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
2023-02-18 11:16:53	ga_s2bm_ard_3-2-1_51HXC_2023-02-18_final.stac-item
2023-09-29 11:24:25	ga_s2bm_ard_3-2-1_51JYN_2023-09-29_final.stac-item
2023-09-29 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-09-29_final.stac-item
2023-09-29 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-09-29_final.stac-item
2023-09-29 11:24:47	ga_s2bm_ard_3-2-1_51JWM_2023-09-29_final.stac-item
2023-09-29 11:25:01	ga_s2bm_ard_3-2-1_51JWL_2023-09-29_final.stac-item
2023-09-29 11:25:08	ga_s2bm_ard_3-2-1_51JYK_2023-09-29_final.stac-item
2023-09-29 11:25:19	ga_s2bm_ard_3-2-1_51JVK_2023-09-29_final.stac-item
2023-09-29 11:25:23	ga_s2bm_ard_3-2-1_51JYJ_2023-09-29_final.stac-item
2023-09-29 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-09-29_final.stac-item
2023-09-29 11:25:45	ga_s2bm_ard_3-2-1_51JWH_2023-09-29_final.stac-item
2023-09-29 11:25:53	ga_s2bm_ard_3-2-1_51JXG_2023-09-29_final.stac-item
2023-09-29 11:25:56	ga_s2bm_ard_3-2-1_51JWG_2023-09-29_final.stac-item
2023-09-29 11:26:00	ga_s2bm_ard_3-2-1_51JXG_2023-09-29_final.stac-item
2023-09-29 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2023-09-29_final.stac-item
2023-09-29 11:26:14	ga_s2bm_ard_3-2-1_51JWF_2023-09-29_final.stac-item
2023-09-29 11:26:17	ga_s2bm_ard_3-2-1_51JVF_2023-09-29_final.stac-item
2023-09-29 11:26:25	ga_s2bm_ard_3-2-1_51HXE_2023-09-29_final.stac-item
2023-09-29 11:26:35	ga_s2bm_ard_3-2-1_51HUE_2023-09-29_final.stac-item
2023-09-29 11:26:38	ga_s2bm_ard_3-2-1_51HXD_2023-09-29_final.stac-item
2023-09-29 11:26:50	ga_s2bm_ard_3-2-1_51HXC_2023-09-29_final.stac-item
2023-09-29 11:26:57	ga_s2bm_ard_3-2-1_51HWC_2023-09-29_final.stac-item
2023-09-29 11:27:01	ga_s2bm_ard_3-2-1_51HVC_2023-09-29_final.stac-item
2023-09-29 11:27:13	ga_s2bm_ard_3-2-1_51HVB_2023-09-29_final.stac-item
2023-09-29 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2023-09-29_final.stac-item
2023-10-01 12:03:39	ga_s2bm_ard_3-2-1_50KMB_2023-10-01_final.stac-item
2023-10-01 12:03:43	ga_s2bm_ard_3-2-1_50KLB_2023-10-01_final.stac-item
2023-10-01 12:03:46	ga_s2bm_ard_3-2-1_50KKB_2023-10-01_final.stac-item
2023-10-01 12:03:54	ga_s2bm_ard_3-2-1_50KMA_2023-10-01_final.stac-item
2023-10-01 12:03:57	ga_s2bm_ard_3-2-1_50KLA_2023-10-01_final.stac-item
2023-10-01 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-10-01_final.stac-item
2023-10-01 12:04:08	ga_s2bm_ard_3-2-1_50KMV_2023-10-01_final.stac-item
2023-10-01 12:04:15	ga_s2bm_ard_3-2-1_50KKV_2023-10-01_final.stac-item
2023-10-01 12:04:15	ga_s2bm_ard_3-2-1_49KHQ_2023-10-01_final.stac-item
2023-10-01 12:04:27	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final.stac-item
2023-10-01 12:04:29	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-10-01 12:04:32	ga_s2bm_ard_3-2-1_50JMT_2023-10-01_final.stac-item
2023-10-01 12:04:34	ga_s2bm_ard_3-2-1_49KHP_2023-10-01_final.stac-item
2023-10-01 12:04:36	ga_s2bm_ard_3-2-1_49KGP_2023-10-01_final.stac-item
2023-10-01 12:04:41	ga_s2bm_ard_3-2-1_50JLT_2023-10-01_final.stac-item
2023-10-01 12:04:44	ga_s2bm_ard_3-2-1_49JHN_2023-10-01_final.stac-item
2023-10-01 12:04:44	ga_s2bm_ard_3-2-1_50JKT_2023-10-01_final.stac-item
2023-10-01 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-10-01_final.stac-item
2023-10-01 12:04:50	ga_s2bm_ard_3-2-1_50JMS_2023-10-01_final.stac-item
2023-10-01 12:04:59	ga_s2bm_ard_3-2-1_49JHM_2023-10-01_final.stac-item
2023-10-01 12:05:02	ga_s2bm_ard_3-2-1_49JGM_2023-10-01_final.stac-item
2023-10-01 12:05:14	ga_s2bm_ard_3-2-1_50JKR_2023-10-01_final.stac-item
2023-10-01 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-10-01_final.stac-item
2023-10-01 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-10-01_final.stac-item
