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
2022-12-30 12:05:18	ga_s2am_ard_3-2-1_49JFL_2022-12-30_final.stac-item
2023-02-28 12:05:17	ga_s2am_ard_3-2-1_49JFL_2023-02-28_final.stac-item
2023-06-08 12:05:23	ga_s2am_ard_3-2-1_49JFL_2023-06-08_final.stac-item
2023-07-08 12:05:24	ga_s2am_ard_3-2-1_49JFL_2023-07-08_final.stac-item
2023-09-17 11:37:36	ga_s2am_ard_3-2-1_50HNF_2023-09-17_final.stac-item
2023-11-06 11:37:33	ga_s2am_ard_3-2-1_50HNF_2023-11-06_final.stac-item
2023-11-28 12:15:06	ga_s2am_ard_3-2-1_49JFL_2023-11-28_final.stac-item
2023-11-29 11:47:25	ga_s2am_ard_3-2-1_50HMF_2023-11-29_final.stac-item
2023-12-02 11:57:16	ga_s2am_ard_3-2-1_50HKG_2023-12-02_final.stac-item
2023-12-02 11:57:19	ga_s2am_ard_3-2-1_50HMF_2023-12-02_final.stac-item
2023-12-05 12:05:12	ga_s2am_ard_3-2-1_49JFL_2023-12-05_final.stac-item
2023-12-08 12:15:08	ga_s2am_ard_3-2-1_49JFL_2023-12-08_final.stac-item
2023-12-09 11:47:26	ga_s2am_ard_3-2-1_50HMF_2023-12-09_final.stac-item
2023-12-12 11:57:19	ga_s2am_ard_3-2-1_50HKG_2023-12-12_final.stac-item
2023-12-12 11:57:22	ga_s2am_ard_3-2-1_50HMF_2023-12-12_final.stac-item
2023-12-18 12:15:10	ga_s2am_ard_3-2-1_49JFL_2023-12-18_final.stac-item
2023-12-19 11:47:28	ga_s2am_ard_3-2-1_50HMF_2023-12-19_final.stac-item
2023-12-22 11:57:20	ga_s2am_ard_3-2-1_50HKG_2023-12-22_final.stac-item
2023-12-22 11:57:23	ga_s2am_ard_3-2-1_50HMF_2023-12-22_final.stac-item
2023-12-28 12:15:11	ga_s2am_ard_3-2-1_49JFL_2023-12-28_final.stac-item
2023-12-29 11:47:30	ga_s2am_ard_3-2-1_50HMF_2023-12-29_final.stac-item
2024-01-01 11:57:21	ga_s2am_ard_3-2-1_50HKG_2024-01-01_final.stac-item
2024-01-01 11:57:24	ga_s2am_ard_3-2-1_50HMF_2024-01-01_final.stac-item
2024-01-07 12:15:10	ga_s2am_ard_3-2-1_49JFL_2024-01-07_final.stac-item
2024-01-08 11:47:27	ga_s2am_ard_3-2-1_50HMF_2024-01-08_final.stac-item
2024-01-11 11:57:19	ga_s2am_ard_3-2-1_50HKG_2024-01-11_final.stac-item
2024-01-11 11:57:22	ga_s2am_ard_3-2-1_50HMF_2024-01-11_final.stac-item
2024-01-17 12:15:06	ga_s2am_ard_3-2-1_49JFL_2024-01-17_final.stac-item
2024-01-18 11:47:24	ga_s2am_ard_3-2-1_50HMF_2024-01-18_final.stac-item
2024-01-21 11:57:16	ga_s2am_ard_3-2-1_50HKG_2024-01-21_final.stac-item
2024-01-21 11:57:19	ga_s2am_ard_3-2-1_50HMF_2024-01-21_final.stac-item
2024-01-27 12:15:08	ga_s2am_ard_3-2-1_49JFL_2024-01-27_final.stac-item
2024-01-28 11:47:26	ga_s2am_ard_3-2-1_50HMF_2024-01-28_final.stac-item
2024-01-31 11:57:19	ga_s2am_ard_3-2-1_50HKG_2024-01-31_final.stac-item
