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
2015-11-20 10:31:10	ga_s2am_ard_3-2-1_53KQA_2015-11-20_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HPJ_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_51HTC_2016-03-07_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_51HTD_2016-03-07_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HMH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HNH_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HPJ_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50HQH_2016-03-20_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_52LCH_2016-05-03_final.stac-item
2016-05-03 11:17:04	ga_s2am_ard_3-2-1_52LCJ_2016-05-03_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JPL_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JQM_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51HTE_2016-05-06_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_51JVF_2016-05-06_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KLU_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KNU_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KNV_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KPA_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KPU_2016-05-22_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQV_2016-05-22_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KED_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KFC_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KGB_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KGC_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KHB_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_52KHD_2016-05-27_final.stac-item
2016-05-27 11:02:16	ga_s2am_ard_3-2-1_53KKT_2016-05-27_final.stac-item
2016-07-13 10:52:20	ga_s2am_ard_3-2-1_52KGU_2016-07-13_final.stac-item
2016-07-13 10:52:20	ga_s2am_ard_3-2-1_52KHU_2016-07-13_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52KGC_2016-07-16_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_52KHD_2016-07-16_final.stac-item
2016-07-16 10:57:59	ga_s2am_ard_3-2-1_53KKT_2016-07-16_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HTC_2016-07-22_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HVC_2016-07-22_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HWD_2016-07-22_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51HXD_2016-07-22_final.stac-item
2016-07-24 12:04:46	ga_s2am_ard_3-2-1_50JLR_2016-07-24_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JFS_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JFT_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JGR_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JGS_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52JHT_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52KGU_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52KHU_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_52KHV_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53JKL_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53JKM_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53JLM_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53JLN_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53KKP_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53KLP_2016-08-12_final.stac-item
2016-08-12 10:48:11	ga_s2am_ard_3-2-1_53KLQ_2016-08-12_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_53HPE_2016-08-13_final.stac-item
2016-08-13 10:20:02	ga_s2am_ard_3-2-1_53HQE_2016-08-13_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGP_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KGQ_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHQ_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_49KHR_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKA_2016-08-26_final.stac-item
2016-08-26 12:13:22	ga_s2am_ard_3-2-1_50KKU_2016-08-26_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KXU_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KYU_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_51KZS_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_52KBD_2016-08-31_final.stac-item
2016-08-31 11:22:38	ga_s2am_ard_3-2-1_52KCD_2016-08-31_final.stac-item
2023-01-06 10:17:33	ga_s2am_ard_3-2-1_53HQU_2023-01-06_nrt.stac-item
2023-01-06 10:17:39	ga_s2am_ard_3-2-1_53HPU_2023-01-06_nrt.stac-item
2023-01-06 10:17:40	ga_s2am_ard_3-2-1_53HQT_2023-01-06_nrt.stac-item
2023-01-06 10:17:43	ga_s2am_ard_3-2-1_53HPT_2023-01-06_nrt.stac-item
2023-01-06 11:50:32	ga_s2am_ard_3-2-1_51LTJ_2023-01-06_nrt.stac-item
2023-01-06 11:50:34	ga_s2am_ard_3-2-1_50LRP_2023-01-06_nrt.stac-item
2023-01-06 11:50:37	ga_s2am_ard_3-2-1_50LQP_2023-01-06_nrt.stac-item
2023-01-06 11:50:47	ga_s2am_ard_3-2-1_51LTH_2023-01-06_nrt.stac-item
2023-01-06 11:50:48	ga_s2am_ard_3-2-1_50LRN_2023-01-06_nrt.stac-item
2023-01-06 11:50:51	ga_s2am_ard_3-2-1_50LQN_2023-01-06_nrt.stac-item
2023-01-06 11:51:01	ga_s2am_ard_3-2-1_51LTG_2023-01-06_nrt.stac-item
2023-01-06 11:51:03	ga_s2am_ard_3-2-1_50LRM_2023-01-06_nrt.stac-item
2023-01-06 11:51:16	ga_s2am_ard_3-2-1_51LTF_2023-01-06_nrt.stac-item
2023-01-06 11:51:17	ga_s2am_ard_3-2-1_50LRL_2023-01-06_nrt.stac-item
2023-01-06 11:51:30	ga_s2am_ard_3-2-1_51LTE_2023-01-06_nrt.stac-item
2023-01-06 11:51:32	ga_s2am_ard_3-2-1_50LRK_2023-01-06_nrt.stac-item
2023-01-06 11:51:46	ga_s2am_ard_3-2-1_50LRJ_2023-01-06_nrt.stac-item
2023-01-06 11:51:59	ga_s2am_ard_3-2-1_51LTC_2023-01-06_nrt.stac-item
2023-01-06 11:52:00	ga_s2am_ard_3-2-1_50LRH_2023-01-06_nrt.stac-item
2023-01-06 11:52:14	ga_s2am_ard_3-2-1_51KTB_2023-01-06_nrt.stac-item
2023-01-06 11:52:15	ga_s2am_ard_3-2-1_50KRG_2023-01-06_nrt.stac-item
2023-01-06 11:52:22	ga_s2am_ard_3-2-1_50KPG_2023-01-06_nrt.stac-item
2023-01-06 11:52:29	ga_s2am_ard_3-2-1_50KRF_2023-01-06_nrt.stac-item
2023-01-06 11:52:42	ga_s2am_ard_3-2-1_51KTV_2023-01-06_nrt.stac-item
2023-01-06 11:52:44	ga_s2am_ard_3-2-1_50KRE_2023-01-06_nrt.stac-item
2023-01-06 11:56:42	ga_s2am_ard_3-2-1_50HKK_2023-01-06_nrt.stac-item
2023-01-06 11:56:44	ga_s2am_ard_3-2-1_49HGE_2023-01-06_nrt.stac-item
2023-01-06 11:56:57	ga_s2am_ard_3-2-1_50HKJ_2023-01-06_nrt.stac-item
2023-01-06 11:56:59	ga_s2am_ard_3-2-1_49HGD_2023-01-06_nrt.stac-item
2023-01-06 11:57:11	ga_s2am_ard_3-2-1_50HKH_2023-01-06_nrt.stac-item
2023-01-06 11:57:13	ga_s2am_ard_3-2-1_49HGC_2023-01-06_nrt.stac-item
2023-01-06 11:57:21	ga_s2am_ard_3-2-1_49HFC_2023-01-06_nrt.stac-item
2023-01-06 11:57:24	ga_s2am_ard_3-2-1_49HGB_2023-01-06_nrt.stac-item
2023-01-06 11:57:27	ga_s2am_ard_3-2-1_49HFB_2023-01-06_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

Other products

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