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
2023-03-25 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-03-25_final.stac-item
2023-03-25 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2023-03-25_final.stac-item
2023-03-25 12:06:04	ga_s2bm_ard_3-2-1_49JFH_2023-03-25_nrt.stac-item
2023-03-25 12:06:06	ga_s2bm_ard_3-2-1_50JLM_2023-03-25_final.stac-item
2023-03-25 12:06:16	ga_s2bm_ard_3-2-1_50JLL_2023-03-25_final.stac-item
2023-03-25 12:06:19	ga_s2bm_ard_3-2-1_49JFG_2023-03-25_nrt.stac-item
2023-03-26 09:49:52	ga_s2bm_ard_3-2-1_56LMN_2023-03-26_nrt.stac-item
2023-03-26 09:49:57	ga_s2bm_ard_3-2-1_56LLN_2023-03-26_nrt.stac-item
2023-03-26 09:51:57	ga_s2bm_ard_3-2-1_56KKE_2023-03-26_nrt.stac-item
2023-03-26 09:52:02	ga_s2bm_ard_3-2-1_55KGV_2023-03-26_nrt.stac-item
2023-03-26 09:52:08	ga_s2bm_ard_3-2-1_55KEV_2023-03-26_final.stac-item
2023-03-26 09:52:11	ga_s2bm_ard_3-2-1_56KKD_2023-03-26_nrt.stac-item
2023-03-26 09:52:16	ga_s2bm_ard_3-2-1_55KGU_2023-03-26_final.stac-item
2023-03-26 09:52:30	ga_s2bm_ard_3-2-1_55KGT_2023-03-26_final.stac-item
2023-03-26 09:53:21	ga_s2bm_ard_3-2-1_55KEQ_2023-03-26_final.stac-item
2023-03-26 09:53:24	ga_s2bm_ard_3-2-1_55KDQ_2023-03-26_final.stac-item
2023-03-26 09:53:36	ga_s2bm_ard_3-2-1_55KEP_2023-03-26_final.stac-item
2023-03-26 09:53:39	ga_s2bm_ard_3-2-1_55KDP_2023-03-26_final.stac-item
2023-03-26 09:53:46	ga_s2bm_ard_3-2-1_55JFN_2023-03-26_final.stac-item
2023-03-26 09:53:50	ga_s2bm_ard_3-2-1_55JEN_2023-03-26_final.stac-item
2023-03-26 09:53:50	ga_s2bm_ard_3-2-1_55JGM_2023-03-26_final.stac-item
2023-03-26 09:53:53	ga_s2bm_ard_3-2-1_55JDN_2023-03-26_final.stac-item
2023-03-26 09:54:00	ga_s2bm_ard_3-2-1_55JCN_2023-03-26_final.stac-item
2023-03-26 09:54:30	ga_s2bm_ard_3-2-1_55JFK_2023-03-26_final.stac-item
2023-03-26 09:54:53	ga_s2bm_ard_3-2-1_55JFH_2023-03-26_final.stac-item
2023-03-26 09:55:00	ga_s2bm_ard_3-2-1_55JEH_2023-03-26_final.stac-item
2023-03-26 09:55:02	ga_s2bm_ard_3-2-1_55JDH_2023-03-26_final.stac-item
2023-03-26 09:55:03	ga_s2bm_ard_3-2-1_55JCH_2023-03-26_final.stac-item
2023-03-26 09:55:05	ga_s2bm_ard_3-2-1_55JBH_2023-03-26_final.stac-item
2023-03-26 09:55:07	ga_s2bm_ard_3-2-1_55JEH_2023-03-26_final.stac-item
2023-03-26 09:55:09	ga_s2bm_ard_3-2-1_55JDH_2023-03-26_final.stac-item
2023-03-26 09:55:10	ga_s2bm_ard_3-2-1_55JCH_2023-03-26_final.stac-item
2023-03-26 09:55:14	ga_s2bm_ard_3-2-1_55JBH_2023-03-26_final.stac-item
