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
2021-10-08 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2021-10-08_final
2021-10-08 11:54:48	ga_s2bm_ard_3-2-1_50JPS_2021-10-08_final
2021-10-08 11:54:58	ga_s2bm_ard_3-2-1_50JLS_2021-10-08_final
2021-10-08 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2021-10-08_final
2021-10-08 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2021-10-08_final
2021-10-08 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2021-10-08_final
2021-10-08 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2021-10-08_final
2021-10-08 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2021-10-08_final
2021-10-08 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2021-10-08_final
2021-10-08 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2021-10-08_final
2021-10-08 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2021-10-08_final
2021-10-08 11:56:00	ga_s2bm_ard_3-2-1_50JKN_2021-10-08_final
2021-10-08 11:56:14	ga_s2bm_ard_3-2-1_50JKM_2021-10-08_final
2021-10-08 11:56:18	ga_s2bm_ard_3-2-1_50JNL_2021-10-08_final
2021-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2021-10-08_final
2021-10-08 11:56:30	ga_s2bm_ard_3-2-1_50HNK_2021-10-08_final
2021-10-08 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2021-10-08_final
2021-10-08 11:57:06	ga_s2bm_ard_3-2-1_50HMH_2021-10-08_final
2021-10-08 11:57:21	ga_s2bm_ard_3-2-1_50HMG_2021-10-08_final.stac-item
2021-10-09 09:41:30	ga_s2bm_ard_3-2-1_56KKG_2021-10-09_final.stac-item
2021-10-09 09:41:33	ga_s2bm_ard_3-2-1_55KHB_2021-10-09_final.stac-item
2021-10-09 09:41:42	ga_s2bm_ard_3-2-1_56KLF_2021-10-09_final
2021-10-09 09:42:08	ga_s2bm_ard_3-2-1_56KMD_2021-10-09_final.stac-item
2021-10-09 09:43:39	ga_s2bm_ard_3-2-1_56JLT_2021-10-09_final
2021-10-09 09:43:42	ga_s2bm_ard_3-2-1_56JKT_2021-10-09_final
2021-10-09 09:43:49	ga_s2bm_ard_3-2-1_55JFN_2021-10-09_final
2021-10-09 09:43:53	ga_s2bm_ard_3-2-1_56JLS_2021-10-09_final
2021-10-09 09:44:03	ga_s2bm_ard_3-2-1_55JFM_2021-10-09_final
2021-10-09 09:44:14	ga_s2bm_ard_3-2-1_55JGL_2021-10-09_final
2021-10-09 09:44:17	ga_s2bm_ard_3-2-1_56JLQ_2021-10-09_final
2021-10-09 09:44:18	ga_s2bm_ard_3-2-1_55JFL_2021-10-09_final
2021-10-09 09:44:32	ga_s2bm_ard_3-2-1_55JFK_2021-10-09_final
2021-10-09 09:44:36	ga_s2bm_ard_3-2-1_55JEK_2021-10-09_final
2021-10-09 09:44:50	ga_s2bm_ard_3-2-1_55JEJ_2021-10-09_final
2021-10-09 09:45:09	ga_s2bm_ard_3-2-1_56JKM_2021-10-09_final
2021-10-09 09:45:12	ga_s2bm_ard_3-2-1_55JGG_2021-10-09_final
2021-10-09 09:45:34	ga_s2bm_ard_3-2-1_55JEF_2021-10-09_final
2021-10-09 09:45:38	ga_s2bm_ard_3-2-1_55JDF_2021-10-09_final
2021-10-09 09:45:45	ga_s2bm_ard_3-2-1_55HFE_2021-10-09_final
2021-10-09 09:46:08	ga_s2bm_ard_3-2-1_55HGC_2021-10-09_final
2021-10-09 09:46:17	ga_s2bm_ard_3-2-1_55HEC_2021-10-09_final
2021-10-09 09:46:18	ga_s2bm_ard_3-2-1_55HGB_2021-10-09_final
2021-10-09 09:46:21	ga_s2bm_ard_3-2-1_55HDC_2021-10-09_final
2021-10-09 09:46:32	ga_s2bm_ard_3-2-1_55HEB_2021-10-09_final
2021-10-09 09:46:35	ga_s2bm_ard_3-2-1_55HDB_2021-10-09_final
2021-10-09 09:46:46	ga_s2bm_ard_3-2-1_55HEA_2021-10-09_final
2021-10-09 09:46:50	ga_s2bm_ard_3-2-1_55HDA_2021-10-09_final
2021-10-09 09:46:57	ga_s2bm_ard_3-2-1_55HFV_2021-10-09_final
2021-10-09 09:47:01	ga_s2bm_ard_3-2-1_55HEV_2021-10-09_final
