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
2023-06-01 11:21:29	ga_s2bm_ard_3-2-1_51LZE_2023-06-01_final.stac-item
2023-06-01 11:22:02	ga_s2bm_ard_3-2-1_51LYC_2023-06-01_final.stac-item
2023-06-01 11:22:12	ga_s2bm_ard_3-2-1_51KZB_2023-06-01_final.stac-item
2023-06-01 11:22:30	ga_s2bm_ard_3-2-1_51KYA_2023-06-01_final.stac-item
2023-06-01 11:22:56	ga_s2bm_ard_3-2-1_51KZU_2023-06-01_final.stac-item
2023-06-01 11:22:59	ga_s2bm_ard_3-2-1_51KYU_2023-06-01_final.stac-item
2023-06-01 11:23:10	ga_s2bm_ard_3-2-1_51KZT_2023-06-01_final.stac-item
2023-06-01 11:23:14	ga_s2bm_ard_3-2-1_51KYT_2023-06-01_final.stac-item
2023-06-01 11:23:25	ga_s2bm_ard_3-2-1_51KZS_2023-06-01_final.stac-item
2023-06-01 11:23:46	ga_s2bm_ard_3-2-1_51KXR_2023-06-01_final.stac-item
2023-06-01 11:24:05	ga_s2bm_ard_3-2-1_51KWQ_2023-06-01_final.stac-item
2023-06-01 11:24:19	ga_s2bm_ard_3-2-1_51KWP_2023-06-01_final.stac-item
2023-06-01 11:24:26	ga_s2bm_ard_3-2-1_51JYN_2023-06-01_final.stac-item
2023-06-01 11:24:30	ga_s2bm_ard_3-2-1_51JXN_2023-06-01_final.stac-item
2023-06-01 11:24:36	ga_s2bm_ard_3-2-1_51JZM_2023-06-01_final.stac-item
2023-06-01 11:24:44	ga_s2bm_ard_3-2-1_51JXM_2023-06-01_final.stac-item
2023-06-01 11:24:48	ga_s2bm_ard_3-2-1_51JWM_2023-06-01_final.stac-item
2023-06-01 11:25:02	ga_s2bm_ard_3-2-1_51JWL_2023-06-01_final.stac-item
2023-06-01 11:25:09	ga_s2bm_ard_3-2-1_51JYK_2023-06-01_final.stac-item
2023-06-01 11:25:35	ga_s2bm_ard_3-2-1_51JVJ_2023-06-01_final.stac-item
2023-06-01 11:25:42	ga_s2bm_ard_3-2-1_51JXH_2023-06-01_final.stac-item
2023-06-01 11:25:56	ga_s2bm_ard_3-2-1_51JXG_2023-06-01_final.stac-item
2023-06-01 11:26:00	ga_s2bm_ard_3-2-1_51JWG_2023-06-01_final.stac-item
2023-06-01 11:26:15	ga_s2bm_ard_3-2-1_51JWF_2023-06-01_final.stac-item
2023-06-01 11:26:18	ga_s2bm_ard_3-2-1_51JVF_2023-06-01_final.stac-item
2023-06-01 11:26:33	ga_s2bm_ard_3-2-1_51HVE_2023-06-01_final.stac-item
2023-06-01 11:26:47	ga_s2bm_ard_3-2-1_51HVD_2023-06-01_final.stac-item
2023-06-01 11:26:51	ga_s2bm_ard_3-2-1_51HXC_2023-06-01_final.stac-item
2023-06-01 11:26:58	ga_s2bm_ard_3-2-1_51HWC_2023-06-01_final.stac-item
2023-06-01 11:27:15	ga_s2bm_ard_3-2-1_51HUB_2023-06-01_final.stac-item
2023-06-03 12:03:24	ga_s2bm_ard_3-2-1_50KNC_2023-06-03_final.stac-item
2023-06-03 12:03:42	ga_s2bm_ard_3-2-1_50KMB_2023-06-03_final.stac-item
2023-06-03 12:03:45	ga_s2bm_ard_3-2-1_50KLB_2023-06-03_final.stac-item