2023-03-26 09:55:24	ga_s2bm_ard_3-2-1_55JCG_2023-03-26_final.stac-item
2023-03-26 09:55:27	ga_s2bm_ard_3-2-1_55JBG_2023-03-26_final.stac-item
2023-03-26 09:55:32	ga_s2bm_ard_3-2-1_55JEF_2023-03-26_final.stac-item
2023-03-26 09:55:35	ga_s2bm_ard_3-2-1_55JDF_2023-03-26_final.stac-item
2023-03-26 09:55:53	ga_s2bm_ard_3-2-1_55HCE_2023-03-26_final.stac-item
2023-03-26 09:55:57	ga_s2bm_ard_3-2-1_55HED_2023-03-26_final.stac-item
2023-03-26 09:56:04	ga_s2bm_ard_3-2-1_55HDD_2023-03-26_final.stac-item
2023-03-26 09:56:08	ga_s2bm_ard_3-2-1_55HCD_2023-03-26_final.stac-item
2023-03-26 09:56:11	ga_s2bm_ard_3-2-1_55HBD_2023-03-26_final.stac-item
2023-03-26 09:56:13	ga_s2bm_ard_3-2-1_54HYJ_2023-03-26_final.stac-item
2023-03-26 09:56:18	ga_s2bm_ard_3-2-1_55HDC_2023-03-26_final.stac-item
2023-03-26 09:56:22	ga_s2bm_ard_3-2-1_55HCC_2023-03-26_final.stac-item
2023-03-26 09:56:33	ga_s2bm_ard_3-2-1_55HDB_2023-03-26_final.stac-item
2023-03-26 09:56:42	ga_s2bm_ard_3-2-1_54HYG_2023-03-26_final.stac-item
2023-03-26 09:56:48	ga_s2bm_ard_3-2-1_55HDA_2023-03-26_final.stac-item
2023-03-26 09:56:48	ga_s2bm_ard_3-2-1_54HXG_2023-03-26_final.stac-item
2023-03-26 09:57:06	ga_s2bm_ard_3-2-1_55HCV_2023-03-26_final.stac-item
2023-03-26 09:57:09	ga_s2bm_ard_3-2-1_55HBV_2023-03-26_final.stac-item
2023-03-26 09:57:10	ga_s2bm_ard_3-2-1_54HYE_2023-03-26_final.stac-item
2023-03-26 09:57:14	ga_s2bm_ard_3-2-1_54HXE_2023-03-26_final.stac-item
2023-03-26 09:57:50	ga_s2bm_ard_3-2-1_55HCS_2023-03-26_final.stac-item
2023-03-26 09:57:53	ga_s2bm_ard_3-2-1_55HBS_2023-03-26_final.stac-item
2023-03-26 09:57:53	ga_s2bm_ard_3-2-1_54HYB_2023-03-26_final.stac-item
2023-03-26 09:57:57	ga_s2bm_ard_3-2-1_54HXB_2023-03-26_nrt.stac-item
2023-03-26 09:58:01	ga_s2bm_ard_3-2-1_54HWB_2023-03-26_nrt.stac-item
2023-03-26 09:58:31	ga_s2bm_ard_3-2-1_54GYU_2023-03-26_nrt.stac-item
2023-03-26 09:58:32	ga_s2bm_ard_3-2-1_55GBP_2023-03-26_nrt.stac-item
2023-03-26 09:58:33	ga_s2bm_ard_3-2-1_54GXU_2023-03-26_nrt.stac-item
2023-03-26 11:30:47	ga_s2bm_ard_3-2-1_51LXH_2023-03-26_nrt.stac-item
2023-03-26 11:31:07	ga_s2bm_ard_3-2-1_52LBL_2023-03-26_nrt.stac-item
2023-03-26 11:31:09	ga_s2bm_ard_3-2-1_51LZF_2023-03-26_nrt.stac-item
2023-03-26 11:31:13	ga_s2bm_ard_3-2-1_51LYF_2023-03-26_nrt.stac-item
2023-03-26 11:31:16	ga_s2bm_ard_3-2-1_51LXF_2023-03-26_nrt.stac-item
2023-03-26 11:31:20	ga_s2bm_ard_3-2-1_51LWF_2023-03-26_nrt.stac-item
2023-03-26 11:31:31	ga_s2bm_ard_3-2-1_52LBJ_2023-03-26_final.stac-item
