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
2023-12-20 09:36:07	ga_s2am_ard_3-2-1_56HKH_2023-12-20_final.stac-item
2023-12-21 10:45:36	ga_s2am_ard_3-2-1_53JLG_2023-12-21_final.stac-item
2023-12-21 10:46:11	ga_s2am_ard_3-2-1_52HGK_2023-12-21_final.stac-item
2023-12-22 10:10:46	ga_s2am_ard_3-2-1_55LCE_2023-12-22_final.stac-item
2023-12-22 10:10:56	ga_s2am_ard_3-2-1_54LYK_2023-12-22_final.stac-item
2023-12-22 10:12:10	ga_s2am_ard_3-2-1_54KXE_2023-12-22_final.stac-item
2023-12-22 10:13:01	ga_s2am_ard_3-2-1_54KZA_2023-12-22_final.stac-item
2023-12-22 10:13:15	ga_s2am_ard_3-2-1_55KBQ_2023-12-22_final.stac-item
2023-12-22 10:13:19	ga_s2am_ard_3-2-1_54KYV_2023-12-22_final.stac-item
2023-12-22 10:14:35	ga_s2am_ard_3-2-1_54JXQ_2023-12-22_final.stac-item
2023-12-22 10:16:45	ga_s2am_ard_3-2-1_54HTG_2023-12-22_final.stac-item
2023-12-22 10:16:48	ga_s2am_ard_3-2-1_54HWF_2023-12-22_final.stac-item
2023-12-22 11:51:10	ga_s2am_ard_3-2-1_51LUF_2023-12-22_final.stac-item
2023-12-22 11:52:25	ga_s2am_ard_3-2-1_50KPF_2023-12-22_final.stac-item
2023-12-22 11:52:50	ga_s2am_ard_3-2-1_51KTU_2023-12-22_final.stac-item
2023-12-22 11:52:55	ga_s2am_ard_3-2-1_50KRD_2023-12-22_final.stac-item
2023-12-22 11:53:21	ga_s2am_ard_3-2-1_50KNC_2023-12-22_final.stac-item
2023-12-22 11:53:50	ga_s2am_ard_3-2-1_50KNA_2023-12-22_final.stac-item
2023-12-22 11:55:09	ga_s2am_ard_3-2-1_50JLR_2023-12-22_final.stac-item
2023-12-22 11:55:22	ga_s2am_ard_3-2-1_50JPP_2023-12-22_final.stac-item
2023-12-22 11:55:23	ga_s2am_ard_3-2-1_50JLQ_2023-12-22_final.stac-item
2023-12-22 11:55:38	ga_s2am_ard_3-2-1_50JLP_2023-12-22_final.stac-item
2023-12-22 11:56:51	ga_s2am_ard_3-2-1_50HLJ_2023-12-22_final.stac-item
2023-12-22 11:57:18	ga_s2am_ard_3-2-1_50HLG_2023-12-22_final.stac-item
2023-12-23 09:41:20	ga_s2am_ard_3-2-1_56KMG_2023-12-23_final.stac-item
2023-12-23 09:41:28	ga_s2am_ard_3-2-1_55KHB_2023-12-23_final.stac-item
2023-12-23 09:42:46	ga_s2am_ard_3-2-1_56KMA_2023-12-23_final.stac-item
2023-12-23 09:43:56	ga_s2am_ard_3-2-1_55JGM_2023-12-23_final.stac-item
2023-12-23 09:43:59	ga_s2am_ard_3-2-1_55JFM_2023-12-23_final.stac-item
2023-12-23 09:44:21	ga_s2am_ard_3-2-1_56JKQ_2023-12-23_final.stac-item
2023-12-23 09:45:11	ga_s2am_ard_3-2-1_55JFG_2023-12-23_final.stac-item
2023-12-23 09:45:15	ga_s2am_ard_3-2-1_55JEG_2023-12-23_final.stac-item
2023-12-23 09:45:22	ga_s2am_ard_3-2-1_55JDG_2023-12-23_final.stac-item
