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
2023-10-16 09:35:52	ga_s2bm_ard_3-2-1_55HFE_2023-10-16_final.stac-item
2023-10-16 09:37:21	ga_s2bm_ard_3-2-1_55HEU_2023-10-16_final.stac-item
2023-10-16 09:38:51	ga_s2bm_ard_3-2-1_55GDN_2023-10-16_final.stac-item
2023-10-16 09:39:06	ga_s2bm_ard_3-2-1_55GCM_2023-10-16_final.stac-item
2023-10-16 11:11:04	ga_s2bm_ard_3-2-1_52LFL_2023-10-16_final.stac-item
2023-10-16 11:11:18	ga_s2bm_ard_3-2-1_52LFK_2023-10-16_final.stac-item
2023-10-16 11:12:05	ga_s2bm_ard_3-2-1_52KEG_2023-10-16_final.stac-item
2023-10-16 11:12:31	ga_s2bm_ard_3-2-1_52KFE_2023-10-16_final.stac-item
2023-10-16 11:13:10	ga_s2bm_ard_3-2-1_52KCC_2023-10-16_final.stac-item
2023-10-16 11:13:32	ga_s2bm_ard_3-2-1_52KEA_2023-10-16_final.stac-item
2023-10-16 11:14:55	ga_s2bm_ard_3-2-1_52JBR_2023-10-16_final.stac-item
2023-10-16 11:15:06	ga_s2bm_ard_3-2-1_52JCQ_2023-10-16_final.stac-item
2023-10-16 11:15:14	ga_s2bm_ard_3-2-1_52JDP_2023-10-16_final.stac-item
2023-10-16 11:16:25	ga_s2bm_ard_3-2-1_51HYE_2023-10-16_final.stac-item
2023-10-16 11:16:46	ga_s2bm_ard_3-2-1_51HWD_2023-10-16_final.stac-item
2023-10-17 10:41:08	ga_s2bm_ard_3-2-1_53LQE_2023-10-17_final.stac-item
2023-10-17 10:41:22	ga_s2bm_ard_3-2-1_53LQD_2023-10-17_final.stac-item
2023-10-17 10:42:24	ga_s2bm_ard_3-2-1_53KPV_2023-10-17_final.stac-item
2023-10-17 10:42:27	ga_s2bm_ard_3-2-1_53KNV_2023-10-17_final.stac-item
2023-10-17 10:42:41	ga_s2bm_ard_3-2-1_53KNU_2023-10-17_final.stac-item
2023-10-17 10:42:58	ga_s2bm_ard_3-2-1_53KPT_2023-10-17_final.stac-item
2023-10-17 10:43:14	ga_s2bm_ard_3-2-1_53KMS_2023-10-17_final.stac-item
2023-10-17 10:43:25	ga_s2bm_ard_3-2-1_53KNR_2023-10-17_final.stac-item
2023-10-17 10:43:40	ga_s2bm_ard_3-2-1_53KNQ_2023-10-17_final.stac-item
2023-10-17 10:43:54	ga_s2bm_ard_3-2-1_53KNP_2023-10-17_final.stac-item
2023-10-17 10:45:31	ga_s2bm_ard_3-2-1_53JKH_2023-10-17_final.stac-item
2023-10-17 10:45:46	ga_s2bm_ard_3-2-1_53JKG_2023-10-17_final.stac-item
2023-10-17 10:46:17	ga_s2bm_ard_3-2-1_52HGK_2023-10-17_final.stac-item
2023-10-17 10:46:23	ga_s2bm_ard_3-2-1_53HMD_2023-10-17_final.stac-item
2023-10-18 10:10:28	ga_s2bm_ard_3-2-1_54LZM_2023-10-18_final.stac-item
2023-10-18 10:11:40	ga_s2bm_ard_3-2-1_54KZG_2023-10-18_final.stac-item
2023-10-18 10:11:44	ga_s2bm_ard_3-2-1_54KYG_2023-10-18_final.stac-item
2023-10-18 10:12:30	ga_s2bm_ard_3-2-1_54KXD_2023-10-18_final.stac-item
