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
2022-12-26 11:35:44	ga_s2bm_ard_3-2-1_51JUH_2022-12-26_final.stac-item
2022-12-26 11:35:55	ga_s2bm_ard_3-2-1_51JVG_2022-12-26_final.stac-item
2022-12-26 11:35:59	ga_s2bm_ard_3-2-1_51JUG_2022-12-26_final.stac-item
2022-12-26 11:36:02	ga_s2bm_ard_3-2-1_51JTG_2022-12-26_final.stac-item
2022-12-26 11:36:04	ga_s2bm_ard_3-2-1_50JQM_2022-12-26_final.stac-item
2022-12-26 11:36:13	ga_s2bm_ard_3-2-1_51JUF_2022-12-26_final.stac-item
2022-12-26 11:36:19	ga_s2bm_ard_3-2-1_50JQL_2022-12-26_final.stac-item
2022-12-26 11:36:26	ga_s2bm_ard_3-2-1_50JPL_2022-12-26_final.stac-item
2022-12-26 11:36:31	ga_s2bm_ard_3-2-1_51HTE_2022-12-26_final.stac-item
2022-12-26 11:36:33	ga_s2bm_ard_3-2-1_51HVD_2022-12-26_final.stac-item
2022-12-26 11:36:33	ga_s2bm_ard_3-2-1_50HQK_2022-12-26_final.stac-item
2022-12-26 11:36:42	ga_s2bm_ard_3-2-1_51HUD_2022-12-26_final.stac-item
2022-12-26 11:36:51	ga_s2bm_ard_3-2-1_50HPJ_2022-12-26_final.stac-item
2022-12-26 11:37:00	ga_s2bm_ard_3-2-1_51HTC_2022-12-26_final.stac-item
2022-12-26 11:37:02	ga_s2bm_ard_3-2-1_50HQH_2022-12-26_final.stac-item
2022-12-26 11:37:20	ga_s2bm_ard_3-2-1_50HPG_2022-12-26_final.stac-item
2022-12-26 11:37:25	ga_s2bm_ard_3-2-1_51HUA_2022-12-26_nrt.stac-item
2022-12-26 11:37:26	ga_s2bm_ard_3-2-1_50HNG_2022-12-26_final.stac-item
2022-12-26 11:37:28	ga_s2bm_ard_3-2-1_51HTA_2022-12-26_nrt.stac-item
2022-12-26 11:37:28	ga_s2bm_ard_3-2-1_50HQF_2022-12-26_nrt.stac-item
2022-12-26 11:37:30	ga_s2bm_ard_3-2-1_50HPF_2022-12-26_nrt.stac-item
2022-12-26 11:37:32	ga_s2bm_ard_3-2-1_50HNF_2022-12-26_nrt.stac-item
2022-12-26 11:37:33	ga_s2bm_ard_3-2-1_51HUV_2022-12-26_nrt.stac-item
2022-12-27 09:22:52	ga_s2bm_ard_3-2-1_56KPA_2022-12-26_nrt.stac-item
2022-12-27 09:23:07	ga_s2bm_ard_3-2-1_56KPV_2022-12-26_nrt.stac-item
2022-12-27 09:24:05	ga_s2bm_ard_3-2-1_56JPR_2022-12-26_nrt.stac-item
2022-12-27 09:24:08	ga_s2bm_ard_3-2-1_56JNR_2022-12-26_final.stac-item
2022-12-27 09:24:23	ga_s2bm_ard_3-2-1_56JNQ_2022-12-26_final.stac-item
2022-12-27 09:24:34	ga_s2bm_ard_3-2-1_56JPP_2022-12-26_nrt.stac-item
2022-12-27 09:24:37	ga_s2bm_ard_3-2-1_56JNP_2022-12-26_final.stac-item
2022-12-27 09:24:48	ga_s2bm_ard_3-2-1_56JPN_2022-12-26_nrt.stac-item
2022-12-27 09:24:55	ga_s2bm_ard_3-2-1_56JMN_2022-12-26_final.stac-item
2022-12-27 09:25:03	ga_s2bm_ard_3-2-1_56JPM_2022-12-26_nrt.stac-item
