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
2022-08-10 10:34:47	ga_s2bm_ard_3-2-1_54JTQ_2022-08-10_final
2022-08-10 10:34:51	ga_s2bm_ard_3-2-1_53JQK_2022-08-10_final
2022-08-10 10:34:54	ga_s2bm_ard_3-2-1_53JPK_2022-08-10_final
2022-08-10 10:35:01	ga_s2bm_ard_3-2-1_54JTP_2022-08-10_final
2022-08-10 10:35:05	ga_s2bm_ard_3-2-1_53JQJ_2022-08-10_final
2022-08-10 10:35:12	ga_s2bm_ard_3-2-1_54JTN_2022-08-10_final
2022-08-10 10:35:19	ga_s2bm_ard_3-2-1_53JQH_2022-08-10_final
2022-08-10 10:35:27	ga_s2bm_ard_3-2-1_53JNH_2022-08-10_final
2022-08-10 10:35:31	ga_s2bm_ard_3-2-1_53JMH_2022-08-10_final
2022-08-10 10:35:41	ga_s2bm_ard_3-2-1_53JNG_2022-08-10_final
2022-08-10 10:35:52	ga_s2bm_ard_3-2-1_53JPF_2022-08-10_final
2022-08-10 10:35:56	ga_s2bm_ard_3-2-1_53JNF_2022-08-10_final
2022-08-10 10:35:59	ga_s2bm_ard_3-2-1_53JMF_2022-08-10_final
2022-08-10 10:36:10	ga_s2bm_ard_3-2-1_53HNE_2022-08-10_final
2022-08-10 10:36:14	ga_s2bm_ard_3-2-1_53HME_2022-08-10_final
2022-08-10 10:36:20	ga_s2bm_ard_3-2-1_53HLE_2022-08-10_final
2022-08-10 10:36:39	ga_s2bm_ard_3-2-1_53HNC_2022-08-10_final
2022-08-10 10:36:43	ga_s2bm_ard_3-2-1_53HMC_2022-08-10_final.stac-item
2022-08-10 10:36:54	ga_s2bm_ard_3-2-1_53HNB_2022-08-10_final
2022-08-10 10:36:58	ga_s2bm_ard_3-2-1_53HMB_2022-08-10_final.stac-item
2022-08-10 10:37:02	ga_s2bm_ard_3-2-1_53HPA_2022-08-10_final
2022-08-10 10:37:12	ga_s2bm_ard_3-2-1_53HPV_2022-08-10_final.stac-item
2022-08-10 12:13:43	ga_s2bm_ard_3-2-1_50KKB_2022-08-10_final
2022-08-10 12:13:44	ga_s2bm_ard_3-2-1_49KHS_2022-08-10_final.stac-item
2022-08-10 12:14:22	ga_s2bm_ard_3-2-1_50KKU_2022-08-10_final
2022-08-10 12:14:45	ga_s2bm_ard_3-2-1_49JGN_2022-08-10_final
2022-08-10 12:14:49	ga_s2bm_ard_3-2-1_49JFN_2022-08-10_final
2022-08-10 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2022-08-10_final
2022-08-10 12:15:24	ga_s2bm_ard_3-2-1_49JGK_2022-08-10_final
2022-08-11 10:01:15	ga_s2bm_ard_3-2-1_55LCD_2022-08-11_final
2022-08-11 10:01:18	ga_s2bm_ard_3-2-1_55LFC_2022-08-11_final
2022-08-11 10:01:21	ga_s2bm_ard_3-2-1_55LEC_2022-08-11_final
2022-08-11 10:01:28	ga_s2bm_ard_3-2-1_55LCC_2022-08-11_final
2022-08-11 10:01:32	ga_s2bm_ard_3-2-1_55KFB_2022-08-11_final
2022-08-11 10:01:42	ga_s2bm_ard_3-2-1_55KCB_2022-08-11_final
2022-08-11 10:02:05	ga_s2bm_ard_3-2-1_55KEV_2022-08-11_final
2022-08-11 10:02:09	ga_s2bm_ard_3-2-1_55KFU_2022-08-11_final
2022-08-11 10:02:11	ga_s2bm_ard_3-2-1_55KCV_2022-08-11_final
2022-08-11 10:02:19	ga_s2bm_ard_3-2-1_55KEU_2022-08-11_final
2022-08-11 10:02:23	ga_s2bm_ard_3-2-1_55KDU_2022-08-11_final
2022-08-11 10:02:30	ga_s2bm_ard_3-2-1_55KBU_2022-08-11_final
2022-08-11 10:02:43	ga_s2bm_ard_3-2-1_55KBT_2022-08-11_final
2022-08-11 10:02:45	ga_s2bm_ard_3-2-1_54KZC_2022-08-11_final
2022-08-11 10:02:48	ga_s2bm_ard_3-2-1_55KES_2022-08-11_final
2022-08-11 10:02:52	ga_s2bm_ard_3-2-1_55KDS_2022-08-11_final
2022-08-11 10:02:55	ga_s2bm_ard_3-2-1_55KCS_2022-08-11_final
2022-08-11 10:02:58	ga_s2bm_ard_3-2-1_55KBS_2022-08-11_final
2022-08-11 10:02:58	ga_s2bm_ard_3-2-1_54KZB_2022-08-11_final
2022-08-11 10:03:02	ga_s2bm_ard_3-2-1_55KER_2022-08-11_final
2022-08-11 10:03:06	ga_s2bm_ard_3-2-1_55KDR_2022-08-11_final
2022-08-11 10:03:20	ga_s2bm_ard_3-2-1_55KDQ_2022-08-11_final
