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
2023-02-11 12:13:57	ga_s2am_ard_3-2-1_49KGR_2023-02-11_final.stac-item
2023-02-11 12:14:06	ga_s2am_ard_3-2-1_50KKV_2023-02-11_final.stac-item
2023-02-11 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2023-02-11_final.stac-item
2023-02-11 12:14:17	ga_s2am_ard_3-2-1_50KKU_2023-02-11_final.stac-item
2023-02-11 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-02-11_final.stac-item
2023-02-11 12:14:29	ga_s2am_ard_3-2-1_49JHN_2023-02-11_final.stac-item
2023-02-11 12:14:40	ga_s2am_ard_3-2-1_49JGN_2023-02-11_final.stac-item
2023-02-11 12:14:44	ga_s2am_ard_3-2-1_49JFN_2023-02-11_final.stac-item
2023-02-11 12:14:54	ga_s2am_ard_3-2-1_49JGM_2023-02-11_final.stac-item
2023-02-11 12:14:58	ga_s2am_ard_3-2-1_49JFM_2023-02-11_final.stac-item
2023-02-11 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-02-11_final.stac-item
2023-02-12 11:43:49	ga_s2am_ard_3-2-1_50KQA_2023-02-12_final.stac-item
2023-02-12 11:44:51	ga_s2am_ard_3-2-1_50JPS_2023-02-12_final.stac-item
2023-02-12 11:45:23	ga_s2am_ard_3-2-1_50JNQ_2023-02-12_final.stac-item
2023-02-12 11:45:37	ga_s2am_ard_3-2-1_50JNP_2023-02-12_final.stac-item
2023-02-12 11:45:45	ga_s2am_ard_3-2-1_50JQN_2023-02-12_final.stac-item
2023-02-12 11:46:03	ga_s2am_ard_3-2-1_50JPM_2023-02-12_final.stac-item
2023-02-12 11:46:12	ga_s2am_ard_3-2-1_50JPL_2023-02-12_final.stac-item
2023-02-12 11:46:15	ga_s2am_ard_3-2-1_50JMM_2023-02-12_final.stac-item
2023-02-12 11:46:15	ga_s2am_ard_3-2-1_50JML_2023-02-12_final.stac-item
2023-02-12 11:46:21	ga_s2am_ard_3-2-1_50JNL_2023-02-12_final.stac-item
2023-02-12 11:46:41	ga_s2am_ard_3-2-1_50HQJ_2023-02-12_final.stac-item
2023-02-12 11:46:54	ga_s2am_ard_3-2-1_50HMJ_2023-02-12_final.stac-item
2023-02-12 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-02-12_final.stac-item
2023-02-12 11:47:05	ga_s2am_ard_3-2-1_50HNH_2023-02-12_final.stac-item
2023-02-12 11:47:12	ga_s2am_ard_3-2-1_50HLH_2023-02-12_final.stac-item
2023-02-15 11:53:18	ga_s2am_ard_3-2-1_50KPC_2023-02-15_final.stac-item
2023-02-15 11:53:28	ga_s2am_ard_3-2-1_50KMC_2023-02-15_final.stac-item
2023-02-15 11:53:33	ga_s2am_ard_3-2-1_50KPB_2023-02-15_final.stac-item
2023-02-15 11:53:44	ga_s2am_ard_3-2-1_50KQA_2023-02-15_final.stac-item
2023-02-15 11:53:58	ga_s2am_ard_3-2-1_50KQV_2023-02-15_final.stac-item
2023-02-15 11:54:02	ga_s2am_ard_3-2-1_50KPV_2023-02-15_final.stac-item
2023-02-15 11:54:05	ga_s2am_ard_3-2-1_50KNV_2023-02-15_final.stac-item
2023-02-15 11:54:20	ga_s2am_ard_3-2-1_50JQT_2023-02-15_final.stac-item
2023-02-15 11:54:23	ga_s2am_ard_3-2-1_50KMU_2023-02-15_final.stac-item
2023-02-15 11:54:30	ga_s2am_ard_3-2-1_50KLU_2023-02-15_final.stac-item
2023-02-15 11:54:44	ga_s2am_ard_3-2-1_50JPS_2023-02-15_final.stac-item
2023-02-15 11:54:51	ga_s2am_ard_3-2-1_50JPR_2023-02-15_final.stac-item
2023-02-15 11:55:10	ga_s2am_ard_3-2-1_50JLR_2023-02-15_final.stac-item
2023-02-15 11:55:18	ga_s2am_ard_3-2-1_50JNQ_2023-02-15_final.stac-item
2023-02-15 11:55:24	ga_s2am_ard_3-2-1_50JLQ_2023-02-15_final.stac-item
2023-02-15 11:56:05	ga_s2am_ard_3-2-1_50JMM_2023-02-15_final.stac-item
2023-02-15 11:56:48	ga_s2am_ard_3-2-1_50HMJ_2023-02-15_final.stac-item
2023-02-15 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-15_final.stac-item
2023-02-15 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-02-15_final.stac-item
2023-02-15 11:57:06	ga_s2am_ard_3-2-1_50HLH_2023-02-15_final.stac-item
2023-02-18 12:03:20	ga_s2am_ard_3-2-1_50KMC_2023-02-18_final.stac-item
2023-02-18 12:03:30	ga_s2am_ard_3-2-1_50KNB_2023-02-18_final.stac-item
2023-02-18 12:03:56	ga_s2am_ard_3-2-1_49KHR_2023-02-18_final.stac-item
2023-02-18 12:04:07	ga_s2am_ard_3-2-1_50KLV_2023-02-18_final.stac-item
