Search ga_s2am_ard_3 on 29th March 2022

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
2022-03-29 10:01:14	ga_s2am_ard_3-2-1_55LCD_2022-03-29_final
2022-03-29 10:01:45	ga_s2am_ard_3-2-1_55KFA_2022-03-29_final
2022-03-29 10:01:56	ga_s2am_ard_3-2-1_55KCA_2022-03-29_final
2022-03-29 10:02:03	ga_s2am_ard_3-2-1_55KEV_2022-03-29_final
2022-03-29 10:02:07	ga_s2am_ard_3-2-1_55KDV_2022-03-29_final
2022-03-29 10:02:07	ga_s2am_ard_3-2-1_55KFU_2022-03-29_final
2022-03-29 10:02:17	ga_s2am_ard_3-2-1_55KBV_2022-03-29_final
2022-03-29 10:02:18	ga_s2am_ard_3-2-1_55KEU_2022-03-29_final
2022-03-29 10:02:22	ga_s2am_ard_3-2-1_55KDU_2022-03-29_final
2022-03-29 10:02:25	ga_s2am_ard_3-2-1_55KCU_2022-03-29_final
2022-03-29 10:02:28	ga_s2am_ard_3-2-1_55KBU_2022-03-29_final
2022-03-29 10:02:33	ga_s2am_ard_3-2-1_55KET_2022-03-29_final
2022-03-29 10:02:39	ga_s2am_ard_3-2-1_55KCT_2022-03-29_final
2022-03-29 10:02:47	ga_s2am_ard_3-2-1_55KES_2022-03-29_final
2022-03-29 10:02:51	ga_s2am_ard_3-2-1_55KDS_2022-03-29_final
2022-03-29 10:02:54	ga_s2am_ard_3-2-1_55KCS_2022-03-29_final
2022-03-29 10:02:57	ga_s2am_ard_3-2-1_55KBS_2022-03-29_final
2022-03-29 10:03:00	ga_s2am_ard_3-2-1_55KER_2022-03-29_final
2022-03-29 10:03:05	ga_s2am_ard_3-2-1_55KDR_2022-03-29_final
2022-03-29 10:03:08	ga_s2am_ard_3-2-1_55KCR_2022-03-29_final
2022-03-29 10:03:11	ga_s2am_ard_3-2-1_55KEQ_2022-03-29_final
2022-03-29 10:03:12	ga_s2am_ard_3-2-1_55KBR_2022-03-29_final
2022-03-29 10:03:19	ga_s2am_ard_3-2-1_55KDQ_2022-03-29_final
2022-03-29 10:03:23	ga_s2am_ard_3-2-1_55KCQ_2022-03-29_final
2022-03-29 10:03:26	ga_s2am_ard_3-2-1_55KBQ_2022-03-29_final
2022-03-29 10:03:34	ga_s2am_ard_3-2-1_55KDP_2022-03-29_final
2022-03-29 10:03:38	ga_s2am_ard_3-2-1_55KCP_2022-03-29_final
2022-03-29 10:03:41	ga_s2am_ard_3-2-1_55KBP_2022-03-29_final
2022-03-29 10:03:45	ga_s2am_ard_3-2-1_54KYU_2022-03-29_final
2022-03-29 10:03:49	ga_s2am_ard_3-2-1_55JDN_2022-03-29_final
2022-03-29 10:03:55	ga_s2am_ard_3-2-1_55JBN_2022-03-29_final
2022-03-29 10:03:58	ga_s2am_ard_3-2-1_54JYT_2022-03-29_final
2022-03-29 10:04:03	ga_s2am_ard_3-2-1_55JDM_2022-03-29_final
2022-03-29 10:04:07	ga_s2am_ard_3-2-1_55JCM_2022-03-29_final
2022-03-29 10:04:10	ga_s2am_ard_3-2-1_55JBM_2022-03-29_final
2022-03-29 10:04:13	ga_s2am_ard_3-2-1_54JYS_2022-03-29_final
2022-03-29 10:04:16	ga_s2am_ard_3-2-1_55JDL_2022-03-29_final
2022-03-29 10:04:21	ga_s2am_ard_3-2-1_55JCL_2022-03-29_final
2022-03-29 10:04:26	ga_s2am_ard_3-2-1_55JDK_2022-03-29_final
2022-03-29 10:04:35	ga_s2am_ard_3-2-1_54JXR_2022-03-29_final
2022-03-29 10:05:05	ga_s2am_ard_3-2-1_55JCH_2022-03-29_final
2022-03-29 10:05:08	ga_s2am_ard_3-2-1_55JBH_2022-03-29_final
2022-03-29 10:05:11	ga_s2am_ard_3-2-1_54JYN_2022-03-29_final
2022-03-29 10:05:15	ga_s2am_ard_3-2-1_54JXN_2022-03-29_final
2022-03-29 10:05:40	ga_s2am_ard_3-2-1_54JYL_2022-03-29_final
2022-03-29 10:05:47	ga_s2am_ard_3-2-1_54JWL_2022-03-29_final
2022-03-29 10:06:41	ga_s2am_ard_3-2-1_54HXG_2022-03-29_final
2022-03-29 10:07:29	ga_s2am_ard_3-2-1_54HWD_2022-03-29_final
2022-03-29 10:07:32	ga_s2am_ard_3-2-1_54HVD_2022-03-29_final
2022-03-29 10:07:39	ga_s2am_ard_3-2-1_54HXC_2022-03-29_final
2022-03-29 10:07:43	ga_s2am_ard_3-2-1_54HWC_2022-03-29_final
