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
2022-11-26 11:32:10	ga_s2bm_ard_3-2-1_51KXB_2022-11-26_final.stac-item
2022-11-26 11:32:25	ga_s2bm_ard_3-2-1_51KXA_2022-11-26_final.stac-item
2022-11-26 11:32:43	ga_s2bm_ard_3-2-1_51KWV_2022-11-26_final.stac-item
2022-11-26 11:32:46	ga_s2bm_ard_3-2-1_51KVV_2022-11-26_final.stac-item
2022-11-26 11:33:01	ga_s2bm_ard_3-2-1_51KVU_2022-11-26_final.stac-item
2022-11-26 11:33:21	ga_s2bm_ard_3-2-1_51KUT_2022-11-26_final.stac-item
2022-11-26 11:33:44	ga_s2bm_ard_3-2-1_51KVR_2022-11-26_final.stac-item
2022-11-26 11:33:55	ga_s2bm_ard_3-2-1_51KWQ_2022-11-26_final.stac-item
2022-11-26 11:33:59	ga_s2bm_ard_3-2-1_51KVQ_2022-11-26_final.stac-item
2022-11-26 11:34:02	ga_s2bm_ard_3-2-1_51KUQ_2022-11-26_final.stac-item
2022-11-26 11:34:10	ga_s2bm_ard_3-2-1_51KWP_2022-11-26_final.stac-item
2022-11-26 11:34:13	ga_s2bm_ard_3-2-1_51KVP_2022-11-26_final.stac-item
2022-11-26 11:34:14	ga_s2bm_ard_3-2-1_51JXN_2022-11-26_final.stac-item
2022-11-26 11:34:17	ga_s2bm_ard_3-2-1_51KUP_2022-11-26_final.stac-item
2022-11-26 11:34:31	ga_s2bm_ard_3-2-1_51JUN_2022-11-26_final.stac-item
2022-11-26 11:34:36	ga_s2bm_ard_3-2-1_50JRT_2022-11-26_final.stac-item
2022-11-26 11:34:39	ga_s2bm_ard_3-2-1_51JWM_2022-11-26_final.stac-item
2022-11-26 11:34:53	ga_s2bm_ard_3-2-1_51JWL_2022-11-26_final.stac-item
2022-11-26 11:35:03	ga_s2bm_ard_3-2-1_51JTL_2022-11-26_final.stac-item
2022-11-26 11:35:11	ga_s2bm_ard_3-2-1_51JVK_2022-11-26_final.stac-item
2022-11-26 11:35:18	ga_s2bm_ard_3-2-1_51JTK_2022-11-26_final.stac-item
2022-11-26 11:35:26	ga_s2bm_ard_3-2-1_51JVJ_2022-11-26_final.stac-item
2022-11-26 11:35:58	ga_s2bm_ard_3-2-1_51JUG_2022-11-26_final.stac-item
2022-11-26 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2022-11-26_final.stac-item
2022-11-26 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2022-11-26_final.stac-item
2022-11-26 11:36:09	ga_s2bm_ard_3-2-1_51JVF_2022-11-26_final.stac-item
2022-11-26 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2022-11-26_final.stac-item
2022-11-26 11:36:16	ga_s2bm_ard_3-2-1_51JTF_2022-11-26_final.stac-item
2022-11-26 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2022-11-26_final.stac-item
2022-11-26 11:36:23	ga_s2bm_ard_3-2-1_51HVE_2022-11-26_final.stac-item
2022-11-26 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2022-11-26_final.stac-item
2022-11-26 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2022-11-26_final.stac-item
