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
2023-03-15 12:04:14	ga_s2bm_ard_3-2-1_50KLV_2023-03-15_final.stac-item
2023-03-15 12:05:33	ga_s2bm_ard_3-2-1_49JGK_2023-03-15_final.stac-item
2023-03-15 12:05:42	ga_s2bm_ard_3-2-1_50JLP_2023-03-15_final.stac-item
2023-03-15 12:05:45	ga_s2bm_ard_3-2-1_50JKP_2023-03-15_final.stac-item
2023-03-15 12:05:48	ga_s2bm_ard_3-2-1_49JGJ_2023-03-15_final.stac-item
2023-03-15 12:05:52	ga_s2bm_ard_3-2-1_49JFJ_2023-03-15_nrt.stac-item
2023-03-15 12:05:59	ga_s2bm_ard_3-2-1_50JKN_2023-03-15_final.stac-item
2023-03-15 12:06:06	ga_s2bm_ard_3-2-1_49JFH_2023-03-15_nrt.stac-item
2023-03-15 12:06:17	ga_s2bm_ard_3-2-1_49JGG_2023-03-15_nrt.stac-item
2023-03-15 12:06:26	ga_s2bm_ard_3-2-1_50JKL_2023-03-15_nrt.stac-item
2023-03-15 12:06:28	ga_s2bm_ard_3-2-1_49JGF_2023-03-15_nrt.stac-item
2023-03-15 12:06:30	ga_s2bm_ard_3-2-1_49JFF_2023-03-15_nrt.stac-item
2023-03-16 09:49:40	ga_s2bm_ard_3-2-1_56LMP_2023-03-16_nrt.stac-item
2023-03-16 09:49:44	ga_s2bm_ard_3-2-1_56LLP_2023-03-16_nrt.stac-item
2023-03-16 09:49:48	ga_s2bm_ard_3-2-1_56LKP_2023-03-16_nrt.stac-item
2023-03-16 09:49:49	ga_s2bm_ard_3-2-1_55LHJ_2023-03-16_nrt.stac-item
2023-03-16 09:49:53	ga_s2bm_ard_3-2-1_55LGJ_2023-03-16_nrt.stac-item
2023-03-16 09:50:03	ga_s2bm_ard_3-2-1_56LMM_2023-03-16_nrt.stac-item
2023-03-16 09:50:08	ga_s2bm_ard_3-2-1_56LLM_2023-03-16_nrt.stac-item
2023-03-16 09:50:09	ga_s2bm_ard_3-2-1_56LKM_2023-03-16_nrt.stac-item
2023-03-16 09:50:10	ga_s2bm_ard_3-2-1_55LHG_2023-03-16_nrt.stac-item
2023-03-16 09:51:08	ga_s2bm_ard_3-2-1_56LLH_2023-03-16_nrt.stac-item
2023-03-16 09:51:14	ga_s2bm_ard_3-2-1_56LKH_2023-03-16_nrt.stac-item
2023-03-16 09:51:16	ga_s2bm_ard_3-2-1_55LHC_2023-03-16_final.stac-item
2023-03-16 09:51:20	ga_s2bm_ard_3-2-1_55LGC_2023-03-16_final.stac-item
2023-03-16 09:51:23	ga_s2bm_ard_3-2-1_55LFC_2023-03-16_final.stac-item
2023-03-16 09:52:06	ga_s2bm_ard_3-2-1_55KFV_2023-03-16_nrt.stac-item
2023-03-16 09:53:18	ga_s2bm_ard_3-2-1_55KFQ_2023-03-16_final.stac-item
2023-03-16 09:53:20	ga_s2bm_ard_3-2-1_55KEQ_2023-03-16_final.stac-item
2023-03-16 09:53:21	ga_s2bm_ard_3-2-1_55KDQ_2023-03-16_final.stac-item
2023-03-16 09:53:24	ga_s2bm_ard_3-2-1_55KGQ_2023-03-16_final.stac-item
2023-03-16 09:54:35	ga_s2bm_ard_3-2-1_55JEK_2023-03-16_final.stac-item
2023-03-16 09:54:38	ga_s2bm_ard_3-2-1_55JDK_2023-03-16_final.stac-item
2023-03-16 09:54:44	ga_s2bm_ard_3-2-1_55JFJ_2023-03-16_final.stac-item
