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
2023-05-21 11:56:34	ga_s2bm_ard_3-2-1_50HNK_2023-05-21_final.stac-item
2023-05-21 11:56:41	ga_s2bm_ard_3-2-1_50HMK_2023-05-21_final.stac-item
2023-05-21 11:56:48	ga_s2bm_ard_3-2-1_50HKK_2023-05-21_nrt.stac-item
2023-05-21 11:56:50	ga_s2bm_ard_3-2-1_49HGE_2023-05-21_nrt.stac-item
2023-05-21 11:57:03	ga_s2bm_ard_3-2-1_50HKJ_2023-05-21_nrt.stac-item
2023-05-21 11:57:05	ga_s2bm_ard_3-2-1_49HGD_2023-05-21_nrt.stac-item
2023-05-21 11:57:11	ga_s2bm_ard_3-2-1_50HMH_2023-05-21_final.stac-item
2023-05-21 11:57:17	ga_s2bm_ard_3-2-1_50HKH_2023-05-21_nrt.stac-item
2023-05-21 11:57:19	ga_s2bm_ard_3-2-1_49HGC_2023-05-21_nrt.stac-item
2023-05-21 11:57:25	ga_s2bm_ard_3-2-1_50HMG_2023-05-21_final.stac-item
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_49HFC_2023-05-21_nrt.stac-item
2023-05-21 11:57:27	ga_s2bm_ard_3-2-1_50HLG_2023-05-21_final.stac-item
2023-05-21 11:57:32	ga_s2bm_ard_3-2-1_49HFB_2023-05-21_nrt.stac-item
2023-05-21 11:57:32	ga_s2bm_ard_3-2-1_50HMF_2023-05-21_nrt.stac-item
2023-05-21 11:57:33	ga_s2bm_ard_3-2-1_50HLF_2023-05-21_nrt.stac-item
2023-05-22 09:41:20	ga_s2bm_ard_3-2-1_56LNH_2023-05-22_nrt.stac-item
2023-05-22 09:41:21	ga_s2bm_ard_3-2-1_56LMH_2023-05-22_nrt.stac-item
2023-05-22 09:41:22	ga_s2bm_ard_3-2-1_56LLH_2023-05-22_nrt.stac-item
2023-05-22 09:41:23	ga_s2bm_ard_3-2-1_56LKH_2023-05-22_nrt.stac-item
2023-05-22 09:41:29	ga_s2bm_ard_3-2-1_56KMG_2023-05-22_final.stac-item
2023-05-22 09:41:32	ga_s2bm_ard_3-2-1_56KLG_2023-05-22_final.stac-item
2023-05-22 09:41:51	ga_s2bm_ard_3-2-1_56KNE_2023-05-22_nrt.stac-item
2023-05-22 09:41:57	ga_s2bm_ard_3-2-1_56KME_2023-05-22_final.stac-item
2023-05-22 09:42:01	ga_s2bm_ard_3-2-1_56KLE_2023-05-22_final.stac-item
2023-05-22 09:43:03	ga_s2bm_ard_3-2-1_55KHR_2023-05-22_final.stac-item
2023-05-22 09:43:32	ga_s2bm_ard_3-2-1_55KHP_2023-05-22_final.stac-item
2023-05-22 09:43:46	ga_s2bm_ard_3-2-1_55JHN_2023-05-22_final.stac-item
2023-05-22 09:44:00	ga_s2bm_ard_3-2-1_55JHM_2023-05-22_final.stac-item
2023-05-22 09:44:10	ga_s2bm_ard_3-2-1_56JLR_2023-05-22_final.stac-item
2023-05-22 09:44:21	ga_s2bm_ard_3-2-1_56JLQ_2023-05-22_final.stac-item
2023-05-22 09:44:22	ga_s2bm_ard_3-2-1_55JFL_2023-05-22_final.stac-item
2023-05-22 09:44:29	ga_s2bm_ard_3-2-1_56JKQ_2023-05-22_final.stac-item
2023-05-22 09:44:33	ga_s2bm_ard_3-2-1_55JGK_2023-05-22_final.stac-item
