Search ga_s2am_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
2023-07-12 11:46:10	ga_s2am_ard_3-2-1_50JPM_2023-07-12_final.stac-item
2023-07-15 10:11:24	ga_s2am_ard_3-2-1_55LCC_2023-07-15_final.stac-item
2023-07-15 10:14:18	ga_s2am_ard_3-2-1_54JWS_2023-07-15_final.stac-item
2023-07-15 11:52:42	ga_s2am_ard_3-2-1_50KPF_2023-07-15_final.stac-item
2023-07-15 11:54:38	ga_s2am_ard_3-2-1_50JPT_2023-07-15_final.stac-item
2023-07-15 11:55:47	ga_s2am_ard_3-2-1_50JLP_2023-07-15_final.stac-item
2023-07-15 11:56:27	ga_s2am_ard_3-2-1_50JML_2023-07-15_final.stac-item
2023-07-15 11:56:41	ga_s2am_ard_3-2-1_50HMK_2023-07-15_final.stac-item
2023-07-15 11:57:14	ga_s2am_ard_3-2-1_50HLH_2023-07-15_final.stac-item
2023-07-16 09:41:37	ga_s2am_ard_3-2-1_55KHB_2023-07-16_final.stac-item
2023-07-16 09:42:44	ga_s2am_ard_3-2-1_56KLB_2023-07-16_final.stac-item
2023-07-16 09:42:59	ga_s2am_ard_3-2-1_56KLA_2023-07-16_final.stac-item
2023-07-16 09:47:09	ga_s2am_ard_3-2-1_55HDV_2023-07-16_final.stac-item
2023-07-16 09:47:41	ga_s2am_ard_3-2-1_55HCT_2023-07-16_final.stac-item
2023-07-16 09:49:04	ga_s2am_ard_3-2-1_55GCM_2023-07-16_final.stac-item
2023-07-16 11:21:58	ga_s2am_ard_3-2-1_52LBH_2023-07-16_final.stac-item
2023-07-16 11:23:01	ga_s2am_ard_3-2-1_51KYU_2023-07-16_final.stac-item
2023-07-16 11:24:09	ga_s2am_ard_3-2-1_51KZP_2023-07-16_final.stac-item
2023-07-16 11:26:23	ga_s2am_ard_3-2-1_51JUF_2023-07-16_final.stac-item
2023-07-17 10:53:18	ga_s2am_ard_3-2-1_53KKS_2023-07-17_final.stac-item
2023-07-17 10:55:44	ga_s2am_ard_3-2-1_53JKG_2023-07-17_final.stac-item
2023-07-18 10:20:50	ga_s2am_ard_3-2-1_54LWL_2023-07-18_final.stac-item
2023-07-18 10:23:51	ga_s2am_ard_3-2-1_54KUU_2023-07-18_final.stac-item
2023-07-18 10:24:06	ga_s2am_ard_3-2-1_54JUT_2023-07-18_final.stac-item
2023-07-18 10:25:01	ga_s2am_ard_3-2-1_54JVP_2023-07-18_final.stac-item
2023-07-18 10:25:33	ga_s2am_ard_3-2-1_54JUM_2023-07-18_final.stac-item
2023-07-18 10:25:36	ga_s2am_ard_3-2-1_54JTM_2023-07-18_final.stac-item
2023-07-18 10:26:20	ga_s2am_ard_3-2-1_54HTJ_2023-07-18_final.stac-item
2023-07-18 10:26:37	ga_s2am_ard_3-2-1_53HQC_2023-07-18_final.stac-item
2023-07-18 10:27:19	ga_s2am_ard_3-2-1_53HPV_2023-07-18_final.stac-item
2023-07-18 12:03:28	ga_s2am_ard_3-2-1_50KMC_2023-07-18_final.stac-item
2023-07-18 12:03:31	ga_s2am_ard_3-2-1_50KLC_2023-07-18_final.stac-item
2023-07-18 12:05:05	ga_s2am_ard_3-2-1_49JGM_2023-07-18_final.stac-item
2023-07-19 09:54:17	ga_s2am_ard_3-2-1_55JFL_2023-07-19_final.stac-item
