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
2023-07-13 10:27:10	ga_s2bm_ard_3-2-1_53HPA_2023-07-13_final.stac-item
2023-07-15 11:00:19	ga_s2bm_ard_3-2-1_53LKJ_2023-07-15_final.stac-item
2023-07-15 11:00:42	ga_s2bm_ard_3-2-1_52LGN_2023-07-15_final.stac-item
2023-07-15 11:00:50	ga_s2bm_ard_3-2-1_52LHM_2023-07-15_final.stac-item
2023-07-15 11:01:37	ga_s2bm_ard_3-2-1_52LGJ_2023-07-15_final.stac-item
2023-07-15 11:01:43	ga_s2bm_ard_3-2-1_53LLC_2023-07-15_final.stac-item
2023-07-15 11:02:31	ga_s2bm_ard_3-2-1_52KHE_2023-07-15_final.stac-item
2023-07-15 11:03:39	ga_s2bm_ard_3-2-1_52KEA_2023-07-15_final.stac-item
2023-07-15 11:04:23	ga_s2bm_ard_3-2-1_52JET_2023-07-15_final.stac-item
2023-07-15 11:04:41	ga_s2bm_ard_3-2-1_52JDS_2023-07-15_final.stac-item
2023-07-15 11:05:35	ga_s2bm_ard_3-2-1_52JEN_2023-07-15_final.stac-item
2023-07-15 11:06:23	ga_s2bm_ard_3-2-1_52HDK_2023-07-15_final.stac-item
2023-07-16 10:32:56	ga_s2bm_ard_3-2-1_53KQT_2023-07-16_final.stac-item
2023-07-16 10:34:27	ga_s2bm_ard_3-2-1_53JPM_2023-07-16_final.stac-item
2023-07-16 10:35:25	ga_s2bm_ard_3-2-1_53JPH_2023-07-16_final.stac-item
2023-07-16 10:36:01	ga_s2bm_ard_3-2-1_53JMF_2023-07-16_final.stac-item
2023-07-16 10:36:51	ga_s2bm_ard_3-2-1_53HPB_2023-07-16_final.stac-item
2023-07-16 10:36:59	ga_s2bm_ard_3-2-1_53HMB_2023-07-16_final.stac-item
2023-07-16 10:37:04	ga_s2bm_ard_3-2-1_53HPA_2023-07-16_final.stac-item
2023-07-17 10:06:34	ga_s2bm_ard_3-2-1_54HWH_2023-07-17_final.stac-item
2023-07-17 10:07:13	ga_s2bm_ard_3-2-1_54HXE_2023-07-17_final.stac-item
2023-07-17 10:07:27	ga_s2bm_ard_3-2-1_54HXD_2023-07-17_final.stac-item
2023-07-17 11:41:06	ga_s2bm_ard_3-2-1_51LVG_2023-07-17_final.stac-item
2023-07-17 11:42:07	ga_s2bm_ard_3-2-1_51LUC_2023-07-17_final.stac-item
2023-07-17 11:42:47	ga_s2bm_ard_3-2-1_51KVV_2023-07-17_final.stac-item
2023-07-17 11:43:38	ga_s2bm_ard_3-2-1_50KRB_2023-07-17_final.stac-item
2023-07-17 11:44:36	ga_s2bm_ard_3-2-1_51JTN_2023-07-17_final.stac-item
2023-07-17 11:45:12	ga_s2bm_ard_3-2-1_50JPR_2023-07-17_final.stac-item
2023-07-17 11:47:22	ga_s2bm_ard_3-2-1_50HPG_2023-07-17_final.stac-item
2023-07-18 11:10:09	ga_s2bm_ard_3-2-1_53LKJ_2023-07-18_final.stac-item
2023-07-18 11:11:07	ga_s2bm_ard_3-2-1_52LFL_2023-07-18_final.stac-item
2023-07-18 11:11:29	ga_s2bm_ard_3-2-1_52LFK_2023-07-18_final.stac-item
2023-07-18 11:12:26	ga_s2bm_ard_3-2-1_52KDF_2023-07-18_final.stac-item
