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
2024-04-22 09:59:38	ga_s2bm_ard_3-2-1_55LHJ_2024-04-22_nrt.stac-item
2024-04-22 09:59:44	ga_s2bm_ard_3-2-1_55LGJ_2024-04-22_nrt.stac-item
2024-04-22 09:59:47	ga_s2bm_ard_3-2-1_55LFJ_2024-04-22_nrt.stac-item
2024-04-22 09:59:51	ga_s2bm_ard_3-2-1_55LEJ_2024-04-22_nrt.stac-item
2024-04-22 10:00:13	ga_s2bm_ard_3-2-1_55LGG_2024-04-22_nrt.stac-item
2024-04-22 10:00:16	ga_s2bm_ard_3-2-1_55LFG_2024-04-22_nrt.stac-item
2024-04-22 10:00:45	ga_s2bm_ard_3-2-1_55LFE_2024-04-22_nrt.stac-item
2024-04-22 10:00:49	ga_s2bm_ard_3-2-1_55LEE_2024-04-22_nrt.stac-item
2024-04-22 10:00:52	ga_s2bm_ard_3-2-1_55LDE_2024-04-22_nrt.stac-item
2024-04-22 10:01:29	ga_s2bm_ard_3-2-1_55KFB_2024-04-22_final.stac-item
2024-04-22 10:01:38	ga_s2bm_ard_3-2-1_55KCB_2024-04-22_final.stac-item
2024-04-22 10:01:47	ga_s2bm_ard_3-2-1_55KEA_2024-04-22_nrt.stac-item
2024-04-22 10:01:50	ga_s2bm_ard_3-2-1_55KDA_2024-04-22_final.stac-item
2024-04-22 10:02:30	ga_s2bm_ard_3-2-1_55KET_2024-04-22_final.stac-item
2024-04-22 10:02:40	ga_s2bm_ard_3-2-1_55KBT_2024-04-22_final.stac-item
2024-04-22 10:02:55	ga_s2bm_ard_3-2-1_55KBS_2024-04-22_final.stac-item
2024-04-22 10:02:55	ga_s2bm_ard_3-2-1_54KZB_2024-04-22_final.stac-item
2024-04-22 10:03:09	ga_s2bm_ard_3-2-1_55KBR_2024-04-22_final.stac-item
2024-04-22 10:03:09	ga_s2bm_ard_3-2-1_54KZA_2024-04-22_final.stac-item
2024-04-22 10:03:21	ga_s2bm_ard_3-2-1_55KCQ_2024-04-22_nrt.stac-item
2024-04-22 10:03:24	ga_s2bm_ard_3-2-1_54KZV_2024-04-22_final.stac-item
2024-04-22 10:03:38	ga_s2bm_ard_3-2-1_54KZU_2024-04-22_final.stac-item
2024-04-22 10:03:53	ga_s2bm_ard_3-2-1_54JZT_2024-04-22_nrt.stac-item
2024-04-22 10:04:07	ga_s2bm_ard_3-2-1_54JZS_2024-04-22_final.stac-item
2024-04-22 10:04:11	ga_s2bm_ard_3-2-1_54JYS_2024-04-22_final.stac-item
2024-04-22 10:04:23	ga_s2bm_ard_3-2-1_55JDK_2024-04-22_final.stac-item
2024-04-22 10:04:40	ga_s2bm_ard_3-2-1_54JYQ_2024-04-22_final.stac-item
2024-04-22 10:04:51	ga_s2bm_ard_3-2-1_55JBJ_2024-04-22_final.stac-item
2024-04-22 10:04:54	ga_s2bm_ard_3-2-1_54JYP_2024-04-22_nrt.stac-item
2024-04-22 10:05:52	ga_s2bm_ard_3-2-1_54HYK_2024-04-22_final.stac-item
2024-04-22 10:06:04	ga_s2bm_ard_3-2-1_55HBD_2024-04-22_final.stac-item
2024-04-22 10:06:06	ga_s2bm_ard_3-2-1_54HYJ_2024-04-22_final.stac-item
2024-04-22 10:06:19	ga_s2bm_ard_3-2-1_55HBC_2024-04-22_nrt.stac-item