2022-03-29 10:07:46	ga_s2am_ard_3-2-1_54HVC_2022-03-29_final.stac-item
2022-03-29 11:41:00	ga_s2am_ard_3-2-1_51LWG_2022-03-29_final.stac-item
2022-03-29 11:41:03	ga_s2am_ard_3-2-1_51LVG_2022-03-29_final
2022-03-29 11:41:17	ga_s2am_ard_3-2-1_51LVF_2022-03-29_final
2022-03-29 11:41:21	ga_s2am_ard_3-2-1_51LUF_2022-03-29_final
2022-03-29 11:41:28	ga_s2am_ard_3-2-1_51LWE_2022-03-29_final
2022-03-29 11:41:32	ga_s2am_ard_3-2-1_51LVE_2022-03-29_final
2022-03-29 11:41:35	ga_s2am_ard_3-2-1_51LUE_2022-03-29_final
2022-03-29 11:41:50	ga_s2am_ard_3-2-1_51LUD_2022-03-29_final.stac-item
2022-03-29 11:42:18	ga_s2am_ard_3-2-1_51KUB_2022-03-29_final.stac-item
2022-03-29 11:42:33	ga_s2am_ard_3-2-1_51KUA_2022-03-29_final
2022-03-29 11:43:03	ga_s2am_ard_3-2-1_51KUU_2022-03-29_final
2022-03-29 11:43:06	ga_s2am_ard_3-2-1_51KTU_2022-03-29_final
2022-03-29 11:43:11	ga_s2am_ard_3-2-1_50KQD_2022-03-29_final.stac-item
2022-03-29 11:43:17	ga_s2am_ard_3-2-1_51KUT_2022-03-29_final
2022-03-29 11:43:27	ga_s2am_ard_3-2-1_51KVS_2022-03-29_final
2022-03-29 11:43:32	ga_s2am_ard_3-2-1_51KUS_2022-03-29_final
2022-03-29 11:43:35	ga_s2am_ard_3-2-1_51KTS_2022-03-29_final
2022-03-29 11:43:38	ga_s2am_ard_3-2-1_51KVR_2022-03-29_final
2022-03-29 11:43:39	ga_s2am_ard_3-2-1_50KQB_2022-03-29_final
2022-03-29 11:43:46	ga_s2am_ard_3-2-1_51KUR_2022-03-29_final
2022-03-29 11:43:50	ga_s2am_ard_3-2-1_51KTR_2022-03-29_final
2022-03-29 11:43:53	ga_s2am_ard_3-2-1_50KQA_2022-03-29_final
2022-03-29 11:44:01	ga_s2am_ard_3-2-1_51KUQ_2022-03-29_final
2022-03-29 11:44:04	ga_s2am_ard_3-2-1_51KTQ_2022-03-29_final
2022-03-29 11:44:08	ga_s2am_ard_3-2-1_50KQV_2022-03-29_final
2022-03-29 11:44:12	ga_s2am_ard_3-2-1_50KPV_2022-03-29_final
2022-03-29 11:44:15	ga_s2am_ard_3-2-1_51KUP_2022-03-29_final
2022-03-29 11:44:19	ga_s2am_ard_3-2-1_51KTP_2022-03-29_final
2022-03-29 11:44:22	ga_s2am_ard_3-2-1_50KQU_2022-03-29_final
2022-03-29 11:44:26	ga_s2am_ard_3-2-1_50KPU_2022-03-29_final
2022-03-29 11:44:33	ga_s2am_ard_3-2-1_51JTN_2022-03-29_final
2022-03-29 11:44:37	ga_s2am_ard_3-2-1_50JQT_2022-03-29_final
2022-03-29 11:44:43	ga_s2am_ard_3-2-1_51JUM_2022-03-29_final
2022-03-29 11:44:48	ga_s2am_ard_3-2-1_51JTM_2022-03-29_final
2022-03-29 11:44:51	ga_s2am_ard_3-2-1_50JQS_2022-03-29_final
2022-03-29 11:44:54	ga_s2am_ard_3-2-1_51JUL_2022-03-29_final
2022-03-29 11:44:55	ga_s2am_ard_3-2-1_50JPS_2022-03-29_final
2022-03-29 11:45:09	ga_s2am_ard_3-2-1_50JPR_2022-03-29_final
2022-03-29 11:45:14	ga_s2am_ard_3-2-1_50JNR_2022-03-29_final
2022-03-29 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2022-03-29_final
2022-03-29 11:45:46	ga_s2am_ard_3-2-1_51JTH_2022-03-29_final
2022-03-29 11:45:49	ga_s2am_ard_3-2-1_50JQN_2022-03-29_final
2022-03-29 11:45:53	ga_s2am_ard_3-2-1_50JPN_2022-03-29_final
2022-03-29 11:45:56	ga_s2am_ard_3-2-1_50JNN_2022-03-29_final
2022-03-29 11:46:10	ga_s2am_ard_3-2-1_51JTF_2022-03-29_final
2022-03-29 11:46:25	ga_s2am_ard_3-2-1_50JNL_2022-03-29_final
2022-03-29 11:46:28	ga_s2am_ard_3-2-1_50JML_2022-03-29_final
2022-03-29 11:47:19	ga_s2am_ard_3-2-1_50HPG_2022-03-29_final.stac-item

Return to ga_s2am_ard_3 on 29th March 2022 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

2022

March

29th