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
2023-01-16 11:00:56	ga_s2bm_ard_3-2-1_52LHL_2023-01-16_final.stac-item
2023-01-16 11:02:44	ga_s2bm_ard_3-2-1_52KFD_2023-01-16_final.stac-item
2023-01-17 12:13:55	ga_s2bm_ard_3-2-1_49KGR_2023-01-17_final.stac-item
2023-01-18 11:40:58	ga_s2bm_ard_3-2-1_51LVG_2023-01-18_final.stac-item
2023-01-18 11:41:15	ga_s2bm_ard_3-2-1_51LUF_2023-01-18_final.stac-item
2023-01-18 11:42:25	ga_s2bm_ard_3-2-1_51KVA_2023-01-18_final.stac-item
2023-01-18 11:42:28	ga_s2bm_ard_3-2-1_51KUA_2023-01-18_final.stac-item
2023-01-18 11:42:39	ga_s2bm_ard_3-2-1_51KVV_2023-01-18_final.stac-item
2023-01-18 11:42:54	ga_s2bm_ard_3-2-1_51KVU_2023-01-18_final.stac-item
2023-01-18 11:43:00	ga_s2bm_ard_3-2-1_51KTU_2023-01-18_final.stac-item
2023-01-18 11:43:01	ga_s2bm_ard_3-2-1_50KRD_2023-01-18_final.stac-item
2023-01-18 11:43:30	ga_s2bm_ard_3-2-1_50KRB_2023-01-18_final.stac-item
2023-01-18 11:43:41	ga_s2bm_ard_3-2-1_51KUR_2023-01-18_final.stac-item
2023-01-18 11:43:44	ga_s2bm_ard_3-2-1_50KRA_2023-01-18_final.stac-item
2023-01-18 11:44:07	ga_s2bm_ard_3-2-1_50KPV_2023-01-18_final.stac-item
2023-01-18 11:44:13	ga_s2bm_ard_3-2-1_50KRU_2023-01-18_final.stac-item
2023-01-18 11:44:17	ga_s2bm_ard_3-2-1_50KQU_2023-01-18_final.stac-item
2023-01-18 11:44:25	ga_s2bm_ard_3-2-1_51JUN_2023-01-18_final.stac-item
2023-01-18 11:44:28	ga_s2bm_ard_3-2-1_50JRT_2023-01-18_final.stac-item
2023-01-18 11:44:32	ga_s2bm_ard_3-2-1_50JQT_2023-01-18_final.stac-item
2023-01-18 11:44:35	ga_s2bm_ard_3-2-1_50JPT_2023-01-18_final.stac-item
2023-01-18 11:44:42	ga_s2bm_ard_3-2-1_50JRS_2023-01-18_final.stac-item
2023-01-18 11:44:42	ga_s2bm_ard_3-2-1_51JTM_2023-01-18_final.stac-item
2023-01-18 11:44:46	ga_s2bm_ard_3-2-1_50JQS_2023-01-18_final.stac-item
2023-01-18 11:45:01	ga_s2bm_ard_3-2-1_50JQR_2023-01-18_final.stac-item
2023-01-18 11:45:18	ga_s2bm_ard_3-2-1_50JPQ_2023-01-18_final.stac-item
2023-01-18 11:45:22	ga_s2bm_ard_3-2-1_50JNQ_2023-01-18_final.stac-item
2023-01-18 11:45:29	ga_s2bm_ard_3-2-1_50JQP_2023-01-18_final.stac-item
2023-01-18 11:45:47	ga_s2bm_ard_3-2-1_50JPN_2023-01-18_final.stac-item
2023-01-18 11:45:58	ga_s2bm_ard_3-2-1_50JQM_2023-01-18_final.stac-item
2023-01-18 11:46:02	ga_s2bm_ard_3-2-1_50JPM_2023-01-18_final.stac-item
2023-01-18 11:46:05	ga_s2bm_ard_3-2-1_50JNM_2023-01-18_final.stac-item
2023-01-18 11:46:10	ga_s2bm_ard_3-2-1_50JMM_2023-01-18_final.stac-item
