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
2023-01-04 12:03:31	ga_s2bm_ard_3-2-1_50KNB_2023-01-04_final.stac-item
2023-01-04 12:03:36	ga_s2bm_ard_3-2-1_50KMB_2023-01-04_final.stac-item
2023-01-04 12:03:50	ga_s2bm_ard_3-2-1_50KMA_2023-01-04_final.stac-item
2023-01-04 12:03:57	ga_s2bm_ard_3-2-1_49KHR_2023-01-04_final.stac-item
2023-01-04 12:04:12	ga_s2bm_ard_3-2-1_49KHQ_2023-01-04_final.stac-item
2023-01-04 12:04:26	ga_s2bm_ard_3-2-1_49KHP_2023-01-04_final.stac-item
2023-01-04 12:04:26	ga_s2bm_ard_3-2-1_50KKU_2023-01-04_final.stac-item
2023-01-04 12:04:38	ga_s2bm_ard_3-2-1_50JLT_2023-01-04_final.stac-item
2023-01-04 12:04:55	ga_s2bm_ard_3-2-1_49JHM_2023-01-04_final.stac-item
2023-01-04 12:04:59	ga_s2bm_ard_3-2-1_49JGM_2023-01-04_final.stac-item
2023-01-04 12:05:39	ga_s2bm_ard_3-2-1_50JKP_2023-01-04_final.stac-item
2023-01-04 12:05:42	ga_s2bm_ard_3-2-1_49JGJ_2023-01-04_final.stac-item
2023-01-04 12:05:54	ga_s2bm_ard_3-2-1_50JKN_2023-01-04_final.stac-item
2023-01-04 12:06:02	ga_s2bm_ard_3-2-1_50JLM_2023-01-04_final.stac-item
2023-01-05 11:31:22	ga_s2bm_ard_3-2-1_51LYE_2023-01-05_final.stac-item
2023-01-05 11:31:37	ga_s2bm_ard_3-2-1_51LYD_2023-01-05_final.stac-item
2023-01-05 11:31:47	ga_s2bm_ard_3-2-1_51LZC_2023-01-05_final.stac-item
2023-01-05 11:31:57	ga_s2bm_ard_3-2-1_51KZB_2023-01-05_final.stac-item
2023-01-05 11:31:58	ga_s2bm_ard_3-2-1_51LWC_2023-01-05_final.stac-item
2023-01-05 11:32:24	ga_s2bm_ard_3-2-1_51KXA_2023-01-05_final.stac-item
2023-01-05 11:32:27	ga_s2bm_ard_3-2-1_51KWA_2023-01-05_final.stac-item
2023-01-05 11:32:39	ga_s2bm_ard_3-2-1_51KWV_2023-01-05_final.stac-item
2023-01-05 11:32:45	ga_s2bm_ard_3-2-1_51KWV_2023-01-05_final.stac-item
2023-01-05 11:32:53	ga_s2bm_ard_3-2-1_51KXU_2023-01-05_final.stac-item
2023-01-05 11:33:43	ga_s2bm_ard_3-2-1_51KVR_2023-01-05_final.stac-item
2023-01-05 11:33:58	ga_s2bm_ard_3-2-1_51KVQ_2023-01-05_final.stac-item
2023-01-05 11:34:13	ga_s2bm_ard_3-2-1_51JXN_2023-01-05_final.stac-item
2023-01-05 11:34:23	ga_s2bm_ard_3-2-1_51JWN_2023-01-05_final.stac-item
2023-01-05 11:35:39	ga_s2bm_ard_3-2-1_51JVH_2023-01-05_final.stac-item
2023-01-05 11:36:00	ga_s2bm_ard_3-2-1_51JTG_2023-01-05_final.stac-item
2023-01-05 11:36:03	ga_s2bm_ard_3-2-1_50JQM_2023-01-05_final.stac-item
2023-01-05 11:36:15	ga_s2bm_ard_3-2-1_51JTF_2023-01-05_final.stac-item
2023-01-05 11:36:18	ga_s2bm_ard_3-2-1_50JQL_2023-01-05_final.stac-item
2023-01-05 11:36:36	ga_s2bm_ard_3-2-1_50HPK_2023-01-05_final.stac-item
2023-01-05 11:36:55	ga_s2bm_ard_3-2-1_51HUC_2023-01-05_final.stac-item
2023-01-05 11:37:05	ga_s2bm_ard_3-2-1_50HPH_2023-01-05_final.stac-item
2023-01-06 11:04:19	ga_s2bm_ard_3-2-1_52JDT_2023-01-06_final.stac-item
2023-01-06 11:05:32	ga_s2bm_ard_3-2-1_52JDN_2023-01-06_final.stac-item
2023-01-06 11:05:46	ga_s2bm_ard_3-2-1_52JDM_2023-01-06_final.stac-item
2023-01-06 11:05:50	ga_s2bm_ard_3-2-1_52JCM_2023-01-06_final.stac-item
2023-01-06 11:05:57	ga_s2bm_ard_3-2-1_52JEL_2023-01-06_final.stac-item
2023-01-06 11:06:01	ga_s2bm_ard_3-2-1_52JDL_2023-01-06_final.stac-item
2023-01-07 12:13:56	ga_s2bm_ard_3-2-1_49KGR_2023-01-07_final.stac-item
2023-01-07 12:14:06	ga_s2bm_ard_3-2-1_49KHQ_2023-01-07_final.stac-item
2023-01-07 12:14:16	ga_s2bm_ard_3-2-1_50KKU_2023-01-07_final.stac-item
2023-01-07 12:14:19	ga_s2bm_ard_3-2-1_49KHP_2023-01-07_final.stac-item
2023-01-07 12:14:28	ga_s2bm_ard_3-2-1_49JHN_2023-01-07_final.stac-item
2023-01-07 12:14:39	ga_s2bm_ard_3-2-1_49JGN_2023-01-07_final.stac-item
2023-01-07 12:14:43	ga_s2bm_ard_3-2-1_49JFN_2023-01-07_final.stac-item
2023-01-08 11:40:58	ga_s2bm_ard_3-2-1_51LVG_2023-01-08_final.stac-item
2023-01-08 11:41:52	ga_s2bm_ard_3-2-1_51LWC_2023-01-08_final.stac-item
2023-01-08 11:42:06	ga_s2bm_ard_3-2-1_51KWB_2023-01-08_final.stac-item
