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
2023-10-08 11:53:04	ga_s2bm_ard_3-2-1_50KQD_2023-10-08_final.stac-item
2023-10-08 11:53:11	ga_s2bm_ard_3-2-1_50KRC_2023-10-08_final.stac-item
2023-10-08 11:53:22	ga_s2bm_ard_3-2-1_50KPC_2023-10-08_final.stac-item
2023-10-08 11:53:25	ga_s2bm_ard_3-2-1_50KNC_2023-10-08_final.stac-item
2023-10-08 11:53:36	ga_s2bm_ard_3-2-1_50KPB_2023-10-08_final.stac-item
2023-10-08 11:54:05	ga_s2bm_ard_3-2-1_50KPV_2023-10-08_final.stac-item
2023-10-08 11:54:20	ga_s2bm_ard_3-2-1_50KPU_2023-10-08_final.stac-item
2023-10-08 11:54:27	ga_s2bm_ard_3-2-1_50KMU_2023-10-08_final.stac-item
2023-10-08 11:54:34	ga_s2bm_ard_3-2-1_50JPT_2023-10-08_final.stac-item
2023-10-08 11:54:34	ga_s2bm_ard_3-2-1_50KLU_2023-10-08_final.stac-item
2023-10-08 11:54:38	ga_s2bm_ard_3-2-1_50JNT_2023-10-08_final.stac-item
2023-10-08 11:54:41	ga_s2bm_ard_3-2-1_50JMT_2023-10-08_final.stac-item
2023-10-08 11:54:45	ga_s2bm_ard_3-2-1_50JLT_2023-10-08_final.stac-item
2023-10-08 11:54:49	ga_s2bm_ard_3-2-1_50JPS_2023-10-08_final.stac-item
2023-10-08 11:54:52	ga_s2bm_ard_3-2-1_50JNS_2023-10-08_final.stac-item
2023-10-08 11:54:56	ga_s2bm_ard_3-2-1_50JMS_2023-10-08_final.stac-item
2023-10-08 11:54:59	ga_s2bm_ard_3-2-1_50JLS_2023-10-08_final.stac-item
2023-10-08 11:55:03	ga_s2bm_ard_3-2-1_50JPR_2023-10-08_final.stac-item
2023-10-08 11:55:07	ga_s2bm_ard_3-2-1_50JNR_2023-10-08_final.stac-item
2023-10-08 11:55:10	ga_s2bm_ard_3-2-1_50JMR_2023-10-08_final.stac-item
2023-10-08 11:55:13	ga_s2bm_ard_3-2-1_50JLR_2023-10-08_final.stac-item
2023-10-08 11:55:16	ga_s2bm_ard_3-2-1_50JPQ_2023-10-08_final.stac-item
2023-10-08 11:55:21	ga_s2bm_ard_3-2-1_50JNQ_2023-10-08_final.stac-item
2023-10-08 11:55:25	ga_s2bm_ard_3-2-1_50JMQ_2023-10-08_final.stac-item
2023-10-08 11:55:27	ga_s2bm_ard_3-2-1_50JPP_2023-10-08_final.stac-item
2023-10-08 11:55:28	ga_s2bm_ard_3-2-1_50JLQ_2023-10-08_final.stac-item
2023-10-08 11:55:35	ga_s2bm_ard_3-2-1_50JNP_2023-10-08_final.stac-item
2023-10-08 11:55:39	ga_s2bm_ard_3-2-1_50JMP_2023-10-08_final.stac-item
2023-10-08 11:55:43	ga_s2bm_ard_3-2-1_50JLP_2023-10-08_final.stac-item
2023-10-08 11:55:47	ga_s2bm_ard_3-2-1_50JKP_2023-10-08_final.stac-item
2023-10-08 11:55:50	ga_s2bm_ard_3-2-1_50JNN_2023-10-08_final.stac-item
2023-10-08 11:55:54	ga_s2bm_ard_3-2-1_50JMN_2023-10-08_final.stac-item
2023-10-08 11:55:56	ga_s2bm_ard_3-2-1_50JLN_2023-10-08_final.stac-item
