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
2022-02-11 10:34:27	ga_s2bm_ard_3-2-1_53JQL_2022-02-11_final
2022-02-11 10:34:45	ga_s2bm_ard_3-2-1_53JPK_2022-02-11_final
2022-02-11 10:34:48	ga_s2bm_ard_3-2-1_53JNK_2022-02-11_final
2022-02-11 10:34:51	ga_s2bm_ard_3-2-1_54JTP_2022-02-11_final
2022-02-11 10:34:59	ga_s2bm_ard_3-2-1_53JPJ_2022-02-11_final
2022-02-11 10:35:03	ga_s2bm_ard_3-2-1_53JNJ_2022-02-11_final
2022-02-11 10:35:09	ga_s2bm_ard_3-2-1_53JMJ_2022-02-11_final
2022-02-11 10:35:17	ga_s2bm_ard_3-2-1_53JNH_2022-02-11_final
2022-02-11 10:35:21	ga_s2bm_ard_3-2-1_53JMH_2022-02-11_final
2022-02-11 10:35:24	ga_s2bm_ard_3-2-1_53JQG_2022-02-11_final
2022-02-11 10:35:28	ga_s2bm_ard_3-2-1_53JPG_2022-02-11_final
2022-02-11 10:35:35	ga_s2bm_ard_3-2-1_53JMG_2022-02-11_final
2022-02-11 10:35:43	ga_s2bm_ard_3-2-1_53JPF_2022-02-11_final
2022-02-11 10:35:46	ga_s2bm_ard_3-2-1_53JNF_2022-02-11_final
2022-02-11 10:35:50	ga_s2bm_ard_3-2-1_53JMF_2022-02-11_final
2022-02-11 10:36:01	ga_s2bm_ard_3-2-1_53HNE_2022-02-11_final
2022-02-11 10:36:04	ga_s2bm_ard_3-2-1_53HME_2022-02-11_final
2022-02-11 10:36:11	ga_s2bm_ard_3-2-1_53HLE_2022-02-11_final
2022-02-11 10:36:11	ga_s2bm_ard_3-2-1_53HPD_2022-02-11_final
2022-02-11 10:36:15	ga_s2bm_ard_3-2-1_53HND_2022-02-11_final
2022-02-11 10:36:19	ga_s2bm_ard_3-2-1_53HMD_2022-02-11_final
2022-02-11 10:36:22	ga_s2bm_ard_3-2-1_53HLD_2022-02-11_final
2022-02-11 10:36:26	ga_s2bm_ard_3-2-1_53HPC_2022-02-11_final
2022-02-11 10:36:30	ga_s2bm_ard_3-2-1_53HNC_2022-02-11_final
2022-02-11 10:36:33	ga_s2bm_ard_3-2-1_53HMC_2022-02-11_final.stac-item
2022-02-11 10:36:48	ga_s2bm_ard_3-2-1_53HMB_2022-02-11_final.stac-item
2022-02-11 10:36:53	ga_s2bm_ard_3-2-1_53HPA_2022-02-11_final
2022-02-11 12:13:34	ga_s2bm_ard_3-2-1_50KKB_2022-02-11_final
2022-02-11 12:13:48	ga_s2bm_ard_3-2-1_50KKA_2022-02-11_final
2022-02-11 12:14:13	ga_s2bm_ard_3-2-1_50KKU_2022-02-11_final
2022-02-11 12:14:21	ga_s2bm_ard_3-2-1_49KGP_2022-02-11_final
2022-02-11 12:14:50	ga_s2bm_ard_3-2-1_49JGM_2022-02-11_final
2022-02-11 12:15:05	ga_s2bm_ard_3-2-1_49JGL_2022-02-11_final
2022-02-12 10:01:12	ga_s2bm_ard_3-2-1_55LEC_2022-02-12_final
2022-02-12 10:01:23	ga_s2bm_ard_3-2-1_55KFB_2022-02-12_final
2022-02-12 10:01:29	ga_s2bm_ard_3-2-1_55KDB_2022-02-12_final
2022-02-12 10:01:32	ga_s2bm_ard_3-2-1_55KCB_2022-02-12_final
2022-02-12 10:01:44	ga_s2bm_ard_3-2-1_55KDA_2022-02-12_final
2022-02-12 10:01:55	ga_s2bm_ard_3-2-1_55KEV_2022-02-12_final
2022-02-12 10:01:59	ga_s2bm_ard_3-2-1_55KDV_2022-02-12_final
2022-02-12 10:01:59	ga_s2bm_ard_3-2-1_55KFU_2022-02-12_final
2022-02-12 10:02:02	ga_s2bm_ard_3-2-1_55KCV_2022-02-12_final
2022-02-12 10:02:09	ga_s2bm_ard_3-2-1_55KBV_2022-02-12_final
2022-02-12 10:02:09	ga_s2bm_ard_3-2-1_55KEU_2022-02-12_final
2022-02-12 10:02:13	ga_s2bm_ard_3-2-1_55KDU_2022-02-12_final
2022-02-12 10:02:16	ga_s2bm_ard_3-2-1_55KCU_2022-02-12_final
2022-02-12 10:02:24	ga_s2bm_ard_3-2-1_55KET_2022-02-12_final
2022-02-12 10:02:28	ga_s2bm_ard_3-2-1_55KDT_2022-02-12_final
2022-02-12 10:02:31	ga_s2bm_ard_3-2-1_55KCT_2022-02-12_final
2022-02-12 10:02:48	ga_s2bm_ard_3-2-1_55KBS_2022-02-12_final
