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
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-18_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JML_2016-01-20_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HPK_2016-04-19_final.stac-item
2016-05-28 12:14:47	ga_s2am_ard_3-2-1_49JGM_2016-05-28_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPK_2016-05-29_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KQD_2016-08-10_final.stac-item
2016-08-16 12:13:46	ga_s2am_ard_3-2-1_50KKA_2016-08-16_final.stac-item
2016-09-05 12:14:41	ga_s2am_ard_3-2-1_49JGL_2016-09-05_final.stac-item
2016-10-15 12:13:39	ga_s2am_ard_3-2-1_50KKA_2016-10-15_final.stac-item
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JUF_2017-06-27_final
2017-11-01 11:12:01	ga_s2am_ard_3-2-1_51HWC_2017-11-01_final.stac-item
2017-11-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-11-19_final
2018-02-07 12:13:40	ga_s2am_ard_3-2-1_50KKA_2018-02-07_final
2018-05-12 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-05-12_final.stac-item
2018-05-12 11:53:46	ga_s2am_ard_3-2-1_50JKN_2018-05-12_final
2018-07-28 11:40:21	ga_s2am_ard_3-2-1_51KUT_2018-07-28_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWK_2018-09-30_final
2018-10-17 11:12:52	ga_s2am_ard_3-2-1_51HYD_2018-10-17_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51KVB_2018-10-23_final
2018-11-12 11:33:11	ga_s2am_ard_3-2-1_51KVT_2018-11-12_final
2018-11-15 11:43:13	ga_s2am_ard_3-2-1_51KUT_2018-11-15_final
2018-12-02 11:33:07	ga_s2am_ard_3-2-1_51KVT_2018-12-02_final
2018-12-12 11:33:08	ga_s2am_ard_3-2-1_51KVT_2018-12-12_final
2018-12-12 11:33:37	ga_s2am_ard_3-2-1_51KVR_2018-12-12_final
2019-03-05 11:47:15	ga_s2am_ard_3-2-1_50HNG_2019-03-05_final.stac-item
2019-03-09 11:23:52	ga_s2am_ard_3-2-1_51KXQ_2019-03-09_final
2019-03-28 11:52:19	ga_s2am_ard_3-2-1_50KQG_2019-03-28_final.stac-item
2019-06-13 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-06-13_final
2019-08-02 11:43:29	ga_s2am_ard_3-2-1_51KVS_2019-08-02_final
2019-08-12 11:42:13	ga_s2am_ard_3-2-1_51KWB_2019-08-12_final
2019-10-31 11:46:41	ga_s2am_ard_3-2-1_50HNK_2019-10-31_final
2019-11-07 11:33:19	ga_s2am_ard_3-2-1_51KVT_2019-11-07_final
2019-11-07 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-11-07_final
2019-12-27 11:33:17	ga_s2am_ard_3-2-1_51KUT_2019-12-27_final
2020-01-19 11:43:19	ga_s2am_ard_3-2-1_51KVS_2020-01-19_final
2020-02-08 11:42:01	ga_s2am_ard_3-2-1_51KWB_2020-02-08_final
2020-03-03 11:26:13	ga_s2am_ard_3-2-1_51JUF_2020-03-03_final
2020-04-25 11:33:14	ga_s2am_ard_3-2-1_51KWT_2020-04-25_final
2020-04-28 11:42:48	ga_s2am_ard_3-2-1_51KUV_2020-04-28_final
2020-05-05 11:33:26	ga_s2am_ard_3-2-1_51KUT_2020-05-05_final
2020-05-18 11:42:51	ga_s2am_ard_3-2-1_51KUV_2020-05-18_final
2020-06-30 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-06-30_final
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-11-21 11:32:28	ga_s2am_ard_3-2-1_51KXA_2020-11-21_final
2020-11-27 11:52:35	ga_s2am_ard_3-2-1_50KQF_2020-11-27_final.stac-item
2021-01-10 11:33:17	ga_s2am_ard_3-2-1_51KVT_2021-01-10_final
2021-01-23 11:43:01	ga_s2am_ard_3-2-1_51KUU_2021-01-23_final
2021-02-02 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-02-02_final
2021-02-06 11:24:36	ga_s2am_ard_3-2-1_51JYM_2021-02-06_final
2021-05-13 11:46:22	ga_s2am_ard_3-2-1_50JNL_2021-05-13_final
2021-06-01 12:14:28	ga_s2am_ard_3-2-1_49KGP_2021-06-01_final
2021-06-02 11:43:12	ga_s2am_ard_3-2-1_51KVT_2021-06-02_final