2023-10-08 11:55:57	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-10-08 11:56:00	ga_s2bm_ard_3-2-1_50JNM_2023-10-08_final.stac-item
2023-10-08 11:56:01	ga_s2bm_ard_3-2-1_50JMN_2023-10-08_final.stac-item
2023-10-08 11:56:01	ga_s2bm_ard_3-2-1_50JMM_2023-10-08_final.stac-item
2023-10-08 11:56:02	ga_s2bm_ard_3-2-1_50JLN_2023-10-08_final.stac-item
2023-10-08 11:56:04	ga_s2bm_ard_3-2-1_50JKN_2023-10-08_final.stac-item
2023-10-08 11:56:06	ga_s2bm_ard_3-2-1_50JNM_2023-10-08_final.stac-item
2023-10-08 11:56:08	ga_s2bm_ard_3-2-1_50JMM_2023-10-08_final.stac-item
2023-10-08 11:56:12	ga_s2bm_ard_3-2-1_50JLM_2023-10-08_final.stac-item
2023-10-08 11:56:15	ga_s2bm_ard_3-2-1_50JKM_2023-10-08_final.stac-item
2023-10-08 11:56:19	ga_s2bm_ard_3-2-1_50JNL_2023-10-08_final.stac-item
2023-10-08 11:56:23	ga_s2bm_ard_3-2-1_50JML_2023-10-08_final.stac-item
2023-10-08 11:56:26	ga_s2bm_ard_3-2-1_50JLL_2023-10-08_final.stac-item
2023-10-08 11:56:31	ga_s2bm_ard_3-2-1_50HNK_2023-10-08_final.stac-item
2023-10-08 11:56:37	ga_s2bm_ard_3-2-1_50HMK_2023-10-08_final.stac-item
2023-10-08 11:56:41	ga_s2bm_ard_3-2-1_50HLK_2023-10-08_final.stac-item
2023-10-08 11:56:52	ga_s2bm_ard_3-2-1_50HMJ_2023-10-08_final.stac-item
2023-10-08 11:56:55	ga_s2bm_ard_3-2-1_50HLJ_2023-10-08_final.stac-item
2023-10-08 11:57:07	ga_s2bm_ard_3-2-1_50HMH_2023-10-08_final.stac-item
2023-10-08 11:57:10	ga_s2bm_ard_3-2-1_50HLH_2023-10-08_final.stac-item
2023-10-08 11:57:20	ga_s2bm_ard_3-2-1_50HMG_2023-10-08_final.stac-item
2023-10-08 11:57:23	ga_s2bm_ard_3-2-1_50HLG_2023-10-08_final.stac-item
2023-10-09 11:23:44	ga_s2bm_ard_3-2-1_51KXR_2023-10-09_final.stac-item
2023-10-09 11:24:27	ga_s2bm_ard_3-2-1_51JXN_2023-10-09_final.stac-item
2023-10-09 11:24:31	ga_s2bm_ard_3-2-1_51JWN_2023-10-09_final.stac-item
2023-10-09 11:24:38	ga_s2bm_ard_3-2-1_51JYM_2023-10-09_final.stac-item
2023-10-09 11:24:42	ga_s2bm_ard_3-2-1_51JXM_2023-10-09_final.stac-item
2023-10-09 11:24:52	ga_s2bm_ard_3-2-1_51JYL_2023-10-09_final.stac-item
2023-10-09 11:25:05	ga_s2bm_ard_3-2-1_51JVL_2023-10-09_final.stac-item
2023-10-09 11:25:14	ga_s2bm_ard_3-2-1_51JWK_2023-10-09_final.stac-item
2023-10-09 11:25:29	ga_s2bm_ard_3-2-1_51JWJ_2023-10-09_final.stac-item
2023-10-09 11:26:08	ga_s2bm_ard_3-2-1_51JXF_2023-10-09_final.stac-item
2023-10-09 11:26:16	ga_s2bm_ard_3-2-1_51JVF_2023-10-09_final.stac-item
2023-10-09 11:26:30	ga_s2bm_ard_3-2-1_51HVE_2023-10-09_final.stac-item