2023-06-03 12:03:48	ga_s2bm_ard_3-2-1_50KNA_2023-06-03_final.stac-item
2023-06-03 12:03:48	ga_s2bm_ard_3-2-1_49KHS_2023-06-03_final.stac-item
2023-06-03 12:03:56	ga_s2bm_ard_3-2-1_50KMA_2023-06-03_final.stac-item
2023-06-03 12:04:00	ga_s2bm_ard_3-2-1_50KLA_2023-06-03_final.stac-item
2023-06-03 12:04:10	ga_s2bm_ard_3-2-1_50KMV_2023-06-03_final.stac-item
2023-06-03 12:04:17	ga_s2bm_ard_3-2-1_50KKV_2023-06-03_final.stac-item
2023-06-03 12:04:29	ga_s2bm_ard_3-2-1_49KHP_2023-06-03_final.stac-item
2023-06-03 12:04:36	ga_s2bm_ard_3-2-1_49KHP_2023-06-03_final.stac-item
2023-06-03 12:04:40	ga_s2bm_ard_3-2-1_50JMT_2023-06-03_final.stac-item
2023-06-03 12:04:46	ga_s2bm_ard_3-2-1_49JHN_2023-06-03_final.stac-item
2023-06-03 12:04:52	ga_s2bm_ard_3-2-1_50JMS_2023-06-03_final.stac-item
2023-06-03 12:04:58	ga_s2bm_ard_3-2-1_50JLS_2023-06-03_final.stac-item
2023-06-03 12:05:01	ga_s2bm_ard_3-2-1_49JHM_2023-06-03_final.stac-item
2023-06-03 12:05:01	ga_s2bm_ard_3-2-1_50JKS_2023-06-03_final.stac-item
2023-06-03 12:05:12	ga_s2bm_ard_3-2-1_50JLR_2023-06-03_final.stac-item
2023-06-03 12:05:16	ga_s2bm_ard_3-2-1_50JKR_2023-06-03_final.stac-item
2023-06-03 12:05:19	ga_s2bm_ard_3-2-1_49JGL_2023-06-03_final.stac-item
2023-06-03 12:05:30	ga_s2bm_ard_3-2-1_50JKQ_2023-06-03_final.stac-item
2023-06-03 12:05:55	ga_s2bm_ard_3-2-1_50JLN_2023-06-03_final.stac-item
2023-06-03 12:06:08	ga_s2bm_ard_3-2-1_50JLM_2023-06-03_final.stac-item
2023-06-03 12:06:14	ga_s2bm_ard_3-2-1_50JKM_2023-06-03_final.stac-item
2023-06-04 11:31:39	ga_s2bm_ard_3-2-1_51LZD_2023-06-04_final.stac-item
2023-06-04 11:31:57	ga_s2bm_ard_3-2-1_51LYC_2023-06-04_final.stac-item
2023-06-04 11:32:03	ga_s2bm_ard_3-2-1_51KZB_2023-06-04_final.stac-item
2023-06-04 11:32:15	ga_s2bm_ard_3-2-1_51KXB_2023-06-04_final.stac-item
2023-06-04 11:32:26	ga_s2bm_ard_3-2-1_51KYA_2023-06-04_final.stac-item
2023-06-04 11:32:30	ga_s2bm_ard_3-2-1_51KXA_2023-06-04_final.stac-item
2023-06-04 11:32:44	ga_s2bm_ard_3-2-1_51KXV_2023-06-04_final.stac-item
2023-06-04 11:32:48	ga_s2bm_ard_3-2-1_51KWV_2023-06-04_final.stac-item
2023-06-04 11:32:51	ga_s2bm_ard_3-2-1_51KVV_2023-06-04_final.stac-item
2023-06-04 11:32:55	ga_s2bm_ard_3-2-1_51KYU_2023-06-04_final.stac-item
2023-06-04 11:33:26	ga_s2bm_ard_3-2-1_51KUT_2023-06-04_final.stac-item
2023-06-04 11:33:28	ga_s2bm_ard_3-2-1_51KXS_2023-06-04_final.stac-item
2023-06-04 11:33:42	ga_s2bm_ard_3-2-1_51KXR_2023-06-04_final.stac-item
