Search ga_s2bm_ard_3 whole collection

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
2021-08-31 10:51:38	ga_s2bm_ard_3-2-1_53KPB_2021-08-31_final
2021-08-31 10:51:40	ga_s2bm_ard_3-2-1_53LLC_2021-08-31_final
2021-08-31 10:51:48	ga_s2bm_ard_3-2-1_53KNB_2021-08-31_final
2021-08-31 10:51:51	ga_s2bm_ard_3-2-1_53KMB_2021-08-31_final
2021-08-31 10:51:55	ga_s2bm_ard_3-2-1_53KLB_2021-08-31_final
2021-08-31 10:51:59	ga_s2bm_ard_3-2-1_53KKB_2021-08-31_final
2021-08-31 10:52:02	ga_s2bm_ard_3-2-1_53KNA_2021-08-31_final
2021-08-31 10:52:06	ga_s2bm_ard_3-2-1_53KMA_2021-08-31_final
2021-08-31 10:52:09	ga_s2bm_ard_3-2-1_53KLA_2021-08-31_final
2021-08-31 10:52:15	ga_s2bm_ard_3-2-1_53KNV_2021-08-31_final
2021-08-31 10:52:17	ga_s2bm_ard_3-2-1_53KMV_2021-08-31_final
2021-08-31 10:52:18	ga_s2bm_ard_3-2-1_53KLV_2021-08-31_final
2021-08-31 10:52:22	ga_s2bm_ard_3-2-1_53KNV_2021-08-31_final
2021-08-31 10:52:23	ga_s2bm_ard_3-2-1_53KMV_2021-08-31_final
2021-08-31 10:52:25	ga_s2bm_ard_3-2-1_53KLV_2021-08-31_final
2021-08-31 10:52:38	ga_s2bm_ard_3-2-1_53KLU_2021-08-31_final
2021-08-31 10:53:19	ga_s2bm_ard_3-2-1_53KMR_2021-08-31_final
2021-08-31 10:53:40	ga_s2bm_ard_3-2-1_52KHV_2021-08-31_final
2021-08-31 10:53:57	ga_s2bm_ard_3-2-1_53JMN_2021-08-31_final
2021-08-31 10:54:05	ga_s2bm_ard_3-2-1_53JLN_2021-08-31_final
2021-08-31 10:54:09	ga_s2bm_ard_3-2-1_53JKN_2021-08-31_final
2021-08-31 10:54:12	ga_s2bm_ard_3-2-1_52JGT_2021-08-31_final
2021-08-31 10:54:19	ga_s2bm_ard_3-2-1_52JFT_2021-08-31_final
2021-08-31 10:54:20	ga_s2bm_ard_3-2-1_53JLM_2021-08-31_final
2021-08-31 10:54:30	ga_s2bm_ard_3-2-1_52JFS_2021-08-31_final
2021-08-31 10:54:41	ga_s2bm_ard_3-2-1_52JGR_2021-08-31_final
2021-08-31 10:54:49	ga_s2bm_ard_3-2-1_53JLK_2021-08-31_final
2021-08-31 10:54:53	ga_s2bm_ard_3-2-1_53JKK_2021-08-31_final
2021-08-31 10:54:56	ga_s2bm_ard_3-2-1_52JGQ_2021-08-31_final
2021-08-31 10:54:59	ga_s2bm_ard_3-2-1_52JFQ_2021-08-31_final
2021-08-31 10:55:07	ga_s2bm_ard_3-2-1_53JKJ_2021-08-31_final
2021-08-31 10:55:28	ga_s2bm_ard_3-2-1_52JFN_2021-08-31_final
2021-08-31 10:55:32	ga_s2bm_ard_3-2-1_52JEN_2021-08-31_final
2021-08-31 10:55:36	ga_s2bm_ard_3-2-1_53JKG_2021-08-31_final
2021-08-31 10:55:39	ga_s2bm_ard_3-2-1_52JGM_2021-08-31_final
2021-08-31 10:55:43	ga_s2bm_ard_3-2-1_52JFM_2021-08-31_final
2021-08-31 10:55:51	ga_s2bm_ard_3-2-1_53JKF_2021-08-31_final
2021-08-31 10:55:53	ga_s2bm_ard_3-2-1_52JGL_2021-08-31_final
2021-08-31 10:56:05	ga_s2bm_ard_3-2-1_53HKE_2021-08-31_final.stac-item
2021-08-31 10:56:08	ga_s2bm_ard_3-2-1_52HGK_2021-08-31_final.stac-item
2021-08-31 10:56:19	ga_s2bm_ard_3-2-1_52HDK_2021-08-31_final.stac-item
2021-09-01 10:20:03	ga_s2bm_ard_3-2-1_54LZN_2021-09-01_final
2021-09-01 10:20:07	ga_s2bm_ard_3-2-1_54LYN_2021-09-01_final
2021-09-01 10:20:36	ga_s2bm_ard_3-2-1_54LYL_2021-09-01_final
2021-09-01 10:20:39	ga_s2bm_ard_3-2-1_54LXL_2021-09-01_final
2021-09-01 10:20:42	ga_s2bm_ard_3-2-1_54LWL_2021-09-01_final
2021-09-01 10:20:46	ga_s2bm_ard_3-2-1_54LZK_2021-09-01_final
2021-09-01 10:20:50	ga_s2bm_ard_3-2-1_54LYK_2021-09-01_final
2021-09-01 10:21:12	ga_s2bm_ard_3-2-1_54LWJ_2021-09-01_final
2021-09-01 10:21:18	ga_s2bm_ard_3-2-1_54LVJ_2021-09-01_final.stac-item
