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
2023-03-05 12:03:22	ga_s2bm_ard_3-2-1_50KNC_2023-03-05_final.stac-item
2023-03-05 12:03:29	ga_s2bm_ard_3-2-1_50KLC_2023-03-05_final.stac-item
2023-03-05 12:03:47	ga_s2bm_ard_3-2-1_49KHS_2023-03-05_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_50KKA_2023-03-05_final.stac-item
2023-03-05 12:04:01	ga_s2bm_ard_3-2-1_49KHR_2023-03-05_final.stac-item
2023-03-05 12:04:12	ga_s2bm_ard_3-2-1_50KLV_2023-03-05_final.stac-item
2023-03-05 12:04:30	ga_s2bm_ard_3-2-1_49KHP_2023-03-05_final.stac-item
2023-03-05 12:04:42	ga_s2bm_ard_3-2-1_50JLT_2023-03-05_final.stac-item
2023-03-05 12:04:48	ga_s2bm_ard_3-2-1_49JGN_2023-03-05_final.stac-item
2023-03-05 12:04:56	ga_s2bm_ard_3-2-1_50JLS_2023-03-05_final.stac-item
2023-03-05 12:04:59	ga_s2bm_ard_3-2-1_50JKS_2023-03-05_final.stac-item
2023-03-05 12:05:10	ga_s2bm_ard_3-2-1_50JLR_2023-03-05_final.stac-item
2023-03-05 12:05:11	ga_s2bm_ard_3-2-1_49JFM_2023-03-05_final.stac-item
2023-03-05 12:05:17	ga_s2bm_ard_3-2-1_49JGL_2023-03-05_final.stac-item
2023-03-05 12:05:25	ga_s2bm_ard_3-2-1_50JLQ_2023-03-05_final.stac-item
2023-03-05 12:05:28	ga_s2bm_ard_3-2-1_50JKQ_2023-03-05_final.stac-item
2023-03-05 12:05:40	ga_s2bm_ard_3-2-1_50JLP_2023-03-05_final.stac-item
2023-03-05 12:05:43	ga_s2bm_ard_3-2-1_50JKP_2023-03-05_final.stac-item
2023-03-05 12:05:46	ga_s2bm_ard_3-2-1_49JGJ_2023-03-05_final.stac-item
2023-03-05 12:05:54	ga_s2bm_ard_3-2-1_50JLN_2023-03-05_final.stac-item
2023-03-05 12:06:16	ga_s2bm_ard_3-2-1_50JLL_2023-03-05_final.stac-item
2023-03-06 11:33:30	ga_s2bm_ard_3-2-1_51KWS_2023-03-06_final.stac-item
2023-03-06 11:34:06	ga_s2bm_ard_3-2-1_51KUQ_2023-03-06_final.stac-item
2023-03-06 11:34:08	ga_s2bm_ard_3-2-1_51KXP_2023-03-06_final.stac-item
2023-03-06 11:34:20	ga_s2bm_ard_3-2-1_51KUP_2023-03-06_final.stac-item
2023-03-06 11:34:35	ga_s2bm_ard_3-2-1_51JUN_2023-03-06_final.stac-item
2023-03-06 11:34:39	ga_s2bm_ard_3-2-1_50JRT_2023-03-06_final.stac-item
2023-03-06 11:34:42	ga_s2bm_ard_3-2-1_51JWM_2023-03-06_final.stac-item
2023-03-06 11:34:57	ga_s2bm_ard_3-2-1_51JWL_2023-03-06_final.stac-item
2023-03-06 11:35:29	ga_s2bm_ard_3-2-1_51JVJ_2023-03-06_final.stac-item
2023-03-06 11:36:02	ga_s2bm_ard_3-2-1_51JUG_2023-03-06_final.stac-item
2023-03-06 11:36:05	ga_s2bm_ard_3-2-1_51JTG_2023-03-06_final.stac-item
2023-03-06 11:36:08	ga_s2bm_ard_3-2-1_50JQM_2023-03-06_final.stac-item