2023-06-04 11:34:00	ga_s2bm_ard_3-2-1_51KWQ_2023-06-04_final.stac-item
2023-06-04 11:34:07	ga_s2bm_ard_3-2-1_51KUQ_2023-06-04_final.stac-item
2023-06-04 11:34:15	ga_s2bm_ard_3-2-1_51KWP_2023-06-04_final.stac-item
2023-06-04 11:34:19	ga_s2bm_ard_3-2-1_51JXN_2023-06-04_final.stac-item
2023-06-04 11:34:22	ga_s2bm_ard_3-2-1_51KUP_2023-06-04_final.stac-item
2023-06-04 11:34:40	ga_s2bm_ard_3-2-1_51JTN_2023-06-04_final.stac-item
2023-06-04 11:34:58	ga_s2bm_ard_3-2-1_51JWL_2023-06-04_final.stac-item
2023-06-04 11:35:20	ga_s2bm_ard_3-2-1_51JUK_2023-06-04_final.stac-item
2023-06-04 11:35:31	ga_s2bm_ard_3-2-1_51JVJ_2023-06-04_final.stac-item
2023-06-04 11:35:34	ga_s2bm_ard_3-2-1_51JUJ_2023-06-04_final.stac-item
2023-06-04 11:35:49	ga_s2bm_ard_3-2-1_51JUH_2023-06-04_final.stac-item
2023-06-04 11:35:52	ga_s2bm_ard_3-2-1_51JTH_2023-06-04_final.stac-item
2023-06-04 11:36:09	ga_s2bm_ard_3-2-1_50JQM_2023-06-04_final.stac-item
2023-06-04 11:36:14	ga_s2bm_ard_3-2-1_51JVF_2023-06-04_final.stac-item
2023-06-04 11:36:24	ga_s2bm_ard_3-2-1_50JQL_2023-06-04_final.stac-item
2023-06-04 11:36:27	ga_s2bm_ard_3-2-1_51HVE_2023-06-04_final.stac-item
2023-06-04 11:36:30	ga_s2bm_ard_3-2-1_50JPL_2023-06-04_final.stac-item
2023-06-04 11:36:36	ga_s2bm_ard_3-2-1_51HTE_2023-06-04_final.stac-item
2023-06-04 11:36:38	ga_s2bm_ard_3-2-1_51HVD_2023-06-04_final.stac-item
2023-06-04 11:36:38	ga_s2bm_ard_3-2-1_50HQK_2023-06-04_final.stac-item
2023-06-04 11:36:42	ga_s2bm_ard_3-2-1_50HPK_2023-06-04_final.stac-item
2023-06-04 11:37:16	ga_s2bm_ard_3-2-1_51HUB_2023-06-04_final.stac-item
2023-06-04 11:37:21	ga_s2bm_ard_3-2-1_50HQG_2023-06-04_final.stac-item
2023-06-04 11:37:25	ga_s2bm_ard_3-2-1_50HPG_2023-06-04_final.stac-item
2023-06-05 11:06:40	ga_s2bm_ard_3-2-1_51HYD_2023-06-05_final.stac-item
2023-06-14 11:30:34	ga_s2bm_ard_3-2-1_51LXJ_2023-06-14_nrt.stac-item
2023-06-14 11:30:49	ga_s2bm_ard_3-2-1_51LXH_2023-06-14_nrt.stac-item
2023-06-14 11:30:57	ga_s2bm_ard_3-2-1_51LZG_2023-06-14_nrt.stac-item
2023-06-14 11:31:11	ga_s2bm_ard_3-2-1_51LZF_2023-06-14_nrt.stac-item
2023-06-14 11:31:22	ga_s2bm_ard_3-2-1_51LWF_2023-06-14_nrt.stac-item
2023-06-14 11:37:30	ga_s2bm_ard_3-2-1_51HUA_2023-06-14_nrt.stac-item
2023-06-14 11:37:33	ga_s2bm_ard_3-2-1_51HTA_2023-06-14_nrt.stac-item
2023-06-14 11:37:35	ga_s2bm_ard_3-2-1_50HPF_2023-06-14_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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