2022-11-26 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2022-11-26_final.stac-item
2022-11-26 11:36:37	ga_s2bm_ard_3-2-1_50HPK_2022-11-26_final.stac-item
2022-11-26 11:36:46	ga_s2bm_ard_3-2-1_51HTD_2022-11-26_final.stac-item
2022-11-27 11:06:36	ga_s2bm_ard_3-2-1_51HYD_2022-11-27_final.stac-item
2022-11-28 12:13:53	ga_s2bm_ard_3-2-1_50KKA_2022-11-28_final.stac-item
2022-11-28 12:13:57	ga_s2bm_ard_3-2-1_49KGR_2022-11-28_final.stac-item
2022-11-28 12:14:08	ga_s2bm_ard_3-2-1_49KHQ_2022-11-28_final.stac-item
2022-11-28 12:14:12	ga_s2bm_ard_3-2-1_49KGQ_2022-11-28_final.stac-item
2022-11-28 12:14:17	ga_s2bm_ard_3-2-1_50KKU_2022-11-28_final.stac-item
2022-11-28 12:14:20	ga_s2bm_ard_3-2-1_49KHP_2022-11-28_final.stac-item
2022-11-28 12:14:26	ga_s2bm_ard_3-2-1_49KGP_2022-11-28_final.stac-item
2022-11-28 12:14:30	ga_s2bm_ard_3-2-1_49JHN_2022-11-28_final.stac-item
2022-11-28 12:14:40	ga_s2bm_ard_3-2-1_49JGN_2022-11-28_final.stac-item
2022-11-28 12:14:44	ga_s2bm_ard_3-2-1_49JFN_2022-11-28_final.stac-item
2022-11-28 12:14:55	ga_s2bm_ard_3-2-1_49JGM_2022-11-28_final.stac-item
2022-11-28 12:14:59	ga_s2bm_ard_3-2-1_49JFM_2022-11-28_final.stac-item
2022-11-28 12:15:09	ga_s2bm_ard_3-2-1_49JGL_2022-11-28_final.stac-item
2022-11-29 11:42:41	ga_s2bm_ard_3-2-1_51KVV_2022-11-29_final.stac-item
2022-11-29 11:42:44	ga_s2bm_ard_3-2-1_51KUV_2022-11-29_final.stac-item
2022-11-29 11:42:55	ga_s2bm_ard_3-2-1_51KVU_2022-11-29_final.stac-item
2022-11-29 11:42:59	ga_s2bm_ard_3-2-1_51KUU_2022-11-29_final.stac-item
2022-11-29 11:43:13	ga_s2bm_ard_3-2-1_51KUT_2022-11-29_final.stac-item
2022-11-29 11:43:17	ga_s2bm_ard_3-2-1_51KTT_2022-11-29_final.stac-item
2022-11-29 11:43:17	ga_s2bm_ard_3-2-1_50KRC_2022-11-29_final.stac-item
2022-11-29 11:43:31	ga_s2bm_ard_3-2-1_51KTS_2022-11-29_final.stac-item
2022-11-29 11:43:34	ga_s2bm_ard_3-2-1_51KVR_2022-11-29_final.stac-item
2022-11-29 11:43:35	ga_s2bm_ard_3-2-1_50KQB_2022-11-29_final.stac-item
2022-11-29 11:43:46	ga_s2bm_ard_3-2-1_51KTR_2022-11-29_final.stac-item
2022-11-29 11:43:46	ga_s2bm_ard_3-2-1_50KRA_2022-11-29_final.stac-item
2022-11-29 11:43:50	ga_s2bm_ard_3-2-1_50KQA_2022-11-29_final.stac-item
2022-11-29 11:43:57	ga_s2bm_ard_3-2-1_51KUQ_2022-11-29_final.stac-item
2022-11-29 11:44:00	ga_s2bm_ard_3-2-1_51KTQ_2022-11-29_final.stac-item
2022-11-29 11:44:01	ga_s2bm_ard_3-2-1_50KRV_2022-11-29_final.stac-item
2022-11-29 11:44:12	ga_s2bm_ard_3-2-1_51KUP_2022-11-29_final.stac-item