2024-04-22 10:06:20	ga_s2bm_ard_3-2-1_54HYH_2024-04-22_final.stac-item
2024-04-22 10:06:28	ga_s2bm_ard_3-2-1_54HWH_2024-04-22_final.stac-item
2024-04-22 10:06:33	ga_s2bm_ard_3-2-1_55HBB_2024-04-22_nrt.stac-item
2024-04-22 10:06:34	ga_s2bm_ard_3-2-1_54HVH_2024-04-22_nrt.stac-item
2024-04-22 10:06:35	ga_s2bm_ard_3-2-1_54HYG_2024-04-22_final.stac-item
2024-04-22 10:06:39	ga_s2bm_ard_3-2-1_54HXG_2024-04-22_final.stac-item
2024-04-22 10:06:56	ga_s2bm_ard_3-2-1_55HBV_2024-04-22_final.stac-item
2024-04-22 10:06:57	ga_s2bm_ard_3-2-1_54HWF_2024-04-22_final.stac-item
2024-04-22 10:07:01	ga_s2bm_ard_3-2-1_54HVF_2024-04-22_final.stac-item
2024-04-22 10:07:03	ga_s2bm_ard_3-2-1_54HYE_2024-04-22_nrt.stac-item
2024-04-22 10:07:08	ga_s2bm_ard_3-2-1_54HXE_2024-04-22_final.stac-item
2024-04-22 10:07:12	ga_s2bm_ard_3-2-1_54HWE_2024-04-22_final.stac-item
2024-04-22 10:07:15	ga_s2bm_ard_3-2-1_54HVE_2024-04-22_final.stac-item
2024-04-22 10:07:47	ga_s2bm_ard_3-2-1_54HXB_2024-04-22_nrt.stac-item
2024-04-22 10:07:48	ga_s2bm_ard_3-2-1_54HWB_2024-04-22_nrt.stac-item
2024-04-22 10:07:49	ga_s2bm_ard_3-2-1_54HVB_2024-04-22_nrt.stac-item
2024-04-22 11:40:25	ga_s2bm_ard_3-2-1_51LXJ_2024-04-22_nrt.stac-item
2024-04-22 11:40:28	ga_s2bm_ard_3-2-1_51LWJ_2024-04-22_nrt.stac-item
2024-04-22 11:40:31	ga_s2bm_ard_3-2-1_51LVJ_2024-04-22_nrt.stac-item
2024-04-22 11:40:35	ga_s2bm_ard_3-2-1_51LUJ_2024-04-22_nrt.stac-item
2024-04-22 11:40:54	ga_s2bm_ard_3-2-1_51LXG_2024-04-22_nrt.stac-item
2024-04-22 11:41:04	ga_s2bm_ard_3-2-1_51LUG_2024-04-22_nrt.stac-item
2024-04-22 11:41:17	ga_s2bm_ard_3-2-1_51LXE_2024-04-22_nrt.stac-item
2024-04-22 11:41:26	ga_s2bm_ard_3-2-1_51LWE_2024-04-22_final.stac-item
2024-04-22 11:41:30	ga_s2bm_ard_3-2-1_51LVE_2024-04-22_final.stac-item
2024-04-22 11:41:33	ga_s2bm_ard_3-2-1_51LUE_2024-04-22_final.stac-item
2024-04-22 11:41:37	ga_s2bm_ard_3-2-1_51LTE_2024-04-22_nrt.stac-item
2024-04-22 11:41:47	ga_s2bm_ard_3-2-1_51LUD_2024-04-22_final.stac-item
2024-04-22 11:42:05	ga_s2bm_ard_3-2-1_51LTC_2024-04-22_nrt.stac-item
2024-04-22 11:42:09	ga_s2bm_ard_3-2-1_51KWB_2024-04-22_final.stac-item
2024-04-22 11:42:17	ga_s2bm_ard_3-2-1_51KUB_2024-04-22_final.stac-item
2024-04-22 11:42:21	ga_s2bm_ard_3-2-1_51KWA_2024-04-22_final.stac-item
2024-04-22 11:42:28	ga_s2bm_ard_3-2-1_51KVA_2024-04-22_final.stac-item
2024-04-22 11:42:31	ga_s2bm_ard_3-2-1_51KUA_2024-04-22_final.stac-item
2024-04-22 11:42:49	ga_s2bm_ard_3-2-1_51KTV_2024-04-22_nrt.stac-item
