Search ga_s2am_ard_3 across March 2016

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
2016-03-02 10:37:34	ga_s2am_ard_3-2-1_53LPG_2016-03-02_final.stac-item
2016-03-02 10:37:34	ga_s2am_ard_3-2-1_53JNM_2016-03-02_final.stac-item
2016-03-02 10:37:34	ga_s2am_ard_3-2-1_53LQG_2016-03-02_final.stac-item
2016-03-02 10:37:34	ga_s2am_ard_3-2-1_53LPH_2016-03-02_final.stac-item
2016-03-02 10:37:34	ga_s2am_ard_3-2-1_53KQT_2016-03-02_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JMG_2016-03-02_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JNJ_2016-03-02_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JMJ_2016-03-02_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JNM_2016-03-02_final.stac-item
2016-03-02 10:44:00	ga_s2am_ard_3-2-1_53JMM_2016-03-02_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50KMC_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNP_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JMS_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNS_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JMP_2016-03-03_final.stac-item
2016-03-05 10:52:12	ga_s2am_ard_3-2-1_53KKT_2016-03-05_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_53HQC_2016-03-06_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_54HTH_2016-03-06_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_54JWS_2016-03-06_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_54JVS_2016-03-06_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_54JVP_2016-03-06_final.stac-item
2016-03-06 10:20:55	ga_s2am_ard_3-2-1_54KWC_2016-03-06_final.stac-item
2016-03-07 09:47:33	ga_s2am_ard_3-2-1_55KET_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HTC_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JVJ_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HQH_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JWM_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51JVM_2016-03-07_final.stac-item
2016-03-08 09:22:40	ga_s2am_ard_3-2-1_56JNP_2016-03-07_final.stac-item
2016-03-08 09:22:40	ga_s2am_ard_3-2-1_56JMP_2016-03-07_final.stac-item
2016-03-10 10:00:28	ga_s2am_ard_3-2-1_55JDM_2016-03-10_final.stac-item
2016-03-10 10:00:28	ga_s2am_ard_3-2-1_55KET_2016-03-10_final.stac-item
2016-03-10 10:00:28	ga_s2am_ard_3-2-1_55KBT_2016-03-10_final.stac-item
2016-03-10 10:05:24	ga_s2am_ard_3-2-1_55HBC_2016-03-10_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LHM_2016-03-11_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LGM_2016-03-11_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LGN_2016-03-11_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LHN_2016-03-11_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LFM_2016-03-11_final.stac-item
2016-03-11 11:07:04	ga_s2am_ard_3-2-1_52LHL_2016-03-11_final.stac-item
2016-03-11 11:12:21	ga_s2am_ard_3-2-1_52JDS_2016-03-11_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55HGC_2016-03-14_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55JEJ_2016-03-14_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55JDG_2016-03-14_final.stac-item
2016-03-14 09:42:09	ga_s2am_ard_3-2-1_55JGM_2016-03-14_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52JEM_2016-03-15_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_53LPG_2016-03-15_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_52JEP_2016-03-15_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_53LQG_2016-03-15_final.stac-item
2016-03-15 10:47:26	ga_s2am_ard_3-2-1_53LPH_2016-03-15_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMS_2016-03-16_final.stac-item
2016-03-18 09:22:41	ga_s2am_ard_3-2-1_56JNP_2016-03-17_final.stac-item
2016-03-18 09:22:41	ga_s2am_ard_3-2-1_56JMP_2016-03-17_final.stac-item
2016-03-18 11:00:37	ga_s2am_ard_3-2-1_52LHM_2016-03-18_final.stac-item
2016-03-18 11:00:37	ga_s2am_ard_3-2-1_53LKG_2016-03-18_final.stac-item
2016-03-18 11:00:37	ga_s2am_ard_3-2-1_53LLG_2016-03-18_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNP_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_51KTT_2016-03-20_final.stac-item
2016-03-21 09:32:15	ga_s2am_ard_3-2-1_56JMS_2016-03-21_final.stac-item
2016-03-21 09:32:15	ga_s2am_ard_3-2-1_56JNS_2016-03-21_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54LZN_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JWS_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVS_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JWP_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54LZM_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54JVP_2016-03-23_final.stac-item
2016-03-23 10:08:30	ga_s2am_ard_3-2-1_54LZH_2016-03-23_final.stac-item
2016-03-23 10:15:14	ga_s2am_ard_3-2-1_54HVF_2016-03-23_final.stac-item
2016-03-23 10:15:14	ga_s2am_ard_3-2-1_54HTH_2016-03-23_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JVJ_2016-03-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JWM_2016-03-24_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JWJ_2016-03-24_final.stac-item
2016-03-25 10:52:14	ga_s2am_ard_3-2-1_53KKT_2016-03-25_final.stac-item
2016-03-27 09:49:02	ga_s2am_ard_3-2-1_55JEM_2016-03-27_final.stac-item
2016-03-27 09:49:02	ga_s2am_ard_3-2-1_55JDM_2016-03-27_final.stac-item
2016-03-27 09:49:02	ga_s2am_ard_3-2-1_55JDJ_2016-03-27_final.stac-item
2016-03-27 09:49:02	ga_s2am_ard_3-2-1_55JEJ_2016-03-27_final.stac-item
2016-03-27 09:49:02	ga_s2am_ard_3-2-1_55KET_2016-03-27_final.stac-item
2016-03-27 09:55:10	ga_s2am_ard_3-2-1_55HBC_2016-03-27_final.stac-item
2016-03-27 09:55:10	ga_s2am_ard_3-2-1_55HDA_2016-03-27_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_52LHM_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_52LGM_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_53LKG_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_52LGN_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_53LKH_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_53LLG_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_52LHN_2016-03-28_final.stac-item
2016-03-28 10:57:16	ga_s2am_ard_3-2-1_53LLH_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JEM_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDP_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JEP_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JES_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDS_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52JDM_2016-03-28_final.stac-item
2016-03-28 11:01:10	ga_s2am_ard_3-2-1_52LHH_2016-03-28_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53JMG_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53JNJ_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_54LXM_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53JMJ_2016-03-29_final.stac-item
2016-03-29 10:28:49	ga_s2am_ard_3-2-1_53JNM_2016-03-29_final.stac-item

Return to ga_s2am_ard_3 across March 2016 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

2016

March

All days