2023-01-18 11:46:12	ga_s2bm_ard_3-2-1_50JQL_2023-01-18_final.stac-item
2023-01-18 11:46:20	ga_s2bm_ard_3-2-1_50JNL_2023-01-18_final.stac-item
2023-01-18 11:46:31	ga_s2bm_ard_3-2-1_50HPK_2023-01-18_final.stac-item
2023-01-18 11:46:45	ga_s2bm_ard_3-2-1_50HPJ_2023-01-18_final.stac-item
2023-01-18 11:46:49	ga_s2bm_ard_3-2-1_50HNJ_2023-01-18_final.stac-item
2023-01-18 11:46:51	ga_s2bm_ard_3-2-1_50HQH_2023-01-18_final.stac-item
2023-01-18 11:46:53	ga_s2bm_ard_3-2-1_50HMJ_2023-01-18_final.stac-item
2023-01-18 11:46:59	ga_s2bm_ard_3-2-1_50HPH_2023-01-18_final.stac-item
2023-01-18 11:47:07	ga_s2bm_ard_3-2-1_50HMH_2023-01-18_final.stac-item
2023-01-18 11:47:11	ga_s2bm_ard_3-2-1_50HLH_2023-01-18_final.stac-item
2023-01-19 11:10:41	ga_s2bm_ard_3-2-1_52LGM_2023-01-19_final.stac-item
2023-01-19 11:10:59	ga_s2bm_ard_3-2-1_52LFL_2023-01-19_final.stac-item
2023-01-19 11:11:28	ga_s2bm_ard_3-2-1_52LFJ_2023-01-19_final.stac-item
2023-01-19 11:11:34	ga_s2bm_ard_3-2-1_52LDJ_2023-01-19_final.stac-item
2023-01-19 11:11:37	ga_s2bm_ard_3-2-1_52LGH_2023-01-19_final.stac-item
2023-01-19 11:12:00	ga_s2bm_ard_3-2-1_52KEG_2023-01-19_final.stac-item
2023-01-19 11:12:03	ga_s2bm_ard_3-2-1_52KDG_2023-01-19_final.stac-item
2023-01-19 11:12:40	ga_s2bm_ard_3-2-1_52KFD_2023-01-19_final.stac-item
2023-01-19 11:13:02	ga_s2bm_ard_3-2-1_52KDC_2023-01-19_final.stac-item
2023-01-19 11:13:13	ga_s2bm_ard_3-2-1_52KEB_2023-01-19_final.stac-item
2023-01-19 11:13:31	ga_s2bm_ard_3-2-1_52KDA_2023-01-19_final.stac-item
2023-01-19 11:13:52	ga_s2bm_ard_3-2-1_51KZQ_2023-01-19_final.stac-item
2023-01-19 11:13:55	ga_s2bm_ard_3-2-1_52KEU_2023-01-19_final.stac-item
2023-01-19 11:14:00	ga_s2bm_ard_3-2-1_52KDU_2023-01-19_final.stac-item
2023-01-19 11:14:05	ga_s2bm_ard_3-2-1_52JET_2023-01-19_final.stac-item
2023-01-19 11:14:06	ga_s2bm_ard_3-2-1_52KBU_2023-01-19_final.stac-item
2023-01-19 11:14:18	ga_s2bm_ard_3-2-1_52JCT_2023-01-19_final.stac-item
2023-01-19 11:14:30	ga_s2bm_ard_3-2-1_52JBS_2023-01-19_final.stac-item
2023-01-19 11:14:33	ga_s2bm_ard_3-2-1_52JDS_2023-01-19_final.stac-item
2023-01-19 11:14:39	ga_s2bm_ard_3-2-1_51JYM_2023-01-19_final.stac-item
2023-01-19 11:14:47	ga_s2bm_ard_3-2-1_52JCR_2023-01-19_final.stac-item
2023-01-19 11:15:40	ga_s2bm_ard_3-2-1_51JXH_2023-01-19_final.stac-item
2023-01-19 11:15:45	ga_s2bm_ard_3-2-1_52JCM_2023-01-19_final.stac-item
2023-01-19 11:15:48	ga_s2bm_ard_3-2-1_52JBM_2023-01-19_final.stac-item