2023-10-18 10:12:45	ga_s2bm_ard_3-2-1_54KXC_2023-10-18_final.stac-item
2023-10-18 10:12:52	ga_s2bm_ard_3-2-1_55KBS_2023-10-18_final.stac-item
2023-10-18 10:12:56	ga_s2bm_ard_3-2-1_54KYB_2023-10-18_final.stac-item
2023-10-18 10:15:03	ga_s2bm_ard_3-2-1_54JVP_2023-10-18_final.stac-item
2023-10-18 10:15:43	ga_s2bm_ard_3-2-1_54JWL_2023-10-18_final.stac-item
2023-10-18 10:16:15	ga_s2bm_ard_3-2-1_54HVJ_2023-10-18_final.stac-item
2023-10-18 10:16:41	ga_s2bm_ard_3-2-1_54HWG_2023-10-18_final.stac-item
2023-10-18 10:16:54	ga_s2bm_ard_3-2-1_54HWF_2023-10-18_final.stac-item
2023-10-18 10:17:07	ga_s2bm_ard_3-2-1_53HQA_2023-10-18_final.stac-item
2023-10-18 10:17:13	ga_s2bm_ard_3-2-1_54HVE_2023-10-18_final.stac-item
2023-10-18 10:17:28	ga_s2bm_ard_3-2-1_54HVD_2023-10-18_final.stac-item
2023-10-18 11:52:40	ga_s2bm_ard_3-2-1_50KPF_2023-10-18_final.stac-item
2023-10-18 11:53:13	ga_s2bm_ard_3-2-1_50KRC_2023-10-18_final.stac-item
2023-10-18 11:53:19	ga_s2bm_ard_3-2-1_50KQC_2023-10-18_final.stac-item
2023-10-18 11:53:45	ga_s2bm_ard_3-2-1_50KMB_2023-10-18_final.stac-item
2023-10-18 11:54:15	ga_s2bm_ard_3-2-1_50KQU_2023-10-18_final.stac-item
2023-10-18 11:54:35	ga_s2bm_ard_3-2-1_50JPT_2023-10-18_final.stac-item
2023-10-18 11:54:36	ga_s2bm_ard_3-2-1_50KLU_2023-10-18_final.stac-item
2023-10-18 11:54:50	ga_s2bm_ard_3-2-1_50JPS_2023-10-18_final.stac-item
2023-10-18 11:54:54	ga_s2bm_ard_3-2-1_50JNS_2023-10-18_final.stac-item
2023-10-18 11:55:00	ga_s2bm_ard_3-2-1_50JLS_2023-10-18_final.stac-item
2023-10-18 11:55:26	ga_s2bm_ard_3-2-1_50JMQ_2023-10-18_final.stac-item
2023-10-18 11:56:06	ga_s2bm_ard_3-2-1_50JLN_2023-10-18_final.stac-item
2023-10-18 11:56:57	ga_s2bm_ard_3-2-1_50HLJ_2023-10-18_final.stac-item
2023-10-19 09:46:08	ga_s2bm_ard_3-2-1_55HDD_2023-10-19_final.stac-item
2023-10-19 09:46:09	ga_s2bm_ard_3-2-1_55HGC_2023-10-19_final.stac-item
2023-10-19 09:46:19	ga_s2bm_ard_3-2-1_55HEC_2023-10-19_final.stac-item
2023-10-19 09:46:45	ga_s2bm_ard_3-2-1_55HEA_2023-10-19_final.stac-item
2023-10-19 09:47:02	ga_s2bm_ard_3-2-1_55HEV_2023-10-19_final.stac-item
2023-10-19 09:47:38	ga_s2bm_ard_3-2-1_55HCT_2023-10-19_final.stac-item
2023-10-19 09:48:11	ga_s2bm_ard_3-2-1_54GYA_2023-10-19_final.stac-item
2023-10-19 11:21:23	ga_s2bm_ard_3-2-1_52LCK_2023-10-19_final.stac-item
2023-10-19 11:22:14	ga_s2bm_ard_3-2-1_51KYB_2023-10-19_final.stac-item
2023-10-19 11:22:26	ga_s2bm_ard_3-2-1_51KZA_2023-10-19_final.stac-item
