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
2023-11-06 10:41:24	ga_s2bm_ard_3-2-1_53LPD_2023-11-06_final.stac-item
2023-11-07 10:14:16	ga_s2bm_ard_3-2-1_54JWS_2023-11-07_final.stac-item
2023-11-07 10:14:31	ga_s2bm_ard_3-2-1_54JWR_2023-11-07_final.stac-item
2023-11-07 10:14:49	ga_s2bm_ard_3-2-1_54JVQ_2023-11-07_final.stac-item
2023-11-07 10:15:10	ga_s2bm_ard_3-2-1_54JXN_2023-11-07_final.stac-item
2023-11-07 10:15:21	ga_s2bm_ard_3-2-1_54JUN_2023-11-07_final.stac-item
2023-11-07 10:15:25	ga_s2bm_ard_3-2-1_54JXM_2023-11-07_final.stac-item
2023-11-07 10:15:43	ga_s2bm_ard_3-2-1_54JWL_2023-11-07_final.stac-item
2023-11-07 10:15:57	ga_s2bm_ard_3-2-1_54HWK_2023-11-07_final.stac-item
2023-11-07 10:16:01	ga_s2bm_ard_3-2-1_54HVK_2023-11-07_final.stac-item
2023-11-07 10:16:19	ga_s2bm_ard_3-2-1_54HUJ_2023-11-07_final.stac-item
2023-11-07 10:16:33	ga_s2bm_ard_3-2-1_54HUH_2023-11-07_final.stac-item
2023-11-07 10:16:41	ga_s2bm_ard_3-2-1_54HWG_2023-11-07_final.stac-item
2023-11-07 10:16:51	ga_s2bm_ard_3-2-1_54HTG_2023-11-07_final.stac-item
2023-11-07 10:16:55	ga_s2bm_ard_3-2-1_54HWF_2023-11-07_final.stac-item
2023-11-07 10:17:06	ga_s2bm_ard_3-2-1_54HTF_2023-11-07_final.stac-item
2023-11-07 10:17:13	ga_s2bm_ard_3-2-1_54HVE_2023-11-07_final.stac-item
2023-11-07 10:17:17	ga_s2bm_ard_3-2-1_54HUE_2023-11-07_final.stac-item
2023-11-07 10:17:28	ga_s2bm_ard_3-2-1_54HVD_2023-11-07_final.stac-item
2023-11-07 10:17:32	ga_s2bm_ard_3-2-1_54HUD_2023-11-07_final.stac-item
2023-11-07 11:51:16	ga_s2bm_ard_3-2-1_51LUF_2023-11-07_final.stac-item
2023-11-07 11:52:22	ga_s2bm_ard_3-2-1_50KQG_2023-11-07_final.stac-item
2023-11-07 11:52:37	ga_s2bm_ard_3-2-1_50KQF_2023-11-07_final.stac-item
2023-11-07 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2023-11-07_final.stac-item
2023-11-07 11:52:51	ga_s2bm_ard_3-2-1_50KQE_2023-11-07_final.stac-item
2023-11-07 11:53:09	ga_s2bm_ard_3-2-1_50KPD_2023-11-07_final.stac-item
2023-11-07 11:53:34	ga_s2bm_ard_3-2-1_50KQB_2023-11-07_final.stac-item
2023-11-07 11:53:41	ga_s2bm_ard_3-2-1_50KNB_2023-11-07_final.stac-item
2023-11-07 11:53:49	ga_s2bm_ard_3-2-1_50KQA_2023-11-07_final.stac-item
2023-11-07 11:53:53	ga_s2bm_ard_3-2-1_50KPA_2023-11-07_final.stac-item
2023-11-07 11:54:25	ga_s2bm_ard_3-2-1_50KNU_2023-11-07_final.stac-item
2023-11-07 11:54:28	ga_s2bm_ard_3-2-1_50KMU_2023-11-07_final.stac-item
2023-11-07 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2023-11-07_final.stac-item