2021-06-09 11:34:11	ga_s2am_ard_3-2-1_51KWP_2021-06-09_final
2021-08-01 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-08-01_final
2021-08-18 11:33:15	ga_s2am_ard_3-2-1_51KWT_2021-08-18_final
2021-08-27 12:03:46	ga_s2am_ard_3-2-1_50KKB_2021-08-27_final
2021-09-09 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-09-09_final
2021-11-06 11:33:34	ga_s2am_ard_3-2-1_51KVS_2021-11-06_final
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final
2021-11-23 11:23:54	ga_s2am_ard_3-2-1_51KYQ_2021-11-23_final
2021-12-16 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2021-12-16_final
2021-12-19 11:43:30	ga_s2am_ard_3-2-1_51KUS_2021-12-19_final
2022-01-12 11:23:29	ga_s2am_ard_3-2-1_51KXS_2022-01-12_final
2022-01-15 11:33:31	ga_s2am_ard_3-2-1_51KVS_2022-01-15_final
2022-01-24 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-01-24_final
2022-02-17 11:42:28	ga_s2am_ard_3-2-1_51KVA_2022-02-17_final
2022-03-26 11:33:24	ga_s2am_ard_3-2-1_51KVT_2022-03-26_final
2022-04-08 11:43:12	ga_s2am_ard_3-2-1_51KVT_2022-04-08_final
2022-05-15 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2022-05-15_final
2022-05-25 11:34:03	ga_s2am_ard_3-2-1_51KWQ_2022-05-25_final
2022-07-26 12:14:05	ga_s2am_ard_3-2-1_49KHR_2022-07-26_final
2022-08-06 11:46:30	ga_s2am_ard_3-2-1_50JPL_2022-08-06_final
2022-09-12 11:33:23	ga_s2am_ard_3-2-1_51KWT_2022-09-12_final.stac-item
2022-10-12 11:37:32	ga_s2am_ard_3-2-1_50HNG_2022-10-12_final.stac-item
2022-11-10 12:05:18	ga_s2am_ard_3-2-1_49JGL_2022-11-10_final.stac-item
2022-12-05 11:16:23	ga_s2am_ard_3-2-1_51HYE_2022-12-05_final.stac-item
2022-12-11 11:33:24	ga_s2am_ard_3-2-1_51KXS_2022-12-11_final.stac-item
2022-12-31 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2022-12-31_final.stac-item
2023-01-07 11:23:42	ga_s2am_ard_3-2-1_51KXR_2023-01-07_final.stac-item
2023-01-23 11:43:11	ga_s2am_ard_3-2-1_51KUT_2023-01-23_final.stac-item
2023-02-15 11:53:18	ga_s2am_ard_3-2-1_50KPC_2023-02-15_final.stac-item
2023-05-30 11:33:16	ga_s2am_ard_3-2-1_51KWT_2023-05-30_final.stac-item
2023-07-18 12:06:00	ga_s2am_ard_3-2-1_50JKN_2023-07-18_final.stac-item
2023-08-18 11:33:19	ga_s2am_ard_3-2-1_51KWT_2023-08-18_final.stac-item
2023-08-24 11:53:09	ga_s2am_ard_3-2-1_50KQD_2023-08-24_final.stac-item
2023-09-09 12:14:32	ga_s2am_ard_3-2-1_49KGP_2023-09-09_final.stac-item
2023-09-10 11:46:53	ga_s2am_ard_3-2-1_50HPJ_2023-09-10_final.stac-item
2023-09-30 11:47:26	ga_s2am_ard_3-2-1_50HMG_2023-09-30_final.stac-item
2023-10-13 11:55:51	ga_s2am_ard_3-2-1_50JNN_2023-10-13_final.stac-item
2023-11-23 11:23:24	ga_s2am_ard_3-2-1_51KXS_2023-11-23_final.stac-item
2023-11-26 11:32:14	ga_s2am_ard_3-2-1_51KVB_2023-11-26_final.stac-item
2023-12-06 11:34:43	ga_s2am_ard_3-2-1_51JTM_2023-12-06_final.stac-item
2023-12-18 12:13:50	ga_s2am_ard_3-2-1_50KKA_2023-12-18_final.stac-item
2023-12-25 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-12-25_final.stac-item
2023-12-29 11:43:24	ga_s2am_ard_3-2-1_51KUS_2023-12-29_final.stac-item
2024-01-15 11:32:19	ga_s2am_ard_3-2-1_51KXA_2024-01-15_final.stac-item
2024-02-04 11:33:34	ga_s2am_ard_3-2-1_51KXR_2024-02-04_final.stac-item
2024-02-17 11:43:13	ga_s2am_ard_3-2-1_51KUT_2024-02-17_final.stac-item
2024-02-20 11:53:15	ga_s2am_ard_3-2-1_50KQC_2024-02-20_final.stac-item
2024-04-16 12:14:59	ga_s2am_ard_3-2-1_49JGM_2024-04-16_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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