2023-12-23 09:46:38	ga_s2am_ard_3-2-1_55HFA_2023-12-23_final.stac-item
2023-12-23 09:46:56	ga_s2am_ard_3-2-1_55HEV_2023-12-23_final.stac-item
2023-12-23 09:47:18	ga_s2am_ard_3-2-1_55HCU_2023-12-23_final.stac-item
2023-12-23 09:47:26	ga_s2am_ard_3-2-1_55HCT_2023-12-23_final.stac-item
2023-12-23 09:47:26	ga_s2am_ard_3-2-1_55HCU_2023-12-23_final.stac-item
2023-12-23 09:47:28	ga_s2am_ard_3-2-1_55HBT_2023-12-23_final.stac-item
2023-12-23 09:47:31	ga_s2am_ard_3-2-1_55HDT_2023-12-23_final.stac-item
2023-12-23 09:47:44	ga_s2am_ard_3-2-1_55HDS_2023-12-23_final.stac-item
2023-12-23 09:48:53	ga_s2am_ard_3-2-1_55GDM_2023-12-23_final.stac-item
2023-12-23 11:21:20	ga_s2am_ard_3-2-1_52LBK_2023-12-23_final.stac-item
2023-12-23 11:21:36	ga_s2am_ard_3-2-1_51LZD_2023-12-23_final.stac-item
2023-12-23 11:21:50	ga_s2am_ard_3-2-1_52LBH_2023-12-23_final.stac-item
2023-12-23 11:22:01	ga_s2am_ard_3-2-1_52KCG_2023-12-23_final.stac-item
2023-12-23 11:22:04	ga_s2am_ard_3-2-1_52KBG_2023-12-23_final.stac-item
2023-12-23 11:22:08	ga_s2am_ard_3-2-1_51KYB_2023-12-23_final.stac-item
2023-12-23 11:22:23	ga_s2am_ard_3-2-1_51KYA_2023-12-23_final.stac-item
2023-12-23 11:22:49	ga_s2am_ard_3-2-1_51KZU_2023-12-23_final.stac-item
2023-12-23 11:22:57	ga_s2am_ard_3-2-1_51KXU_2023-12-23_final.stac-item
2023-12-23 11:23:03	ga_s2am_ard_3-2-1_51KZT_2023-12-23_final.stac-item
2023-12-23 11:23:17	ga_s2am_ard_3-2-1_52KBB_2023-12-23_final.stac-item
2023-12-23 11:23:39	ga_s2am_ard_3-2-1_51KXR_2023-12-23_final.stac-item
2023-12-23 11:23:46	ga_s2am_ard_3-2-1_51KZQ_2023-12-23_final.stac-item
2023-12-23 11:23:54	ga_s2am_ard_3-2-1_51KXQ_2023-12-23_final.stac-item
2023-12-23 11:24:23	ga_s2am_ard_3-2-1_51JXN_2023-12-23_final.stac-item
2023-12-23 11:24:27	ga_s2am_ard_3-2-1_51JZM_2023-12-23_final.stac-item
2023-12-23 11:24:30	ga_s2am_ard_3-2-1_51JYM_2023-12-23_final.stac-item
2023-12-23 11:24:32	ga_s2am_ard_3-2-1_51JXM_2023-12-23_final.stac-item
2023-12-23 11:24:38	ga_s2am_ard_3-2-1_51JXM_2023-12-23_final.stac-item
2023-12-23 11:24:48	ga_s2am_ard_3-2-1_51JYL_2023-12-23_final.stac-item
2023-12-23 11:24:52	ga_s2am_ard_3-2-1_51JXL_2023-12-23_final.stac-item
2023-12-23 11:24:55	ga_s2am_ard_3-2-1_51JWL_2023-12-23_final.stac-item
2023-12-23 11:25:09	ga_s2am_ard_3-2-1_51JWK_2023-12-23_final.stac-item
2023-12-23 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2023-12-23_final.stac-item
2023-12-23 11:25:30	ga_s2am_ard_3-2-1_51JYH_2023-12-23_final.stac-item
