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:

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First 100 results (query limit)

Time (local)	Label
2023-05-17 12:15:04	ga_s2bm_ard_3-2-1_49JFM_2023-05-17_final.stac-item
2023-05-18 09:59:43	ga_s2bm_ard_3-2-1_55LHJ_2023-05-18_nrt.stac-item
2023-05-18 09:59:48	ga_s2bm_ard_3-2-1_55LGJ_2023-05-18_nrt.stac-item
2023-05-18 09:59:52	ga_s2bm_ard_3-2-1_55LFJ_2023-05-18_nrt.stac-item
2023-05-18 09:59:53	ga_s2bm_ard_3-2-1_55LHH_2023-05-18_nrt.stac-item
2023-05-18 09:59:55	ga_s2bm_ard_3-2-1_55LEJ_2023-05-18_nrt.stac-item
2023-05-18 10:00:03	ga_s2bm_ard_3-2-1_55LGH_2023-05-18_nrt.stac-item
2023-05-18 10:00:06	ga_s2bm_ard_3-2-1_55LFH_2023-05-18_nrt.stac-item
2023-05-18 10:00:10	ga_s2bm_ard_3-2-1_55LEH_2023-05-18_nrt.stac-item
2023-05-18 10:00:14	ga_s2bm_ard_3-2-1_55LDH_2023-05-18_nrt.stac-item
2023-05-18 10:00:17	ga_s2bm_ard_3-2-1_55LGG_2023-05-18_nrt.stac-item
2023-05-18 10:00:21	ga_s2bm_ard_3-2-1_55LFG_2023-05-18_nrt.stac-item
2023-05-18 10:00:50	ga_s2bm_ard_3-2-1_55LFE_2023-05-18_nrt.stac-item
2023-05-18 10:00:53	ga_s2bm_ard_3-2-1_55LEE_2023-05-18_nrt.stac-item
2023-05-18 10:00:56	ga_s2bm_ard_3-2-1_55LDE_2023-05-18_nrt.stac-item
2023-05-18 10:01:59	ga_s2bm_ard_3-2-1_55KFV_2023-05-18_nrt.stac-item
2023-05-18 10:02:35	ga_s2bm_ard_3-2-1_55KET_2023-05-18_final.stac-item
2023-05-18 10:02:38	ga_s2bm_ard_3-2-1_55KDT_2023-05-18_final.stac-item
2023-05-18 10:02:41	ga_s2bm_ard_3-2-1_55KCT_2023-05-18_final.stac-item
2023-05-18 10:02:49	ga_s2bm_ard_3-2-1_55KES_2023-05-18_final.stac-item
2023-05-18 10:02:53	ga_s2bm_ard_3-2-1_55KDS_2023-05-18_final.stac-item
2023-05-18 10:02:59	ga_s2bm_ard_3-2-1_55KBS_2023-05-18_final.stac-item
2023-05-18 10:03:03	ga_s2bm_ard_3-2-1_55KER_2023-05-18_final.stac-item
2023-05-18 10:03:07	ga_s2bm_ard_3-2-1_55KDR_2023-05-18_final.stac-item
2023-05-18 10:03:11	ga_s2bm_ard_3-2-1_55KCR_2023-05-18_final.stac-item
2023-05-18 10:03:14	ga_s2bm_ard_3-2-1_55KBR_2023-05-18_final.stac-item
2023-05-18 10:03:25	ga_s2bm_ard_3-2-1_55KCQ_2023-05-18_final.stac-item
2023-05-18 10:03:28	ga_s2bm_ard_3-2-1_55KBQ_2023-05-18_final.stac-item
2023-05-18 10:03:40	ga_s2bm_ard_3-2-1_55KCP_2023-05-18_final.stac-item
2023-05-18 10:03:43	ga_s2bm_ard_3-2-1_55KBP_2023-05-18_final.stac-item
2023-05-18 10:03:47	ga_s2bm_ard_3-2-1_54KYU_2023-05-18_final.stac-item
2023-05-18 10:03:57	ga_s2bm_ard_3-2-1_55JBN_2023-05-18_final.stac-item