2023-03-16 09:54:56	ga_s2bm_ard_3-2-1_55JCJ_2023-03-16_final.stac-item
2023-03-16 09:55:15	ga_s2bm_ard_3-2-1_55JBH_2023-03-16_final.stac-item
2023-03-16 09:55:18	ga_s2bm_ard_3-2-1_55JEG_2023-03-16_final.stac-item
2023-03-16 09:55:22	ga_s2bm_ard_3-2-1_55JDG_2023-03-16_final.stac-item
2023-03-16 09:55:40	ga_s2bm_ard_3-2-1_55JCF_2023-03-16_final.stac-item
2023-03-16 09:55:58	ga_s2bm_ard_3-2-1_55HBE_2023-03-16_final.stac-item
2023-03-16 09:55:58	ga_s2bm_ard_3-2-1_55HED_2023-03-16_final.stac-item
2023-03-16 09:56:01	ga_s2bm_ard_3-2-1_54HYK_2023-03-16_final.stac-item
2023-03-16 09:56:05	ga_s2bm_ard_3-2-1_55HDD_2023-03-16_final.stac-item
2023-03-16 09:56:09	ga_s2bm_ard_3-2-1_55HCD_2023-03-16_final.stac-item
2023-03-16 09:56:12	ga_s2bm_ard_3-2-1_55HBD_2023-03-16_final.stac-item
2023-03-16 09:56:14	ga_s2bm_ard_3-2-1_54HYJ_2023-03-16_final.stac-item
2023-03-16 09:56:20	ga_s2bm_ard_3-2-1_55HDC_2023-03-16_final.stac-item
2023-03-16 09:56:35	ga_s2bm_ard_3-2-1_55HDB_2023-03-16_final.stac-item
2023-03-16 09:56:38	ga_s2bm_ard_3-2-1_55HCB_2023-03-16_final.stac-item
2023-03-16 09:56:50	ga_s2bm_ard_3-2-1_54HXG_2023-03-16_final.stac-item
2023-03-16 09:57:02	ga_s2bm_ard_3-2-1_55HDV_2023-03-16_final.stac-item
2023-03-16 09:57:07	ga_s2bm_ard_3-2-1_55HCV_2023-03-16_final.stac-item
2023-03-16 09:57:11	ga_s2bm_ard_3-2-1_55HBV_2023-03-16_final.stac-item
2023-03-16 09:57:12	ga_s2bm_ard_3-2-1_54HYE_2023-03-16_final.stac-item
2023-03-16 09:57:15	ga_s2bm_ard_3-2-1_54HXE_2023-03-16_final.stac-item
2023-03-16 09:57:49	ga_s2bm_ard_3-2-1_54HWC_2023-03-16_final.stac-item
2023-03-16 09:58:05	ga_s2bm_ard_3-2-1_55GCR_2023-03-16_final.stac-item
2023-03-16 09:58:33	ga_s2bm_ard_3-2-1_54GYU_2023-03-16_nrt.stac-item
2023-03-16 09:58:33	ga_s2bm_ard_3-2-1_55GBP_2023-03-16_nrt.stac-item
2023-03-16 11:30:18	ga_s2bm_ard_3-2-1_52LCP_2023-03-16_nrt.stac-item
2023-03-16 11:30:25	ga_s2bm_ard_3-2-1_52LBP_2023-03-16_nrt.stac-item
2023-03-16 11:30:27	ga_s2bm_ard_3-2-1_51LZJ_2023-03-16_nrt.stac-item
2023-03-16 11:30:30	ga_s2bm_ard_3-2-1_51LYJ_2023-03-16_nrt.stac-item
2023-03-16 11:30:33	ga_s2bm_ard_3-2-1_51LXJ_2023-03-16_nrt.stac-item
2023-03-16 11:30:54	ga_s2bm_ard_3-2-1_52LBM_2023-03-16_nrt.stac-item
2023-03-16 11:30:56	ga_s2bm_ard_3-2-1_51LZG_2023-03-16_nrt.stac-item
2023-03-16 11:30:59	ga_s2bm_ard_3-2-1_51LYG_2023-03-16_nrt.stac-item
2023-03-16 11:31:03	ga_s2bm_ard_3-2-1_51LXG_2023-03-16_nrt.stac-item
2023-03-16 11:31:22	ga_s2bm_ard_3-2-1_52LBK_2023-03-16_final.stac-item