2022-12-27 09:25:06	ga_s2bm_ard_3-2-1_56JNM_2022-12-26_final.stac-item
2022-12-27 09:25:10	ga_s2bm_ard_3-2-1_56JMM_2022-12-26_final.stac-item
2022-12-27 09:25:21	ga_s2bm_ard_3-2-1_56JNL_2022-12-26_final.stac-item
2022-12-27 09:25:24	ga_s2bm_ard_3-2-1_56JML_2022-12-26_final.stac-item
2022-12-27 09:25:29	ga_s2bm_ard_3-2-1_56JLL_2022-12-26_final.stac-item
2022-12-27 09:25:35	ga_s2bm_ard_3-2-1_56HNK_2022-12-26_nrt.stac-item
2022-12-27 09:25:39	ga_s2bm_ard_3-2-1_56HMK_2022-12-26_final.stac-item
2022-12-27 09:25:50	ga_s2bm_ard_3-2-1_56HNJ_2022-12-26_nrt.stac-item
2022-12-27 09:25:53	ga_s2bm_ard_3-2-1_56HMJ_2022-12-26_final.stac-item
2022-12-27 09:25:57	ga_s2bm_ard_3-2-1_56HLJ_2022-12-26_final.stac-item
2022-12-27 09:26:11	ga_s2bm_ard_3-2-1_56HPG_2022-12-26_nrt.stac-item
2022-12-27 09:26:19	ga_s2bm_ard_3-2-1_56HNG_2022-12-26_nrt.stac-item
2022-12-27 09:26:22	ga_s2bm_ard_3-2-1_56HMG_2022-12-26_nrt.stac-item
2022-12-27 09:26:26	ga_s2bm_ard_3-2-1_56HLG_2022-12-26_final.stac-item
2022-12-27 09:26:31	ga_s2bm_ard_3-2-1_56HKG_2022-12-26_final.stac-item
2022-12-27 09:26:33	ga_s2bm_ard_3-2-1_56HNF_2022-12-26_nrt.stac-item
2022-12-27 09:26:37	ga_s2bm_ard_3-2-1_56HMF_2022-12-26_nrt.stac-item
2022-12-27 09:26:40	ga_s2bm_ard_3-2-1_56HLF_2022-12-26_nrt.stac-item
2022-12-27 09:26:44	ga_s2bm_ard_3-2-1_56HKF_2022-12-26_final.stac-item
2022-12-27 09:26:48	ga_s2bm_ard_3-2-1_56HNE_2022-12-26_nrt.stac-item
2022-12-27 09:26:52	ga_s2bm_ard_3-2-1_56HME_2022-12-26_nrt.stac-item
2022-12-27 09:26:55	ga_s2bm_ard_3-2-1_56HLE_2022-12-26_nrt.stac-item
2022-12-27 09:27:14	ga_s2bm_ard_3-2-1_56HNC_2022-12-26_nrt.stac-item
2022-12-27 09:27:20	ga_s2bm_ard_3-2-1_56HMC_2022-12-26_nrt.stac-item
2022-12-27 09:27:24	ga_s2bm_ard_3-2-1_56HLC_2022-12-26_nrt.stac-item
2022-12-27 09:27:27	ga_s2bm_ard_3-2-1_56HKC_2022-12-26_nrt.stac-item
2022-12-27 09:27:35	ga_s2bm_ard_3-2-1_56HMB_2022-12-26_nrt.stac-item
2022-12-27 09:27:39	ga_s2bm_ard_3-2-1_56HLB_2022-12-26_nrt.stac-item
2022-12-27 09:27:42	ga_s2bm_ard_3-2-1_56HKB_2022-12-26_nrt.stac-item
2022-12-27 09:27:42	ga_s2bm_ard_3-2-1_55HGS_2022-12-26_nrt.stac-item
2022-12-27 09:27:48	ga_s2bm_ard_3-2-1_55HFS_2022-12-26_final.stac-item
2022-12-27 09:27:50	ga_s2bm_ard_3-2-1_56GMA_2022-12-26_nrt.stac-item
2022-12-27 09:27:53	ga_s2bm_ard_3-2-1_56GLA_2022-12-26_nrt.stac-item
2022-12-27 09:27:57	ga_s2bm_ard_3-2-1_55GGR_2022-12-26_nrt.stac-item
2022-12-27 09:28:01	ga_s2bm_ard_3-2-1_55GFR_2022-12-26_final.stac-item