2023-01-19 11:16:03	ga_s2bm_ard_3-2-1_52JBL_2023-01-19_final.stac-item
2023-01-19 11:16:05	ga_s2bm_ard_3-2-1_51JYF_2023-01-19_final.stac-item
2023-01-19 11:16:34	ga_s2bm_ard_3-2-1_51HYD_2023-01-19_final.stac-item
2023-01-20 10:44:46	ga_s2bm_ard_3-2-1_53JKL_2023-01-20_final.stac-item
2023-01-20 10:45:23	ga_s2bm_ard_3-2-1_53JLH_2023-01-20_final.stac-item
2023-01-20 10:45:40	ga_s2bm_ard_3-2-1_53JNF_2023-01-20_final.stac-item
2023-01-20 10:45:41	ga_s2bm_ard_3-2-1_53JKG_2023-01-20_final.stac-item
2023-01-20 10:46:18	ga_s2bm_ard_3-2-1_53HMD_2023-01-20_final.stac-item
2023-02-03 12:00:34	ga_s2bm_ard_3-2-1_50LPP_2023-02-03_nrt.stac-item
2023-02-03 12:00:41	ga_s2bm_ard_3-2-1_50LMP_2023-02-03_nrt.stac-item
2023-02-03 12:00:48	ga_s2bm_ard_3-2-1_50LPN_2023-02-03_nrt.stac-item
2023-02-03 12:00:51	ga_s2bm_ard_3-2-1_50LNN_2023-02-03_nrt.stac-item
2023-02-03 12:00:54	ga_s2bm_ard_3-2-1_50LMN_2023-02-03_nrt.stac-item
2023-02-03 12:01:03	ga_s2bm_ard_3-2-1_50LPM_2023-02-03_nrt.stac-item
2023-02-03 12:01:06	ga_s2bm_ard_3-2-1_50LNM_2023-02-03_nrt.stac-item
2023-02-03 12:01:09	ga_s2bm_ard_3-2-1_50LMM_2023-02-03_nrt.stac-item
2023-02-03 12:01:17	ga_s2bm_ard_3-2-1_50LPL_2023-02-03_nrt.stac-item
2023-02-03 12:01:24	ga_s2bm_ard_3-2-1_50LML_2023-02-03_nrt.stac-item
2023-02-03 12:01:31	ga_s2bm_ard_3-2-1_50LPK_2023-02-03_nrt.stac-item
2023-02-03 12:01:33	ga_s2bm_ard_3-2-1_50LNK_2023-02-03_nrt.stac-item
2023-02-03 12:02:53	ga_s2bm_ard_3-2-1_50KNE_2023-02-03_nrt.stac-item
2023-02-03 12:02:55	ga_s2bm_ard_3-2-1_50KME_2023-02-03_nrt.stac-item
2023-02-03 12:02:56	ga_s2bm_ard_3-2-1_50KLE_2023-02-03_nrt.stac-item
2023-02-03 12:02:59	ga_s2bm_ard_3-2-1_50KKE_2023-02-03_nrt.stac-item
2023-02-03 12:03:02	ga_s2bm_ard_3-2-1_50KND_2023-02-03_nrt.stac-item
2023-02-03 12:03:09	ga_s2bm_ard_3-2-1_50KLD_2023-02-03_nrt.stac-item
2023-02-03 12:03:14	ga_s2bm_ard_3-2-1_49KHU_2023-02-03_nrt.stac-item
2023-02-03 12:03:26	ga_s2bm_ard_3-2-1_50KKC_2023-02-03_nrt.stac-item
2023-02-03 12:05:16	ga_s2bm_ard_3-2-1_49JFL_2023-02-03_nrt.stac-item
2023-02-03 12:05:29	ga_s2bm_ard_3-2-1_49JFK_2023-02-03_nrt.stac-item
2023-02-03 12:05:59	ga_s2bm_ard_3-2-1_49JFH_2023-02-03_nrt.stac-item
2023-02-03 12:06:09	ga_s2bm_ard_3-2-1_49JGG_2023-02-03_nrt.stac-item
2023-02-03 12:06:13	ga_s2bm_ard_3-2-1_49JFG_2023-02-03_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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