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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_49KHS_2015-10-08_final.stac-item
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_49KHS_2015-10-28_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHS_2015-12-17_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HLG_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HNG_2015-12-21_final.stac-item
2015-12-21 11:47:51	ga_s2am_ard_3-2-1_50HMG_2015-12-21_final.stac-item
2015-12-25 11:27:34	ga_s2am_ard_3-2-1_51HWC_2015-12-25_final.stac-item
2015-12-30 12:16:05	ga_s2am_ard_3-2-1_49KHS_2015-12-30_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHS_2016-01-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHS_2016-03-16_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50HQG_2016-04-06_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HLG_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HNG_2016-04-19_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMG_2016-04-19_final.stac-item
2016-05-02 10:16:17	ga_s2am_ard_3-2-1_54HVC_2016-05-02_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HWC_2016-05-03_final.stac-item
2016-05-11 10:45:26	ga_s2am_ard_3-2-1_52HGK_2016-05-11_final.stac-item
2016-06-19 11:08:59	ga_s2am_ard_3-2-1_52HCK_2016-06-19_final.stac-item
2016-06-20 10:45:18	ga_s2am_ard_3-2-1_52HGK_2016-06-20_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHS_2016-06-24_final.stac-item
2016-06-26 11:01:01	ga_s2am_ard_3-2-1_52HCK_2016-06-26_final.stac-item
2016-07-03 10:55:16	ga_s2am_ard_3-2-1_52HGK_2016-07-03_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMG_2016-07-08_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50HLG_2016-07-21_final.stac-item
2016-07-30 10:45:24	ga_s2am_ard_3-2-1_52HGK_2016-07-30_final.stac-item
2016-08-03 12:02:53	ga_s2am_ard_3-2-1_49KHS_2016-08-03_final.stac-item
2016-09-15 12:13:17	ga_s2am_ard_3-2-1_49KHS_2016-09-15_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50HNG_2016-09-26_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HLG_2016-10-16_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLG_2016-10-26_final.stac-item
2016-11-03 11:05:10	ga_s2am_ard_3-2-1_52HCK_2016-11-03_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_50HQG_2016-12-12_final.stac-item
2023-08-18 11:31:45	ga_s2am_ard_3-2-1_51LYD_2023-08-18_final.stac-item
2023-08-18 11:32:06	ga_s2am_ard_3-2-1_51LWC_2023-08-18_final.stac-item
2023-08-18 11:32:20	ga_s2am_ard_3-2-1_51KWB_2023-08-18_final.stac-item
2023-08-18 11:32:32	ga_s2am_ard_3-2-1_51KXA_2023-08-18_final.stac-item
2023-08-18 11:32:35	ga_s2am_ard_3-2-1_51KWA_2023-08-18_final.stac-item
2023-08-18 11:32:43	ga_s2am_ard_3-2-1_51KYV_2023-08-18_final.stac-item
2023-08-18 11:32:50	ga_s2am_ard_3-2-1_51KWV_2023-08-18_final.stac-item
2023-08-18 11:33:07	ga_s2am_ard_3-2-1_51KVU_2023-08-18_final.stac-item
2023-08-18 11:33:51	ga_s2am_ard_3-2-1_51KVR_2023-08-18_final.stac-item
2023-08-18 11:34:21	ga_s2am_ard_3-2-1_51JXN_2023-08-18_final.stac-item
2023-08-18 11:34:31	ga_s2am_ard_3-2-1_51JWN_2023-08-18_final.stac-item
2023-08-18 11:34:38	ga_s2am_ard_3-2-1_51JUN_2023-08-18_final.stac-item
2023-08-18 11:35:30	ga_s2am_ard_3-2-1_51JWJ_2023-08-18_final.stac-item
2023-08-18 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2023-08-18_final.stac-item
2023-08-18 11:35:56	ga_s2am_ard_3-2-1_50JQN_2023-08-18_final.stac-item
2023-08-18 11:36:08	ga_s2am_ard_3-2-1_51JTG_2023-08-18_final.stac-item
2023-08-18 11:36:20	ga_s2am_ard_3-2-1_51JUF_2023-08-18_final.stac-item
2023-08-18 11:36:23	ga_s2am_ard_3-2-1_51JTF_2023-08-18_final.stac-item