2023-05-18 10:04:01	ga_s2bm_ard_3-2-1_54JYT_2023-05-18_final.stac-item
2023-05-18 10:04:05	ga_s2bm_ard_3-2-1_55JDM_2023-05-18_final.stac-item
2023-05-18 10:04:09	ga_s2bm_ard_3-2-1_55JCM_2023-05-18_final.stac-item
2023-05-18 10:04:12	ga_s2bm_ard_3-2-1_55JBM_2023-05-18_final.stac-item
2023-05-18 10:04:15	ga_s2bm_ard_3-2-1_54JYS_2023-05-18_final.stac-item
2023-05-18 10:04:52	ga_s2bm_ard_3-2-1_55JCJ_2023-05-18_final.stac-item
2023-05-18 10:05:02	ga_s2bm_ard_3-2-1_54JXP_2023-05-18_final.stac-item
2023-05-18 10:05:33	ga_s2bm_ard_3-2-1_55JBG_2023-05-18_final.stac-item
2023-05-18 10:05:33	ga_s2bm_ard_3-2-1_54JWM_2023-05-18_final.stac-item
2023-05-18 10:05:38	ga_s2bm_ard_3-2-1_54JWM_2023-05-18_final.stac-item
2023-05-18 10:05:49	ga_s2bm_ard_3-2-1_54JWL_2023-05-18_final.stac-item
2023-05-18 10:06:09	ga_s2bm_ard_3-2-1_55HBD_2023-05-18_final.stac-item
2023-05-18 10:06:11	ga_s2bm_ard_3-2-1_54HYJ_2023-05-18_final.stac-item
2023-05-18 10:06:33	ga_s2bm_ard_3-2-1_54HWH_2023-05-18_final.stac-item
2023-05-18 10:06:37	ga_s2bm_ard_3-2-1_55HBB_2023-05-18_final.stac-item
2023-05-18 10:06:38	ga_s2bm_ard_3-2-1_54HVH_2023-05-18_final.stac-item
2023-05-18 10:07:02	ga_s2bm_ard_3-2-1_54HWF_2023-05-18_final.stac-item
2023-05-18 10:07:05	ga_s2bm_ard_3-2-1_54HVF_2023-05-18_final.stac-item
2023-05-18 10:07:16	ga_s2bm_ard_3-2-1_54HWE_2023-05-18_final.stac-item
2023-05-18 11:40:29	ga_s2bm_ard_3-2-1_51LXJ_2023-05-18_nrt.stac-item
2023-05-18 11:40:33	ga_s2bm_ard_3-2-1_51LWJ_2023-05-18_nrt.stac-item
2023-05-18 11:40:36	ga_s2bm_ard_3-2-1_51LVJ_2023-05-18_nrt.stac-item
2023-05-18 11:40:40	ga_s2bm_ard_3-2-1_51LUJ_2023-05-18_nrt.stac-item
2023-05-18 11:40:44	ga_s2bm_ard_3-2-1_51LXH_2023-05-18_nrt.stac-item
2023-05-18 11:40:47	ga_s2bm_ard_3-2-1_51LWH_2023-05-18_nrt.stac-item
2023-05-18 11:40:51	ga_s2bm_ard_3-2-1_51LVH_2023-05-18_nrt.stac-item
2023-05-18 11:40:53	ga_s2bm_ard_3-2-1_51LUH_2023-05-18_nrt.stac-item
2023-05-18 11:40:58	ga_s2bm_ard_3-2-1_51LXG_2023-05-18_nrt.stac-item
2023-05-18 11:41:08	ga_s2bm_ard_3-2-1_51LUG_2023-05-18_nrt.stac-item
2023-05-18 11:41:22	ga_s2bm_ard_3-2-1_51LXE_2023-05-18_nrt.stac-item
2023-05-18 11:41:31	ga_s2bm_ard_3-2-1_51LWE_2023-05-18_final.stac-item
2023-05-18 11:41:34	ga_s2bm_ard_3-2-1_51LVE_2023-05-18_final.stac-item
2023-05-18 11:41:37	ga_s2bm_ard_3-2-1_51LUE_2023-05-18_final.stac-item
2023-05-18 11:42:39	ga_s2bm_ard_3-2-1_51KTA_2023-05-18_nrt.stac-item
2023-05-18 11:42:40	ga_s2bm_ard_3-2-1_50KRF_2023-05-18_nrt.stac-item
