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
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HLH_2016-03-03_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50HMJ_2016-03-03_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHQ_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_49KHR_2016-03-09_final.stac-item
2016-03-09 12:06:21	ga_s2am_ard_3-2-1_50KKA_2016-03-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHQ_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_49KHR_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KKA_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLA_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLB_2016-03-16_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50KLC_2016-03-16_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JNR_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPR_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPS_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQS_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQT_2016-03-20_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_49KHQ_2016-05-18_final.stac-item
2016-05-18 12:13:27	ga_s2am_ard_3-2-1_50KKA_2016-05-18_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHQ_2016-05-28_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_49KHR_2016-05-28_final.stac-item
2016-05-28 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-28_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHM_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHN_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKN_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLN_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLP_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JMT_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLB_2016-06-04_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLC_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_50HPK_2016-06-05_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JKM_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JKN_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLN_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JLP_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMN_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMP_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMQ_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JMT_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNL_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNR_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNS_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JNT_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JPR_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JPS_2016-06-11_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50JQT_2016-06-11_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHQ_2016-06-14_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_49KHR_2016-06-14_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_50KKA_2016-06-14_final.stac-item
2016-06-14 12:03:51	ga_s2am_ard_3-2-1_50KLA_2016-06-14_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HLH_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HMJ_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HNH_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPJ_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50HPK_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JNL_2016-06-18_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JKM_2016-06-21_final.stac-item
2016-06-21 11:56:09	ga_s2am_ard_3-2-1_50JNL_2016-06-21_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHQ_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_49KHR_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50JKM_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KKA_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLA_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLB_2016-06-24_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KLC_2016-06-24_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPJ_2016-06-25_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50HPK_2016-06-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JKN_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLN_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JLP_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JMN_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JMP_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50JMQ_2016-07-01_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JKN_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLN_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JLP_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMN_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMP_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMQ_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JMT_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNR_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNS_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNT_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JPR_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JPS_2016-07-21_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JQT_2016-07-21_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JPR_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JQS_2016-07-28_final.stac-item
2016-07-28 11:40:17	ga_s2am_ard_3-2-1_50JQT_2016-07-28_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HPK_2016-08-04_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_50HPJ_2016-08-24_final.stac-item
2022-11-24 11:44:34	ga_s2am_ard_3-2-1_50JQT_2022-11-24_final.stac-item
2022-11-24 11:44:48	ga_s2am_ard_3-2-1_50JQS_2022-11-24_final.stac-item
2022-11-24 11:44:52	ga_s2am_ard_3-2-1_50JPS_2022-11-24_final.stac-item
2022-11-24 11:45:06	ga_s2am_ard_3-2-1_50JPR_2022-11-24_final.stac-item
2022-11-24 11:45:11	ga_s2am_ard_3-2-1_50JNR_2022-11-24_final.stac-item
2022-11-24 11:46:22	ga_s2am_ard_3-2-1_50JNL_2022-11-24_final.stac-item
2022-11-24 11:46:33	ga_s2am_ard_3-2-1_50HPK_2022-11-24_final.stac-item
2022-11-24 11:46:47	ga_s2am_ard_3-2-1_50HPJ_2022-11-24_final.stac-item
2022-11-24 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-24_final.stac-item
2022-11-24 11:47:06	ga_s2am_ard_3-2-1_50HNH_2022-11-24_final.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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