2023-01-08 11:42:19	ga_s2bm_ard_3-2-1_51KWA_2023-01-08_final.stac-item
2023-01-08 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2023-01-08_final.stac-item
2023-01-08 11:43:29	ga_s2bm_ard_3-2-1_51KTS_2023-01-08_final.stac-item
2023-01-08 11:43:33	ga_s2bm_ard_3-2-1_51KVR_2023-01-08_final.stac-item
2023-01-08 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-01-08_final.stac-item
2023-01-08 11:43:44	ga_s2bm_ard_3-2-1_51KTR_2023-01-08_final.stac-item
2023-01-08 11:43:59	ga_s2bm_ard_3-2-1_51KTQ_2023-01-08_final.stac-item
2023-01-08 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2023-01-08_final.stac-item
2023-01-08 11:44:28	ga_s2bm_ard_3-2-1_51JTN_2023-01-08_final.stac-item
2023-01-08 11:44:31	ga_s2bm_ard_3-2-1_50JQT_2023-01-08_final.stac-item
2023-01-08 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2023-01-08_final.stac-item
2023-01-08 11:45:33	ga_s2bm_ard_3-2-1_50JPP_2023-01-08_final.stac-item
2023-01-08 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2023-01-08_final.stac-item
2023-01-08 11:45:54	ga_s2bm_ard_3-2-1_51JTG_2023-01-08_final.stac-item
2023-01-08 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2023-01-08_final.stac-item
2023-01-08 11:46:05	ga_s2bm_ard_3-2-1_51JTF_2023-01-08_final.stac-item
2023-01-08 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2023-01-08_final.stac-item
2023-01-08 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-01-08_final.stac-item
2023-01-08 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-08_final.stac-item
2023-01-08 11:46:23	ga_s2bm_ard_3-2-1_50JML_2023-01-08_final.stac-item
2023-01-08 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-08_final.stac-item
2023-01-08 11:46:38	ga_s2bm_ard_3-2-1_50HMK_2023-01-08_final.stac-item
2023-01-08 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-01-08_final.stac-item
2023-01-08 11:46:52	ga_s2bm_ard_3-2-1_50HMJ_2023-01-08_final.stac-item
2023-01-08 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2023-01-08_final.stac-item
2023-01-08 11:47:04	ga_s2bm_ard_3-2-1_50HNH_2023-01-08_final.stac-item
2023-01-08 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-08_final.stac-item
2023-01-09 11:14:06	ga_s2bm_ard_3-2-1_51KZP_2023-01-09_final.stac-item
2023-01-09 11:14:38	ga_s2bm_ard_3-2-1_51JYM_2023-01-09_final.stac-item
2023-01-09 11:15:19	ga_s2bm_ard_3-2-1_52JBP_2023-01-09_final.stac-item
2023-01-09 11:15:30	ga_s2bm_ard_3-2-1_52JCN_2023-01-09_final.stac-item
2023-01-09 11:15:33	ga_s2bm_ard_3-2-1_52JBN_2023-01-09_final.stac-item
2023-01-09 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2023-01-09_final.stac-item
2023-01-09 11:16:09	ga_s2bm_ard_3-2-1_51JXF_2023-01-09_final.stac-item
2023-01-21 11:50:36	ga_s2bm_ard_3-2-1_50LQP_2023-01-21_nrt.stac-item
2023-01-21 11:51:01	ga_s2bm_ard_3-2-1_50LRM_2023-01-21_nrt.stac-item
2023-01-21 11:51:15	ga_s2bm_ard_3-2-1_51LTF_2023-01-21_nrt.stac-item
2023-01-21 11:51:29	ga_s2bm_ard_3-2-1_51LTE_2023-01-21_nrt.stac-item
2023-01-21 11:52:28	ga_s2bm_ard_3-2-1_50KRF_2023-01-21_nrt.stac-item
2023-01-21 11:52:43	ga_s2bm_ard_3-2-1_50KRE_2023-01-21_nrt.stac-item
2023-01-21 11:56:31	ga_s2bm_ard_3-2-1_49JGF_2023-01-21_nrt.stac-item
2023-01-21 11:56:41	ga_s2bm_ard_3-2-1_50HKK_2023-01-21_nrt.stac-item
2023-01-21 11:57:04	ga_s2bm_ard_3-2-1_50HKJ_2023-01-21_nrt.stac-item
2023-01-21 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-01-21_nrt.stac-item
2023-01-21 11:57:12	ga_s2bm_ard_3-2-1_49HGC_2023-01-21_nrt.stac-item
2023-01-21 11:57:22	ga_s2bm_ard_3-2-1_50HKG_2023-01-21_nrt.stac-item
2023-01-21 11:57:23	ga_s2bm_ard_3-2-1_49HGB_2023-01-21_nrt.stac-item
2023-01-21 11:57:26	ga_s2bm_ard_3-2-1_49HFB_2023-01-21_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

Other products

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