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
2019-09-21 11:46:19	ga_s2am_ard_3-2-1_50JPL_2019-09-21_final
2019-09-21 11:46:23	ga_s2am_ard_3-2-1_50JNL_2019-09-21_final
2019-09-21 11:46:26	ga_s2am_ard_3-2-1_50JML_2019-09-21_final
2019-09-21 11:46:37	ga_s2am_ard_3-2-1_50HNK_2019-09-21_final
2019-09-21 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-09-21_final
2019-09-22 09:33:25	ga_s2am_ard_3-2-1_56KMU_2019-09-22_final
2019-09-22 09:33:43	ga_s2am_ard_3-2-1_56JLT_2019-09-22_final
2019-09-22 09:34:05	ga_s2am_ard_3-2-1_56JNR_2019-09-22_final.stac-item
2019-09-22 09:34:08	ga_s2am_ard_3-2-1_56JMR_2019-09-22_final
2019-09-22 09:34:12	ga_s2am_ard_3-2-1_56JLR_2019-09-22_final
2019-09-22 09:34:14	ga_s2am_ard_3-2-1_56JKR_2019-09-22_final
2019-09-22 09:34:19	ga_s2am_ard_3-2-1_56JNQ_2019-09-22_final.stac-item
2019-09-22 09:34:23	ga_s2am_ard_3-2-1_56JMQ_2019-09-22_final
2019-09-22 09:34:26	ga_s2am_ard_3-2-1_56JLQ_2019-09-22_final
2019-09-22 09:34:29	ga_s2am_ard_3-2-1_56JKQ_2019-09-22_final
2019-09-22 09:34:33	ga_s2am_ard_3-2-1_56JNP_2019-09-22_final.stac-item
2019-09-22 09:34:37	ga_s2am_ard_3-2-1_56JMP_2019-09-22_final
2019-09-22 09:34:41	ga_s2am_ard_3-2-1_56JLP_2019-09-22_final
2019-09-22 09:34:44	ga_s2am_ard_3-2-1_56JNN_2019-09-22_final
2019-09-22 09:34:44	ga_s2am_ard_3-2-1_56JKP_2019-09-22_final
2019-09-22 09:34:50	ga_s2am_ard_3-2-1_55JGJ_2019-09-22_final
2019-09-22 09:34:52	ga_s2am_ard_3-2-1_56JMN_2019-09-22_final
2019-09-22 09:34:59	ga_s2am_ard_3-2-1_56JKN_2019-09-22_final
2019-09-22 09:35:02	ga_s2am_ard_3-2-1_55JGH_2019-09-22_final
2019-09-22 09:35:06	ga_s2am_ard_3-2-1_56JMM_2019-09-22_final
2019-09-22 09:35:13	ga_s2am_ard_3-2-1_56JKM_2019-09-22_final
2019-09-22 09:35:15	ga_s2am_ard_3-2-1_55JGG_2019-09-22_final
2019-09-22 09:35:21	ga_s2am_ard_3-2-1_56JML_2019-09-22_final
2019-09-22 09:35:24	ga_s2am_ard_3-2-1_56JLL_2019-09-22_final
2019-09-22 09:35:28	ga_s2am_ard_3-2-1_56JKL_2019-09-22_final
2019-09-22 09:35:30	ga_s2am_ard_3-2-1_55JGF_2019-09-22_final
2019-09-22 09:35:35	ga_s2am_ard_3-2-1_56HMK_2019-09-22_final
2019-09-22 09:35:39	ga_s2am_ard_3-2-1_56HLK_2019-09-22_final
2019-09-22 09:35:42	ga_s2am_ard_3-2-1_56HKK_2019-09-22_final
2019-09-22 09:35:45	ga_s2am_ard_3-2-1_55HGE_2019-09-22_final
2019-09-22 09:35:50	ga_s2am_ard_3-2-1_55HFE_2019-09-22_final
2019-09-22 09:36:12	ga_s2am_ard_3-2-1_56HKH_2019-09-22_final
2019-09-22 09:36:13	ga_s2am_ard_3-2-1_55HGC_2019-09-22_final
2019-09-22 09:36:46	ga_s2am_ard_3-2-1_55HFA_2019-09-22_final
2019-09-22 09:36:51	ga_s2am_ard_3-2-1_55HEA_2019-09-22_final
2019-09-22 09:37:00	ga_s2am_ard_3-2-1_55HFV_2019-09-22_final
2019-09-22 09:37:04	ga_s2am_ard_3-2-1_55HEV_2019-09-22_final
2019-09-22 09:37:19	ga_s2am_ard_3-2-1_55HEU_2019-09-22_final
2019-09-22 09:37:44	ga_s2am_ard_3-2-1_55HFS_2019-09-22_final.stac-item
2019-09-22 09:37:47	ga_s2am_ard_3-2-1_55HES_2019-09-22_final
2019-09-22 09:37:51	ga_s2am_ard_3-2-1_55HDS_2019-09-22_final
2019-09-22 09:37:58	ga_s2am_ard_3-2-1_55GFR_2019-09-22_final
2019-09-22 09:38:02	ga_s2am_ard_3-2-1_55GER_2019-09-22_final
2019-09-22 09:38:05	ga_s2am_ard_3-2-1_55GDR_2019-09-22_final
2019-09-22 09:38:12	ga_s2am_ard_3-2-1_55GFQ_2019-09-22_final