2023-05-22 09:44:44	ga_s2bm_ard_3-2-1_56JKP_2023-05-22_final.stac-item
2023-05-22 09:44:47	ga_s2bm_ard_3-2-1_55JGJ_2023-05-22_final.stac-item
2023-05-22 09:44:51	ga_s2bm_ard_3-2-1_55JFJ_2023-05-22_final.stac-item
2023-05-22 09:45:24	ga_s2bm_ard_3-2-1_55JEG_2023-05-22_final.stac-item
2023-05-22 09:45:31	ga_s2bm_ard_3-2-1_55JDG_2023-05-22_final.stac-item
2023-05-22 09:45:35	ga_s2bm_ard_3-2-1_55JFF_2023-05-22_final.stac-item
2023-05-22 09:45:37	ga_s2bm_ard_3-2-1_56HKK_2023-05-22_final.stac-item
2023-05-22 09:45:45	ga_s2bm_ard_3-2-1_55HGE_2023-05-22_final.stac-item
2023-05-22 09:45:52	ga_s2bm_ard_3-2-1_55HEE_2023-05-22_final.stac-item
2023-05-22 09:45:56	ga_s2bm_ard_3-2-1_55HDE_2023-05-22_final.stac-item
2023-05-22 09:45:59	ga_s2bm_ard_3-2-1_55HGD_2023-05-22_final.stac-item
2023-05-22 09:46:12	ga_s2bm_ard_3-2-1_55HGC_2023-05-22_final.stac-item
2023-05-22 09:46:22	ga_s2bm_ard_3-2-1_55HEC_2023-05-22_final.stac-item
2023-05-22 09:46:22	ga_s2bm_ard_3-2-1_55HGB_2023-05-22_final.stac-item
2023-05-22 09:46:25	ga_s2bm_ard_3-2-1_55HDC_2023-05-22_final.stac-item
2023-05-22 09:46:32	ga_s2bm_ard_3-2-1_55HFB_2023-05-22_final.stac-item
2023-05-22 09:46:36	ga_s2bm_ard_3-2-1_55HEB_2023-05-22_final.stac-item
2023-05-22 09:46:40	ga_s2bm_ard_3-2-1_55HDB_2023-05-22_final.stac-item
2023-05-22 09:46:43	ga_s2bm_ard_3-2-1_55HCB_2023-05-22_final.stac-item
2023-05-22 09:46:47	ga_s2bm_ard_3-2-1_55HFA_2023-05-22_final.stac-item
2023-05-22 09:46:50	ga_s2bm_ard_3-2-1_55HEA_2023-05-22_final.stac-item
2023-05-22 09:46:54	ga_s2bm_ard_3-2-1_55HDA_2023-05-22_final.stac-item
2023-05-22 09:46:57	ga_s2bm_ard_3-2-1_55HCA_2023-05-22_final.stac-item
2023-05-22 09:47:01	ga_s2bm_ard_3-2-1_55HFV_2023-05-22_final.stac-item
2023-05-22 09:47:05	ga_s2bm_ard_3-2-1_55HEV_2023-05-22_final.stac-item
2023-05-22 09:47:09	ga_s2bm_ard_3-2-1_55HDV_2023-05-22_final.stac-item
2023-05-22 09:47:12	ga_s2bm_ard_3-2-1_55HCV_2023-05-22_final.stac-item
2023-05-22 09:47:14	ga_s2bm_ard_3-2-1_55HFU_2023-05-22_final.stac-item
2023-05-22 09:47:19	ga_s2bm_ard_3-2-1_55HEU_2023-05-22_final.stac-item
2023-05-22 09:47:23	ga_s2bm_ard_3-2-1_55HDU_2023-05-22_final.stac-item
2023-05-22 09:47:27	ga_s2bm_ard_3-2-1_55HCU_2023-05-22_final.stac-item
2023-05-22 09:47:34	ga_s2bm_ard_3-2-1_55HBU_2023-05-22_final.stac-item
2023-05-22 09:47:48	ga_s2bm_ard_3-2-1_55HES_2023-05-22_final.stac-item
2023-05-22 09:47:59	ga_s2bm_ard_3-2-1_55HBS_2023-05-22_final.stac-item
