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
2023-12-03 10:34:11	ga_s2bm_ard_3-2-1_53JNN_2023-12-03_final.stac-item
2023-12-03 10:36:43	ga_s2bm_ard_3-2-1_53HPB_2023-12-03_final.stac-item
2023-12-04 10:02:55	ga_s2bm_ard_3-2-1_55KER_2023-12-04_final.stac-item
2023-12-04 11:40:58	ga_s2bm_ard_3-2-1_51LVG_2023-12-04_final.stac-item
2023-12-06 10:41:20	ga_s2bm_ard_3-2-1_53LPD_2023-12-06_final.stac-item
2023-12-06 10:41:42	ga_s2bm_ard_3-2-1_53KRB_2023-12-06_final.stac-item
2023-12-06 10:43:24	ga_s2bm_ard_3-2-1_53KQQ_2023-12-06_final.stac-item
2023-12-06 10:43:49	ga_s2bm_ard_3-2-1_53KNP_2023-12-06_final.stac-item
2023-12-06 10:45:19	ga_s2bm_ard_3-2-1_53JMH_2023-12-06_final.stac-item
2023-12-06 10:45:23	ga_s2bm_ard_3-2-1_53JKH_2023-12-06_final.stac-item
2023-12-06 10:45:40	ga_s2bm_ard_3-2-1_53JKG_2023-12-06_final.stac-item
2023-12-07 10:11:34	ga_s2bm_ard_3-2-1_55KBB_2023-12-07_final.stac-item
2023-12-07 10:11:49	ga_s2bm_ard_3-2-1_54KZF_2023-12-07_final.stac-item
2023-12-07 10:12:03	ga_s2bm_ard_3-2-1_55KBV_2023-12-07_final.stac-item
2023-12-07 10:12:13	ga_s2bm_ard_3-2-1_55KCU_2023-12-07_final.stac-item
2023-12-07 10:12:17	ga_s2bm_ard_3-2-1_55KBU_2023-12-07_final.stac-item
2023-12-07 10:12:40	ga_s2bm_ard_3-2-1_54KXC_2023-12-07_final.stac-item
2023-12-07 10:12:51	ga_s2bm_ard_3-2-1_54KYB_2023-12-07_final.stac-item
2023-12-07 10:13:30	ga_s2bm_ard_3-2-1_54KZU_2023-12-07_final.stac-item
2023-12-07 10:13:42	ga_s2bm_ard_3-2-1_54JZT_2023-12-07_final.stac-item
2023-12-07 10:14:32	ga_s2bm_ard_3-2-1_54JYQ_2023-12-07_final.stac-item
2023-12-07 10:14:36	ga_s2bm_ard_3-2-1_54JXQ_2023-12-07_final.stac-item
2023-12-07 10:14:47	ga_s2bm_ard_3-2-1_54JXP_2023-12-07_final.stac-item
2023-12-07 10:14:50	ga_s2bm_ard_3-2-1_54JVQ_2023-12-07_final.stac-item
2023-12-07 10:14:53	ga_s2bm_ard_3-2-1_54JXP_2023-12-07_final.stac-item
2023-12-07 10:16:06	ga_s2bm_ard_3-2-1_54HWJ_2023-12-07_final.stac-item
2023-12-07 10:16:13	ga_s2bm_ard_3-2-1_54HUJ_2023-12-07_final.stac-item
2023-12-07 10:16:21	ga_s2bm_ard_3-2-1_54HWH_2023-12-07_final.stac-item
2023-12-07 10:16:28	ga_s2bm_ard_3-2-1_54HUH_2023-12-07_final.stac-item
2023-12-07 10:16:49	ga_s2bm_ard_3-2-1_53HQB_2023-12-07_final.stac-item
2023-12-07 11:51:10	ga_s2bm_ard_3-2-1_51LUF_2023-12-07_final.stac-item
2023-12-07 11:51:35	ga_s2bm_ard_3-2-1_51LUD_2023-12-07_final.stac-item
2023-12-07 11:52:16	ga_s2bm_ard_3-2-1_50KQG_2023-12-07_final.stac-item
