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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KNC_2015-10-28_final.stac-item
2015-11-18 11:36:00	ga_s2am_ard_3-2-1_51JTG_2015-11-18_final.stac-item
2016-01-11 11:17:17	ga_s2am_ard_3-2-1_51HXD_2016-01-11_final.stac-item
2016-04-15 11:55:08	ga_s2am_ard_3-2-1_49KHP_2016-04-15_final.stac-item
2016-09-22 12:03:42	ga_s2am_ard_3-2-1_50KLV_2016-09-22_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HLH_2016-10-26_final.stac-item
2016-12-28 11:45:05	ga_s2am_ard_3-2-1_50JLN_2016-12-28_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KLB_2017-01-30_final
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_50JKR_2017-02-09_final
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_51HTC_2017-03-12_final
2017-04-07 11:56:31	ga_s2am_ard_3-2-1_50HLJ_2017-04-07_final
2017-04-20 12:02:50	ga_s2am_ard_3-2-1_49KHR_2017-04-20_final.stac-item
2017-05-10 12:02:52	ga_s2am_ard_3-2-1_50JKT_2017-05-10_final
2017-06-20 11:34:58	ga_s2am_ard_3-2-1_50JPL_2017-06-20_final
2017-07-24 11:12:03	ga_s2am_ard_3-2-1_51HWC_2017-07-24_final.stac-item
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKU_2017-10-07_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51JYM_2017-11-01_final
2017-11-06 12:02:48	ga_s2am_ard_3-2-1_50JKN_2017-11-06_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_51HTC_2017-11-27_final
2018-02-08 11:45:59	ga_s2am_ard_3-2-1_50HNJ_2018-02-08_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JNM_2018-03-23_final
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50HLJ_2018-05-02_final
2018-06-11 11:48:18	ga_s2am_ard_3-2-1_50KPC_2018-06-11_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50JLQ_2018-06-11_final
2019-01-10 12:04:56	ga_s2am_ard_3-2-1_49JGM_2019-01-10_final
2019-02-07 11:24:34	ga_s2am_ard_3-2-1_51JYM_2019-02-07_final
2019-02-07 11:25:10	ga_s2am_ard_3-2-1_51JWK_2019-02-07_final
2019-04-20 12:05:58	ga_s2am_ard_3-2-1_50JKN_2019-04-20_final
2019-05-04 11:46:23	ga_s2am_ard_3-2-1_50JPL_2019-05-04_final
2019-06-13 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2019-06-13_final
2019-08-15 11:56:21	ga_s2am_ard_3-2-1_50JNL_2019-08-15_final
2019-10-01 11:47:04	ga_s2am_ard_3-2-1_50HPH_2019-10-01_final
2019-10-08 11:34:18	ga_s2am_ard_3-2-1_51JXN_2019-10-08_final
2019-10-31 11:46:26	ga_s2am_ard_3-2-1_50JNL_2019-10-31_final
2019-11-26 12:05:01	ga_s2am_ard_3-2-1_49JGM_2019-11-26_final
2019-12-20 11:46:17	ga_s2am_ard_3-2-1_50JNL_2019-12-20_final
2020-01-05 12:03:54	ga_s2am_ard_3-2-1_49KHR_2020-01-05_final
2020-01-18 12:13:48	ga_s2am_ard_3-2-1_49KHR_2020-01-18_final
2020-01-25 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2020-01-25_final
2020-02-02 11:24:21	ga_s2am_ard_3-2-1_51JWN_2020-02-02_final
2020-03-16 11:36:24	ga_s2am_ard_3-2-1_51HUE_2020-03-16_final
2020-04-27 12:14:00	ga_s2am_ard_3-2-1_49KGR_2020-04-27_final
2020-05-28 11:46:40	ga_s2am_ard_3-2-1_50HPK_2020-05-28_final
2020-07-07 11:46:56	ga_s2am_ard_3-2-1_50HNJ_2020-07-07_final
2020-09-04 12:15:00	ga_s2am_ard_3-2-1_49JGM_2020-09-04_final
2020-09-12 11:36:50	ga_s2am_ard_3-2-1_51HTD_2020-09-12_final
2020-10-28 11:53:30	ga_s2am_ard_3-2-1_50KNC_2020-10-28_final
2020-10-29 11:26:37	ga_s2am_ard_3-2-1_51HUE_2020-10-29_final
2020-11-10 12:05:30	ga_s2am_ard_3-2-1_50JKQ_2020-11-10_final
2020-11-17 11:56:17	ga_s2am_ard_3-2-1_50JKM_2020-11-17_final
2020-12-14 11:43:19	ga_s2am_ard_3-2-1_50KQC_2020-12-14_final