2023-11-07 11:54:40	ga_s2bm_ard_3-2-1_50JNT_2023-11-07_final.stac-item
2023-11-07 11:54:43	ga_s2bm_ard_3-2-1_50JMT_2023-11-07_final.stac-item
2023-11-07 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2023-11-07_final.stac-item
2023-11-07 11:54:57	ga_s2bm_ard_3-2-1_50JMS_2023-11-07_final.stac-item
2023-11-07 11:55:15	ga_s2bm_ard_3-2-1_50JLR_2023-11-07_final.stac-item
2023-11-07 11:55:23	ga_s2bm_ard_3-2-1_50JNQ_2023-11-07_final.stac-item
2023-11-07 11:55:29	ga_s2bm_ard_3-2-1_50JPP_2023-11-07_final.stac-item
2023-11-07 11:55:30	ga_s2bm_ard_3-2-1_50JLQ_2023-11-07_final.stac-item
2023-11-07 11:55:37	ga_s2bm_ard_3-2-1_50JNP_2023-11-07_final.stac-item
2023-11-07 11:55:41	ga_s2bm_ard_3-2-1_50JMP_2023-11-07_final.stac-item
2023-11-07 11:55:44	ga_s2bm_ard_3-2-1_50JLP_2023-11-07_final.stac-item
2023-11-07 11:55:59	ga_s2bm_ard_3-2-1_50JLN_2023-11-07_final.stac-item
2023-11-07 11:56:07	ga_s2bm_ard_3-2-1_50JNM_2023-11-07_final.stac-item
2023-11-07 11:56:13	ga_s2bm_ard_3-2-1_50JLM_2023-11-07_final.stac-item
2023-11-07 11:56:16	ga_s2bm_ard_3-2-1_50JKM_2023-11-07_final.stac-item
2023-11-07 11:56:20	ga_s2bm_ard_3-2-1_50JNL_2023-11-07_final.stac-item
2023-11-07 11:56:25	ga_s2bm_ard_3-2-1_50JML_2023-11-07_final.stac-item
2023-11-07 11:56:32	ga_s2bm_ard_3-2-1_50HNK_2023-11-07_final.stac-item
2023-11-07 11:56:39	ga_s2bm_ard_3-2-1_50HMK_2023-11-07_final.stac-item
2023-11-07 11:56:43	ga_s2bm_ard_3-2-1_50HLK_2023-11-07_final.stac-item
2023-11-07 11:56:53	ga_s2bm_ard_3-2-1_50HMJ_2023-11-07_final.stac-item
2023-11-07 11:57:12	ga_s2bm_ard_3-2-1_50HLH_2023-11-07_final.stac-item
2023-11-07 11:57:22	ga_s2bm_ard_3-2-1_50HMG_2023-11-07_final.stac-item
2023-11-08 11:21:34	ga_s2bm_ard_3-2-1_52LDJ_2023-11-08_final.stac-item
2023-11-08 11:22:01	ga_s2bm_ard_3-2-1_51LYC_2023-11-08_final.stac-item
2023-11-08 11:22:07	ga_s2bm_ard_3-2-1_52KCG_2023-11-08_final.stac-item
2023-11-08 11:22:14	ga_s2bm_ard_3-2-1_51KYB_2023-11-08_final.stac-item
2023-11-08 11:22:54	ga_s2bm_ard_3-2-1_52KBD_2023-11-08_final.stac-item
2023-11-08 11:23:03	ga_s2bm_ard_3-2-1_51KXU_2023-11-08_final.stac-item
2023-11-08 11:23:16	ga_s2bm_ard_3-2-1_51KXT_2023-11-08_final.stac-item
2023-11-08 11:23:52	ga_s2bm_ard_3-2-1_52KBV_2023-11-08_final.stac-item
2023-11-08 11:23:52	ga_s2bm_ard_3-2-1_51KZQ_2023-11-08_final.stac-item
2023-11-08 11:24:04	ga_s2bm_ard_3-2-1_51KWQ_2023-11-08_final.stac-item
2023-11-08 11:24:07	ga_s2bm_ard_3-2-1_52KBU_2023-11-08_final.stac-item