2023-05-22 09:48:00	ga_s2bm_ard_3-2-1_54HYB_2023-05-22_final.stac-item
2023-05-22 09:48:27	ga_s2bm_ard_3-2-1_55GEP_2023-05-22_final.stac-item
2023-05-22 09:48:35	ga_s2bm_ard_3-2-1_55GDP_2023-05-22_final.stac-item
2023-05-22 11:21:29	ga_s2bm_ard_3-2-1_52LBK_2023-05-22_final.stac-item
2023-05-22 11:21:30	ga_s2bm_ard_3-2-1_51LZE_2023-05-22_final.stac-item
2023-05-22 11:21:37	ga_s2bm_ard_3-2-1_52LDJ_2023-05-22_final.stac-item
2023-05-22 11:21:52	ga_s2bm_ard_3-2-1_52LDH_2023-05-22_final.stac-item
2023-05-22 11:21:59	ga_s2bm_ard_3-2-1_51LZC_2023-05-22_final.stac-item
2023-05-22 11:22:04	ga_s2bm_ard_3-2-1_51LYC_2023-05-22_final.stac-item
2023-05-22 11:22:05	ga_s2bm_ard_3-2-1_52KDG_2023-05-22_final.stac-item
2023-05-22 11:22:38	ga_s2bm_ard_3-2-1_52KCE_2023-05-22_final.stac-item
2023-05-22 11:23:40	ga_s2bm_ard_3-2-1_51KZR_2023-05-22_final.stac-item
2023-05-22 11:24:09	ga_s2bm_ard_3-2-1_51KZP_2023-05-22_final.stac-item
2023-05-22 11:24:24	ga_s2bm_ard_3-2-1_51JZN_2023-05-22_final.stac-item
2023-05-22 11:24:37	ga_s2bm_ard_3-2-1_51JZM_2023-05-22_final.stac-item
2023-05-22 11:25:00	ga_s2bm_ard_3-2-1_51JXL_2023-05-22_final.stac-item
2023-05-22 11:25:11	ga_s2bm_ard_3-2-1_51JYK_2023-05-22_final.stac-item
2023-05-22 11:25:25	ga_s2bm_ard_3-2-1_51JYJ_2023-05-22_final.stac-item
2023-05-22 11:25:29	ga_s2bm_ard_3-2-1_51JXJ_2023-05-22_final.stac-item
2023-05-22 11:26:02	ga_s2bm_ard_3-2-1_51JWG_2023-05-22_final.stac-item
2023-05-22 11:26:05	ga_s2bm_ard_3-2-1_51JVG_2023-05-22_final.stac-item
2023-05-22 11:26:10	ga_s2bm_ard_3-2-1_51JUG_2023-05-22_final.stac-item
2023-05-22 11:26:12	ga_s2bm_ard_3-2-1_51JXF_2023-05-22_final.stac-item
2023-05-22 11:26:16	ga_s2bm_ard_3-2-1_51JWF_2023-05-22_final.stac-item
2023-05-22 11:26:19	ga_s2bm_ard_3-2-1_51JVF_2023-05-22_final.stac-item
2023-05-22 11:26:23	ga_s2bm_ard_3-2-1_51JUF_2023-05-22_final.stac-item
2023-05-22 11:26:31	ga_s2bm_ard_3-2-1_51HWE_2023-05-22_final.stac-item
2023-05-22 11:26:34	ga_s2bm_ard_3-2-1_51HVE_2023-05-22_final.stac-item
2023-05-22 11:26:52	ga_s2bm_ard_3-2-1_51HXC_2023-05-22_final.stac-item
2023-05-22 11:26:59	ga_s2bm_ard_3-2-1_51HWC_2023-05-22_final.stac-item
2023-05-22 11:27:03	ga_s2bm_ard_3-2-1_51HVC_2023-05-22_final.stac-item
2023-05-22 11:27:12	ga_s2bm_ard_3-2-1_51HTC_2023-05-22_final.stac-item
2023-05-22 11:27:14	ga_s2bm_ard_3-2-1_51HVB_2023-05-22_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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