2023-12-07 11:52:31	ga_s2bm_ard_3-2-1_50KQF_2023-12-07_final.stac-item
2023-12-07 11:53:43	ga_s2bm_ard_3-2-1_50KQA_2023-12-07_final.stac-item
2023-12-07 11:53:50	ga_s2bm_ard_3-2-1_50KNA_2023-12-07_final.stac-item
2023-12-07 11:54:08	ga_s2bm_ard_3-2-1_50KMV_2023-12-07_final.stac-item
2023-12-07 11:54:19	ga_s2bm_ard_3-2-1_50KNU_2023-12-07_final.stac-item
2023-12-07 11:54:23	ga_s2bm_ard_3-2-1_50KMU_2023-12-07_final.stac-item
2023-12-07 11:54:30	ga_s2bm_ard_3-2-1_50JPT_2023-12-07_final.stac-item
2023-12-07 11:54:41	ga_s2bm_ard_3-2-1_50JLT_2023-12-07_final.stac-item
2023-12-07 11:54:45	ga_s2bm_ard_3-2-1_50JPS_2023-12-07_final.stac-item
2023-12-07 11:54:48	ga_s2bm_ard_3-2-1_50JNS_2023-12-07_final.stac-item
2023-12-07 11:55:03	ga_s2bm_ard_3-2-1_50JNR_2023-12-07_final.stac-item
2023-12-07 11:55:12	ga_s2bm_ard_3-2-1_50JPQ_2023-12-07_final.stac-item
2023-12-07 11:55:24	ga_s2bm_ard_3-2-1_50JLQ_2023-12-07_final.stac-item
2023-12-07 11:55:39	ga_s2bm_ard_3-2-1_50JLP_2023-12-07_final.stac-item
2023-12-07 11:55:43	ga_s2bm_ard_3-2-1_50JKP_2023-12-07_final.stac-item
2023-12-07 11:56:04	ga_s2bm_ard_3-2-1_50JMM_2023-12-07_final.stac-item
2023-12-07 11:56:15	ga_s2bm_ard_3-2-1_50JNL_2023-12-07_final.stac-item
2023-12-07 11:56:27	ga_s2bm_ard_3-2-1_50HNK_2023-12-07_final.stac-item
2023-12-07 11:57:02	ga_s2bm_ard_3-2-1_50HMH_2023-12-07_final.stac-item
2023-12-07 11:57:06	ga_s2bm_ard_3-2-1_50HLH_2023-12-07_final.stac-item
2023-12-07 11:57:16	ga_s2bm_ard_3-2-1_50HMG_2023-12-07_final.stac-item
2023-12-17 11:50:23	ga_s2bm_ard_3-2-1_51LVJ_2023-12-17_nrt.stac-item
2023-12-17 11:50:33	ga_s2bm_ard_3-2-1_51LTJ_2023-12-17_nrt.stac-item
2023-12-17 11:50:34	ga_s2bm_ard_3-2-1_50LRP_2023-12-17_nrt.stac-item
2023-12-17 11:50:37	ga_s2bm_ard_3-2-1_50LQP_2023-12-17_nrt.stac-item
2023-12-17 11:50:44	ga_s2bm_ard_3-2-1_51LUH_2023-12-17_nrt.stac-item
2023-12-17 11:50:47	ga_s2bm_ard_3-2-1_51LTH_2023-12-17_nrt.stac-item
2023-12-17 11:50:52	ga_s2bm_ard_3-2-1_50LQN_2023-12-17_nrt.stac-item
2023-12-17 11:50:58	ga_s2bm_ard_3-2-1_51LUG_2023-12-17_nrt.stac-item
2023-12-17 11:51:02	ga_s2bm_ard_3-2-1_51LTG_2023-12-17_nrt.stac-item
2023-12-17 11:51:03	ga_s2bm_ard_3-2-1_50LRM_2023-12-17_nrt.stac-item
2023-12-17 11:51:16	ga_s2bm_ard_3-2-1_51LTF_2023-12-17_nrt.stac-item
2023-12-17 11:51:18	ga_s2bm_ard_3-2-1_50LRL_2023-12-17_nrt.stac-item
2023-12-17 11:51:31	ga_s2bm_ard_3-2-1_51LTE_2023-12-17_nrt.stac-item