2019-09-22 09:38:16	ga_s2am_ard_3-2-1_55GEQ_2019-09-22_final
2019-09-22 09:38:20	ga_s2am_ard_3-2-1_55GDQ_2019-09-22_final
2019-09-22 09:38:27	ga_s2am_ard_3-2-1_55GFP_2019-09-22_final
2019-09-22 09:38:31	ga_s2am_ard_3-2-1_55GEP_2019-09-22_final
2019-09-22 09:38:35	ga_s2am_ard_3-2-1_55GDP_2019-09-22_final
2019-09-22 09:38:40	ga_s2am_ard_3-2-1_55GCP_2019-09-22_final
2019-09-22 11:10:47	ga_s2am_ard_3-2-1_52LFM_2019-09-22_final.stac-item
2019-09-22 11:10:58	ga_s2am_ard_3-2-1_52LGL_2019-09-22_final
2019-09-22 11:11:02	ga_s2am_ard_3-2-1_52LFL_2019-09-22_final
2019-09-22 11:11:16	ga_s2am_ard_3-2-1_52LFK_2019-09-22_final
2019-09-22 11:11:19	ga_s2am_ard_3-2-1_52LEK_2019-09-22_final.stac-item
2019-09-22 11:12:53	ga_s2am_ard_3-2-1_52KCD_2019-09-22_final
2019-09-22 11:13:14	ga_s2am_ard_3-2-1_52KBC_2019-09-22_final
2019-09-22 11:13:15	ga_s2am_ard_3-2-1_52KEB_2019-09-22_final
2019-09-22 11:13:19	ga_s2am_ard_3-2-1_52KDB_2019-09-22_final
2019-09-22 11:13:22	ga_s2am_ard_3-2-1_52KCB_2019-09-22_final
2019-09-22 11:13:30	ga_s2am_ard_3-2-1_52KEA_2019-09-22_final
2019-09-22 11:13:40	ga_s2am_ard_3-2-1_52KBA_2019-09-22_final
2019-09-22 11:13:57	ga_s2am_ard_3-2-1_52KEU_2019-09-22_final
2019-09-22 11:14:02	ga_s2am_ard_3-2-1_52KDU_2019-09-22_final
2019-09-22 11:14:21	ga_s2am_ard_3-2-1_52JCT_2019-09-22_final
2019-09-22 11:14:24	ga_s2am_ard_3-2-1_52JBT_2019-09-22_final
2019-09-22 11:14:31	ga_s2am_ard_3-2-1_52JDS_2019-09-22_final
2019-09-22 11:14:46	ga_s2am_ard_3-2-1_52JDR_2019-09-22_final
2019-09-22 11:14:50	ga_s2am_ard_3-2-1_52JCR_2019-09-22_final
2019-09-22 11:14:53	ga_s2am_ard_3-2-1_52JBR_2019-09-22_final
2019-09-22 11:15:00	ga_s2am_ard_3-2-1_52JDQ_2019-09-22_final
2019-09-22 11:15:04	ga_s2am_ard_3-2-1_52JCQ_2019-09-22_final
2019-09-22 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2019-09-22_final
2019-09-22 11:15:11	ga_s2am_ard_3-2-1_51JYK_2019-09-22_final
2019-09-22 11:15:12	ga_s2am_ard_3-2-1_52JDP_2019-09-22_final
2019-09-22 11:15:18	ga_s2am_ard_3-2-1_52JCP_2019-09-22_final
2019-09-22 11:15:22	ga_s2am_ard_3-2-1_52JBP_2019-09-22_final
2019-09-22 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2019-09-22_final
2019-09-22 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2019-09-22_final
2019-09-22 11:15:37	ga_s2am_ard_3-2-1_52JBN_2019-09-22_final
2019-09-22 11:15:39	ga_s2am_ard_3-2-1_51JYH_2019-09-22_final
2019-09-22 11:15:48	ga_s2am_ard_3-2-1_52JBM_2019-09-22_final
2019-09-22 11:15:49	ga_s2am_ard_3-2-1_51JYG_2019-09-22_final
2019-09-22 11:15:51	ga_s2am_ard_3-2-1_51JXG_2019-09-22_final
2019-09-22 11:15:54	ga_s2am_ard_3-2-1_52JBM_2019-09-22_final
2019-09-22 11:15:56	ga_s2am_ard_3-2-1_51JYG_2019-09-22_final
2019-09-22 11:15:58	ga_s2am_ard_3-2-1_51JXG_2019-09-22_final
2019-09-22 11:16:02	ga_s2am_ard_3-2-1_52JCL_2019-09-22_final
2019-09-22 11:16:06	ga_s2am_ard_3-2-1_52JBL_2019-09-22_final
2019-09-22 11:16:08	ga_s2am_ard_3-2-1_51JYF_2019-09-22_final
2019-09-22 11:16:12	ga_s2am_ard_3-2-1_51JXF_2019-09-22_final
2019-09-22 11:16:16	ga_s2am_ard_3-2-1_52HCK_2019-09-22_final.stac-item
2019-09-22 11:16:20	ga_s2am_ard_3-2-1_51JWF_2019-09-22_final
2019-09-22 11:16:20	ga_s2am_ard_3-2-1_52HBK_2019-09-22_final

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

Other products

All years