2022-12-27 11:00:25	ga_s2bm_ard_3-2-1_53LLH_2022-12-27_final.stac-item
2022-12-27 11:00:36	ga_s2bm_ard_3-2-1_52LGN_2022-12-27_final.stac-item
2022-12-27 11:02:24	ga_s2bm_ard_3-2-1_53KKV_2022-12-27_final.stac-item
2022-12-27 11:02:29	ga_s2bm_ard_3-2-1_52KGE_2022-12-27_final.stac-item
2022-12-27 11:03:01	ga_s2bm_ard_3-2-1_52KFC_2022-12-27_final.stac-item
2022-12-27 11:03:04	ga_s2bm_ard_3-2-1_52KEC_2022-12-27_final.stac-item
2022-12-27 11:03:26	ga_s2bm_ard_3-2-1_52KFA_2022-12-27_final.stac-item
2022-12-27 11:03:28	ga_s2bm_ard_3-2-1_52KHA_2022-12-27_final.stac-item
2022-12-27 11:03:33	ga_s2bm_ard_3-2-1_52KFA_2022-12-27_final.stac-item
2022-12-27 11:04:35	ga_s2bm_ard_3-2-1_52JGR_2022-12-27_final.stac-item
2022-12-27 11:04:42	ga_s2bm_ard_3-2-1_52JFR_2022-12-27_final.stac-item
2022-12-27 11:04:46	ga_s2bm_ard_3-2-1_52JER_2022-12-27_final.stac-item
2022-12-27 11:04:50	ga_s2bm_ard_3-2-1_52JDR_2022-12-27_final.stac-item
2022-12-27 11:04:55	ga_s2bm_ard_3-2-1_52JCR_2022-12-27_final.stac-item
2022-12-27 11:05:12	ga_s2bm_ard_3-2-1_52JFP_2022-12-27_final.stac-item
2022-12-27 11:05:15	ga_s2bm_ard_3-2-1_52JEP_2022-12-27_final.stac-item
2022-12-27 11:05:19	ga_s2bm_ard_3-2-1_52JDP_2022-12-27_final.stac-item
2022-12-27 11:05:22	ga_s2bm_ard_3-2-1_52JCP_2022-12-27_final.stac-item
2022-12-27 11:05:26	ga_s2bm_ard_3-2-1_52JFN_2022-12-27_final.stac-item
2022-12-27 11:05:30	ga_s2bm_ard_3-2-1_52JEN_2022-12-27_final.stac-item
2022-12-27 11:05:33	ga_s2bm_ard_3-2-1_52JDN_2022-12-27_final.stac-item
2022-12-27 11:05:37	ga_s2bm_ard_3-2-1_52JCN_2022-12-27_final.stac-item
2022-12-27 11:05:38	ga_s2bm_ard_3-2-1_52JFM_2022-12-27_final.stac-item
2022-12-27 11:05:44	ga_s2bm_ard_3-2-1_52JEM_2022-12-27_final.stac-item
2022-12-27 11:05:48	ga_s2bm_ard_3-2-1_52JDM_2022-12-27_final.stac-item
2022-12-27 11:05:51	ga_s2bm_ard_3-2-1_52JCM_2022-12-27_final.stac-item
2022-12-27 11:05:57	ga_s2bm_ard_3-2-1_52JBM_2022-12-27_final.stac-item
2022-12-27 11:06:09	ga_s2bm_ard_3-2-1_52JBL_2022-12-27_final.stac-item
2022-12-27 11:06:13	ga_s2bm_ard_3-2-1_52HEK_2022-12-27_nrt.stac-item
2022-12-27 11:06:23	ga_s2bm_ard_3-2-1_52HBK_2022-12-27_final.stac-item
2022-12-27 11:06:28	ga_s2bm_ard_3-2-1_52HEJ_2022-12-27_nrt.stac-item
2022-12-27 11:06:30	ga_s2bm_ard_3-2-1_52HDJ_2022-12-27_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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