2024-01-31 11:57:22	ga_s2am_ard_3-2-1_50HMF_2024-01-31_final.stac-item
2024-02-06 12:15:10	ga_s2am_ard_3-2-1_49JFL_2024-02-06_final.stac-item
2024-02-07 11:47:25	ga_s2am_ard_3-2-1_50HNF_2024-02-07_final.stac-item
2024-02-07 11:47:27	ga_s2am_ard_3-2-1_50HMF_2024-02-07_final.stac-item
2024-02-10 11:57:20	ga_s2am_ard_3-2-1_50HKG_2024-02-10_final.stac-item
2024-02-10 11:57:23	ga_s2am_ard_3-2-1_50HMF_2024-02-10_final.stac-item
2024-02-16 12:15:12	ga_s2am_ard_3-2-1_49JFL_2024-02-16_final.stac-item
2024-02-17 11:47:27	ga_s2am_ard_3-2-1_50HNF_2024-02-17_final.stac-item
2024-02-17 11:47:29	ga_s2am_ard_3-2-1_50HMF_2024-02-17_final.stac-item
2024-02-20 11:57:22	ga_s2am_ard_3-2-1_50HKG_2024-02-20_final.stac-item
2024-02-20 11:57:25	ga_s2am_ard_3-2-1_50HMF_2024-02-20_final.stac-item
2024-02-26 12:15:13	ga_s2am_ard_3-2-1_49JFL_2024-02-26_final.stac-item
2024-02-27 11:47:29	ga_s2am_ard_3-2-1_50HNF_2024-02-27_final.stac-item
2024-02-27 11:47:31	ga_s2am_ard_3-2-1_50HMF_2024-02-27_final.stac-item
2024-03-01 11:57:24	ga_s2am_ard_3-2-1_50HKG_2024-03-01_final.stac-item
2024-03-01 11:57:27	ga_s2am_ard_3-2-1_50HMF_2024-03-01_final.stac-item
2024-03-07 12:15:14	ga_s2am_ard_3-2-1_49JFL_2024-03-07_final.stac-item
2024-03-08 11:47:30	ga_s2am_ard_3-2-1_50HNF_2024-03-08_final.stac-item
2024-03-08 11:47:32	ga_s2am_ard_3-2-1_50HMF_2024-03-08_final.stac-item
2024-03-11 11:57:24	ga_s2am_ard_3-2-1_50HKG_2024-03-11_final.stac-item
2024-03-11 11:57:27	ga_s2am_ard_3-2-1_50HMF_2024-03-11_final.stac-item
2024-03-17 12:15:14	ga_s2am_ard_3-2-1_49JFL_2024-03-17_final.stac-item
2024-03-18 11:47:30	ga_s2am_ard_3-2-1_50HNF_2024-03-18_final.stac-item
2024-03-18 11:47:32	ga_s2am_ard_3-2-1_50HMF_2024-03-18_final.stac-item
2024-03-21 11:57:25	ga_s2am_ard_3-2-1_50HKG_2024-03-21_final.stac-item
2024-03-21 11:57:28	ga_s2am_ard_3-2-1_50HMF_2024-03-21_final.stac-item
2024-03-27 12:13:40	ga_s2am_ard_3-2-1_49KHS_2024-03-27_final.stac-item
2024-03-27 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-27_final.stac-item
2024-03-27 12:14:09	ga_s2am_ard_3-2-1_49KHQ_2024-03-27_final.stac-item
2024-03-27 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2024-03-27_final.stac-item
2024-03-27 12:14:27	ga_s2am_ard_3-2-1_49KGP_2024-03-27_final.stac-item
2024-03-27 12:14:31	ga_s2am_ard_3-2-1_49JHN_2024-03-27_final.stac-item
2024-03-27 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-27_final.stac-item
2024-03-27 12:15:11	ga_s2am_ard_3-2-1_49JGL_2024-03-27_final.stac-item