2022-11-29 11:44:26	ga_s2bm_ard_3-2-1_51JUN_2022-11-29_final.stac-item
2022-11-29 11:44:29	ga_s2bm_ard_3-2-1_50JRT_2022-11-29_final.stac-item
2022-11-29 11:44:47	ga_s2bm_ard_3-2-1_50JQS_2022-11-29_final.stac-item
2022-11-29 11:44:58	ga_s2bm_ard_3-2-1_51JTL_2022-11-29_final.stac-item
2022-11-29 11:45:02	ga_s2bm_ard_3-2-1_50JQR_2022-11-29_final.stac-item
2022-11-29 11:45:05	ga_s2bm_ard_3-2-1_50JPR_2022-11-29_final.stac-item
2022-11-29 11:45:13	ga_s2bm_ard_3-2-1_51JTK_2022-11-29_final.stac-item
2022-11-29 11:45:16	ga_s2bm_ard_3-2-1_50JQQ_2022-11-29_final.stac-item
2022-11-29 11:45:20	ga_s2bm_ard_3-2-1_50JPQ_2022-11-29_final.stac-item
2022-11-29 11:45:38	ga_s2bm_ard_3-2-1_50JNP_2022-11-29_final.stac-item
2022-11-29 11:45:53	ga_s2bm_ard_3-2-1_50JNN_2022-11-29_final.stac-item
2022-11-29 11:45:55	ga_s2bm_ard_3-2-1_51JTG_2022-11-29_final.stac-item
2022-11-29 11:45:59	ga_s2bm_ard_3-2-1_50JQM_2022-11-29_final.stac-item
2022-11-29 11:46:06	ga_s2bm_ard_3-2-1_51JTF_2022-11-29_final.stac-item
2022-11-29 11:46:11	ga_s2bm_ard_3-2-1_50JMM_2022-11-29_final.stac-item
2022-11-29 11:46:14	ga_s2bm_ard_3-2-1_50JQL_2022-11-29_final.stac-item
2022-11-29 11:46:18	ga_s2bm_ard_3-2-1_50JPL_2022-11-29_final.stac-item
2022-11-29 11:46:29	ga_s2bm_ard_3-2-1_50HQK_2022-11-29_final.stac-item
2022-11-29 11:46:32	ga_s2bm_ard_3-2-1_50HPK_2022-11-29_final.stac-item
2022-11-29 11:46:36	ga_s2bm_ard_3-2-1_50HNK_2022-11-29_final.stac-item
2022-11-29 11:46:39	ga_s2bm_ard_3-2-1_50HMK_2022-11-29_final.stac-item
2022-11-29 11:46:54	ga_s2bm_ard_3-2-1_50HMJ_2022-11-29_final.stac-item
2022-11-29 11:47:13	ga_s2bm_ard_3-2-1_50HLH_2022-11-29_final.stac-item
2022-11-30 11:14:27	ga_s2bm_ard_3-2-1_51JYN_2022-11-30_final.stac-item
2022-11-30 11:14:36	ga_s2bm_ard_3-2-1_51JZM_2022-11-30_final.stac-item
2022-11-30 11:15:09	ga_s2bm_ard_3-2-1_51JYK_2022-11-30_final.stac-item
2022-11-30 11:15:23	ga_s2bm_ard_3-2-1_51JYJ_2022-11-30_final.stac-item
2022-11-30 11:15:41	ga_s2bm_ard_3-2-1_51JXH_2022-11-30_final.stac-item
2022-11-30 11:15:56	ga_s2bm_ard_3-2-1_51JXG_2022-11-30_final.stac-item
2022-11-30 11:16:06	ga_s2bm_ard_3-2-1_51JYF_2022-11-30_final.stac-item
2022-11-30 11:16:18	ga_s2bm_ard_3-2-1_51JWF_2022-11-30_final.stac-item
2022-11-30 11:16:21	ga_s2bm_ard_3-2-1_51HYE_2022-11-30_final.stac-item
2022-11-30 11:16:35	ga_s2bm_ard_3-2-1_51HYD_2022-11-30_final.stac-item
2022-12-28 12:10:28	ga_s2bm_ard_3-2-1_50LNP_2022-12-28_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

All years