2023-03-06 11:36:13	ga_s2bm_ard_3-2-1_51JVF_2023-03-06_final.stac-item
2023-03-06 11:36:20	ga_s2bm_ard_3-2-1_51JTF_2023-03-06_final.stac-item
2023-03-06 11:36:51	ga_s2bm_ard_3-2-1_50HQJ_2023-03-06_final.stac-item
2023-03-06 11:37:00	ga_s2bm_ard_3-2-1_51HUC_2023-03-06_final.stac-item
2023-03-06 11:37:09	ga_s2bm_ard_3-2-1_50HPH_2023-03-06_final.stac-item
2023-03-06 11:37:24	ga_s2bm_ard_3-2-1_50HPG_2023-03-06_final.stac-item
2023-03-08 12:13:43	ga_s2bm_ard_3-2-1_49KHS_2023-03-08_final.stac-item
2023-03-08 12:13:58	ga_s2bm_ard_3-2-1_50KKA_2023-03-08_final.stac-item
2023-03-08 12:13:58	ga_s2bm_ard_3-2-1_49KHR_2023-03-08_final.stac-item
2023-03-08 12:14:12	ga_s2bm_ard_3-2-1_49KHQ_2023-03-08_final.stac-item
2023-03-08 12:14:22	ga_s2bm_ard_3-2-1_50KKU_2023-03-08_final.stac-item
2023-03-08 12:14:24	ga_s2bm_ard_3-2-1_49KHP_2023-03-08_final.stac-item
2023-03-08 12:14:49	ga_s2bm_ard_3-2-1_49JFN_2023-03-08_final.stac-item
2023-03-08 12:15:03	ga_s2bm_ard_3-2-1_49JFM_2023-03-08_final.stac-item
2023-03-08 12:15:23	ga_s2bm_ard_3-2-1_49JGK_2023-03-08_final.stac-item
2023-03-09 11:42:13	ga_s2bm_ard_3-2-1_51KWB_2023-03-09_final.stac-item
2023-03-09 11:42:25	ga_s2bm_ard_3-2-1_51KWA_2023-03-09_final.stac-item
2023-03-09 11:43:04	ga_s2bm_ard_3-2-1_51KUU_2023-03-09_final.stac-item
2023-03-09 11:43:15	ga_s2bm_ard_3-2-1_51KVT_2023-03-09_final.stac-item
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_51KTT_2023-03-09_final.stac-item
2023-03-09 11:43:22	ga_s2bm_ard_3-2-1_50KRC_2023-03-09_final.stac-item
2023-03-09 11:43:36	ga_s2bm_ard_3-2-1_51KTS_2023-03-09_final.stac-item
2023-03-09 11:43:37	ga_s2bm_ard_3-2-1_50KRB_2023-03-09_final.stac-item
2023-03-09 11:43:51	ga_s2bm_ard_3-2-1_51KTR_2023-03-09_final.stac-item
2023-03-09 11:43:55	ga_s2bm_ard_3-2-1_50KQA_2023-03-09_final.stac-item
2023-03-09 11:44:02	ga_s2bm_ard_3-2-1_51KUQ_2023-03-09_final.stac-item
2023-03-09 11:44:05	ga_s2bm_ard_3-2-1_51KTQ_2023-03-09_final.stac-item
2023-03-09 11:44:31	ga_s2bm_ard_3-2-1_51JUN_2023-03-09_final.stac-item
2023-03-09 11:44:34	ga_s2bm_ard_3-2-1_50JRT_2023-03-09_final.stac-item
2023-03-09 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2023-03-09_final.stac-item
2023-03-09 11:45:03	ga_s2bm_ard_3-2-1_51JTL_2023-03-09_final.stac-item
2023-03-09 11:45:07	ga_s2bm_ard_3-2-1_50JQR_2023-03-09_final.stac-item
2023-03-09 11:45:11	ga_s2bm_ard_3-2-1_50JPR_2023-03-09_final.stac-item
2023-03-09 11:45:25	ga_s2bm_ard_3-2-1_50JPQ_2023-03-09_final.stac-item
