Search ga_s2bm_ard_3 on 30th 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
2019-09-30 09:41:24	ga_s2bm_ard_3-2-1_56KMG_2019-09-30_final.stac-item
2019-09-30 09:41:30	ga_s2bm_ard_3-2-1_56KKG_2019-09-30_final.stac-item
2019-09-30 09:41:33	ga_s2bm_ard_3-2-1_55KHB_2019-09-30_final.stac-item
2019-09-30 09:41:42	ga_s2bm_ard_3-2-1_56KLF_2019-09-30_final
2019-09-30 09:42:07	ga_s2bm_ard_3-2-1_56KMD_2019-09-30_final.stac-item
2019-09-30 09:42:58	ga_s2bm_ard_3-2-1_55KHR_2019-09-30_final
2019-09-30 09:43:12	ga_s2bm_ard_3-2-1_55KHQ_2019-09-30_final
2019-09-30 09:43:38	ga_s2bm_ard_3-2-1_56JLT_2019-09-30_final
2019-09-30 09:43:41	ga_s2bm_ard_3-2-1_55JHN_2019-09-30_final
2019-09-30 09:43:48	ga_s2bm_ard_3-2-1_55JFN_2019-09-30_final
2019-09-30 09:43:53	ga_s2bm_ard_3-2-1_56JLS_2019-09-30_final
2019-09-30 09:43:56	ga_s2bm_ard_3-2-1_55JHM_2019-09-30_final
2019-09-30 09:44:10	ga_s2bm_ard_3-2-1_56JKR_2019-09-30_final
2019-09-30 09:44:14	ga_s2bm_ard_3-2-1_55JGL_2019-09-30_final
2019-09-30 09:44:32	ga_s2bm_ard_3-2-1_55JFK_2019-09-30_final
2019-09-30 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2019-09-30_final
2019-09-30 09:44:40	ga_s2bm_ard_3-2-1_56JKP_2019-09-30_final
2019-09-30 09:44:43	ga_s2bm_ard_3-2-1_55JGJ_2019-09-30_final
2019-09-30 09:45:04	ga_s2bm_ard_3-2-1_55JEH_2019-09-30_final
2019-09-30 09:45:15	ga_s2bm_ard_3-2-1_55JFG_2019-09-30_final
2019-09-30 09:45:22	ga_s2bm_ard_3-2-1_56JKL_2019-09-30_final
2019-09-30 09:45:26	ga_s2bm_ard_3-2-1_55JGF_2019-09-30_final
2019-09-30 09:45:33	ga_s2bm_ard_3-2-1_55JEF_2019-09-30_final
2019-09-30 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2019-09-30_final
2019-09-30 09:45:55	ga_s2bm_ard_3-2-1_55HGD_2019-09-30_final
2019-09-30 09:45:59	ga_s2bm_ard_3-2-1_55HFD_2019-09-30_final
2019-09-30 09:46:03	ga_s2bm_ard_3-2-1_55HED_2019-09-30_final
2019-09-30 09:46:06	ga_s2bm_ard_3-2-1_55HDD_2019-09-30_final
2019-09-30 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2019-09-30_final
2019-09-30 09:46:13	ga_s2bm_ard_3-2-1_55HFC_2019-09-30_final
2019-09-30 09:46:17	ga_s2bm_ard_3-2-1_55HEC_2019-09-30_final
2019-09-30 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2019-09-30_final
2019-09-30 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2019-09-30_final
2019-09-30 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2019-09-30_final
2019-09-30 09:46:35	ga_s2bm_ard_3-2-1_55HDB_2019-09-30_final
2019-09-30 09:46:49	ga_s2bm_ard_3-2-1_55HDA_2019-09-30_final
2019-09-30 09:46:55	ga_s2bm_ard_3-2-1_55HFV_2019-09-30_final
2019-09-30 09:46:57	ga_s2bm_ard_3-2-1_55HEV_2019-09-30_final
2019-09-30 09:46:59	ga_s2bm_ard_3-2-1_55HDV_2019-09-30_final
2019-09-30 09:47:00	ga_s2bm_ard_3-2-1_55HCV_2019-09-30_final
2019-09-30 09:47:02	ga_s2bm_ard_3-2-1_55HFV_2019-09-30_final
2019-09-30 09:47:04	ga_s2bm_ard_3-2-1_55HEV_2019-09-30_final
2019-09-30 09:47:06	ga_s2bm_ard_3-2-1_55HDV_2019-09-30_final
2019-09-30 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2019-09-30_final
2019-09-30 09:47:33	ga_s2bm_ard_3-2-1_55HDT_2019-09-30_final
2019-09-30 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2019-09-30_final
2019-09-30 09:47:54	ga_s2bm_ard_3-2-1_55HBS_2019-09-30_final
2019-09-30 09:47:58	ga_s2bm_ard_3-2-1_55GER_2019-09-30_final
2019-09-30 09:48:02	ga_s2bm_ard_3-2-1_55GDR_2019-09-30_final
2019-09-30 09:48:06	ga_s2bm_ard_3-2-1_55GCR_2019-09-30_final
2019-09-30 09:48:09	ga_s2bm_ard_3-2-1_55GBR_2019-09-30_final
