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:

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First 100 results (query limit)

Time (local)	Label
2023-04-15 09:54:35	ga_s2bm_ard_3-2-1_55JDK_2023-04-15_final.stac-item
2023-04-15 09:54:46	ga_s2bm_ard_3-2-1_55JEJ_2023-04-15_final.stac-item
2023-04-15 09:54:50	ga_s2bm_ard_3-2-1_55JDJ_2023-04-15_final.stac-item
2023-04-15 09:54:51	ga_s2bm_ard_3-2-1_55JFH_2023-04-15_final.stac-item
2023-04-15 09:54:58	ga_s2bm_ard_3-2-1_55JEH_2023-04-15_final.stac-item
2023-04-15 09:55:01	ga_s2bm_ard_3-2-1_55JCH_2023-04-15_final.stac-item
2023-04-15 09:55:02	ga_s2bm_ard_3-2-1_55JCJ_2023-04-15_final.stac-item
2023-04-15 09:55:08	ga_s2bm_ard_3-2-1_55JCH_2023-04-15_final.stac-item
2023-04-15 09:55:22	ga_s2bm_ard_3-2-1_55JCG_2023-04-15_final.stac-item
2023-04-15 09:55:40	ga_s2bm_ard_3-2-1_55JBF_2023-04-15_final.stac-item
2023-04-15 09:56:02	ga_s2bm_ard_3-2-1_55HDD_2023-04-15_final.stac-item
2023-04-15 09:56:06	ga_s2bm_ard_3-2-1_55HCD_2023-04-15_final.stac-item
2023-04-15 09:56:20	ga_s2bm_ard_3-2-1_55HCC_2023-04-15_final.stac-item
2023-04-15 09:56:23	ga_s2bm_ard_3-2-1_55HBC_2023-04-15_final.stac-item
2023-04-15 09:56:25	ga_s2bm_ard_3-2-1_54HYH_2023-04-15_final.stac-item
2023-04-15 09:56:32	ga_s2bm_ard_3-2-1_55HDB_2023-04-15_final.stac-item
2023-04-15 09:56:38	ga_s2bm_ard_3-2-1_55HBB_2023-04-15_final.stac-item
2023-04-15 09:56:40	ga_s2bm_ard_3-2-1_54HYG_2023-04-15_final.stac-item
2023-04-15 09:56:46	ga_s2bm_ard_3-2-1_55HDA_2023-04-15_final.stac-item
2023-04-15 09:57:33	ga_s2bm_ard_3-2-1_55HCT_2023-04-15_final.stac-item
2023-04-15 09:57:36	ga_s2bm_ard_3-2-1_55HBT_2023-04-15_final.stac-item
2023-04-15 09:57:37	ga_s2bm_ard_3-2-1_54HYC_2023-04-15_final.stac-item
2023-04-15 09:57:41	ga_s2bm_ard_3-2-1_54HXC_2023-04-15_final.stac-item
2023-04-15 09:57:46	ga_s2bm_ard_3-2-1_54HWC_2023-04-15_final.stac-item
2023-04-15 09:57:51	ga_s2bm_ard_3-2-1_55HBS_2023-04-15_final.stac-item
2023-04-15 09:57:52	ga_s2bm_ard_3-2-1_54HYB_2023-04-15_final.stac-item
2023-04-15 11:30:15	ga_s2bm_ard_3-2-1_52LCP_2023-04-15_nrt.stac-item
2023-04-15 11:30:22	ga_s2bm_ard_3-2-1_52LBP_2023-04-15_nrt.stac-item
2023-04-15 11:30:24	ga_s2bm_ard_3-2-1_51LZJ_2023-04-15_nrt.stac-item
2023-04-15 11:30:27	ga_s2bm_ard_3-2-1_51LYJ_2023-04-15_nrt.stac-item
2023-04-15 11:30:36	ga_s2bm_ard_3-2-1_52LBN_2023-04-15_nrt.stac-item
2023-04-15 11:30:42	ga_s2bm_ard_3-2-1_51LYH_2023-04-15_nrt.stac-item
2023-04-15 11:30:45	ga_s2bm_ard_3-2-1_51LXH_2023-04-15_nrt.stac-item