2023-08-18 11:36:34	ga_s2am_ard_3-2-1_51HUE_2023-08-18_final.stac-item
2023-08-18 11:37:03	ga_s2am_ard_3-2-1_51HUC_2023-08-18_final.stac-item
2023-08-18 11:37:07	ga_s2am_ard_3-2-1_51HTC_2023-08-18_final.stac-item
2023-08-18 11:37:23	ga_s2am_ard_3-2-1_50HQG_2023-08-18_final.stac-item
2023-08-19 11:00:35	ga_s2am_ard_3-2-1_53LKH_2023-08-19_final.stac-item
2023-08-19 11:00:40	ga_s2am_ard_3-2-1_53LMG_2023-08-19_final.stac-item
2023-08-19 11:00:42	ga_s2am_ard_3-2-1_53LLG_2023-08-19_final.stac-item
2023-08-19 11:00:43	ga_s2am_ard_3-2-1_53LKH_2023-08-19_final.stac-item
2023-08-19 11:00:43	ga_s2am_ard_3-2-1_53LKG_2023-08-19_final.stac-item
2023-08-19 11:00:46	ga_s2am_ard_3-2-1_53LMG_2023-08-19_final.stac-item
2023-08-19 11:00:48	ga_s2am_ard_3-2-1_53LLG_2023-08-19_final.stac-item
2023-08-19 11:00:50	ga_s2am_ard_3-2-1_53LKG_2023-08-19_final.stac-item
2023-08-19 11:01:00	ga_s2am_ard_3-2-1_53LLF_2023-08-19_final.stac-item
2023-08-19 11:01:04	ga_s2am_ard_3-2-1_53LKF_2023-08-19_final.stac-item
2023-08-19 11:01:05	ga_s2am_ard_3-2-1_52LHL_2023-08-19_final.stac-item
2023-08-19 11:01:20	ga_s2am_ard_3-2-1_52LHK_2023-08-19_final.stac-item
2023-08-19 11:01:23	ga_s2am_ard_3-2-1_52LGK_2023-08-19_final.stac-item
2023-08-19 11:01:34	ga_s2am_ard_3-2-1_52LHJ_2023-08-19_final.stac-item
2023-08-19 11:01:38	ga_s2am_ard_3-2-1_52LGJ_2023-08-19_final.stac-item
2023-08-19 11:01:45	ga_s2am_ard_3-2-1_52LFJ_2023-08-19_final.stac-item
2023-08-19 11:01:56	ga_s2am_ard_3-2-1_52LFH_2023-08-19_final.stac-item
2023-08-19 11:02:21	ga_s2am_ard_3-2-1_52KGF_2023-08-19_final.stac-item
2023-08-19 11:02:24	ga_s2am_ard_3-2-1_52KFF_2023-08-19_final.stac-item
2023-08-19 11:02:31	ga_s2am_ard_3-2-1_53KKV_2023-08-19_final.stac-item
2023-08-19 11:02:32	ga_s2am_ard_3-2-1_52KHE_2023-08-19_final.stac-item
2023-08-19 11:02:36	ga_s2am_ard_3-2-1_52KGE_2023-08-19_final.stac-item
2023-08-19 11:02:39	ga_s2am_ard_3-2-1_52KFE_2023-08-19_final.stac-item
2023-08-19 11:02:46	ga_s2am_ard_3-2-1_53KKU_2023-08-19_final.stac-item
2023-08-19 11:02:46	ga_s2am_ard_3-2-1_52KHD_2023-08-19_final.stac-item
2023-08-19 11:03:08	ga_s2am_ard_3-2-1_52KFC_2023-08-19_final.stac-item
2023-08-19 11:03:15	ga_s2am_ard_3-2-1_52KHB_2023-08-19_final.stac-item
2023-08-19 11:03:25	ga_s2am_ard_3-2-1_53KKR_2023-08-19_final.stac-item
2023-08-19 11:03:59	ga_s2am_ard_3-2-1_52KDV_2023-08-19_final.stac-item
2023-08-19 11:05:11	ga_s2am_ard_3-2-1_52JDQ_2023-08-19_final.stac-item
2023-08-19 11:05:14	ga_s2am_ard_3-2-1_52JCQ_2023-08-19_final.stac-item
2023-08-19 11:05:18	ga_s2am_ard_3-2-1_52JFP_2023-08-19_final.stac-item
2023-08-19 11:05:25	ga_s2am_ard_3-2-1_52JDP_2023-08-19_final.stac-item
2023-08-19 11:05:28	ga_s2am_ard_3-2-1_52JCP_2023-08-19_final.stac-item
2023-08-19 11:05:32	ga_s2am_ard_3-2-1_52JFN_2023-08-19_final.stac-item
2023-08-19 11:05:51	ga_s2am_ard_3-2-1_52JEM_2023-08-19_final.stac-item
2023-08-19 11:06:25	ga_s2am_ard_3-2-1_52HCK_2023-08-19_final.stac-item
2023-08-19 11:06:32	ga_s2am_ard_3-2-1_52HCK_2023-08-19_final.stac-item
2023-08-28 11:30:27	ga_s2am_ard_3-2-1_52LBP_2023-08-28_nrt.stac-item
2023-08-28 11:30:41	ga_s2am_ard_3-2-1_52LBN_2023-08-28_nrt.stac-item
2023-08-28 11:31:01	ga_s2am_ard_3-2-1_51LYG_2023-08-28_nrt.stac-item
2023-08-28 11:37:34	ga_s2am_ard_3-2-1_51HTA_2023-08-28_nrt.stac-item
2023-08-28 11:37:34	ga_s2am_ard_3-2-1_50HQF_2023-08-28_nrt.stac-item
2023-08-28 11:37:36	ga_s2am_ard_3-2-1_50HPF_2023-08-28_nrt.stac-item
2023-08-29 11:06:30	ga_s2am_ard_3-2-1_52HDJ_2023-08-29_nrt.stac-item
2023-08-29 11:06:37	ga_s2am_ard_3-2-1_52HDJ_2023-08-29_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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