2023-05-18 11:42:53	ga_s2bm_ard_3-2-1_51KTV_2023-05-18_nrt.stac-item
2023-05-18 11:42:54	ga_s2bm_ard_3-2-1_50KRE_2023-05-18_nrt.stac-item
2023-05-18 11:43:16	ga_s2bm_ard_3-2-1_51KVT_2023-05-18_final.stac-item
2023-05-18 11:43:19	ga_s2bm_ard_3-2-1_51KUT_2023-05-18_final.stac-item
2023-05-18 11:43:34	ga_s2bm_ard_3-2-1_51KUS_2023-05-18_final.stac-item
2023-05-18 11:43:37	ga_s2bm_ard_3-2-1_51KTS_2023-05-18_final.stac-item
2023-05-18 11:43:40	ga_s2bm_ard_3-2-1_51KVR_2023-05-18_final.stac-item
2023-05-18 11:43:41	ga_s2bm_ard_3-2-1_50KQB_2023-05-18_final.stac-item
2023-05-18 11:43:48	ga_s2bm_ard_3-2-1_51KUR_2023-05-18_final.stac-item
2023-05-18 11:43:52	ga_s2bm_ard_3-2-1_51KTR_2023-05-18_final.stac-item
2023-05-18 11:43:56	ga_s2bm_ard_3-2-1_50KQA_2023-05-18_final.stac-item
2023-05-18 11:44:03	ga_s2bm_ard_3-2-1_51KUQ_2023-05-18_final.stac-item
2023-05-18 11:44:06	ga_s2bm_ard_3-2-1_51KTQ_2023-05-18_final.stac-item
2023-05-18 11:44:10	ga_s2bm_ard_3-2-1_50KQV_2023-05-18_final.stac-item
2023-05-18 11:44:15	ga_s2bm_ard_3-2-1_50KPV_2023-05-18_final.stac-item
2023-05-18 11:44:18	ga_s2bm_ard_3-2-1_51KUP_2023-05-18_final.stac-item
2023-05-18 11:44:21	ga_s2bm_ard_3-2-1_51KTP_2023-05-18_final.stac-item
2023-05-18 11:44:24	ga_s2bm_ard_3-2-1_50KQU_2023-05-18_final.stac-item
2023-05-18 11:44:28	ga_s2bm_ard_3-2-1_50KPU_2023-05-18_final.stac-item
2023-05-18 11:44:35	ga_s2bm_ard_3-2-1_51JTN_2023-05-18_final.stac-item
2023-05-18 11:44:39	ga_s2bm_ard_3-2-1_50JQT_2023-05-18_final.stac-item
2023-05-18 11:44:44	ga_s2bm_ard_3-2-1_51JUM_2023-05-18_final.stac-item
2023-05-18 11:44:50	ga_s2bm_ard_3-2-1_50JPS_2023-05-18_final.stac-item
2023-05-18 11:44:50	ga_s2bm_ard_3-2-1_51JUM_2023-05-18_final.stac-item
2023-05-18 11:44:53	ga_s2bm_ard_3-2-1_50JRS_2023-05-18_final.stac-item
2023-05-18 11:44:53	ga_s2bm_ard_3-2-1_51JTM_2023-05-18_final.stac-item
2023-05-18 11:44:55	ga_s2bm_ard_3-2-1_50JQS_2023-05-18_final.stac-item
2023-05-18 11:44:57	ga_s2bm_ard_3-2-1_50JPS_2023-05-18_final.stac-item
2023-05-18 11:45:40	ga_s2bm_ard_3-2-1_50JPP_2023-05-18_final.stac-item
2023-05-18 11:46:27	ga_s2bm_ard_3-2-1_50JNL_2023-05-18_final.stac-item
2023-05-18 11:46:31	ga_s2bm_ard_3-2-1_50JML_2023-05-18_final.stac-item
2023-05-18 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-05-18_final.stac-item
2023-05-18 11:47:11	ga_s2bm_ard_3-2-1_50HNH_2023-05-18_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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