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
2023-02-11 10:31:10	ga_s2am_ard_3-2-1_54LWJ_2023-02-11_final.stac-item
2023-02-11 10:32:32	ga_s2am_ard_3-2-1_53KQU_2023-02-11_final.stac-item
2023-02-11 10:33:00	ga_s2am_ard_3-2-1_54KTB_2023-02-11_final.stac-item
2023-02-11 10:33:50	ga_s2am_ard_3-2-1_54JUT_2023-02-11_final.stac-item
2023-02-13 09:36:25	ga_s2am_ard_3-2-1_55HGB_2023-02-13_final.stac-item
2023-02-13 09:38:14	ga_s2am_ard_3-2-1_55GEQ_2023-02-13_final.stac-item
2023-02-13 11:14:33	ga_s2am_ard_3-2-1_52JCS_2023-02-13_final.stac-item
2023-02-15 10:10:37	ga_s2am_ard_3-2-1_54LZL_2023-02-15_final.stac-item
2023-02-15 10:10:52	ga_s2am_ard_3-2-1_54LZK_2023-02-15_final.stac-item
2023-02-15 10:13:09	ga_s2am_ard_3-2-1_54KXA_2023-02-15_final.stac-item
2023-02-15 10:14:28	ga_s2am_ard_3-2-1_54JVR_2023-02-15_final.stac-item
2023-02-15 10:14:43	ga_s2am_ard_3-2-1_54JVQ_2023-02-15_final.stac-item
2023-02-16 09:45:37	ga_s2am_ard_3-2-1_55HGE_2023-02-16_final.stac-item
2023-02-18 10:21:26	ga_s2am_ard_3-2-1_54LWH_2023-02-18_final.stac-item
2023-02-18 10:22:53	ga_s2am_ard_3-2-1_54KWB_2023-02-18_final.stac-item
2023-02-18 10:24:17	ga_s2am_ard_3-2-1_54JVR_2023-02-18_final.stac-item
2023-02-19 09:55:00	ga_s2am_ard_3-2-1_55JDH_2023-02-19_final.stac-item
2023-02-20 11:02:12	ga_s2am_ard_3-2-1_52KGF_2023-02-20_final.stac-item
2023-02-20 11:02:22	ga_s2am_ard_3-2-1_52KGE_2023-02-20_final.stac-item
2023-02-21 10:31:06	ga_s2am_ard_3-2-1_54LWJ_2023-02-21_final.stac-item
2023-02-21 10:31:43	ga_s2am_ard_3-2-1_54KUG_2023-02-21_final.stac-item
2023-02-21 10:32:20	ga_s2am_ard_3-2-1_53KQV_2023-02-21_final.stac-item
2023-02-21 10:33:14	ga_s2am_ard_3-2-1_54KTA_2023-02-21_final.stac-item
2023-02-21 10:33:38	ga_s2am_ard_3-2-1_54KUU_2023-02-21_final.stac-item
2023-02-21 10:33:49	ga_s2am_ard_3-2-1_54JUT_2023-02-21_final.stac-item
2023-02-21 12:14:06	ga_s2am_ard_3-2-1_49KHQ_2023-02-21_final.stac-item
2023-02-22 10:05:20	ga_s2am_ard_3-2-1_54JYM_2023-02-22_final.stac-item
2023-02-22 11:44:57	ga_s2am_ard_3-2-1_51JTL_2023-02-22_final.stac-item
2023-02-22 11:45:13	ga_s2am_ard_3-2-1_51JTK_2023-02-22_final.stac-item
2023-02-22 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-22_final.stac-item
2023-02-23 09:33:58	ga_s2am_ard_3-2-1_55JHM_2023-02-23_final.stac-item
2023-02-23 09:35:13	ga_s2am_ard_3-2-1_55JGG_2023-02-23_final.stac-item
2023-02-23 09:35:27	ga_s2am_ard_3-2-1_55JGF_2023-02-23_final.stac-item