2023-10-01 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-10-01_final.stac-item
2023-10-01 12:05:31	ga_s2bm_ard_3-2-1_49JGK_2023-10-01_final.stac-item
2023-10-01 12:05:39	ga_s2bm_ard_3-2-1_50JLP_2023-10-01_final.stac-item
2023-10-01 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-10-01_final.stac-item
2023-10-01 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-10-01_final.stac-item
2023-10-01 12:05:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-01_final.stac-item
2023-10-01 12:06:00	ga_s2bm_ard_3-2-1_49JGH_2023-10-01_final.stac-item
2023-10-01 12:06:12	ga_s2bm_ard_3-2-1_50JKM_2023-10-01_final.stac-item
2023-10-01 12:06:16	ga_s2bm_ard_3-2-1_50JLL_2023-10-01_final.stac-item
2023-10-02 11:32:21	ga_s2bm_ard_3-2-1_51KVB_2023-10-02_final.stac-item
2023-10-02 11:34:04	ga_s2bm_ard_3-2-1_51KUQ_2023-10-02_final.stac-item
2023-10-02 11:34:33	ga_s2bm_ard_3-2-1_51JUN_2023-10-02_final.stac-item
2023-10-02 11:34:50	ga_s2bm_ard_3-2-1_50JRS_2023-10-02_final.stac-item
2023-10-02 11:34:51	ga_s2bm_ard_3-2-1_51JTM_2023-10-02_final.stac-item
2023-10-02 11:34:56	ga_s2bm_ard_3-2-1_51JWL_2023-10-02_final.stac-item
2023-10-02 11:35:14	ga_s2bm_ard_3-2-1_51JVK_2023-10-02_final.stac-item
2023-10-02 11:35:17	ga_s2bm_ard_3-2-1_51JUK_2023-10-02_final.stac-item
2023-10-02 11:35:32	ga_s2bm_ard_3-2-1_51JUJ_2023-10-02_final.stac-item
2023-10-02 11:35:35	ga_s2bm_ard_3-2-1_51JTJ_2023-10-02_final.stac-item
2023-10-02 11:35:49	ga_s2bm_ard_3-2-1_51JTH_2023-10-02_final.stac-item
2023-10-02 11:36:07	ga_s2bm_ard_3-2-1_50JQM_2023-10-02_final.stac-item
2023-10-02 11:36:12	ga_s2bm_ard_3-2-1_51JVF_2023-10-02_final.stac-item
2023-10-02 11:36:28	ga_s2bm_ard_3-2-1_50JPL_2023-10-02_final.stac-item
2023-10-02 11:36:35	ga_s2bm_ard_3-2-1_50HQK_2023-10-02_final.stac-item
2023-10-02 11:36:39	ga_s2bm_ard_3-2-1_50HPK_2023-10-02_final.stac-item
2023-10-02 11:36:48	ga_s2bm_ard_3-2-1_51HTD_2023-10-02_final.stac-item
2023-10-02 11:37:08	ga_s2bm_ard_3-2-1_50HPH_2023-10-02_final.stac-item
2023-10-02 11:37:19	ga_s2bm_ard_3-2-1_50HQG_2023-10-02_final.stac-item
2023-10-02 11:37:22	ga_s2bm_ard_3-2-1_50HPG_2023-10-02_final.stac-item
2023-10-02 11:37:28	ga_s2bm_ard_3-2-1_50HNG_2023-10-02_final.stac-item
2023-10-11 12:00:25	ga_s2bm_ard_3-2-1_50LRP_2023-10-11_nrt.stac-item
2023-10-11 12:00:35	ga_s2bm_ard_3-2-1_50LQP_2023-10-11_nrt.stac-item
2023-10-11 12:00:42	ga_s2bm_ard_3-2-1_50LNP_2023-10-11_nrt.stac-item
2023-10-11 12:00:46	ga_s2bm_ard_3-2-1_50LMP_2023-10-11_nrt.stac-item
2023-10-11 12:00:49	ga_s2bm_ard_3-2-1_50LQN_2023-10-11_nrt.stac-item
2023-10-11 12:00:56	ga_s2bm_ard_3-2-1_50LNN_2023-10-11_nrt.stac-item
2023-10-11 12:01:11	ga_s2bm_ard_3-2-1_50LNM_2023-10-11_nrt.stac-item
2023-10-11 12:01:29	ga_s2bm_ard_3-2-1_50LML_2023-10-11_nrt.stac-item
2023-10-11 12:01:36	ga_s2bm_ard_3-2-1_50LNK_2023-10-11_nrt.stac-item
2023-10-11 12:01:38	ga_s2bm_ard_3-2-1_50LMK_2023-10-11_nrt.stac-item
2023-10-11 12:03:19	ga_s2bm_ard_3-2-1_49KHU_2023-10-11_nrt.stac-item
2023-10-11 12:03:31	ga_s2bm_ard_3-2-1_50KKC_2023-10-11_nrt.stac-item
2023-10-11 12:05:21	ga_s2bm_ard_3-2-1_49JFL_2023-10-11_nrt.stac-item
2023-10-11 12:05:34	ga_s2bm_ard_3-2-1_49JFK_2023-10-11_nrt.stac-item
2023-10-11 12:06:04	ga_s2bm_ard_3-2-1_49JFH_2023-10-11_nrt.stac-item
2023-10-11 12:06:18	ga_s2bm_ard_3-2-1_49JFG_2023-10-11_nrt.stac-item
2023-10-11 12:06:23	ga_s2bm_ard_3-2-1_50JKL_2023-10-11_nrt.stac-item
2023-10-11 12:06:25	ga_s2bm_ard_3-2-1_49JGF_2023-10-11_nrt.stac-item
2023-10-12 11:37:27	ga_s2bm_ard_3-2-1_51HUA_2023-10-12_nrt.stac-item
2023-10-12 11:37:30	ga_s2bm_ard_3-2-1_51HTA_2023-10-12_nrt.stac-item
2023-10-12 11:37:30	ga_s2bm_ard_3-2-1_50HQF_2023-10-12_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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