2023-12-23 11:25:41	ga_s2am_ard_3-2-1_51JYG_2023-12-23_final.stac-item
2023-12-23 11:25:49	ga_s2am_ard_3-2-1_51JXG_2023-12-23_final.stac-item
2023-12-23 11:25:53	ga_s2am_ard_3-2-1_51JWG_2023-12-23_final.stac-item
2023-12-23 11:26:08	ga_s2am_ard_3-2-1_51JWF_2023-12-23_final.stac-item
2023-12-23 11:26:18	ga_s2am_ard_3-2-1_51HXE_2023-12-23_final.stac-item
2023-12-23 11:26:22	ga_s2am_ard_3-2-1_51HWE_2023-12-23_final.stac-item
2023-12-23 11:26:44	ga_s2am_ard_3-2-1_51HUD_2023-12-23_final.stac-item
2023-12-23 11:26:51	ga_s2am_ard_3-2-1_51HWC_2023-12-23_final.stac-item
2023-12-23 11:27:04	ga_s2am_ard_3-2-1_51HTC_2023-12-23_final.stac-item
2023-12-23 11:27:11	ga_s2am_ard_3-2-1_51HTB_2023-12-23_final.stac-item
2024-01-01 11:50:27	ga_s2am_ard_3-2-1_51LUJ_2024-01-01_nrt.stac-item
2024-01-01 11:50:30	ga_s2am_ard_3-2-1_51LTJ_2024-01-01_nrt.stac-item
2024-01-01 11:50:49	ga_s2am_ard_3-2-1_50LQN_2024-01-01_nrt.stac-item
2024-01-01 11:50:56	ga_s2am_ard_3-2-1_51LUG_2024-01-01_nrt.stac-item
2024-01-01 11:51:15	ga_s2am_ard_3-2-1_50LRL_2024-01-01_nrt.stac-item
2024-01-01 11:51:42	ga_s2am_ard_3-2-1_51LTD_2024-01-01_nrt.stac-item
2024-01-01 11:51:57	ga_s2am_ard_3-2-1_51LTC_2024-01-01_nrt.stac-item
2024-01-01 11:51:58	ga_s2am_ard_3-2-1_50LRH_2024-01-01_nrt.stac-item
2024-01-01 11:52:15	ga_s2am_ard_3-2-1_50KPG_2024-01-01_nrt.stac-item
2024-01-01 11:52:22	ga_s2am_ard_3-2-1_50KPG_2024-01-01_nrt.stac-item
2024-01-01 11:52:26	ga_s2am_ard_3-2-1_50KNG_2024-01-01_nrt.stac-item
2024-01-01 11:52:42	ga_s2am_ard_3-2-1_50KRE_2024-01-01_nrt.stac-item
2024-01-01 11:56:30	ga_s2am_ard_3-2-1_49JGF_2024-01-01_nrt.stac-item
2024-01-01 11:56:57	ga_s2am_ard_3-2-1_49HGD_2024-01-01_nrt.stac-item
2024-01-01 11:57:11	ga_s2am_ard_3-2-1_49HGC_2024-01-01_nrt.stac-item
2024-01-01 11:57:22	ga_s2am_ard_3-2-1_49HGB_2024-01-01_nrt.stac-item
2024-01-01 11:57:24	ga_s2am_ard_3-2-1_49HFB_2024-01-01_nrt.stac-item
2024-01-02 09:41:56	ga_s2am_ard_3-2-1_56KKE_2024-01-02_nrt.stac-item
2024-01-02 09:41:57	ga_s2am_ard_3-2-1_55KHV_2024-01-02_nrt.stac-item
2024-01-02 09:42:10	ga_s2am_ard_3-2-1_56KKD_2024-01-02_nrt.stac-item
2024-01-02 11:20:10	ga_s2am_ard_3-2-1_52LDP_2024-01-02_nrt.stac-item
2024-01-02 11:20:45	ga_s2am_ard_3-2-1_52LDM_2024-01-02_nrt.stac-item
2024-01-02 11:20:49	ga_s2am_ard_3-2-1_52LCM_2024-01-02_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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