2023-03-16 11:31:25	ga_s2bm_ard_3-2-1_51LZE_2023-03-16_final.stac-item
2023-03-16 11:31:28	ga_s2bm_ard_3-2-1_51LYE_2023-03-16_final.stac-item
2023-03-16 11:31:52	ga_s2bm_ard_3-2-1_51LZC_2023-03-16_final.stac-item
2023-03-16 11:31:57	ga_s2bm_ard_3-2-1_51LYC_2023-03-16_final.stac-item
2023-03-16 11:32:01	ga_s2bm_ard_3-2-1_51LXC_2023-03-16_final.stac-item
2023-03-16 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2023-03-16_final.stac-item
2023-03-16 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-03-16_final.stac-item
2023-03-16 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-03-16_final.stac-item
2023-03-16 11:33:56	ga_s2bm_ard_3-2-1_51KXQ_2023-03-16_final.stac-item
2023-03-16 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-03-16_final.stac-item
2023-03-16 11:35:12	ga_s2bm_ard_3-2-1_51JWK_2023-03-16_final.stac-item
2023-03-16 11:35:16	ga_s2bm_ard_3-2-1_51JVK_2023-03-16_final.stac-item
2023-03-16 11:35:23	ga_s2bm_ard_3-2-1_51JWJ_2023-03-16_final.stac-item
2023-03-16 11:35:34	ga_s2bm_ard_3-2-1_51JUJ_2023-03-16_final.stac-item
2023-03-16 11:35:37	ga_s2bm_ard_3-2-1_51JTJ_2023-03-16_final.stac-item
2023-03-16 11:35:41	ga_s2bm_ard_3-2-1_50JQP_2023-03-16_final.stac-item
2023-03-16 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2023-03-16_final.stac-item
2023-03-16 11:36:00	ga_s2bm_ard_3-2-1_51JVG_2023-03-16_final.stac-item
2023-03-16 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2023-03-16_final.stac-item
2023-03-16 11:36:18	ga_s2bm_ard_3-2-1_51JUF_2023-03-16_final.stac-item
2023-03-16 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-03-16_final.stac-item
2023-03-16 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-03-16_final.stac-item
2023-03-16 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-03-16_final.stac-item
2023-03-16 11:36:37	ga_s2bm_ard_3-2-1_51HVD_2023-03-16_final.stac-item
2023-03-16 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-03-16_final.stac-item
2023-03-16 11:36:47	ga_s2bm_ard_3-2-1_51HUD_2023-03-16_final.stac-item
2023-03-16 11:36:50	ga_s2bm_ard_3-2-1_51HTD_2023-03-16_final.stac-item
2023-03-16 11:36:52	ga_s2bm_ard_3-2-1_50HQJ_2023-03-16_final.stac-item
2023-03-16 11:36:56	ga_s2bm_ard_3-2-1_50HPJ_2023-03-16_final.stac-item
2023-03-16 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2023-03-16_final.stac-item
2023-03-16 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-03-16_final.stac-item

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