2022-08-11 10:03:28	ga_s2bm_ard_3-2-1_54KZV_2022-08-11_final
2022-08-11 10:03:35	ga_s2bm_ard_3-2-1_55KDP_2022-08-11_final
2022-08-11 10:03:42	ga_s2bm_ard_3-2-1_55KBP_2022-08-11_final
2022-08-11 10:03:50	ga_s2bm_ard_3-2-1_55JDN_2022-08-11_final
2022-08-11 10:03:53	ga_s2bm_ard_3-2-1_55JCN_2022-08-11_final
2022-08-11 10:03:56	ga_s2bm_ard_3-2-1_54JZT_2022-08-11_final
2022-08-11 10:03:56	ga_s2bm_ard_3-2-1_55JBN_2022-08-11_final
2022-08-11 10:04:00	ga_s2bm_ard_3-2-1_54JYT_2022-08-11_final
2022-08-11 10:04:04	ga_s2bm_ard_3-2-1_55JDM_2022-08-11_final
2022-08-11 10:04:08	ga_s2bm_ard_3-2-1_55JCM_2022-08-11_final
2022-08-11 10:04:11	ga_s2bm_ard_3-2-1_54JZS_2022-08-11_final
2022-08-11 10:04:37	ga_s2bm_ard_3-2-1_55JCK_2022-08-11_final
2022-08-11 10:04:40	ga_s2bm_ard_3-2-1_55JBK_2022-08-11_final
2022-08-11 10:04:43	ga_s2bm_ard_3-2-1_54JYQ_2022-08-11_final
2022-08-11 10:04:47	ga_s2bm_ard_3-2-1_54JXQ_2022-08-11_final
2022-08-11 10:04:51	ga_s2bm_ard_3-2-1_55JCJ_2022-08-11_final
2022-08-11 10:04:55	ga_s2bm_ard_3-2-1_55JBJ_2022-08-11_final
2022-08-11 10:05:12	ga_s2bm_ard_3-2-1_54JYN_2022-08-11_final
2022-08-11 10:05:27	ga_s2bm_ard_3-2-1_54JYM_2022-08-11_final.stac-item
2022-08-11 10:05:36	ga_s2bm_ard_3-2-1_54JWM_2022-08-11_final.stac-item
2022-08-11 10:05:38	ga_s2bm_ard_3-2-1_55JCF_2022-08-11_final.stac-item
2022-08-11 10:05:39	ga_s2bm_ard_3-2-1_54JWM_2022-08-11_final.stac-item
2022-08-11 10:05:40	ga_s2bm_ard_3-2-1_54JWL_2022-08-11_final.stac-item
2022-08-11 10:05:43	ga_s2bm_ard_3-2-1_54JYL_2022-08-11_final.stac-item
2022-08-11 10:05:45	ga_s2bm_ard_3-2-1_54JXL_2022-08-11_final.stac-item
2022-08-11 10:05:48	ga_s2bm_ard_3-2-1_54JWL_2022-08-11_final.stac-item
2022-08-11 10:06:03	ga_s2bm_ard_3-2-1_54HWK_2022-08-11_final.stac-item
2022-08-11 10:06:08	ga_s2bm_ard_3-2-1_55HBD_2022-08-11_final.stac-item
2022-08-11 10:06:10	ga_s2bm_ard_3-2-1_54HYJ_2022-08-11_final.stac-item
2022-08-11 10:06:22	ga_s2bm_ard_3-2-1_55HBC_2022-08-11_final.stac-item
2022-08-11 10:06:24	ga_s2bm_ard_3-2-1_54HYH_2022-08-11_final.stac-item
2022-08-11 10:06:32	ga_s2bm_ard_3-2-1_54HWH_2022-08-11_final.stac-item
2022-08-11 10:06:37	ga_s2bm_ard_3-2-1_54HVH_2022-08-11_final.stac-item
2022-08-11 10:06:46	ga_s2bm_ard_3-2-1_54HWG_2022-08-11_final.stac-item
2022-08-11 10:06:49	ga_s2bm_ard_3-2-1_55HBA_2022-08-11_final
2022-08-11 10:06:50	ga_s2bm_ard_3-2-1_54HVG_2022-08-11_final.stac-item
2022-08-11 10:06:53	ga_s2bm_ard_3-2-1_54HYF_2022-08-11_final
2022-08-11 10:06:57	ga_s2bm_ard_3-2-1_54HXF_2022-08-11_final
2022-08-11 10:06:59	ga_s2bm_ard_3-2-1_55HBV_2022-08-11_final
2022-08-11 10:07:01	ga_s2bm_ard_3-2-1_54HWF_2022-08-11_final
2022-08-11 10:07:04	ga_s2bm_ard_3-2-1_54HVF_2022-08-11_final
2022-08-11 10:07:07	ga_s2bm_ard_3-2-1_54HYE_2022-08-11_final
2022-08-11 10:07:11	ga_s2bm_ard_3-2-1_54HXE_2022-08-11_final
2022-08-11 10:07:15	ga_s2bm_ard_3-2-1_54HWE_2022-08-11_final
2022-08-11 10:07:18	ga_s2bm_ard_3-2-1_54HYD_2022-08-11_final
2022-08-11 10:07:19	ga_s2bm_ard_3-2-1_54HVE_2022-08-11_final
2022-08-11 10:07:26	ga_s2bm_ard_3-2-1_54HXD_2022-08-11_final
2022-08-11 10:07:30	ga_s2bm_ard_3-2-1_54HWD_2022-08-11_final
2022-08-11 10:07:33	ga_s2bm_ard_3-2-1_54HVD_2022-08-11_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