2021-01-19 12:03:24	ga_s2am_ard_3-2-1_50KMC_2021-01-19_final
2021-02-08 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-08_final
2021-03-11 11:36:26	ga_s2am_ard_3-2-1_50JPL_2021-03-11_final
2021-04-22 12:14:55	ga_s2am_ard_3-2-1_49JFM_2021-04-22_final
2021-05-12 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-05-12_final
2021-06-02 11:47:18	ga_s2am_ard_3-2-1_50HPG_2021-06-02_final.stac-item
2021-07-22 11:43:22	ga_s2am_ard_3-2-1_50KRC_2021-07-22_final
2021-07-22 11:44:19	ga_s2am_ard_3-2-1_50KRU_2021-07-22_final
2021-07-28 12:03:47	ga_s2am_ard_3-2-1_50KKB_2021-07-28_final
2021-09-30 11:43:23	ga_s2am_ard_3-2-1_50KRC_2021-09-30_final
2021-10-03 11:56:57	ga_s2am_ard_3-2-1_50HLJ_2021-10-03_final
2021-10-30 11:45:51	ga_s2am_ard_3-2-1_50JQN_2021-10-30_final
2021-12-03 11:26:32	ga_s2am_ard_3-2-1_51HUE_2021-12-03_final
2021-12-25 12:03:25	ga_s2am_ard_3-2-1_50KMC_2021-12-25_final
2022-02-17 11:45:51	ga_s2am_ard_3-2-1_50JPN_2022-02-17_final
2022-02-21 11:26:49	ga_s2am_ard_3-2-1_51HUD_2022-02-21_final
2022-05-07 12:14:46	ga_s2am_ard_3-2-1_49JGN_2022-05-07_final
2022-06-01 11:25:42	ga_s2am_ard_3-2-1_51JYH_2022-06-01_final
2022-06-17 11:46:37	ga_s2am_ard_3-2-1_50JML_2022-06-17_final
2022-07-24 11:35:52	ga_s2am_ard_3-2-1_51JVH_2022-07-24_final
2022-08-16 11:45:09	ga_s2am_ard_3-2-1_51JTL_2022-08-16_final
2022-09-11 12:04:42	ga_s2am_ard_3-2-1_49KGP_2022-09-11_final.stac-item
2022-09-18 11:56:05	ga_s2am_ard_3-2-1_50JLN_2022-09-18_final.stac-item
2022-09-25 11:46:30	ga_s2am_ard_3-2-1_50JNL_2022-09-25_final.stac-item
2022-10-05 11:46:01	ga_s2am_ard_3-2-1_50JNN_2022-10-05_final.stac-item
2022-11-05 11:16:12	ga_s2am_ard_3-2-1_51JYF_2022-11-05_final.stac-item
2022-11-07 11:56:55	ga_s2am_ard_3-2-1_50HMJ_2022-11-07_final.stac-item
2022-12-01 11:34:36	ga_s2am_ard_3-2-1_51JTN_2022-12-01_final.stac-item
2022-12-08 11:26:06	ga_s2am_ard_3-2-1_51JUG_2022-12-08_final.stac-item
2022-12-21 11:34:38	ga_s2am_ard_3-2-1_51JWM_2022-12-21_final.stac-item
2023-01-06 11:53:20	ga_s2am_ard_3-2-1_50KPC_2023-01-06_final.stac-item
2023-02-18 12:04:39	ga_s2am_ard_3-2-1_49JHN_2023-02-18_final.stac-item
2023-04-07 11:26:44	ga_s2am_ard_3-2-1_51HVD_2023-04-07_final.stac-item
2023-04-26 11:56:18	ga_s2am_ard_3-2-1_50JNL_2023-04-26_final.stac-item
2023-04-26 11:57:09	ga_s2am_ard_3-2-1_50HLH_2023-04-26_final.stac-item
2023-06-28 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-28_final.stac-item
2023-06-29 11:35:49	ga_s2am_ard_3-2-1_51JUH_2023-06-29_final.stac-item
2023-07-08 12:03:46	ga_s2am_ard_3-2-1_50KLB_2023-07-08_final.stac-item
2023-07-08 12:04:12	ga_s2am_ard_3-2-1_50KMV_2023-07-08_final.stac-item
2023-07-26 11:25:18	ga_s2am_ard_3-2-1_51JWK_2023-07-26_final.stac-item
2023-11-18 12:14:25	ga_s2am_ard_3-2-1_49KGP_2023-11-18_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2023-12-13 11:26:13	ga_s2am_ard_3-2-1_51JUF_2023-12-13_final.stac-item
2024-01-24 12:05:49	ga_s2am_ard_3-2-1_50JKN_2024-01-24_final.stac-item
2024-02-03 12:03:37	ga_s2am_ard_3-2-1_50KLB_2024-02-03_final.stac-item
2024-02-10 11:52:30	ga_s2am_ard_3-2-1_50KQF_2024-02-10_final.stac-item
2024-04-07 11:47:19	ga_s2am_ard_3-2-1_50HNG_2024-04-07_final.stac-item
2024-04-16 12:14:15	ga_s2am_ard_3-2-1_49KGQ_2024-04-16_final.stac-item
2024-05-06 12:13:57	ga_s2am_ard_3-2-1_49KHR_2024-05-06_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

Other products

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