2023-07-19 09:56:29	ga_s2am_ard_3-2-1_54HYH_2023-07-19_final.stac-item
2023-07-19 09:57:11	ga_s2am_ard_3-2-1_55HBV_2023-07-19_final.stac-item
2023-07-20 09:23:44	ga_s2am_ard_3-2-1_56JNT_2023-07-19_final.stac-item
2023-07-20 09:26:48	ga_s2am_ard_3-2-1_56HKF_2023-07-19_final.stac-item
2023-07-20 11:01:02	ga_s2am_ard_3-2-1_53LLF_2023-07-20_final.stac-item
2023-07-20 11:02:48	ga_s2am_ard_3-2-1_52KGD_2023-07-20_final.stac-item
2023-07-20 11:03:12	ga_s2am_ard_3-2-1_53KKS_2023-07-20_final.stac-item
2023-07-20 11:04:39	ga_s2am_ard_3-2-1_52JGR_2023-07-20_final.stac-item
2023-07-21 10:29:47	ga_s2am_ard_3-2-1_54LWQ_2023-07-21_final.stac-item
2023-07-21 10:30:01	ga_s2am_ard_3-2-1_54LWP_2023-07-21_final.stac-item
2023-07-21 10:32:48	ga_s2am_ard_3-2-1_54KUC_2023-07-21_final.stac-item
2023-07-21 10:33:16	ga_s2am_ard_3-2-1_53KPS_2023-07-21_final.stac-item
2023-07-21 12:13:58	ga_s2am_ard_3-2-1_49KHR_2023-07-21_final.stac-item
2023-07-21 12:15:23	ga_s2am_ard_3-2-1_49JGK_2023-07-21_final.stac-item
2023-07-22 10:01:28	ga_s2am_ard_3-2-1_55LCC_2023-07-22_final.stac-item
2023-07-22 10:02:26	ga_s2am_ard_3-2-1_55KCU_2023-07-22_final.stac-item
2023-07-22 11:41:01	ga_s2am_ard_3-2-1_51LWG_2023-07-22_final.stac-item
2023-07-22 11:43:04	ga_s2am_ard_3-2-1_51KUU_2023-07-22_final.stac-item
2023-07-22 11:46:23	ga_s2am_ard_3-2-1_50JPL_2023-07-22_final.stac-item
2023-07-22 11:46:38	ga_s2am_ard_3-2-1_50HPK_2023-07-22_final.stac-item
2023-07-23 09:33:03	ga_s2am_ard_3-2-1_56KLA_2023-07-23_final.stac-item
2023-07-23 09:34:30	ga_s2am_ard_3-2-1_56JLQ_2023-07-23_final.stac-item
2023-07-23 09:35:49	ga_s2am_ard_3-2-1_55HGE_2023-07-23_final.stac-item
2023-07-23 09:36:45	ga_s2am_ard_3-2-1_56HKF_2023-07-23_final.stac-item
2023-07-23 09:37:05	ga_s2am_ard_3-2-1_55HFV_2023-07-23_final.stac-item
2023-07-23 11:12:51	ga_s2am_ard_3-2-1_52KED_2023-07-23_final.stac-item
2023-07-23 11:15:08	ga_s2am_ard_3-2-1_52JCQ_2023-07-23_final.stac-item
2023-08-04 10:10:23	ga_s2am_ard_3-2-1_55LDG_2023-08-04_nrt.stac-item
2023-08-04 10:17:38	ga_s2am_ard_3-2-1_53HQU_2023-08-04_nrt.stac-item
2023-08-04 11:51:12	ga_s2am_ard_3-2-1_50LQM_2023-08-04_nrt.stac-item
2023-08-04 11:51:27	ga_s2am_ard_3-2-1_50LQL_2023-08-04_nrt.stac-item
2023-08-04 11:51:31	ga_s2am_ard_3-2-1_50LPL_2023-08-04_nrt.stac-item
2023-08-04 11:51:56	ga_s2am_ard_3-2-1_50LQJ_2023-08-04_nrt.stac-item
2023-08-04 11:51:59	ga_s2am_ard_3-2-1_50LPJ_2023-08-04_nrt.stac-item
2023-08-04 11:52:14	ga_s2am_ard_3-2-1_50LPH_2023-08-04_nrt.stac-item