2023-10-09 11:26:45	ga_s2bm_ard_3-2-1_51HVD_2023-10-09_final.stac-item
2023-10-09 11:26:48	ga_s2bm_ard_3-2-1_51HUD_2023-10-09_final.stac-item
2023-10-09 11:26:49	ga_s2bm_ard_3-2-1_51HXC_2023-10-09_final.stac-item
2023-10-09 11:26:55	ga_s2bm_ard_3-2-1_51HWC_2023-10-09_final.stac-item
2023-10-09 11:27:03	ga_s2bm_ard_3-2-1_51HUC_2023-10-09_final.stac-item
2023-10-18 11:50:37	ga_s2bm_ard_3-2-1_50LRP_2023-10-18_nrt.stac-item
2023-10-18 11:50:40	ga_s2bm_ard_3-2-1_50LQP_2023-10-18_nrt.stac-item
2023-10-18 11:50:52	ga_s2bm_ard_3-2-1_50LRN_2023-10-18_nrt.stac-item
2023-10-18 11:50:55	ga_s2bm_ard_3-2-1_50LQN_2023-10-18_nrt.stac-item
2023-10-18 11:51:06	ga_s2bm_ard_3-2-1_50LRM_2023-10-18_nrt.stac-item
2023-10-18 11:51:21	ga_s2bm_ard_3-2-1_50LRL_2023-10-18_nrt.stac-item
2023-10-18 11:51:35	ga_s2bm_ard_3-2-1_50LRK_2023-10-18_nrt.stac-item
2023-10-18 11:51:41	ga_s2bm_ard_3-2-1_50LPK_2023-10-18_nrt.stac-item
2023-10-18 11:51:49	ga_s2bm_ard_3-2-1_50LRJ_2023-10-18_nrt.stac-item
2023-10-18 11:51:56	ga_s2bm_ard_3-2-1_50LPJ_2023-10-18_nrt.stac-item
2023-10-18 11:52:04	ga_s2bm_ard_3-2-1_50LRH_2023-10-18_nrt.stac-item
2023-10-18 11:52:11	ga_s2bm_ard_3-2-1_50LPH_2023-10-18_nrt.stac-item
2023-10-18 11:52:31	ga_s2bm_ard_3-2-1_50KNG_2023-10-18_nrt.stac-item
2023-10-18 11:52:43	ga_s2bm_ard_3-2-1_50KNF_2023-10-18_nrt.stac-item
2023-10-18 11:52:57	ga_s2bm_ard_3-2-1_50KNE_2023-10-18_nrt.stac-item
2023-10-18 11:53:12	ga_s2bm_ard_3-2-1_50KND_2023-10-18_nrt.stac-item
2023-10-18 11:56:31	ga_s2bm_ard_3-2-1_50JKL_2023-10-18_nrt.stac-item
2023-10-18 11:56:35	ga_s2bm_ard_3-2-1_49JGF_2023-10-18_nrt.stac-item
2023-10-18 11:56:46	ga_s2bm_ard_3-2-1_50HKK_2023-10-18_nrt.stac-item
2023-10-18 11:56:48	ga_s2bm_ard_3-2-1_49HGE_2023-10-18_nrt.stac-item
2023-10-18 11:57:00	ga_s2bm_ard_3-2-1_50HKJ_2023-10-18_nrt.stac-item
2023-10-18 11:57:02	ga_s2bm_ard_3-2-1_49HGD_2023-10-18_nrt.stac-item
2023-10-18 11:57:15	ga_s2bm_ard_3-2-1_50HKH_2023-10-18_nrt.stac-item
2023-10-18 11:57:17	ga_s2bm_ard_3-2-1_49HGC_2023-10-18_nrt.stac-item
2023-10-18 11:57:25	ga_s2bm_ard_3-2-1_49HFC_2023-10-18_nrt.stac-item
2023-10-18 11:57:26	ga_s2bm_ard_3-2-1_50HKG_2023-10-18_nrt.stac-item
2023-10-18 11:57:27	ga_s2bm_ard_3-2-1_49HGB_2023-10-18_nrt.stac-item
2023-10-18 11:57:29	ga_s2bm_ard_3-2-1_49HFB_2023-10-18_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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