Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-04 11:57:46	ga_s2am_ard_3-2-1_50JQP_2015-12-04_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_50KKU_2016-01-09_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50JPQ_2016-02-02_final.stac-item
2016-03-03 11:49:03	ga_s2am_ard_3-2-1_50JNQ_2016-03-03_final.stac-item
2016-03-19 12:14:38	ga_s2am_ard_3-2-1_49JGM_2016-03-19_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JQL_2016-03-20_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JPP_2016-04-02_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_50KKV_2016-04-18_final.stac-item
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2016-04-25_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JQP_2016-05-09_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JQP_2016-05-29_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HMJ_2016-07-08_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50HNG_2016-07-08_final
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50JPT_2016-08-10_final.stac-item
2016-08-17 11:40:15	ga_s2am_ard_3-2-1_50HNG_2016-08-17_final
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLK_2016-10-29_final.stac-item
2016-11-05 11:39:53	ga_s2am_ard_3-2-1_50JRT_2016-11-05_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2016-11-11_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50JRT_2016-11-12_final.stac-item
2017-01-03 12:13:15	ga_s2am_ard_3-2-1_49JFM_2017-01-03_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50JPS_2017-02-13_final.stac-item
2017-03-05 11:37:45	ga_s2am_ard_3-2-1_50JPT_2017-03-05_final.stac-item
2017-06-26 11:49:44	ga_s2am_ard_3-2-1_50HMK_2017-06-26_final.stac-item
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HMJ_2017-07-03_final.stac-item
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50JRT_2017-08-19_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-11-26_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49JGN_2017-12-19_final.stac-item
2017-12-19 12:13:16	ga_s2am_ard_3-2-1_49KHQ_2017-12-19_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPT_2017-12-30_final.stac-item
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGN_2018-01-05_final.stac-item
2018-01-06 11:32:02	ga_s2am_ard_3-2-1_50HQH_2018-01-06_final.stac-item
2018-02-17 12:13:18	ga_s2am_ard_3-2-1_49KGQ_2018-02-17_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_49KGP_2018-03-06_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2018-06-28_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMK_2018-06-28_final.stac-item
2018-07-08 11:40:21	ga_s2am_ard_3-2-1_50JPR_2018-07-08_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JGN_2018-08-06_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50HLH_2018-08-10_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JNP_2018-08-10_final.stac-item
2018-08-10 11:51:15	ga_s2am_ard_3-2-1_50JNS_2018-08-10_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JPS_2018-08-17_final.stac-item
2018-08-17 11:40:30	ga_s2am_ard_3-2-1_50JRT_2018-08-17_final.stac-item
2018-11-11 12:04:08	ga_s2am_ard_3-2-1_49KHQ_2018-11-11_final.stac-item
2018-11-18 11:53:50	ga_s2am_ard_3-2-1_50KMA_2018-11-18_final.stac-item
2018-12-11 12:04:10	ga_s2am_ard_3-2-1_49KGQ_2018-12-11_final.stac-item
2018-12-24 12:13:50	ga_s2am_ard_3-2-1_49KGR_2018-12-24_final.stac-item
2019-01-03 12:14:21	ga_s2am_ard_3-2-1_49KGP_2019-01-03_final.stac-item
2019-01-04 11:44:29	ga_s2am_ard_3-2-1_50JQT_2019-01-04_final.stac-item
2019-01-04 11:44:43	ga_s2am_ard_3-2-1_50JQS_2019-01-04_final.stac-item
2019-01-07 11:54:57	ga_s2am_ard_3-2-1_50JPR_2019-01-07_final.stac-item