2019-09-30 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2019-09-30_final
2019-09-30 09:48:12	ga_s2bm_ard_3-2-1_55GEQ_2019-09-30_final
2019-09-30 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2019-09-30_final
2019-09-30 09:48:20	ga_s2bm_ard_3-2-1_55GCQ_2019-09-30_final
2019-09-30 09:48:22	ga_s2bm_ard_3-2-1_55GEP_2019-09-30_final
2019-09-30 09:48:24	ga_s2bm_ard_3-2-1_55GBQ_2019-09-30_final.stac-item
2019-09-30 09:48:24	ga_s2bm_ard_3-2-1_54GYV_2019-09-30_final.stac-item
2019-09-30 09:48:31	ga_s2bm_ard_3-2-1_55GDP_2019-09-30_final
2019-09-30 09:48:35	ga_s2bm_ard_3-2-1_55GCP_2019-09-30_final
2019-09-30 09:48:58	ga_s2bm_ard_3-2-1_55GDM_2019-09-30_final.stac-item
2019-09-30 11:20:58	ga_s2bm_ard_3-2-1_52LEL_2019-09-30_final.stac-item
2019-09-30 11:21:24	ga_s2bm_ard_3-2-1_52LBK_2019-09-30_final
2019-09-30 11:21:26	ga_s2bm_ard_3-2-1_51LZE_2019-09-30_final
2019-09-30 11:21:36	ga_s2bm_ard_3-2-1_52LCJ_2019-09-30_final
2019-09-30 11:21:50	ga_s2bm_ard_3-2-1_52LCH_2019-09-30_final
2019-09-30 11:21:54	ga_s2bm_ard_3-2-1_52LBH_2019-09-30_final
2019-09-30 11:21:55	ga_s2bm_ard_3-2-1_51LZC_2019-09-30_final
2019-09-30 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2019-09-30_final
2019-09-30 11:22:08	ga_s2bm_ard_3-2-1_52KBG_2019-09-30_final
2019-09-30 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2019-09-30_final
2019-09-30 11:22:12	ga_s2bm_ard_3-2-1_51KYB_2019-09-30_final
2019-09-30 11:22:19	ga_s2bm_ard_3-2-1_52KCF_2019-09-30_final
2019-09-30 11:22:37	ga_s2bm_ard_3-2-1_52KBE_2019-09-30_final
2019-09-30 11:22:42	ga_s2bm_ard_3-2-1_51KYV_2019-09-30_final
2019-09-30 11:22:52	ga_s2bm_ard_3-2-1_52KBD_2019-09-30_final
2019-09-30 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2019-09-30_final
2019-09-30 11:22:56	ga_s2bm_ard_3-2-1_51KYU_2019-09-30_final
2019-09-30 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2019-09-30_final
2019-09-30 11:23:36	ga_s2bm_ard_3-2-1_51KZR_2019-09-30_final
2019-09-30 11:23:43	ga_s2bm_ard_3-2-1_51KXR_2019-09-30_final
2019-09-30 11:24:15	ga_s2bm_ard_3-2-1_51KWP_2019-09-30_final
2019-09-30 11:24:19	ga_s2bm_ard_3-2-1_51JZN_2019-09-30_final
2019-09-30 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2019-09-30_final
2019-09-30 11:24:33	ga_s2bm_ard_3-2-1_51JZM_2019-09-30_final
2019-09-30 11:24:44	ga_s2bm_ard_3-2-1_52JBR_2019-09-30_final
2019-09-30 11:25:13	ga_s2bm_ard_3-2-1_51JWK_2019-09-30_final
2019-09-30 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2019-09-30_final
2019-09-30 11:25:21	ga_s2bm_ard_3-2-1_51JYJ_2019-09-30_final
2019-09-30 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2019-09-30_final
2019-09-30 11:25:42	ga_s2bm_ard_3-2-1_51JWH_2019-09-30_final
2019-09-30 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2019-09-30_final
2019-09-30 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2019-09-30_final
2019-09-30 11:26:36	ga_s2bm_ard_3-2-1_51HXD_2019-09-30_final
2019-09-30 11:26:41	ga_s2bm_ard_3-2-1_51HWD_2019-09-30_final
2019-09-30 11:26:47	ga_s2bm_ard_3-2-1_51HUD_2019-09-30_final
2019-09-30 11:26:55	ga_s2bm_ard_3-2-1_51HVC_2019-09-30_final
2019-09-30 11:27:00	ga_s2bm_ard_3-2-1_51HWC_2019-09-30_final.stac-item
2019-09-30 11:27:02	ga_s2bm_ard_3-2-1_51HVC_2019-09-30_final
2019-09-30 11:27:11	ga_s2bm_ard_3-2-1_51HUB_2019-09-30_final.stac-item

Return to ga_s2bm_ard_3 on 30th 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

30th