2023-07-18 11:12:52	ga_s2bm_ard_3-2-1_52KED_2023-07-18_final.stac-item
2023-07-18 11:13:19	ga_s2bm_ard_3-2-1_52KBC_2023-07-18_final.stac-item
2023-07-18 11:14:26	ga_s2bm_ard_3-2-1_52JCT_2023-07-18_final.stac-item
2023-07-18 11:14:37	ga_s2bm_ard_3-2-1_52JDS_2023-07-18_final.stac-item
2023-07-18 11:14:40	ga_s2bm_ard_3-2-1_52JCS_2023-07-18_final.stac-item
2023-07-18 11:14:52	ga_s2bm_ard_3-2-1_52JDR_2023-07-18_final.stac-item
2023-07-18 11:14:55	ga_s2bm_ard_3-2-1_52JCR_2023-07-18_final.stac-item
2023-07-18 11:14:58	ga_s2bm_ard_3-2-1_52JBR_2023-07-18_final.stac-item
2023-07-18 11:15:01	ga_s2bm_ard_3-2-1_51JYL_2023-07-18_final.stac-item
2023-07-18 11:16:25	ga_s2bm_ard_3-2-1_51JWF_2023-07-18_final.stac-item
2023-07-18 11:17:01	ga_s2bm_ard_3-2-1_51HXC_2023-07-18_final.stac-item
2023-07-18 11:17:08	ga_s2bm_ard_3-2-1_51HXB_2023-07-18_final.stac-item
2023-07-18 11:17:10	ga_s2bm_ard_3-2-1_51HXB_2023-07-18_final.stac-item
2023-07-19 10:40:33	ga_s2bm_ard_3-2-1_53LPH_2023-07-19_final.stac-item
2023-07-19 10:42:28	ga_s2bm_ard_3-2-1_53KRU_2023-07-19_final.stac-item
2023-07-19 10:42:50	ga_s2bm_ard_3-2-1_53KQT_2023-07-19_final.stac-item
2023-07-19 10:43:07	ga_s2bm_ard_3-2-1_53KQS_2023-07-19_final.stac-item
2023-07-19 10:44:26	ga_s2bm_ard_3-2-1_53JNM_2023-07-19_final.stac-item
2023-07-19 10:44:30	ga_s2bm_ard_3-2-1_53JMM_2023-07-19_final.stac-item
2023-07-19 10:44:41	ga_s2bm_ard_3-2-1_53JNL_2023-07-19_final.stac-item
2023-07-19 10:44:59	ga_s2bm_ard_3-2-1_53JMK_2023-07-19_final.stac-item
2023-07-19 10:46:15	ga_s2bm_ard_3-2-1_53HLE_2023-07-19_final.stac-item
2023-07-20 10:15:46	ga_s2bm_ard_3-2-1_54JWL_2023-07-20_final.stac-item
2023-07-20 10:16:06	ga_s2bm_ard_3-2-1_54HXJ_2023-07-20_final.stac-item
2023-07-20 10:16:08	ga_s2bm_ard_3-2-1_54HUK_2023-07-20_final.stac-item
2023-07-20 10:16:15	ga_s2bm_ard_3-2-1_54HWJ_2023-07-20_final.stac-item
2023-07-20 10:16:40	ga_s2bm_ard_3-2-1_54HTH_2023-07-20_final.stac-item
2023-07-20 10:16:51	ga_s2bm_ard_3-2-1_54HUG_2023-07-20_final.stac-item
2023-07-20 11:53:00	ga_s2bm_ard_3-2-1_51KTU_2023-07-20_final.stac-item
2023-07-20 11:53:23	ga_s2bm_ard_3-2-1_50KQC_2023-07-20_final.stac-item
2023-07-20 11:55:15	ga_s2bm_ard_3-2-1_50JMR_2023-07-20_final.stac-item
2023-07-20 11:55:33	ga_s2bm_ard_3-2-1_50JLQ_2023-07-20_final.stac-item
2023-07-20 11:56:28	ga_s2bm_ard_3-2-1_50JML_2023-07-20_final.stac-item
2023-07-20 11:56:35	ga_s2bm_ard_3-2-1_50HNK_2023-07-20_final.stac-item
