Search ga_s2bm_ard_3 on 29th 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
2019-11-29 09:41:19	ga_s2bm_ard_3-2-1_56KMG_2019-11-29_final.stac-item
2019-11-29 09:41:34	ga_s2bm_ard_3-2-1_56KMF_2019-11-29_final.stac-item
2019-11-29 09:41:37	ga_s2bm_ard_3-2-1_56KLF_2019-11-29_final
2019-11-29 09:42:02	ga_s2bm_ard_3-2-1_56KMD_2019-11-29_final.stac-item
2019-11-29 09:42:06	ga_s2bm_ard_3-2-1_56KLD_2019-11-29_final
2019-11-29 09:42:39	ga_s2bm_ard_3-2-1_55KHS_2019-11-29_final
2019-11-29 09:42:50	ga_s2bm_ard_3-2-1_56KLA_2019-11-29_final
2019-11-29 09:42:53	ga_s2bm_ard_3-2-1_55KHR_2019-11-29_final
2019-11-29 09:43:22	ga_s2bm_ard_3-2-1_55KHP_2019-11-29_final
2019-11-29 09:44:06	ga_s2bm_ard_3-2-1_56JKR_2019-11-29_final
2019-11-29 09:44:09	ga_s2bm_ard_3-2-1_55JGL_2019-11-29_final
2019-11-29 09:44:12	ga_s2bm_ard_3-2-1_56JLQ_2019-11-29_final
2019-11-29 09:44:20	ga_s2bm_ard_3-2-1_56JKQ_2019-11-29_final
2019-11-29 09:44:24	ga_s2bm_ard_3-2-1_55JGK_2019-11-29_final
2019-11-29 09:44:27	ga_s2bm_ard_3-2-1_55JFK_2019-11-29_final
2019-11-29 09:44:35	ga_s2bm_ard_3-2-1_56JKP_2019-11-29_final
2019-11-29 09:44:38	ga_s2bm_ard_3-2-1_55JGJ_2019-11-29_final
2019-11-29 09:44:56	ga_s2bm_ard_3-2-1_55JFH_2019-11-29_final
2019-11-29 09:45:00	ga_s2bm_ard_3-2-1_55JEH_2019-11-29_final
2019-11-29 09:45:04	ga_s2bm_ard_3-2-1_56JKM_2019-11-29_final
2019-11-29 09:45:07	ga_s2bm_ard_3-2-1_55JGG_2019-11-29_final
2019-11-29 09:45:11	ga_s2bm_ard_3-2-1_55JFG_2019-11-29_final
2019-11-29 09:45:17	ga_s2bm_ard_3-2-1_56JKL_2019-11-29_final
2019-11-29 09:45:21	ga_s2bm_ard_3-2-1_55JGF_2019-11-29_final
2019-11-29 09:45:28	ga_s2bm_ard_3-2-1_56HKK_2019-11-29_final
2019-11-29 09:45:36	ga_s2bm_ard_3-2-1_55HGE_2019-11-29_final
2019-11-29 09:45:39	ga_s2bm_ard_3-2-1_55HFE_2019-11-29_final
2019-11-29 09:45:43	ga_s2bm_ard_3-2-1_55HEE_2019-11-29_final
2019-11-29 09:45:46	ga_s2bm_ard_3-2-1_55HDE_2019-11-29_final
2019-11-29 09:46:08	ga_s2bm_ard_3-2-1_55HFC_2019-11-29_final
2019-11-29 09:46:23	ga_s2bm_ard_3-2-1_55HFB_2019-11-29_final
2019-11-29 09:46:23	ga_s2bm_ard_3-2-1_55HCC_2019-11-29_final
2019-11-29 09:47:05	ga_s2bm_ard_3-2-1_55HFU_2019-11-29_final.stac-item
2019-11-29 09:47:10	ga_s2bm_ard_3-2-1_55HEU_2019-11-29_final
2019-11-29 09:47:14	ga_s2bm_ard_3-2-1_55HDU_2019-11-29_final
2019-11-29 09:47:15	ga_s2bm_ard_3-2-1_55HFT_2019-11-29_final.stac-item
2019-11-29 09:47:17	ga_s2bm_ard_3-2-1_55HCU_2019-11-29_final
2019-11-29 09:47:24	ga_s2bm_ard_3-2-1_55HET_2019-11-29_final
2019-11-29 09:47:28	ga_s2bm_ard_3-2-1_55HDT_2019-11-29_final
2019-11-29 09:47:32	ga_s2bm_ard_3-2-1_55HCT_2019-11-29_final
2019-11-29 09:47:36	ga_s2bm_ard_3-2-1_55HBT_2019-11-29_final
2019-11-29 09:47:40	ga_s2bm_ard_3-2-1_54HYC_2019-11-29_final
2019-11-29 09:47:46	ga_s2bm_ard_3-2-1_55GER_2019-11-29_final
2019-11-29 09:47:54	ga_s2bm_ard_3-2-1_55GER_2019-11-29_final
2019-11-29 09:47:57	ga_s2bm_ard_3-2-1_55GDR_2019-11-29_final
2019-11-29 09:48:01	ga_s2bm_ard_3-2-1_55GCR_2019-11-29_final
2019-11-29 09:48:04	ga_s2bm_ard_3-2-1_55GBR_2019-11-29_final
2019-11-29 09:48:04	ga_s2bm_ard_3-2-1_54GYA_2019-11-29_final
2019-11-29 09:48:26	ga_s2bm_ard_3-2-1_55GDP_2019-11-29_final
2019-11-29 09:48:30	ga_s2bm_ard_3-2-1_55GCP_2019-11-29_final