2021-09-01 10:21:19	ga_s2bm_ard_3-2-1_54LYH_2021-09-01_final
2021-09-01 10:21:23	ga_s2bm_ard_3-2-1_54LXH_2021-09-01_final
2021-09-01 10:21:26	ga_s2bm_ard_3-2-1_54LWH_2021-09-01_final
2021-09-01 10:21:30	ga_s2bm_ard_3-2-1_54LVH_2021-09-01_final
2021-09-01 10:21:34	ga_s2bm_ard_3-2-1_54KYG_2021-09-01_final
2021-09-01 10:21:37	ga_s2bm_ard_3-2-1_54KXG_2021-09-01_final
2021-09-01 10:21:41	ga_s2bm_ard_3-2-1_54KWG_2021-09-01_final
2021-09-01 10:21:44	ga_s2bm_ard_3-2-1_54KVG_2021-09-01_final
2021-09-01 10:21:52	ga_s2bm_ard_3-2-1_54KXF_2021-09-01_final
2021-09-01 10:21:55	ga_s2bm_ard_3-2-1_54KWF_2021-09-01_final
2021-09-01 10:21:58	ga_s2bm_ard_3-2-1_54KVF_2021-09-01_final
2021-09-01 10:22:06	ga_s2bm_ard_3-2-1_54KXE_2021-09-01_final
2021-09-01 10:22:10	ga_s2bm_ard_3-2-1_54KWE_2021-09-01_final
2021-09-01 10:22:13	ga_s2bm_ard_3-2-1_54KVE_2021-09-01_final
2021-09-01 10:22:21	ga_s2bm_ard_3-2-1_54KXD_2021-09-01_final
2021-09-01 10:22:24	ga_s2bm_ard_3-2-1_54KWD_2021-09-01_final
2021-09-01 10:22:32	ga_s2bm_ard_3-2-1_54KUD_2021-09-01_final
2021-09-01 10:22:50	ga_s2bm_ard_3-2-1_54KXB_2021-09-01_final
2021-09-01 10:22:53	ga_s2bm_ard_3-2-1_54KWB_2021-09-01_final
2021-09-01 10:23:08	ga_s2bm_ard_3-2-1_54KWA_2021-09-01_final
2021-09-01 10:23:11	ga_s2bm_ard_3-2-1_54KVA_2021-09-01_final
2021-09-01 10:23:51	ga_s2bm_ard_3-2-1_54JWT_2021-09-01_final
2021-09-01 10:23:55	ga_s2bm_ard_3-2-1_54JVT_2021-09-01_final
2021-09-01 10:23:58	ga_s2bm_ard_3-2-1_54JUT_2021-09-01_final
2021-09-01 10:24:01	ga_s2bm_ard_3-2-1_54JTT_2021-09-01_final
2021-09-01 10:24:13	ga_s2bm_ard_3-2-1_54JUS_2021-09-01_final
2021-09-01 10:24:18	ga_s2bm_ard_3-2-1_54JWR_2021-09-01_final
2021-09-01 10:24:24	ga_s2bm_ard_3-2-1_54JVR_2021-09-01_final
2021-09-01 10:24:28	ga_s2bm_ard_3-2-1_54JWQ_2021-09-01_final
2021-09-01 10:24:37	ga_s2bm_ard_3-2-1_53JQL_2021-09-01_final
2021-09-01 10:24:42	ga_s2bm_ard_3-2-1_54JUQ_2021-09-01_final
2021-09-01 10:24:45	ga_s2bm_ard_3-2-1_54JTQ_2021-09-01_final
2021-09-01 10:24:48	ga_s2bm_ard_3-2-1_53JQK_2021-09-01_final
2021-09-01 10:24:53	ga_s2bm_ard_3-2-1_54JTQ_2021-09-01_final
2021-09-01 10:24:53	ga_s2bm_ard_3-2-1_54JTP_2021-09-01_final
2021-09-01 10:24:54	ga_s2bm_ard_3-2-1_53JQK_2021-09-01_final
2021-09-01 10:25:00	ga_s2bm_ard_3-2-1_54JTP_2021-09-01_final
2021-09-01 10:25:08	ga_s2bm_ard_3-2-1_54JVN_2021-09-01_final
2021-09-01 10:25:25	ga_s2bm_ard_3-2-1_54JUM_2021-09-01_final
2021-09-01 10:25:29	ga_s2bm_ard_3-2-1_54JTM_2021-09-01_final
2021-09-01 10:25:31	ga_s2bm_ard_3-2-1_53JQG_2021-09-01_final
2021-09-01 10:25:37	ga_s2bm_ard_3-2-1_53JPG_2021-09-01_final
2021-09-01 10:25:43	ga_s2bm_ard_3-2-1_54JTL_2021-09-01_final
2021-09-01 10:25:46	ga_s2bm_ard_3-2-1_53JQF_2021-09-01_final
2021-09-01 10:25:58	ga_s2bm_ard_3-2-1_54HTK_2021-09-01_final
2021-09-01 10:26:00	ga_s2bm_ard_3-2-1_53HQE_2021-09-01_final
2021-09-01 10:26:04	ga_s2bm_ard_3-2-1_53HPE_2021-09-01_final
2021-09-01 10:26:09	ga_s2bm_ard_3-2-1_54HUJ_2021-09-01_final
2021-09-01 10:26:19	ga_s2bm_ard_3-2-1_53HPD_2021-09-01_final
2021-09-01 10:26:24	ga_s2bm_ard_3-2-1_54HUH_2021-09-01_final

Return to ga_s2bm_ard_3 whole collection 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

All years