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 10:52:25	ga_s2bm_ard_3-2-1_53KLV_2021-08-31_final
2021-08-31 10:52:27	ga_s2bm_ard_3-2-1_53KKV_2021-08-31_final
2021-08-31 10:52:28	ga_s2bm_ard_3-2-1_52KHE_2021-08-31_final
2021-08-31 10:52:43	ga_s2bm_ard_3-2-1_53KNT_2021-08-31_final
2021-08-31 10:52:49	ga_s2bm_ard_3-2-1_53KMT_2021-08-31_final
2021-08-31 10:52:53	ga_s2bm_ard_3-2-1_53KLT_2021-08-31_final
2021-08-31 10:53:10	ga_s2bm_ard_3-2-1_53KKS_2021-08-31_final
2021-08-31 10:53:19	ga_s2bm_ard_3-2-1_53KMR_2021-08-31_final
2021-08-31 10:53:25	ga_s2bm_ard_3-2-1_53KKR_2021-08-31_final
2021-08-31 10:53:29	ga_s2bm_ard_3-2-1_52KGA_2021-08-31_final
2021-08-31 10:53:33	ga_s2bm_ard_3-2-1_53KMQ_2021-08-31_final
2021-08-31 10:53:37	ga_s2bm_ard_3-2-1_53KLQ_2021-08-31_final
2021-08-31 10:53:40	ga_s2bm_ard_3-2-1_53KKQ_2021-08-31_final
2021-08-31 10:53:40	ga_s2bm_ard_3-2-1_52KHV_2021-08-31_final
2021-08-31 10:53:43	ga_s2bm_ard_3-2-1_52KGV_2021-08-31_final
2021-08-31 10:53:46	ga_s2bm_ard_3-2-1_53KMP_2021-08-31_final
2021-08-31 10:53:51	ga_s2bm_ard_3-2-1_53KLP_2021-08-31_final
2021-08-31 10:53:54	ga_s2bm_ard_3-2-1_53KKP_2021-08-31_final
2021-08-31 10:53:57	ga_s2bm_ard_3-2-1_53JMN_2021-08-31_final
2021-08-31 10:53:58	ga_s2bm_ard_3-2-1_52KGU_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 10:54:23	ga_s2bm_ard_3-2-1_53JKM_2021-08-31_final
2021-08-31 10:54:27	ga_s2bm_ard_3-2-1_52JGS_2021-08-31_final
2021-08-31 10:54:30	ga_s2bm_ard_3-2-1_52JFS_2021-08-31_final
2021-08-31 10:54:45	ga_s2bm_ard_3-2-1_52JFR_2021-08-31_final
2021-08-31 10:55:02	ga_s2bm_ard_3-2-1_53JLJ_2021-08-31_final
2021-08-31 10:55:14	ga_s2bm_ard_3-2-1_52JFP_2021-08-31_final
2021-08-31 10:55:25	ga_s2bm_ard_3-2-1_52JGN_2021-08-31_final
2021-08-31 10:55:46	ga_s2bm_ard_3-2-1_52JEM_2021-08-31_final
2021-08-31 10:55:57	ga_s2bm_ard_3-2-1_52JFL_2021-08-31_final
2021-09-01 10:19:35	ga_s2bm_ard_3-2-1_54LZQ_2021-09-01_final
2021-09-01 10:19:38	ga_s2bm_ard_3-2-1_54LYQ_2021-09-01_final
2021-09-01 10:19:41	ga_s2bm_ard_3-2-1_54LXQ_2021-09-01_final
2021-09-01 10:19:49	ga_s2bm_ard_3-2-1_54LZP_2021-09-01_final
2021-09-01 10:19:52	ga_s2bm_ard_3-2-1_54LYP_2021-09-01_final
2021-09-01 10:19:56	ga_s2bm_ard_3-2-1_54LXP_2021-09-01_final
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 10:20:10	ga_s2bm_ard_3-2-1_54LXN_2021-09-01_final
2021-09-01 10:20:15	ga_s2bm_ard_3-2-1_54LWN_2021-09-01_final
2021-09-01 10:20:18	ga_s2bm_ard_3-2-1_54LZM_2021-09-01_final
2021-09-01 10:20:21	ga_s2bm_ard_3-2-1_54LYM_2021-09-01_final
2021-09-01 10:20:25	ga_s2bm_ard_3-2-1_54LXM_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 10:20:54	ga_s2bm_ard_3-2-1_54LXK_2021-09-01_final
2021-09-01 10:20:57	ga_s2bm_ard_3-2-1_54LWK_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 10:21:23	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 10:21:48	ga_s2bm_ard_3-2-1_54KYF_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 10:22:01	ga_s2bm_ard_3-2-1_54KYE_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 10:22:35	ga_s2bm_ard_3-2-1_54KXC_2021-09-01_final
2021-09-01 10:22:39	ga_s2bm_ard_3-2-1_54KWC_2021-09-01_final
2021-09-01 10:22:42	ga_s2bm_ard_3-2-1_54KVC_2021-09-01_final
2021-09-01 10:22:45	ga_s2bm_ard_3-2-1_54KUC_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 10:23:14	ga_s2bm_ard_3-2-1_54KXV_2021-09-01_final
2021-09-01 10:23:22	ga_s2bm_ard_3-2-1_54KWV_2021-09-01_final
2021-09-01 10:23:26	ga_s2bm_ard_3-2-1_54KVV_2021-09-01_final
2021-09-01 10:23:29	ga_s2bm_ard_3-2-1_54KUV_2021-09-01_final
2021-09-01 10:23:34	ga_s2bm_ard_3-2-1_54KTV_2021-09-01_final
2021-09-01 10:23:37	ga_s2bm_ard_3-2-1_54KWU_2021-09-01_final
2021-09-01 10:23:40	ga_s2bm_ard_3-2-1_54KVU_2021-09-01_final
2021-09-01 10:23:43	ga_s2bm_ard_3-2-1_54KUU_2021-09-01_final
2021-09-01 10:23:47	ga_s2bm_ard_3-2-1_54KTU_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 10:24:05	ga_s2bm_ard_3-2-1_54JWS_2021-09-01_final
2021-09-01 10:24:09	ga_s2bm_ard_3-2-1_54JVS_2021-09-01_final
2021-09-01 10:24:13	ga_s2bm_ard_3-2-1_54JUS_2021-09-01_final
2021-09-01 10:24:16	ga_s2bm_ard_3-2-1_54JTS_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 10:24:52	ga_s2bm_ard_3-2-1_54JUP_2021-09-01_final
2021-09-01 10:24:58	ga_s2bm_ard_3-2-1_54JUP_2021-09-01_final
2021-09-01 10:25:14	ga_s2bm_ard_3-2-1_54JTN_2021-09-01_final
2021-09-01 10:25:21	ga_s2bm_ard_3-2-1_54JVM_2021-09-01_final
2021-09-01 10:26:42	ga_s2bm_ard_3-2-1_54HTG_2021-09-01_final
2021-09-01 10:26:43	ga_s2bm_ard_3-2-1_53HQB_2021-09-01_final
2021-09-01 10:26:48	ga_s2bm_ard_3-2-1_54HUF_2021-09-01_final
2021-09-01 10:26:56	ga_s2bm_ard_3-2-1_54HTF_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