2023-08-04 11:52:21	ga_s2am_ard_3-2-1_50KRG_2023-08-04_nrt.stac-item
2023-08-04 11:52:28	ga_s2am_ard_3-2-1_50KPG_2023-08-04_nrt.stac-item
2023-08-04 11:52:34	ga_s2am_ard_3-2-1_50KNG_2023-08-04_nrt.stac-item
2023-08-04 11:52:34	ga_s2am_ard_3-2-1_51KTA_2023-08-04_nrt.stac-item
2023-08-04 11:52:35	ga_s2am_ard_3-2-1_50KRF_2023-08-04_nrt.stac-item
2023-08-04 11:52:46	ga_s2am_ard_3-2-1_50KNF_2023-08-04_nrt.stac-item
2023-08-04 11:52:50	ga_s2am_ard_3-2-1_50KRE_2023-08-04_nrt.stac-item
2023-08-04 11:52:57	ga_s2am_ard_3-2-1_50KPE_2023-08-04_nrt.stac-item
2023-08-04 11:56:38	ga_s2am_ard_3-2-1_49JGF_2023-08-04_nrt.stac-item
2023-08-04 11:56:48	ga_s2am_ard_3-2-1_50HKK_2023-08-04_nrt.stac-item
2023-08-04 11:56:50	ga_s2am_ard_3-2-1_49HGE_2023-08-04_nrt.stac-item
2023-08-04 11:57:03	ga_s2am_ard_3-2-1_50HKJ_2023-08-04_nrt.stac-item
2023-08-04 11:57:18	ga_s2am_ard_3-2-1_50HKH_2023-08-04_nrt.stac-item
2023-08-04 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-08-04_nrt.stac-item
2023-08-04 11:57:27	ga_s2am_ard_3-2-1_49HFC_2023-08-04_nrt.stac-item
2023-08-04 11:57:30	ga_s2am_ard_3-2-1_49HGB_2023-08-04_nrt.stac-item
2023-08-04 11:57:32	ga_s2am_ard_3-2-1_49HFB_2023-08-04_nrt.stac-item
2023-08-04 11:57:32	ga_s2am_ard_3-2-1_50HMF_2023-08-04_nrt.stac-item
2023-08-05 09:39:40	ga_s2am_ard_3-2-1_56LPP_2023-08-05_nrt.stac-item
2023-08-05 09:39:54	ga_s2am_ard_3-2-1_56LPN_2023-08-05_nrt.stac-item
2023-08-05 09:40:08	ga_s2am_ard_3-2-1_56LPM_2023-08-05_nrt.stac-item
2023-08-05 09:41:26	ga_s2am_ard_3-2-1_56KNG_2023-08-05_nrt.stac-item
2023-08-05 09:41:51	ga_s2am_ard_3-2-1_56KNE_2023-08-05_nrt.stac-item
2023-08-05 09:42:05	ga_s2am_ard_3-2-1_55KHV_2023-08-05_nrt.stac-item
2023-08-05 09:42:19	ga_s2am_ard_3-2-1_56KKD_2023-08-05_nrt.stac-item
2023-08-05 09:42:27	ga_s2am_ard_3-2-1_56KMC_2023-08-05_nrt.stac-item
2023-08-05 09:42:33	ga_s2am_ard_3-2-1_56KKC_2023-08-05_nrt.stac-item
2023-08-05 09:48:43	ga_s2am_ard_3-2-1_54GYU_2023-08-05_nrt.stac-item
2023-08-05 09:48:43	ga_s2am_ard_3-2-1_55GBP_2023-08-05_nrt.stac-item
2023-08-05 09:48:57	ga_s2am_ard_3-2-1_54GYT_2023-08-05_nrt.stac-item
2023-08-05 09:49:05	ga_s2am_ard_3-2-1_54GYS_2023-08-05_nrt.stac-item

Return to ga_s2am_ard_3 whole collection overview

ga_s2am_ard_3: Geoscience Australia Sentinel 2A MSI Analysis Ready Data Collection 3

Baseline satellite data

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

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