2023-02-18 12:04:10	ga_s2am_ard_3-2-1_50KKV_2023-02-18_final.stac-item
2023-02-18 12:04:10	ga_s2am_ard_3-2-1_49KHQ_2023-02-18_final.stac-item
2023-02-18 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2023-02-18_final.stac-item
2023-02-18 12:04:18	ga_s2am_ard_3-2-1_50KMU_2023-02-18_final.stac-item
2023-02-18 12:04:21	ga_s2am_ard_3-2-1_50KLU_2023-02-18_final.stac-item
2023-02-18 12:04:25	ga_s2am_ard_3-2-1_49KHP_2023-02-18_final.stac-item
2023-02-18 12:04:28	ga_s2am_ard_3-2-1_49KGP_2023-02-18_final.stac-item
2023-02-18 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-02-18_final.stac-item
2023-02-18 12:04:43	ga_s2am_ard_3-2-1_49JGN_2023-02-18_final.stac-item
2023-02-18 12:04:53	ga_s2am_ard_3-2-1_49JHM_2023-02-18_final.stac-item
2023-02-18 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-02-18_final.stac-item
2023-02-18 12:05:05	ga_s2am_ard_3-2-1_50JLR_2023-02-18_final.stac-item
2023-02-18 12:05:09	ga_s2am_ard_3-2-1_49JGL_2023-02-18_final.stac-item
2023-02-18 12:05:12	ga_s2am_ard_3-2-1_50JLR_2023-02-18_final.stac-item
2023-02-18 12:05:12	ga_s2am_ard_3-2-1_50JLQ_2023-02-18_final.stac-item
2023-02-18 12:05:15	ga_s2am_ard_3-2-1_49JGL_2023-02-18_final.stac-item
2023-02-18 12:05:19	ga_s2am_ard_3-2-1_50JLQ_2023-02-18_final.stac-item
2023-02-18 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-02-18_final.stac-item
2023-02-18 12:05:41	ga_s2am_ard_3-2-1_49JGJ_2023-02-18_final.stac-item
2023-02-19 11:35:47	ga_s2am_ard_3-2-1_50JQN_2023-02-19_final.stac-item
2023-02-19 11:36:02	ga_s2am_ard_3-2-1_50JQM_2023-02-19_final.stac-item
2023-02-19 11:36:31	ga_s2am_ard_3-2-1_50HQK_2023-02-19_final.stac-item
2023-02-19 11:36:45	ga_s2am_ard_3-2-1_50HQJ_2023-02-19_final.stac-item
2023-02-19 11:37:04	ga_s2am_ard_3-2-1_50HPH_2023-02-19_final.stac-item
2023-02-21 12:14:18	ga_s2am_ard_3-2-1_49KHP_2023-02-21_final.stac-item
2023-02-21 12:14:24	ga_s2am_ard_3-2-1_49KGP_2023-02-21_final.stac-item
2023-02-21 12:14:39	ga_s2am_ard_3-2-1_49JGN_2023-02-21_final.stac-item
2023-02-21 12:14:43	ga_s2am_ard_3-2-1_49JFN_2023-02-21_final.stac-item
2023-02-21 12:14:49	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final.stac-item
2023-02-21 12:14:50	ga_s2am_ard_3-2-1_49JFM_2023-02-21_final.stac-item
2023-02-21 12:14:55	ga_s2am_ard_3-2-1_49JGM_2023-02-21_final.stac-item
2023-02-21 12:15:17	ga_s2am_ard_3-2-1_49JGK_2023-02-21_final.stac-item
2023-02-22 11:43:45	ga_s2am_ard_3-2-1_50KRA_2023-02-22_final.stac-item
2023-02-22 11:43:48	ga_s2am_ard_3-2-1_50KQA_2023-02-22_final.stac-item
2023-02-22 11:44:08	ga_s2am_ard_3-2-1_50KPV_2023-02-22_final.stac-item
2023-02-22 11:44:32	ga_s2am_ard_3-2-1_50JQT_2023-02-22_final.stac-item
2023-02-22 11:44:46	ga_s2am_ard_3-2-1_50JQS_2023-02-22_final.stac-item
2023-02-22 11:44:50	ga_s2am_ard_3-2-1_50JPS_2023-02-22_final.stac-item
2023-02-22 11:45:03	ga_s2am_ard_3-2-1_50JPR_2023-02-22_final.stac-item
2023-02-22 11:45:09	ga_s2am_ard_3-2-1_50JPR_2023-02-22_final.stac-item
2023-02-22 11:45:44	ga_s2am_ard_3-2-1_50JQN_2023-02-22_final.stac-item
2023-02-22 11:45:48	ga_s2am_ard_3-2-1_50JPN_2023-02-22_final.stac-item
2023-02-22 11:45:58	ga_s2am_ard_3-2-1_50JQM_2023-02-22_final.stac-item
2023-02-22 11:46:10	ga_s2am_ard_3-2-1_50JMM_2023-02-22_final.stac-item
2023-02-22 11:46:20	ga_s2am_ard_3-2-1_50JNL_2023-02-22_final.stac-item
2023-02-22 11:46:23	ga_s2am_ard_3-2-1_50JML_2023-02-22_final.stac-item
2023-02-22 11:46:27	ga_s2am_ard_3-2-1_50HQK_2023-02-22_final.stac-item
2023-02-22 11:46:38	ga_s2am_ard_3-2-1_50HMK_2023-02-22_final.stac-item
2023-02-22 11:46:40	ga_s2am_ard_3-2-1_50HQJ_2023-02-22_final.stac-item
2023-02-22 11:47:00	ga_s2am_ard_3-2-1_50HPH_2023-02-22_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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