2023-02-23 09:35:42	ga_s2am_ard_3-2-1_55HGE_2023-02-23_final.stac-item
2023-02-23 09:36:23	ga_s2am_ard_3-2-1_56HKG_2023-02-23_final.stac-item
2023-02-23 09:36:25	ga_s2am_ard_3-2-1_55HGB_2023-02-23_final.stac-item
2023-02-23 09:36:39	ga_s2am_ard_3-2-1_55HGA_2023-02-23_final.stac-item
2023-02-23 09:36:43	ga_s2am_ard_3-2-1_55HFA_2023-02-23_final.stac-item
2023-02-23 09:37:01	ga_s2am_ard_3-2-1_55HEV_2023-02-23_final.stac-item
2023-02-23 09:37:37	ga_s2am_ard_3-2-1_55HDT_2023-02-23_final.stac-item
2023-02-23 09:37:49	ga_s2am_ard_3-2-1_55HDS_2023-02-23_final.stac-item
2023-02-23 09:37:59	ga_s2am_ard_3-2-1_55GER_2023-02-23_final.stac-item
2023-02-23 09:38:03	ga_s2am_ard_3-2-1_55GDR_2023-02-23_final.stac-item
2023-02-23 09:38:18	ga_s2am_ard_3-2-1_55GDQ_2023-02-23_final.stac-item
2023-02-23 11:10:22	ga_s2am_ard_3-2-1_52LHN_2023-02-23_final.stac-item
2023-02-23 11:10:26	ga_s2am_ard_3-2-1_52LGN_2023-02-23_final.stac-item
2023-02-23 11:11:28	ga_s2am_ard_3-2-1_52LFJ_2023-02-23_final.stac-item
2023-02-23 11:11:31	ga_s2am_ard_3-2-1_52LEJ_2023-02-23_final.stac-item
2023-02-23 11:11:37	ga_s2am_ard_3-2-1_52LGH_2023-02-23_final.stac-item
2023-02-23 11:11:42	ga_s2am_ard_3-2-1_52LFH_2023-02-23_final.stac-item
2023-02-23 11:11:46	ga_s2am_ard_3-2-1_52LEH_2023-02-23_final.stac-item
2023-02-23 11:12:11	ga_s2am_ard_3-2-1_52KFF_2023-02-23_final.stac-item
2023-02-23 11:12:15	ga_s2am_ard_3-2-1_52KEF_2023-02-23_final.stac-item
2023-02-23 11:12:26	ga_s2am_ard_3-2-1_52KFE_2023-02-23_final.stac-item
2023-02-23 11:12:29	ga_s2am_ard_3-2-1_52KEE_2023-02-23_final.stac-item
2023-02-23 11:12:36	ga_s2am_ard_3-2-1_52KCE_2023-02-23_final.stac-item
2023-02-23 11:12:47	ga_s2am_ard_3-2-1_52KDD_2023-02-23_final.stac-item
2023-02-23 11:12:50	ga_s2am_ard_3-2-1_52KCD_2023-02-23_final.stac-item
2023-02-23 11:12:51	ga_s2am_ard_3-2-1_52KFC_2023-02-23_final.stac-item
2023-02-23 11:13:02	ga_s2am_ard_3-2-1_52KDC_2023-02-23_final.stac-item
2023-02-23 11:13:16	ga_s2am_ard_3-2-1_52KDB_2023-02-23_final.stac-item
2023-02-23 11:13:27	ga_s2am_ard_3-2-1_52KEA_2023-02-23_final.stac-item
2023-02-23 11:13:37	ga_s2am_ard_3-2-1_52KBA_2023-02-23_final.stac-item
2023-02-23 11:13:45	ga_s2am_ard_3-2-1_52KDV_2023-02-23_final.stac-item
2023-02-23 11:13:52	ga_s2am_ard_3-2-1_51KZQ_2023-02-23_final.stac-item
2023-02-23 11:14:05	ga_s2am_ard_3-2-1_52JET_2023-02-23_final.stac-item
2023-02-23 11:14:06	ga_s2am_ard_3-2-1_51KZP_2023-02-23_final.stac-item