2023-03-09 11:46:23	ga_s2bm_ard_3-2-1_50JPL_2023-03-09_final.stac-item
2023-03-09 11:46:26	ga_s2bm_ard_3-2-1_50JNL_2023-03-09_final.stac-item
2023-03-09 11:46:34	ga_s2bm_ard_3-2-1_50HQK_2023-03-09_final.stac-item
2023-03-09 11:46:41	ga_s2bm_ard_3-2-1_50HNK_2023-03-09_final.stac-item
2023-03-09 11:46:44	ga_s2bm_ard_3-2-1_50HMK_2023-03-09_final.stac-item
2023-03-09 11:46:47	ga_s2bm_ard_3-2-1_50HQJ_2023-03-09_final.stac-item
2023-03-09 11:46:52	ga_s2bm_ard_3-2-1_50HPJ_2023-03-09_final.stac-item
2023-03-09 11:46:56	ga_s2bm_ard_3-2-1_50HNJ_2023-03-09_final.stac-item
2023-03-09 11:46:57	ga_s2bm_ard_3-2-1_50HQH_2023-03-09_final.stac-item
2023-03-09 11:47:06	ga_s2bm_ard_3-2-1_50HPH_2023-03-09_final.stac-item
2023-03-09 11:47:10	ga_s2bm_ard_3-2-1_50HNH_2023-03-09_final.stac-item
2023-03-09 11:47:18	ga_s2bm_ard_3-2-1_50HLH_2023-03-09_final.stac-item
2023-03-09 11:47:28	ga_s2bm_ard_3-2-1_50HMG_2023-03-09_final.stac-item
2023-03-09 11:47:30	ga_s2bm_ard_3-2-1_50HLG_2023-03-09_final.stac-item
2023-03-10 11:14:42	ga_s2bm_ard_3-2-1_51JZM_2023-03-10_final.stac-item
2023-03-10 11:15:29	ga_s2bm_ard_3-2-1_51JYJ_2023-03-10_final.stac-item
2023-03-10 11:15:46	ga_s2bm_ard_3-2-1_51JXH_2023-03-10_final.stac-item
2023-03-10 11:16:01	ga_s2bm_ard_3-2-1_51JXG_2023-03-10_final.stac-item
2023-03-10 11:16:59	ga_s2bm_ard_3-2-1_51HXC_2023-03-10_final.stac-item
2023-03-10 11:17:03	ga_s2bm_ard_3-2-1_51HWC_2023-03-10_final.stac-item
2023-03-22 11:51:56	ga_s2bm_ard_3-2-1_50LPJ_2023-03-22_nrt.stac-item
2023-03-22 11:52:11	ga_s2bm_ard_3-2-1_50LPH_2023-03-22_nrt.stac-item
2023-03-22 11:56:36	ga_s2bm_ard_3-2-1_49JGF_2023-03-22_nrt.stac-item
2023-03-22 11:56:46	ga_s2bm_ard_3-2-1_50HKK_2023-03-22_nrt.stac-item
2023-03-22 11:56:48	ga_s2bm_ard_3-2-1_49HGE_2023-03-22_nrt.stac-item
2023-03-22 11:57:00	ga_s2bm_ard_3-2-1_50HKJ_2023-03-22_nrt.stac-item
2023-03-22 11:57:02	ga_s2bm_ard_3-2-1_49HGD_2023-03-22_nrt.stac-item
2023-03-22 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-03-22_nrt.stac-item
2023-03-22 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-03-22_nrt.stac-item
2023-03-22 11:57:25	ga_s2bm_ard_3-2-1_49HFC_2023-03-22_nrt.stac-item
2023-03-22 11:57:28	ga_s2bm_ard_3-2-1_49HGB_2023-03-22_nrt.stac-item
2023-03-22 11:57:30	ga_s2bm_ard_3-2-1_49HFB_2023-03-22_nrt.stac-item
2023-03-22 11:57:31	ga_s2bm_ard_3-2-1_50HMF_2023-03-22_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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