2022-02-12 10:03:00	ga_s2bm_ard_3-2-1_55KCR_2022-02-12_final
2022-02-12 10:03:03	ga_s2bm_ard_3-2-1_55KEQ_2022-02-12_final
2022-02-12 10:03:03	ga_s2bm_ard_3-2-1_55KBR_2022-02-12_final
2022-02-12 10:03:11	ga_s2bm_ard_3-2-1_55KDQ_2022-02-12_final
2022-02-12 10:03:15	ga_s2bm_ard_3-2-1_55KCQ_2022-02-12_final
2022-02-12 10:03:18	ga_s2bm_ard_3-2-1_55KBQ_2022-02-12_final
2022-02-12 10:03:26	ga_s2bm_ard_3-2-1_55KDP_2022-02-12_final
2022-02-12 10:03:32	ga_s2bm_ard_3-2-1_55KBP_2022-02-12_final
2022-02-12 10:03:37	ga_s2bm_ard_3-2-1_54KYU_2022-02-12_final
2022-02-12 10:03:55	ga_s2bm_ard_3-2-1_55JDM_2022-02-12_final
2022-02-12 10:04:01	ga_s2bm_ard_3-2-1_55JBM_2022-02-12_final
2022-02-12 10:04:05	ga_s2bm_ard_3-2-1_54JYS_2022-02-12_final
2022-02-12 10:04:14	ga_s2bm_ard_3-2-1_54JYR_2022-02-12_final
2022-02-12 10:04:18	ga_s2bm_ard_3-2-1_55JDK_2022-02-12_final
2022-02-12 10:04:21	ga_s2bm_ard_3-2-1_54JYR_2022-02-12_final
2022-02-12 10:04:27	ga_s2bm_ard_3-2-1_55JCK_2022-02-12_final
2022-02-12 10:04:38	ga_s2bm_ard_3-2-1_54JXQ_2022-02-12_final
2022-02-12 10:04:42	ga_s2bm_ard_3-2-1_55JCJ_2022-02-12_final
2022-02-12 10:04:45	ga_s2bm_ard_3-2-1_55JBJ_2022-02-12_final
2022-02-12 10:04:48	ga_s2bm_ard_3-2-1_54JYP_2022-02-12_final
2022-02-12 10:04:51	ga_s2bm_ard_3-2-1_54JXP_2022-02-12_final
2022-02-12 10:05:10	ga_s2bm_ard_3-2-1_55JCG_2022-02-12_final
2022-02-12 10:05:14	ga_s2bm_ard_3-2-1_55JBG_2022-02-12_final
2022-02-12 10:05:21	ga_s2bm_ard_3-2-1_54JXM_2022-02-12_final
2022-02-12 10:05:23	ga_s2bm_ard_3-2-1_55JCF_2022-02-12_final
2022-02-12 10:05:27	ga_s2bm_ard_3-2-1_54JWM_2022-02-12_final
2022-02-12 10:05:35	ga_s2bm_ard_3-2-1_54JXL_2022-02-12_final
2022-02-12 10:05:39	ga_s2bm_ard_3-2-1_54JWL_2022-02-12_final
2022-02-12 10:05:50	ga_s2bm_ard_3-2-1_54HXK_2022-02-12_final
2022-02-12 10:05:53	ga_s2bm_ard_3-2-1_54HWK_2022-02-12_final
2022-02-12 10:05:58	ga_s2bm_ard_3-2-1_55HBD_2022-02-12_final
2022-02-12 10:06:00	ga_s2bm_ard_3-2-1_54HYJ_2022-02-12_final
2022-02-12 10:06:04	ga_s2bm_ard_3-2-1_54HXJ_2022-02-12_final
2022-02-12 10:06:08	ga_s2bm_ard_3-2-1_54HWJ_2022-02-12_final
2022-02-12 10:06:13	ga_s2bm_ard_3-2-1_55HBC_2022-02-12_final
2022-02-12 10:06:14	ga_s2bm_ard_3-2-1_54HYH_2022-02-12_final
2022-02-12 10:06:19	ga_s2bm_ard_3-2-1_54HXH_2022-02-12_final
2022-02-12 10:06:22	ga_s2bm_ard_3-2-1_54HWH_2022-02-12_final
2022-02-12 10:06:27	ga_s2bm_ard_3-2-1_55HBB_2022-02-12_final
2022-02-12 10:06:28	ga_s2bm_ard_3-2-1_54HVH_2022-02-12_final
2022-02-12 10:06:29	ga_s2bm_ard_3-2-1_54HYG_2022-02-12_final
2022-02-12 10:06:40	ga_s2bm_ard_3-2-1_55HBA_2022-02-12_final
2022-02-12 10:06:44	ga_s2bm_ard_3-2-1_54HYF_2022-02-12_final
2022-02-12 10:06:47	ga_s2bm_ard_3-2-1_54HXF_2022-02-12_final
2022-02-12 10:06:50	ga_s2bm_ard_3-2-1_55HBV_2022-02-12_final
2022-02-12 10:06:51	ga_s2bm_ard_3-2-1_54HWF_2022-02-12_final
2022-02-12 10:06:54	ga_s2bm_ard_3-2-1_54HVF_2022-02-12_final
2022-02-12 10:06:57	ga_s2bm_ard_3-2-1_54HYE_2022-02-12_final
2022-02-12 10:07:31	ga_s2bm_ard_3-2-1_54HXC_2022-02-12_final
2022-02-12 10:07:35	ga_s2bm_ard_3-2-1_54HWC_2022-02-12_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