2023-04-15 11:30:51	ga_s2bm_ard_3-2-1_52LBM_2023-04-15_nrt.stac-item
2023-04-15 11:30:52	ga_s2bm_ard_3-2-1_51LZG_2023-04-15_nrt.stac-item
2023-04-15 11:30:56	ga_s2bm_ard_3-2-1_51LYG_2023-04-15_nrt.stac-item
2023-04-15 11:31:00	ga_s2bm_ard_3-2-1_51LXG_2023-04-15_nrt.stac-item
2023-04-15 11:31:19	ga_s2bm_ard_3-2-1_52LBK_2023-04-15_final.stac-item
2023-04-15 11:31:21	ga_s2bm_ard_3-2-1_51LZE_2023-04-15_final.stac-item
2023-04-15 11:31:25	ga_s2bm_ard_3-2-1_51LYE_2023-04-15_final.stac-item
2023-04-15 11:31:30	ga_s2bm_ard_3-2-1_52LBJ_2023-04-15_final.stac-item
2023-04-15 11:31:36	ga_s2bm_ard_3-2-1_51LZD_2023-04-15_final.stac-item
2023-04-15 11:31:40	ga_s2bm_ard_3-2-1_51LYD_2023-04-15_final.stac-item
2023-04-15 11:31:43	ga_s2bm_ard_3-2-1_51LXD_2023-04-15_final.stac-item
2023-04-15 11:31:46	ga_s2bm_ard_3-2-1_51LWD_2023-04-15_nrt.stac-item
2023-04-15 11:31:49	ga_s2bm_ard_3-2-1_51LZC_2023-04-15_final.stac-item
2023-04-15 11:31:54	ga_s2bm_ard_3-2-1_51LYC_2023-04-15_final.stac-item
2023-04-15 11:31:57	ga_s2bm_ard_3-2-1_51LXC_2023-04-15_final.stac-item
2023-04-15 11:32:01	ga_s2bm_ard_3-2-1_51LWC_2023-04-15_final.stac-item
2023-04-15 11:32:12	ga_s2bm_ard_3-2-1_51KXB_2023-04-15_final.stac-item
2023-04-15 11:32:15	ga_s2bm_ard_3-2-1_51KWB_2023-04-15_final.stac-item
2023-04-15 11:32:20	ga_s2bm_ard_3-2-1_51KVB_2023-04-15_final.stac-item
2023-04-15 11:32:23	ga_s2bm_ard_3-2-1_51KYA_2023-04-15_final.stac-item
2023-04-15 11:32:26	ga_s2bm_ard_3-2-1_51KXA_2023-04-15_final.stac-item
2023-04-15 11:32:33	ga_s2bm_ard_3-2-1_51KVA_2023-04-15_final.stac-item
2023-04-15 11:32:38	ga_s2bm_ard_3-2-1_51KYV_2023-04-15_final.stac-item
2023-04-15 11:32:41	ga_s2bm_ard_3-2-1_51KXV_2023-04-15_final.stac-item
2023-04-15 11:32:44	ga_s2bm_ard_3-2-1_51KWV_2023-04-15_final.stac-item
2023-04-15 11:32:47	ga_s2bm_ard_3-2-1_51KVV_2023-04-15_final.stac-item
2023-04-15 11:32:55	ga_s2bm_ard_3-2-1_51KXU_2023-04-15_final.stac-item
2023-04-15 11:33:10	ga_s2bm_ard_3-2-1_51KXT_2023-04-15_final.stac-item
2023-04-15 11:33:24	ga_s2bm_ard_3-2-1_51KXS_2023-04-15_final.stac-item
2023-04-15 11:33:28	ga_s2bm_ard_3-2-1_51KWS_2023-04-15_final.stac-item
2023-04-15 11:33:31	ga_s2bm_ard_3-2-1_51KVS_2023-04-15_final.stac-item
2023-04-15 11:33:35	ga_s2bm_ard_3-2-1_51KUS_2023-04-15_final.stac-item
2023-04-15 11:33:43	ga_s2bm_ard_3-2-1_51KWR_2023-04-15_final.stac-item
2023-04-15 11:33:49	ga_s2bm_ard_3-2-1_51KUR_2023-04-15_final.stac-item
