-1_54LYM_2019-09-02_final
2019-09-02 10:20:34	ga_s2bm_ard_3-2-1_54LWM_2019-09-02_final
2019-09-02 10:20:39	ga_s2bm_ard_3-2-1_54LZL_2019-09-02_final
2019-09-02 10:20:42	ga_s2bm_ard_3-2-1_54LYL_2019-09-02_final
2019-09-02 10:20:46	ga_s2bm_ard_3-2-1_54LXL_2019-09-02_final
2019-09-02 10:20:49	ga_s2bm_ard_3-2-1_54LWL_2019-09-02_final
2019-09-02 10:20:52	ga_s2bm_ard_3-2-1_54LZK_2019-09-02_final
2019-09-02 10:20:57	ga_s2bm_ard_3-2-1_54LYK_2019-09-02_final
2019-09-02 10:21:04	ga_s2bm_ard_3-2-1_54LZJ_2019-09-02_final
2019-09-02 10:21:11	ga_s2bm_ard_3-2-1_54LYJ_2019-09-02_final
2019-09-02 10:21:15	ga_s2bm_ard_3-2-1_54LXJ_2019-09-02_final
2019-09-02 10:21:18	ga_s2bm_ard_3-2-1_54LWJ_2019-09-02_final
2019-09-02 10:21:24	ga_s2bm_ard_3-2-1_54LVJ_2019-09-02_final.stac-item
2019-09-02 10:21:25	ga_s2bm_ard_3-2-1_54LYH_2019-09-02_final
2019-09-02 10:21:29	ga_s2bm_ard_3-2-1_54LXH_2019-09-02_final
2019-09-02 10:21:32	ga_s2bm_ard_3-2-1_54LWH_2019-09-02_final
2019-09-02 10:21:36	ga_s2bm_ard_3-2-1_54LVH_2019-09-02_final
2019-09-02 10:21:44	ga_s2bm_ard_3-2-1_54KXG_2019-09-02_final
2019-09-02 10:21:47	ga_s2bm_ard_3-2-1_54KWG_2019-09-02_final
2019-09-02 10:21:50	ga_s2bm_ard_3-2-1_54KVG_2019-09-02_final
2019-09-02 10:21:58	ga_s2bm_ard_3-2-1_54KXF_2019-09-02_final
2019-09-02 10:22:02	ga_s2bm_ard_3-2-1_54KWF_2019-09-02_final
2019-09-02 10:22:05	ga_s2bm_ard_3-2-1_54KVF_2019-09-02_final
2019-09-02 10:22:12	ga_s2bm_ard_3-2-1_54KXE_2019-09-02_final
2019-09-02 10:22:16	ga_s2bm_ard_3-2-1_54KWE_2019-09-02_final
2019-09-02 10:22:17	ga_s2bm_ard_3-2-1_54KYD_2019-09-02_final
2019-09-02 10:22:19	ga_s2bm_ard_3-2-1_54KVE_2019-09-02_final
2019-09-02 10:22:27	ga_s2bm_ard_3-2-1_54KXD_2019-09-02_final
2019-09-02 10:22:31	ga_s2bm_ard_3-2-1_54KWD_2019-09-02_final
2019-09-02 10:22:34	ga_s2bm_ard_3-2-1_54KVD_2019-09-02_final
2019-09-02 10:22:38	ga_s2bm_ard_3-2-1_54KUD_2019-09-02_final
2019-09-02 10:22:56	ga_s2bm_ard_3-2-1_54KXB_2019-09-02_final
2019-09-02 10:23:00	ga_s2bm_ard_3-2-1_54KWB_2019-09-02_final
2019-09-02 10:23:02	ga_s2bm_ard_3-2-1_54KVB_2019-09-02_final
2019-09-02 10:23:04	ga_s2bm_ard_3-2-1_54KUB_2019-09-02_final
2019-09-02 10:23:07	ga_s2bm_ard_3-2-1_54KWB_2019-09-02_final
2019-09-02 10:23:08	ga_s2bm_ard_3-2-1_54KWA_2019-09-02_final
2019-09-02 10:23:09	ga_s2bm_ard_3-2-1_54KVB_2019-09-02_final
2019-09-02 10:23:09	ga_s2bm_ard_3-2-1_54KVA_2019-09-02_final
2019-09-02 10:23:10	ga_s2bm_ard_3-2-1_54KUB_2019-09-02_final
2019-09-02 10:23:14	ga_s2bm_ard_3-2-1_54KWA_2019-09-02_final
2019-09-02 10:23:18	ga_s2bm_ard_3-2-1_54KVA_2019-09-02_final
2019-09-02 10:23:28	ga_s2bm_ard_3-2-1_54KWV_2019-09-02_final
2019-09-02 10:23:32	ga_s2bm_ard_3-2-1_54KVV_2019-09-02_final
2019-09-02 10:23:40	ga_s2bm_ard_3-2-1_54KTV_2019-09-02_final
2019-09-02 10:23:43	ga_s2bm_ard_3-2-1_54KWU_2019-09-02_final
2019-09-02 10:23:43	ga_s2bm_ard_3-2-1_53KRQ_2019-09-02_final
2019-09-02 10:23:47	ga_s2bm_ard_3-2-1_54KVU_2019-09-02_final
2019-09-02 10:23:50	ga_s2bm_ard_3-2-1_54KUU_2019-09-02_final
2019-09-02 10:23:53	ga_s2bm_ard_3-2-1_54KTU_2019-09-02_final
2019-09-02 10:23:54	ga_s2bm_ard_3-2-1_53KRP_2019-09-02_final