2023-07-20 11:56:46	ga_s2bm_ard_3-2-1_50HLK_2023-07-20_final.stac-item
2023-07-20 11:57:00	ga_s2bm_ard_3-2-1_50HLJ_2023-07-20_final.stac-item
2023-07-21 09:47:50	ga_s2bm_ard_3-2-1_54HYC_2023-07-21_final.stac-item
2023-07-21 11:21:04	ga_s2bm_ard_3-2-1_52LEL_2023-07-21_final.stac-item
2023-07-21 11:21:44	ga_s2bm_ard_3-2-1_52LBJ_2023-07-21_final.stac-item
2023-07-21 11:22:29	ga_s2bm_ard_3-2-1_51KZA_2023-07-21_final.stac-item
2023-07-21 11:23:45	ga_s2bm_ard_3-2-1_51KYR_2023-07-21_final.stac-item
2023-07-21 11:23:56	ga_s2bm_ard_3-2-1_51KZQ_2023-07-21_final.stac-item
2023-07-21 11:24:21	ga_s2bm_ard_3-2-1_51KWP_2023-07-21_final.stac-item
2023-07-21 11:24:25	ga_s2bm_ard_3-2-1_51JZN_2023-07-21_final.stac-item
2023-07-21 11:24:43	ga_s2bm_ard_3-2-1_51JYM_2023-07-21_final.stac-item
2023-07-21 11:26:53	ga_s2bm_ard_3-2-1_51HXC_2023-07-21_final.stac-item
2023-07-21 11:27:00	ga_s2bm_ard_3-2-1_51HWC_2023-07-21_final.stac-item
2023-07-22 10:51:46	ga_s2bm_ard_3-2-1_53LNC_2023-07-22_final.stac-item
2023-07-22 10:51:48	ga_s2bm_ard_3-2-1_53LMC_2023-07-22_final.stac-item
2023-07-22 10:52:37	ga_s2bm_ard_3-2-1_52KHE_2023-07-22_final.stac-item
2023-07-22 10:53:34	ga_s2bm_ard_3-2-1_53KKR_2023-07-22_final.stac-item
2023-07-22 10:54:25	ga_s2bm_ard_3-2-1_52JGT_2023-07-22_final.stac-item
2023-07-22 10:55:05	ga_s2bm_ard_3-2-1_52JGQ_2023-07-22_final.stac-item
2023-07-22 10:55:23	ga_s2bm_ard_3-2-1_52JFP_2023-07-22_final.stac-item
2023-07-23 10:23:56	ga_s2bm_ard_3-2-1_53KRP_2023-07-23_final.stac-item
2023-07-23 10:25:20	ga_s2bm_ard_3-2-1_54JUN_2023-07-23_final.stac-item
2023-07-23 10:27:17	ga_s2bm_ard_3-2-1_54HTE_2023-07-23_final.stac-item
2023-07-23 10:27:20	ga_s2bm_ard_3-2-1_53HPV_2023-07-23_final.stac-item
2023-07-23 12:03:26	ga_s2bm_ard_3-2-1_50KNC_2023-07-23_final.stac-item
2023-07-23 12:03:29	ga_s2bm_ard_3-2-1_50KMC_2023-07-23_final.stac-item
2023-07-23 12:03:33	ga_s2bm_ard_3-2-1_50KLC_2023-07-23_final.stac-item
2023-07-23 12:05:35	ga_s2bm_ard_3-2-1_49JGK_2023-07-23_final.stac-item
2023-07-23 12:06:20	ga_s2bm_ard_3-2-1_50JLL_2023-07-23_final.stac-item
2023-08-05 10:37:07	ga_s2bm_ard_3-2-1_53HNA_2023-08-05_nrt.stac-item
2023-08-05 10:37:09	ga_s2bm_ard_3-2-1_53HMA_2023-08-05_nrt.stac-item
2023-08-05 12:10:32	ga_s2bm_ard_3-2-1_50LNP_2023-08-05_nrt.stac-item
2023-08-05 12:13:35	ga_s2bm_ard_3-2-1_49KGT_2023-08-05_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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