2023-03-26 11:31:38	ga_s2bm_ard_3-2-1_51LZD_2023-03-26_final.stac-item
2023-03-26 11:31:48	ga_s2bm_ard_3-2-1_51LWD_2023-03-26_nrt.stac-item
2023-03-26 11:32:39	ga_s2bm_ard_3-2-1_51KYV_2023-03-26_final.stac-item
2023-03-26 11:32:46	ga_s2bm_ard_3-2-1_51KWV_2023-03-26_final.stac-item
2023-03-26 11:32:49	ga_s2bm_ard_3-2-1_51KVV_2023-03-26_final.stac-item
2023-03-26 11:32:53	ga_s2bm_ard_3-2-1_51KYU_2023-03-26_final.stac-item
2023-03-26 11:33:05	ga_s2bm_ard_3-2-1_51KYT_2023-03-26_final.stac-item
2023-03-26 11:33:12	ga_s2bm_ard_3-2-1_51KXT_2023-03-26_final.stac-item
2023-03-26 11:33:15	ga_s2bm_ard_3-2-1_51KWT_2023-03-26_final.stac-item
2023-03-26 11:33:19	ga_s2bm_ard_3-2-1_51KVT_2023-03-26_final.stac-item
2023-03-26 11:33:25	ga_s2bm_ard_3-2-1_51KUT_2023-03-26_final.stac-item
2023-03-26 11:33:59	ga_s2bm_ard_3-2-1_51KWQ_2023-03-26_final.stac-item
2023-03-26 11:34:02	ga_s2bm_ard_3-2-1_51KVQ_2023-03-26_final.stac-item
2023-03-26 11:34:05	ga_s2bm_ard_3-2-1_51KUQ_2023-03-26_final.stac-item
2023-03-26 11:34:13	ga_s2bm_ard_3-2-1_51KWP_2023-03-26_final.stac-item
2023-03-26 11:34:17	ga_s2bm_ard_3-2-1_51KVP_2023-03-26_final.stac-item
2023-03-26 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-03-26_final.stac-item
2023-03-26 11:35:44	ga_s2bm_ard_3-2-1_51JVH_2023-03-26_final.stac-item
2023-03-26 11:35:47	ga_s2bm_ard_3-2-1_51JUH_2023-03-26_final.stac-item
2023-03-26 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2023-03-26_final.stac-item
2023-03-26 11:36:05	ga_s2bm_ard_3-2-1_51JTG_2023-03-26_final.stac-item
2023-03-26 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2023-03-26_final.stac-item
2023-03-26 11:36:20	ga_s2bm_ard_3-2-1_51JTF_2023-03-26_final.stac-item
2023-03-26 11:36:29	ga_s2bm_ard_3-2-1_50JPL_2023-03-26_final.stac-item
2023-03-26 11:36:31	ga_s2bm_ard_3-2-1_51HUE_2023-03-26_final.stac-item
2023-03-26 11:36:36	ga_s2bm_ard_3-2-1_51HVD_2023-03-26_final.stac-item
2023-03-26 11:36:40	ga_s2bm_ard_3-2-1_50HPK_2023-03-26_final.stac-item
2023-03-26 11:36:49	ga_s2bm_ard_3-2-1_51HTD_2023-03-26_final.stac-item
2023-03-26 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-03-26_final.stac-item
2023-03-26 11:36:54	ga_s2bm_ard_3-2-1_50HPJ_2023-03-26_final.stac-item
2023-03-26 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-03-26_final.stac-item
2023-03-26 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-03-26_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