2019-01-10 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-01-10_final.stac-item
2019-06-13 11:47:17	ga_s2am_ard_3-2-1_50HLH_2019-06-13_final.stac-item
2019-06-30 11:37:11	ga_s2am_ard_3-2-1_50HPH_2019-06-30_final.stac-item
2019-07-16 11:57:11	ga_s2am_ard_3-2-1_50HMH_2019-07-16_final.stac-item
2019-07-16 11:57:14	ga_s2am_ard_3-2-1_50HLH_2019-07-16_final.stac-item
2019-12-16 12:04:13	ga_s2am_ard_3-2-1_49KGQ_2019-12-16_final.stac-item
2020-01-05 12:04:26	ga_s2am_ard_3-2-1_49KGP_2020-01-05_final.stac-item
2020-02-21 11:53:51	ga_s2am_ard_3-2-1_50KMA_2020-02-21_final.stac-item
2020-03-05 12:04:14	ga_s2am_ard_3-2-1_49KGQ_2020-03-05_final.stac-item
2020-07-10 11:57:13	ga_s2am_ard_3-2-1_50HLH_2020-07-10_final.stac-item
2020-07-17 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2020-07-17_final.stac-item
2020-11-10 12:03:31	ga_s2am_ard_3-2-1_50KLC_2020-11-10_final.stac-item
2020-11-27 11:53:57	ga_s2am_ard_3-2-1_50KMA_2020-11-27_final.stac-item
2020-12-23 12:14:44	ga_s2am_ard_3-2-1_49JFN_2020-12-23_final.stac-item
2020-12-24 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2020-12-24_final.stac-item
2020-12-30 12:03:44	ga_s2am_ard_3-2-1_50KKB_2020-12-30_final.stac-item
2021-01-03 11:45:12	ga_s2am_ard_3-2-1_50JNR_2021-01-03_final.stac-item
2021-03-07 11:56:18	ga_s2am_ard_3-2-1_50JNL_2021-03-07_final.stac-item
2021-05-23 11:47:21	ga_s2am_ard_3-2-1_50HNG_2021-05-23_final
2021-06-29 11:34:52	ga_s2am_ard_3-2-1_50JRS_2021-06-29_final.stac-item
2021-07-02 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-07-02_final.stac-item
2021-07-09 11:37:29	ga_s2am_ard_3-2-1_50HNG_2021-07-09_final
2021-07-15 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-07-15_final.stac-item
2021-07-15 11:56:40	ga_s2am_ard_3-2-1_50HMK_2021-07-15_final.stac-item
2021-07-15 11:57:09	ga_s2am_ard_3-2-1_50HMH_2021-07-15_final.stac-item
2021-08-01 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-08-01_final
2021-08-11 11:47:29	ga_s2am_ard_3-2-1_50HLG_2021-08-11_final
2021-08-21 11:44:40	ga_s2am_ard_3-2-1_50JPT_2021-08-21_final.stac-item
2021-08-28 11:37:23	ga_s2am_ard_3-2-1_50HPG_2021-08-28_final
2021-11-12 11:54:35	ga_s2am_ard_3-2-1_50KLU_2021-11-12_final.stac-item
2021-11-12 11:54:46	ga_s2am_ard_3-2-1_50JLT_2021-11-12_final.stac-item
2021-12-16 11:37:21	ga_s2am_ard_3-2-1_50HPG_2021-12-16_final
2021-12-19 11:44:31	ga_s2am_ard_3-2-1_50JRT_2021-12-19_final.stac-item
2021-12-26 11:37:28	ga_s2am_ard_3-2-1_50HNG_2021-12-26_final
2022-03-09 11:44:35	ga_s2am_ard_3-2-1_50JRT_2022-03-09_final.stac-item
2022-08-06 11:45:11	ga_s2am_ard_3-2-1_50JPS_2022-08-06_final.stac-item
2022-09-25 13:21:45	ga_s2am_ard_3-2-1_46LHN_2022-09-25_interim
2023-01-23 11:47:17	ga_s2am_ard_3-2-1_50HNG_2023-01-23_final
2023-04-30 11:37:26	ga_s2am_ard_3-2-1_50HNG_2023-04-30_final
2023-05-23 11:44:57	ga_s2am_ard_3-2-1_50JPS_2023-05-23_final
2023-07-02 11:44:55	ga_s2am_ard_3-2-1_50JQS_2023-07-02_final
2023-09-30 11:47:29	ga_s2am_ard_3-2-1_50HLG_2023-09-30_final
2023-11-25 12:05:38	ga_s2am_ard_3-2-1_49JGJ_2023-11-25_final
2023-12-19 11:46:49	ga_s2am_ard_3-2-1_50HQH_2023-12-19_final
2024-01-15 11:36:56	ga_s2am_ard_3-2-1_50HQH_2024-01-15_final
2024-03-25 11:34:38	ga_s2am_ard_3-2-1_50JRT_2024-03-25_final
2024-03-25 11:36:59	ga_s2am_ard_3-2-1_50HQH_2024-03-25_final
2024-03-28 11:47:21	ga_s2am_ard_3-2-1_50HNG_2024-03-28_final
2024-04-14 11:37:28	ga_s2am_ard_3-2-1_50HNG_2024-04-14_final
2024-04-17 11:47:24	ga_s2am_ard_3-2-1_50HNG_2024-04-17_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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