2023-11-08 11:24:10	ga_s2bm_ard_3-2-1_51KYP_2023-11-08_final.stac-item
2023-11-08 11:24:29	ga_s2bm_ard_3-2-1_51JXN_2023-11-08_final.stac-item
2023-11-08 11:24:34	ga_s2bm_ard_3-2-1_51JZM_2023-11-08_final.stac-item
2023-11-08 11:24:46	ga_s2bm_ard_3-2-1_52JBR_2023-11-08_final.stac-item
2023-11-08 11:25:06	ga_s2bm_ard_3-2-1_51JVL_2023-11-08_final.stac-item
2023-11-08 11:25:41	ga_s2bm_ard_3-2-1_51JXH_2023-11-08_final.stac-item
2023-11-08 11:26:46	ga_s2bm_ard_3-2-1_51HVD_2023-11-08_final.stac-item
2023-11-17 11:50:33	ga_s2bm_ard_3-2-1_50LRP_2023-11-17_nrt.stac-item
2023-11-17 11:50:43	ga_s2bm_ard_3-2-1_51LUH_2023-11-17_nrt.stac-item
2023-11-17 11:50:47	ga_s2bm_ard_3-2-1_51LTH_2023-11-17_nrt.stac-item
2023-11-17 11:50:51	ga_s2bm_ard_3-2-1_50LQN_2023-11-17_nrt.stac-item
2023-11-17 11:50:58	ga_s2bm_ard_3-2-1_51LUG_2023-11-17_nrt.stac-item
2023-11-17 11:51:01	ga_s2bm_ard_3-2-1_51LTG_2023-11-17_nrt.stac-item
2023-11-17 11:51:02	ga_s2bm_ard_3-2-1_50LRM_2023-11-17_nrt.stac-item
2023-11-17 11:51:30	ga_s2bm_ard_3-2-1_51LTE_2023-11-17_nrt.stac-item
2023-11-17 11:51:38	ga_s2bm_ard_3-2-1_50LPK_2023-11-17_nrt.stac-item
2023-11-17 11:51:44	ga_s2bm_ard_3-2-1_51LTD_2023-11-17_nrt.stac-item
2023-11-17 11:51:46	ga_s2bm_ard_3-2-1_50LRJ_2023-11-17_nrt.stac-item
2023-11-17 11:51:52	ga_s2bm_ard_3-2-1_50LPJ_2023-11-17_nrt.stac-item
2023-11-17 11:51:59	ga_s2bm_ard_3-2-1_51LTC_2023-11-17_nrt.stac-item
2023-11-17 11:52:22	ga_s2bm_ard_3-2-1_50KPG_2023-11-17_nrt.stac-item
2023-11-17 11:52:51	ga_s2bm_ard_3-2-1_50KPE_2023-11-17_nrt.stac-item
2023-11-17 11:56:42	ga_s2bm_ard_3-2-1_50HKK_2023-11-17_nrt.stac-item
2023-11-17 11:56:59	ga_s2bm_ard_3-2-1_49HGD_2023-11-17_nrt.stac-item
2023-11-17 11:57:11	ga_s2bm_ard_3-2-1_50HKH_2023-11-17_nrt.stac-item
2023-11-17 11:57:13	ga_s2bm_ard_3-2-1_49HGC_2023-11-17_nrt.stac-item
2023-11-17 11:57:22	ga_s2bm_ard_3-2-1_50HKG_2023-11-17_nrt.stac-item
2023-11-18 11:20:18	ga_s2bm_ard_3-2-1_52LDP_2023-11-18_nrt.stac-item
2023-11-18 11:20:24	ga_s2bm_ard_3-2-1_52LBP_2023-11-18_nrt.stac-item
2023-11-18 11:20:32	ga_s2bm_ard_3-2-1_52LDN_2023-11-18_nrt.stac-item
2023-11-18 11:20:38	ga_s2bm_ard_3-2-1_52LBN_2023-11-18_nrt.stac-item
2023-11-18 11:20:47	ga_s2bm_ard_3-2-1_52LDM_2023-11-18_nrt.stac-item
2023-11-18 11:21:01	ga_s2bm_ard_3-2-1_52LDL_2023-11-18_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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