2023-04-15 11:33:53	ga_s2bm_ard_3-2-1_51KXQ_2023-04-15_final.stac-item
2023-04-15 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-04-15_final.stac-item
2023-04-15 11:34:06	ga_s2bm_ard_3-2-1_51KXP_2023-04-15_final.stac-item
2023-04-15 11:34:11	ga_s2bm_ard_3-2-1_51KWP_2023-04-15_final.stac-item
2023-04-15 11:34:15	ga_s2bm_ard_3-2-1_51KVP_2023-04-15_final.stac-item
2023-04-15 11:34:16	ga_s2bm_ard_3-2-1_51JXN_2023-04-15_final.stac-item
2023-04-15 11:34:18	ga_s2bm_ard_3-2-1_51KUP_2023-04-15_final.stac-item
2023-04-15 11:34:40	ga_s2bm_ard_3-2-1_51JWM_2023-04-15_final.stac-item
2023-04-15 11:34:44	ga_s2bm_ard_3-2-1_51JVM_2023-04-15_final.stac-item
2023-04-15 11:34:47	ga_s2bm_ard_3-2-1_51JUM_2023-04-15_final.stac-item
2023-04-15 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2023-04-15_final.stac-item
2023-04-15 11:34:55	ga_s2bm_ard_3-2-1_51JWL_2023-04-15_final.stac-item
2023-04-15 11:34:59	ga_s2bm_ard_3-2-1_51JVL_2023-04-15_final.stac-item
2023-04-15 11:35:02	ga_s2bm_ard_3-2-1_51JUL_2023-04-15_final.stac-item
2023-04-15 11:35:09	ga_s2bm_ard_3-2-1_51JWK_2023-04-15_final.stac-item
2023-04-15 11:35:13	ga_s2bm_ard_3-2-1_51JVK_2023-04-15_final.stac-item
2023-04-15 11:35:46	ga_s2bm_ard_3-2-1_51JUH_2023-04-15_final.stac-item
2023-04-15 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-04-15_final.stac-item
2023-04-15 11:36:18	ga_s2bm_ard_3-2-1_51JTF_2023-04-15_final.stac-item
2023-04-15 11:36:20	ga_s2bm_ard_3-2-1_50JQL_2023-04-15_final.stac-item
2023-04-15 11:36:35	ga_s2bm_ard_3-2-1_51HVD_2023-04-15_final.stac-item
2023-04-15 11:36:44	ga_s2bm_ard_3-2-1_51HUD_2023-04-15_final.stac-item
2023-04-15 11:36:47	ga_s2bm_ard_3-2-1_51HTD_2023-04-15_final.stac-item
2023-04-15 11:36:49	ga_s2bm_ard_3-2-1_50HQJ_2023-04-15_final.stac-item
2023-04-15 11:36:58	ga_s2bm_ard_3-2-1_51HUC_2023-04-15_final.stac-item
2023-04-15 11:37:02	ga_s2bm_ard_3-2-1_51HTC_2023-04-15_final.stac-item
2023-04-15 11:37:04	ga_s2bm_ard_3-2-1_50HQH_2023-04-15_final.stac-item
2023-04-15 11:37:07	ga_s2bm_ard_3-2-1_50HPH_2023-04-15_final.stac-item
2023-04-15 11:37:16	ga_s2bm_ard_3-2-1_51HTB_2023-04-15_final.stac-item
2023-04-15 11:37:18	ga_s2bm_ard_3-2-1_50HQG_2023-04-15_final.stac-item
2023-04-16 09:28:53	ga_s2bm_ard_3-2-1_56GLS_2023-04-15_nrt.stac-item
2023-04-16 09:28:56	ga_s2bm_ard_3-2-1_55GGM_2023-04-15_nrt.stac-item
2023-04-16 09:28:58	ga_s2bm_ard_3-2-1_55GFM_2023-04-15_nrt.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

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