2023-02-23 11:14:06	ga_s2am_ard_3-2-1_52KBU_2023-02-23_final.stac-item
2023-02-23 11:14:14	ga_s2am_ard_3-2-1_52JDT_2023-02-23_final.stac-item
2023-02-23 11:14:18	ga_s2am_ard_3-2-1_52JCT_2023-02-23_final.stac-item
2023-02-23 11:14:32	ga_s2am_ard_3-2-1_52JCS_2023-02-23_final.stac-item
2023-02-23 11:14:35	ga_s2am_ard_3-2-1_52JBS_2023-02-23_final.stac-item
2023-02-23 11:14:47	ga_s2am_ard_3-2-1_52JCR_2023-02-23_final.stac-item
2023-02-23 11:14:50	ga_s2am_ard_3-2-1_52JBR_2023-02-23_final.stac-item
2023-02-23 11:14:53	ga_s2am_ard_3-2-1_51JYL_2023-02-23_final.stac-item
2023-02-23 11:15:42	ga_s2am_ard_3-2-1_52JBM_2023-02-23_final.stac-item
2023-02-23 11:15:49	ga_s2am_ard_3-2-1_52JBM_2023-02-23_final.stac-item
2023-02-23 11:15:55	ga_s2am_ard_3-2-1_51JXG_2023-02-23_final.stac-item
2023-02-23 11:16:03	ga_s2am_ard_3-2-1_52JBL_2023-02-23_final.stac-item
2023-02-23 11:16:05	ga_s2am_ard_3-2-1_51JYF_2023-02-23_final.stac-item
2023-02-23 11:16:20	ga_s2am_ard_3-2-1_51HYE_2023-02-23_final.stac-item
2023-02-23 11:16:38	ga_s2am_ard_3-2-1_51HXD_2023-02-23_final.stac-item
2023-03-14 09:59:47	ga_s2am_ard_3-2-1_55LEJ_2023-03-14_nrt.stac-item
2023-03-14 10:00:02	ga_s2am_ard_3-2-1_55LEH_2023-03-14_nrt.stac-item
2023-03-14 10:00:16	ga_s2am_ard_3-2-1_55LEG_2023-03-14_nrt.stac-item
2023-03-14 10:00:31	ga_s2am_ard_3-2-1_55LEF_2023-03-14_nrt.stac-item
2023-03-14 10:00:45	ga_s2am_ard_3-2-1_55LEE_2023-03-14_nrt.stac-item
2023-03-14 10:01:00	ga_s2am_ard_3-2-1_55LED_2023-03-14_nrt.stac-item
2023-03-14 10:01:43	ga_s2am_ard_3-2-1_55KEA_2023-03-14_nrt.stac-item
2023-03-14 10:07:46	ga_s2am_ard_3-2-1_54HWB_2023-03-14_nrt.stac-item
2023-03-14 11:40:28	ga_s2am_ard_3-2-1_51LVJ_2023-03-14_nrt.stac-item
2023-03-14 11:40:43	ga_s2am_ard_3-2-1_51LVH_2023-03-14_nrt.stac-item
2023-03-14 11:41:37	ga_s2am_ard_3-2-1_51LWD_2023-03-14_nrt.stac-item
2023-03-14 11:42:16	ga_s2am_ard_3-2-1_51KTB_2023-03-14_nrt.stac-item
2023-03-14 11:42:32	ga_s2am_ard_3-2-1_50KRF_2023-03-14_nrt.stac-item
2023-03-14 11:42:46	ga_s2am_ard_3-2-1_50KRE_2023-03-14_nrt.stac-item
2023-03-14 11:47:29	ga_s2am_ard_3-2-1_50HNF_2023-03-14_nrt.stac-item
2023-03-14 11:47:31	ga_s2am_ard_3-2-1_50HMF_2023-03-14_nrt.stac-item
2023-03-14 11:47:32	ga_s2am_ard_3-2-1_50HLF_2023-03-14_nrt.stac-item
2023-03-15 09:38:04	ga_s2am_ard_3-2-1_56GKV_2023-03-15_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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