2024-04-22 11:42:50	ga_s2bm_ard_3-2-1_50KRE_2024-04-22_nrt.stac-item
2024-04-22 11:43:15	ga_s2bm_ard_3-2-1_51KUT_2024-04-22_final.stac-item
2024-04-22 11:43:32	ga_s2bm_ard_3-2-1_51KTS_2024-04-22_final.stac-item
2024-04-22 11:43:33	ga_s2bm_ard_3-2-1_50KRB_2024-04-22_final.stac-item
2024-04-22 11:43:36	ga_s2bm_ard_3-2-1_51KVR_2024-04-22_final.stac-item
2024-04-22 11:43:36	ga_s2bm_ard_3-2-1_50KQB_2024-04-22_final.stac-item
2024-04-22 11:43:47	ga_s2bm_ard_3-2-1_51KTR_2024-04-22_final.stac-item
2024-04-22 11:43:47	ga_s2bm_ard_3-2-1_50KRA_2024-04-22_final.stac-item
2024-04-22 11:43:51	ga_s2bm_ard_3-2-1_50KQA_2024-04-22_final.stac-item
2024-04-22 11:43:58	ga_s2bm_ard_3-2-1_51KUQ_2024-04-22_final.stac-item
2024-04-22 11:44:02	ga_s2bm_ard_3-2-1_50KRV_2024-04-22_final.stac-item
2024-04-22 11:44:10	ga_s2bm_ard_3-2-1_50KPV_2024-04-22_final.stac-item
2024-04-22 11:44:16	ga_s2bm_ard_3-2-1_50KRU_2024-04-22_final.stac-item
2024-04-22 11:44:31	ga_s2bm_ard_3-2-1_50JRT_2024-04-22_final.stac-item
2024-04-22 11:44:39	ga_s2bm_ard_3-2-1_51JUM_2024-04-22_final.stac-item
2024-04-22 11:44:41	ga_s2bm_ard_3-2-1_50JRS_2024-04-22_final.stac-item
2024-04-22 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2024-04-22_final.stac-item
2024-04-22 11:44:43	ga_s2bm_ard_3-2-1_50JQS_2024-04-22_final.stac-item
2024-04-22 11:44:45	ga_s2bm_ard_3-2-1_50JPS_2024-04-22_final.stac-item
2024-04-22 11:44:48	ga_s2bm_ard_3-2-1_50JRS_2024-04-22_final.stac-item
2024-04-22 11:45:14	ga_s2bm_ard_3-2-1_51JTK_2024-04-22_final.stac-item
2024-04-22 11:45:18	ga_s2bm_ard_3-2-1_50JQQ_2024-04-22_final.stac-item
2024-04-22 11:45:29	ga_s2bm_ard_3-2-1_51JTJ_2024-04-22_final.stac-item
2024-04-22 11:45:32	ga_s2bm_ard_3-2-1_50JQP_2024-04-22_final.stac-item
2024-04-22 11:45:54	ga_s2bm_ard_3-2-1_50JNN_2024-04-22_final.stac-item
2024-04-22 11:45:57	ga_s2bm_ard_3-2-1_51JTG_2024-04-22_final.stac-item
2024-04-22 11:46:30	ga_s2bm_ard_3-2-1_50HQK_2024-04-22_final.stac-item
2024-04-22 11:46:43	ga_s2bm_ard_3-2-1_50HQJ_2024-04-22_final.stac-item
2024-04-22 11:46:53	ga_s2bm_ard_3-2-1_50HQH_2024-04-22_final.stac-item
2024-04-22 11:47:06	ga_s2bm_ard_3-2-1_50HNH_2024-04-22_final.stac-item
2024-04-22 11:47:10	ga_s2bm_ard_3-2-1_50HMH_2024-04-22_final.stac-item
2024-04-22 11:47:17	ga_s2bm_ard_3-2-1_50HPG_2024-04-22_final.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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