2023-12-17 11:51:32	ga_s2bm_ard_3-2-1_50LRK_2023-12-17_nrt.stac-item
2023-12-17 11:51:39	ga_s2bm_ard_3-2-1_50LPK_2023-12-17_nrt.stac-item
2023-12-17 11:51:45	ga_s2bm_ard_3-2-1_51LTD_2023-12-17_nrt.stac-item
2023-12-17 11:51:47	ga_s2bm_ard_3-2-1_50LRJ_2023-12-17_nrt.stac-item
2023-12-17 11:51:53	ga_s2bm_ard_3-2-1_50LPJ_2023-12-17_nrt.stac-item
2023-12-17 11:52:01	ga_s2bm_ard_3-2-1_50LRH_2023-12-17_nrt.stac-item
2023-12-17 11:52:08	ga_s2bm_ard_3-2-1_50LPH_2023-12-17_nrt.stac-item
2023-12-17 11:52:15	ga_s2bm_ard_3-2-1_50KRG_2023-12-17_nrt.stac-item
2023-12-17 11:52:23	ga_s2bm_ard_3-2-1_50KRF_2023-12-17_nrt.stac-item
2023-12-17 11:52:30	ga_s2bm_ard_3-2-1_50KRF_2023-12-17_nrt.stac-item
2023-12-17 11:52:42	ga_s2bm_ard_3-2-1_51KTV_2023-12-17_nrt.stac-item
2023-12-17 11:56:45	ga_s2bm_ard_3-2-1_49HGE_2023-12-17_nrt.stac-item
2023-12-17 11:56:59	ga_s2bm_ard_3-2-1_49HGD_2023-12-17_nrt.stac-item
2023-12-17 11:57:14	ga_s2bm_ard_3-2-1_49HGC_2023-12-17_nrt.stac-item
2023-12-17 11:57:22	ga_s2bm_ard_3-2-1_49HFC_2023-12-17_nrt.stac-item
2023-12-17 11:57:24	ga_s2bm_ard_3-2-1_49HGB_2023-12-17_nrt.stac-item
2023-12-17 11:57:27	ga_s2bm_ard_3-2-1_50HMF_2023-12-17_nrt.stac-item
2023-12-18 09:39:42	ga_s2bm_ard_3-2-1_56LMP_2023-12-18_nrt.stac-item
2023-12-18 09:39:48	ga_s2bm_ard_3-2-1_56LLP_2023-12-18_nrt.stac-item
2023-12-18 09:40:00	ga_s2bm_ard_3-2-1_56LLN_2023-12-18_nrt.stac-item
2023-12-18 09:40:05	ga_s2bm_ard_3-2-1_56LNM_2023-12-18_nrt.stac-item
2023-12-18 09:40:06	ga_s2bm_ard_3-2-1_56LMM_2023-12-18_nrt.stac-item
2023-12-18 09:40:08	ga_s2bm_ard_3-2-1_56LLM_2023-12-18_nrt.stac-item
2023-12-18 09:41:16	ga_s2bm_ard_3-2-1_56LMH_2023-12-18_nrt.stac-item
2023-12-18 09:41:59	ga_s2bm_ard_3-2-1_56KKE_2023-12-18_nrt.stac-item
2023-12-18 09:42:13	ga_s2bm_ard_3-2-1_56KKD_2023-12-18_nrt.stac-item
2023-12-18 09:43:01	ga_s2bm_ard_3-2-1_56KMV_2023-12-18_nrt.stac-item
2023-12-18 11:20:19	ga_s2bm_ard_3-2-1_52LDP_2023-12-18_nrt.stac-item
2023-12-18 11:20:25	ga_s2bm_ard_3-2-1_52LDN_2023-12-18_nrt.stac-item
2023-12-18 11:20:25	ga_s2bm_ard_3-2-1_52LDP_2023-12-18_nrt.stac-item
2023-12-18 11:20:55	ga_s2bm_ard_3-2-1_52LBM_2023-12-18_nrt.stac-item
2023-12-18 11:21:03	ga_s2bm_ard_3-2-1_52LDL_2023-12-18_nrt.stac-item
2023-12-18 11:21:06	ga_s2bm_ard_3-2-1_52LCL_2023-12-18_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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