2019-11-29 09:48:57	ga_s2bm_ard_3-2-1_55GCM_2019-11-29_final.stac-item
2019-11-29 11:21:20	ga_s2bm_ard_3-2-1_52LBK_2019-11-29_final
2019-11-29 11:21:21	ga_s2bm_ard_3-2-1_51LZE_2019-11-29_final
2019-11-29 11:21:24	ga_s2bm_ard_3-2-1_52LDJ_2019-11-29_final
2019-11-29 11:21:27	ga_s2bm_ard_3-2-1_52LBK_2019-11-29_final
2019-11-29 11:21:27	ga_s2bm_ard_3-2-1_52LBJ_2019-11-29_final
2019-11-29 11:21:27	ga_s2bm_ard_3-2-1_51LZE_2019-11-29_final
2019-11-29 11:21:28	ga_s2bm_ard_3-2-1_51LZD_2019-11-29_final
2019-11-29 11:21:31	ga_s2bm_ard_3-2-1_52LDJ_2019-11-29_final
2019-11-29 11:21:34	ga_s2bm_ard_3-2-1_52LBJ_2019-11-29_final
2019-11-29 11:21:35	ga_s2bm_ard_3-2-1_51LZD_2019-11-29_final
2019-11-29 11:21:42	ga_s2bm_ard_3-2-1_52LDH_2019-11-29_final
2019-11-29 11:21:46	ga_s2bm_ard_3-2-1_52LCH_2019-11-29_final
2019-11-29 11:21:49	ga_s2bm_ard_3-2-1_52LBH_2019-11-29_final
2019-11-29 11:21:50	ga_s2bm_ard_3-2-1_51LZC_2019-11-29_final
2019-11-29 11:21:54	ga_s2bm_ard_3-2-1_51LYC_2019-11-29_final
2019-11-29 11:21:56	ga_s2bm_ard_3-2-1_52KDG_2019-11-29_final
2019-11-29 11:22:08	ga_s2bm_ard_3-2-1_52KDF_2019-11-29_final
2019-11-29 11:22:14	ga_s2bm_ard_3-2-1_52KCF_2019-11-29_final
2019-11-29 11:22:29	ga_s2bm_ard_3-2-1_52KCE_2019-11-29_final
2019-11-29 11:22:44	ga_s2bm_ard_3-2-1_52KCD_2019-11-29_final
2019-11-29 11:22:56	ga_s2bm_ard_3-2-1_51KXU_2019-11-29_final
2019-11-29 11:23:02	ga_s2bm_ard_3-2-1_52KBC_2019-11-29_final
2019-11-29 11:23:06	ga_s2bm_ard_3-2-1_51KYT_2019-11-29_final
2019-11-29 11:23:23	ga_s2bm_ard_3-2-1_52KCA_2019-11-29_final
2019-11-29 11:23:31	ga_s2bm_ard_3-2-1_51KZR_2019-11-29_final
2019-11-29 11:23:38	ga_s2bm_ard_3-2-1_51KXR_2019-11-29_final
2019-11-29 11:23:45	ga_s2bm_ard_3-2-1_51KZQ_2019-11-29_final
2019-11-29 11:23:57	ga_s2bm_ard_3-2-1_51KWQ_2019-11-29_final
2019-11-29 11:24:10	ga_s2bm_ard_3-2-1_51KWP_2019-11-29_final
2019-11-29 11:24:39	ga_s2bm_ard_3-2-1_52JBR_2019-11-29_final
2019-11-29 11:24:47	ga_s2bm_ard_3-2-1_51JYL_2019-11-29_final
2019-11-29 11:25:01	ga_s2bm_ard_3-2-1_51JYK_2019-11-29_final
2019-11-29 11:25:05	ga_s2bm_ard_3-2-1_51JXK_2019-11-29_final
2019-11-29 11:25:16	ga_s2bm_ard_3-2-1_51JYJ_2019-11-29_final
2019-11-29 11:25:34	ga_s2bm_ard_3-2-1_51JXH_2019-11-29_final
2019-11-29 11:25:38	ga_s2bm_ard_3-2-1_51JWH_2019-11-29_final
2019-11-29 11:25:41	ga_s2bm_ard_3-2-1_51JYG_2019-11-29_final
2019-11-29 11:25:41	ga_s2bm_ard_3-2-1_51JVH_2019-11-29_final
2019-11-29 11:25:48	ga_s2bm_ard_3-2-1_51JXG_2019-11-29_final
2019-11-29 11:26:18	ga_s2bm_ard_3-2-1_51HXE_2019-11-29_final
2019-11-29 11:26:21	ga_s2bm_ard_3-2-1_51HWE_2019-11-29_final
2019-11-29 11:26:25	ga_s2bm_ard_3-2-1_51HVE_2019-11-29_final
2019-11-29 11:26:28	ga_s2bm_ard_3-2-1_51HUE_2019-11-29_final
2019-11-29 11:26:36	ga_s2bm_ard_3-2-1_51HWD_2019-11-29_final
2019-11-29 11:26:39	ga_s2bm_ard_3-2-1_51HVD_2019-11-29_final
2019-11-29 11:26:55	ga_s2bm_ard_3-2-1_51HUC_2019-11-29_final
2019-11-29 11:26:59	ga_s2bm_ard_3-2-1_51HTC_2019-11-29_final
2019-11-29 11:27:02	ga_s2bm_ard_3-2-1_51HUC_2019-11-29_final
2019-11-29 11:27:08	ga_s2bm_ard_3-2-1_51HUB_2019-11-29_final.stac-item

Return to ga_s2bm_ard_3 on 29th 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

29th