2021-10-09 09:47:04	ga_s2bm_ard_3-2-1_55HDV_2021-10-09_final
2021-10-09 09:47:08	ga_s2bm_ard_3-2-1_55HCV_2021-10-09_final
2021-10-09 09:47:44	ga_s2bm_ard_3-2-1_55HES_2021-10-09_final
2021-10-09 09:47:48	ga_s2bm_ard_3-2-1_55HDS_2021-10-09_final
2021-10-09 09:47:51	ga_s2bm_ard_3-2-1_55HCS_2021-10-09_final
2021-10-09 09:47:54	ga_s2bm_ard_3-2-1_55HBS_2021-10-09_final
2021-10-09 09:47:56	ga_s2bm_ard_3-2-1_54HYB_2021-10-09_final
2021-10-09 09:47:59	ga_s2bm_ard_3-2-1_55GER_2021-10-09_final
2021-10-09 09:48:02	ga_s2bm_ard_3-2-1_55GDR_2021-10-09_final
2021-10-09 09:48:06	ga_s2bm_ard_3-2-1_55GCR_2021-10-09_final
2021-10-09 09:48:09	ga_s2bm_ard_3-2-1_55GBR_2021-10-09_final
2021-10-09 09:48:09	ga_s2bm_ard_3-2-1_54GYA_2021-10-09_final
2021-10-09 09:48:12	ga_s2bm_ard_3-2-1_55GEQ_2021-10-09_final
2021-10-09 09:48:17	ga_s2bm_ard_3-2-1_55GDQ_2021-10-09_final
2021-10-09 09:48:20	ga_s2bm_ard_3-2-1_55GCQ_2021-10-09_final
2021-10-09 09:48:24	ga_s2bm_ard_3-2-1_55GBQ_2021-10-09_final.stac-item
2021-10-09 09:48:24	ga_s2bm_ard_3-2-1_54GYV_2021-10-09_final.stac-item
2021-10-09 09:48:31	ga_s2bm_ard_3-2-1_55GDP_2021-10-09_final
2021-10-09 09:48:35	ga_s2bm_ard_3-2-1_55GCP_2021-10-09_final
2021-10-09 11:21:33	ga_s2bm_ard_3-2-1_52LDJ_2021-10-09_final
2021-10-09 11:21:55	ga_s2bm_ard_3-2-1_51LZC_2021-10-09_final
2021-10-09 11:21:59	ga_s2bm_ard_3-2-1_51LYC_2021-10-09_final
2021-10-09 11:22:08	ga_s2bm_ard_3-2-1_52KBG_2021-10-09_final
2021-10-09 11:22:09	ga_s2bm_ard_3-2-1_51KZB_2021-10-09_final
2021-10-09 11:22:13	ga_s2bm_ard_3-2-1_51KYB_2021-10-09_final
2021-10-09 11:22:20	ga_s2bm_ard_3-2-1_52KCF_2021-10-09_final
2021-10-09 11:22:53	ga_s2bm_ard_3-2-1_51KZU_2021-10-09_final
2021-10-09 11:23:07	ga_s2bm_ard_3-2-1_51KZT_2021-10-09_final
2021-10-09 11:23:18	ga_s2bm_ard_3-2-1_51KZS_2021-10-09_final
2021-10-09 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2021-10-09_final
2021-10-09 11:24:02	ga_s2bm_ard_3-2-1_51KWQ_2021-10-09_final
2021-10-09 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2021-10-09_final
2021-10-09 11:24:30	ga_s2bm_ard_3-2-1_51JWN_2021-10-09_final
2021-10-09 11:24:41	ga_s2bm_ard_3-2-1_51JXM_2021-10-09_final
2021-10-09 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2021-10-09_final
2021-10-09 11:24:56	ga_s2bm_ard_3-2-1_51JXL_2021-10-09_final
2021-10-09 11:25:10	ga_s2bm_ard_3-2-1_51JXK_2021-10-09_final
2021-10-09 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2021-10-09_final
2021-10-09 11:25:17	ga_s2bm_ard_3-2-1_51JVK_2021-10-09_final
2021-10-09 11:25:28	ga_s2bm_ard_3-2-1_51JWJ_2021-10-09_final
2021-10-09 11:25:32	ga_s2bm_ard_3-2-1_51JVJ_2021-10-09_final
2021-10-09 11:25:35	ga_s2bm_ard_3-2-1_51JYH_2021-10-09_final
2021-10-09 11:25:45	ga_s2bm_ard_3-2-1_51JYG_2021-10-09_final
2021-10-09 11:26:12	ga_s2bm_ard_3-2-1_51JWF_2021-10-09_final
2021-10-09 11:26:15	ga_s2bm_ard_3-2-1_51JVF_2021-10-09_final
2021-10-09 11:26:33	ga_s2bm_ard_3-2-1_51HUE_2021-10-09_final
2021-10-09 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2021-10-09_final.stac-item
2021-10-09 11:26:58	ga_s2bm_ard_3-2-1_51HVC_2021-10-09_final
2021-10-09 11:27:04	ga_s2bm_ard_3-2-1_51HWC_2021-10-09_final.stac-item
2021-10-09 11:27:04	ga_s2bm_ard_3-2-1_51HTC_2021-10-09_final
2021-10-09 11:27:05	ga_s2bm_ard_3-2-1_51HVC_2021-10-09_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