2019-09-02 10:24:07	ga_s2bm_ard_3-2-1_53JRN_2019-09-02_final
2019-09-02 10:24:07	ga_s2bm_ard_3-2-1_54JTT_2019-09-02_final
2019-09-02 10:24:12	ga_s2bm_ard_3-2-1_54JWS_2019-09-02_final
2019-09-02 10:24:16	ga_s2bm_ard_3-2-1_54JVS_2019-09-02_final
2019-09-02 10:24:19	ga_s2bm_ard_3-2-1_54JUS_2019-09-02_final
2019-09-02 10:24:22	ga_s2bm_ard_3-2-1_53JRM_2019-09-02_final
2019-09-02 10:24:22	ga_s2bm_ard_3-2-1_54JTS_2019-09-02_final
2019-09-02 10:24:59	ga_s2bm_ard_3-2-1_54JVP_2019-09-02_final
2019-09-02 10:25:50	ga_s2bm_ard_3-2-1_54JTL_2019-09-02_final
2019-09-02 10:25:52	ga_s2bm_ard_3-2-1_53JQF_2019-09-02_final
2019-09-02 10:26:48	ga_s2bm_ard_3-2-1_54HTG_2019-09-02_final
2019-09-02 10:26:50	ga_s2bm_ard_3-2-1_53HQB_2019-09-02_final
2019-09-02 10:27:15	ga_s2bm_ard_3-2-1_54HTE_2019-09-02_final.stac-item
2019-09-02 10:27:16	ga_s2bm_ard_3-2-1_53HQV_2019-09-02_final.stac-item
2019-09-02 10:27:18	ga_s2bm_ard_3-2-1_53HPV_2019-09-02_final.stac-item
2019-09-02 12:03:23	ga_s2bm_ard_3-2-1_50KNC_2019-09-02_final
2019-09-02 12:03:36	ga_s2bm_ard_3-2-1_50KNB_2019-09-02_final
2019-09-02 12:03:41	ga_s2bm_ard_3-2-1_50KMB_2019-09-02_final
2019-09-02 12:03:44	ga_s2bm_ard_3-2-1_50KLB_2019-09-02_final
2019-09-02 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2019-09-02_final
2019-09-02 12:03:46	ga_s2bm_ard_3-2-1_49KHS_2019-09-02_final.stac-item
2019-09-02 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2019-09-02_final
2019-09-02 12:03:50	ga_s2bm_ard_3-2-1_50KNA_2019-09-02_final
2019-09-02 12:03:51	ga_s2bm_ard_3-2-1_50KLB_2019-09-02_final
2019-09-02 12:03:52	ga_s2bm_ard_3-2-1_50KKA_2019-09-02_final
2019-09-02 12:03:53	ga_s2bm_ard_3-2-1_50KKB_2019-09-02_final
2019-09-02 12:03:53	ga_s2bm_ard_3-2-1_49KHS_2019-09-02_final.stac-item
2019-09-02 12:03:53	ga_s2bm_ard_3-2-1_49KHR_2019-09-02_final
2019-09-02 12:03:57	ga_s2bm_ard_3-2-1_50KMA_2019-09-02_final
2019-09-02 12:04:02	ga_s2bm_ard_3-2-1_50KKA_2019-09-02_final
2019-09-02 12:04:02	ga_s2bm_ard_3-2-1_49KHR_2019-09-02_final
2019-09-02 12:04:10	ga_s2bm_ard_3-2-1_50KMV_2019-09-02_final
2019-09-02 12:04:17	ga_s2bm_ard_3-2-1_49KHQ_2019-09-02_final
2019-09-02 12:04:21	ga_s2bm_ard_3-2-1_49KGQ_2019-09-02_final
2019-09-02 12:04:25	ga_s2bm_ard_3-2-1_50KMU_2019-09-02_final
2019-09-02 12:04:28	ga_s2bm_ard_3-2-1_50KLU_2019-09-02_final
2019-09-02 12:04:31	ga_s2bm_ard_3-2-1_49KHP_2019-09-02_final
2019-09-02 12:04:31	ga_s2bm_ard_3-2-1_50KKU_2019-09-02_final
2019-09-02 12:04:34	ga_s2bm_ard_3-2-1_49KGP_2019-09-02_final
2019-09-02 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2019-09-02_final
2019-09-02 12:04:46	ga_s2bm_ard_3-2-1_50JKT_2019-09-02_final
2019-09-02 12:04:49	ga_s2bm_ard_3-2-1_49JGN_2019-09-02_final
2019-09-02 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2019-09-02_final
2019-09-02 12:04:57	ga_s2bm_ard_3-2-1_50JLS_2019-09-02_final
2019-09-02 12:05:00	ga_s2bm_ard_3-2-1_49JHM_2019-09-02_final
2019-09-02 12:05:00	ga_s2bm_ard_3-2-1_50JKS_2019-09-02_final

Return to ga_s2bm_ard_3 on 2nd September 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

September

2nd