2024-03-27 12:15:14	ga_s2am_ard_3-2-1_49JFL_2024-03-27_final.stac-item
2024-03-27 12:15:19	ga_s2am_ard_3-2-1_49JGK_2024-03-27_final.stac-item
2024-03-28 11:46:13	ga_s2am_ard_3-2-1_50JMM_2024-03-28_final.stac-item
2024-03-28 11:46:26	ga_s2am_ard_3-2-1_50JML_2024-03-28_final.stac-item
2024-03-28 11:46:41	ga_s2am_ard_3-2-1_50HMK_2024-03-28_final.stac-item
2024-03-28 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2024-03-28_final.stac-item
2024-03-28 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2024-03-28_final.stac-item
2024-03-28 11:47:07	ga_s2am_ard_3-2-1_50HNH_2024-03-28_final.stac-item
2024-03-28 11:47:14	ga_s2am_ard_3-2-1_50HLH_2024-03-28_final.stac-item
2024-03-28 11:47:21	ga_s2am_ard_3-2-1_50HNG_2024-03-28_final.stac-item
2024-03-28 11:47:30	ga_s2am_ard_3-2-1_50HNF_2024-03-28_final.stac-item
2024-03-28 11:47:32	ga_s2am_ard_3-2-1_50HMF_2024-03-28_final.stac-item
2024-03-31 11:54:40	ga_s2am_ard_3-2-1_50JMT_2024-03-31_final.stac-item
2024-03-31 11:56:10	ga_s2am_ard_3-2-1_50JLM_2024-03-31_final.stac-item
2024-03-31 11:56:17	ga_s2am_ard_3-2-1_50JNL_2024-03-31_final.stac-item
2024-03-31 11:56:21	ga_s2am_ard_3-2-1_50JML_2024-03-31_final.stac-item
2024-03-31 11:56:25	ga_s2am_ard_3-2-1_50JLL_2024-03-31_final.stac-item
2024-03-31 11:56:36	ga_s2am_ard_3-2-1_50HMK_2024-03-31_final.stac-item
2024-03-31 11:56:39	ga_s2am_ard_3-2-1_50HLK_2024-03-31_final.stac-item
2024-03-31 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2024-03-31_final.stac-item
2024-03-31 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2024-03-31_final.stac-item
2024-03-31 11:57:08	ga_s2am_ard_3-2-1_50HLH_2024-03-31_final.stac-item
2024-03-31 11:57:23	ga_s2am_ard_3-2-1_50HKG_2024-03-31_final.stac-item
2024-03-31 11:57:26	ga_s2am_ard_3-2-1_50HMF_2024-03-31_final.stac-item
2024-04-16 12:13:28	ga_s2am_ard_3-2-1_49KFU_2024-04-16_nrt.stac-item
2024-04-16 12:13:31	ga_s2am_ard_3-2-1_49KHT_2024-04-16_nrt.stac-item
2024-04-16 12:13:36	ga_s2am_ard_3-2-1_49KFT_2024-04-16_nrt.stac-item
2024-04-16 12:13:50	ga_s2am_ard_3-2-1_49KFS_2024-04-16_nrt.stac-item
2024-04-16 12:14:04	ga_s2am_ard_3-2-1_49KFR_2024-04-16_nrt.stac-item
2024-04-16 12:14:19	ga_s2am_ard_3-2-1_49KFQ_2024-04-16_nrt.stac-item
2024-04-16 12:14:33	ga_s2am_ard_3-2-1_49KFP_2024-04-16_nrt.stac-item
2024-04-16 12:15:17	ga_s2am_ard_3-2-1_49JFL_2024-04-16_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

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