2023-10-19 11:22:39	ga_s2bm_ard_3-2-1_52KBE_2023-10-19_final.stac-item
2023-10-19 11:24:28	ga_s2bm_ard_3-2-1_51JXN_2023-10-19_final.stac-item
2023-10-19 11:24:43	ga_s2bm_ard_3-2-1_51JXM_2023-10-19_final.stac-item
2023-10-19 11:26:09	ga_s2bm_ard_3-2-1_51JXF_2023-10-19_final.stac-item
2023-10-19 11:27:09	ga_s2bm_ard_3-2-1_51HWB_2023-10-19_final.stac-item
2023-10-28 10:17:40	ga_s2bm_ard_3-2-1_54HUC_2023-10-28_nrt.stac-item
2023-10-28 11:50:25	ga_s2bm_ard_3-2-1_51LVJ_2023-10-28_nrt.stac-item
2023-10-28 11:51:28	ga_s2bm_ard_3-2-1_50LPL_2023-10-28_nrt.stac-item
2023-10-28 11:51:37	ga_s2bm_ard_3-2-1_50LQK_2023-10-28_nrt.stac-item
2023-10-28 11:51:52	ga_s2bm_ard_3-2-1_50LQJ_2023-10-28_nrt.stac-item
2023-10-28 11:51:55	ga_s2bm_ard_3-2-1_50LPJ_2023-10-28_nrt.stac-item
2023-10-28 11:52:07	ga_s2bm_ard_3-2-1_50LQH_2023-10-28_nrt.stac-item
2023-10-28 11:52:24	ga_s2bm_ard_3-2-1_50KPG_2023-10-28_nrt.stac-item
2023-10-28 11:52:30	ga_s2bm_ard_3-2-1_50KNG_2023-10-28_nrt.stac-item
2023-10-28 11:52:42	ga_s2bm_ard_3-2-1_50KNF_2023-10-28_nrt.stac-item
2023-10-28 11:52:53	ga_s2bm_ard_3-2-1_50KPE_2023-10-28_nrt.stac-item
2023-10-28 11:52:56	ga_s2bm_ard_3-2-1_50KNE_2023-10-28_nrt.stac-item
2023-10-28 11:53:11	ga_s2bm_ard_3-2-1_50KND_2023-10-28_nrt.stac-item
2023-10-28 11:56:30	ga_s2bm_ard_3-2-1_50JKL_2023-10-28_nrt.stac-item
2023-10-28 11:56:47	ga_s2bm_ard_3-2-1_49HGE_2023-10-28_nrt.stac-item
2023-10-28 11:57:01	ga_s2bm_ard_3-2-1_49HGD_2023-10-28_nrt.stac-item
2023-10-28 11:57:06	ga_s2bm_ard_3-2-1_50HKJ_2023-10-28_nrt.stac-item
2023-10-28 11:57:07	ga_s2bm_ard_3-2-1_49HGC_2023-10-28_nrt.stac-item
2023-10-28 11:57:14	ga_s2bm_ard_3-2-1_50HKH_2023-10-28_nrt.stac-item
2023-10-28 11:57:24	ga_s2bm_ard_3-2-1_49HFC_2023-10-28_nrt.stac-item
2023-10-28 11:57:25	ga_s2bm_ard_3-2-1_50HKG_2023-10-28_nrt.stac-item
2023-10-29 09:41:47	ga_s2bm_ard_3-2-1_55KHA_2023-10-29_nrt.stac-item
2023-10-29 09:48:39	ga_s2bm_ard_3-2-1_54GYU_2023-10-29_nrt.stac-item
2023-10-29 09:48:44	ga_s2bm_ard_3-2-1_54GXU_2023-10-29_nrt.stac-item
2023-10-29 09:48:54	ga_s2bm_ard_3-2-1_54GYT_2023-10-29_nrt.stac-item
2023-10-29 09:48:57	ga_s2bm_ard_3-2-1_54GXT_2023-10-29_nrt.stac-item
2023-10-29 09:49:01	ga_s2bm_ard_3-2-1_54GYS_2023-10-29_nrt.stac-item
2023-10-29 11:20:39	ga_s2bm_ard_3-2-1_52LCN_2023-10-29_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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