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
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_49JGK_2015-12-27_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JPN_2016-06-18_final.stac-item
2016-09-01 10:55:14	ga_s2am_ard_3-2-1_52JGM_2016-09-01_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_50HPJ_2016-09-13_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWU_2016-12-22_final
2016-12-23 10:57:35	ga_s2am_ard_3-2-1_52KHB_2016-12-23_final
2016-12-26 11:07:06	ga_s2am_ard_3-2-1_52KEC_2016-12-26_final
2017-04-05 11:12:12	ga_s2am_ard_3-2-1_52KFD_2017-04-05_final
2017-06-21 11:02:58	ga_s2am_ard_3-2-1_52KGB_2017-06-21_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51KWP_2017-07-17_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JMQ_2017-12-03_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_51KVT_2018-04-09_final
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_51KTT_2018-06-08_final
2018-08-05 10:57:16	ga_s2am_ard_3-2-1_52JDR_2018-08-05_final
2018-10-23 11:26:17	ga_s2am_ard_3-2-1_51LZC_2018-10-23_final
2019-01-04 11:47:09	ga_s2am_ard_3-2-1_50HLH_2019-01-04_final
2019-01-29 10:53:43	ga_s2am_ard_3-2-1_52KGV_2019-01-29_final
2019-03-22 11:31:41	ga_s2am_ard_3-2-1_51LXD_2019-03-22_final
2019-04-08 11:22:10	ga_s2am_ard_3-2-1_51KZB_2019-04-08_final
2019-05-07 11:53:21	ga_s2am_ard_3-2-1_50KQC_2019-05-07_final
2019-06-06 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-06-06_final
2019-06-11 11:05:25	ga_s2am_ard_3-2-1_52JFN_2019-06-11_final
2019-06-27 11:26:05	ga_s2am_ard_3-2-1_51JVG_2019-06-27_final
2019-07-27 11:25:39	ga_s2am_ard_3-2-1_51JYH_2019-07-27_final
2019-09-21 11:43:25	ga_s2am_ard_3-2-1_51KVS_2019-09-21_final
2019-09-29 11:05:46	ga_s2am_ard_3-2-1_52JEM_2019-09-29_final
2019-10-12 11:15:49	ga_s2am_ard_3-2-1_52JBM_2019-10-12_final
2019-10-16 10:52:48	ga_s2am_ard_3-2-1_52KHD_2019-10-16_final
2019-12-07 11:34:46	ga_s2am_ard_3-2-1_50JRS_2019-12-07_final
2019-12-28 11:06:05	ga_s2am_ard_3-2-1_52JBL_2019-12-28_final
2020-01-06 11:32:16	ga_s2am_ard_3-2-1_51KYA_2020-01-06_final
2020-01-06 11:33:10	ga_s2am_ard_3-2-1_51KVT_2020-01-06_final
2020-01-16 11:34:11	ga_s2am_ard_3-2-1_51KUP_2020-01-16_final
2020-01-20 11:13:23	ga_s2am_ard_3-2-1_51KZS_2020-01-20_final
2020-03-13 11:25:53	ga_s2am_ard_3-2-1_51JWG_2020-03-13_final
2020-04-22 11:25:35	ga_s2am_ard_3-2-1_51JYH_2020-04-22_final
2020-05-25 11:35:14	ga_s2am_ard_3-2-1_51JWK_2020-05-25_final
2020-06-13 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-06-13_final
2020-06-21 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2020-06-21_final
2020-06-24 11:34:20	ga_s2am_ard_3-2-1_51KVP_2020-06-24_final
2020-07-15 11:04:48	ga_s2am_ard_3-2-1_52JFR_2020-07-15_final
2020-07-24 11:37:03	ga_s2am_ard_3-2-1_51HUC_2020-07-24_final
2020-08-03 11:32:25	ga_s2am_ard_3-2-1_51KVB_2020-08-03_final
2020-08-03 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-08-03_final
2020-08-20 11:24:21	ga_s2am_ard_3-2-1_51KWP_2020-08-20_final
2020-08-21 10:52:36	ga_s2am_ard_3-2-1_52KHE_2020-08-21_final
2020-10-16 11:14:43	ga_s2am_ard_3-2-1_52JBS_2020-10-16_final
2020-11-12 11:06:10	ga_s2am_ard_3-2-1_52JCL_2020-11-12_final
2020-12-05 11:14:07	ga_s2am_ard_3-2-1_51KZP_2020-12-05_final
2020-12-18 11:23:07	ga_s2am_ard_3-2-1_51KZT_2020-12-18_final
2021-01-14 11:15:48	ga_s2am_ard_3-2-1_52JCM_2021-01-14_final
2021-03-22 11:03:40	ga_s2am_ard_3-2-1_52KGV_2021-03-22_final
2021-05-23 11:46:01	ga_s2am_ard_3-2-1_50JQM_2021-05-23_final
2021-06-02 11:43:26	ga_s2am_ard_3-2-1_51KVS_2021-06-02_final
2021-06-06 11:26:33	ga_s2am_ard_3-2-1_51HUE_2021-06-06_final
2021-06-17 10:53:32	ga_s2am_ard_3-2-1_52KGA_2021-06-17_final
2021-06-22 11:45:58	ga_s2am_ard_3-2-1_51JTG_2021-06-22_final
2021-07-15 11:56:03	ga_s2am_ard_3-2-1_50JKN_2021-07-15_final
2021-08-07 12:04:31	ga_s2am_ard_3-2-1_49KHP_2021-08-07_final
2021-08-25 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-08-25_final
2021-10-03 11:57:02	ga_s2am_ard_3-2-1_50HMJ_2021-10-03_final
2021-10-20 11:47:12	ga_s2am_ard_3-2-1_50HNH_2021-10-20_final
2021-10-31 11:13:45	ga_s2am_ard_3-2-1_51KZR_2021-10-31_final
2021-12-06 11:34:14	ga_s2am_ard_3-2-1_51JXN_2021-12-06_final
2021-12-14 10:54:33	ga_s2am_ard_3-2-1_52JFS_2021-12-14_final
2022-01-15 11:32:41	ga_s2am_ard_3-2-1_51KXV_2022-01-15_final
2022-02-28 11:14:32	ga_s2am_ard_3-2-1_51JYN_2022-02-28_final
2022-03-03 11:22:02	ga_s2am_ard_3-2-1_51LYC_2022-03-03_final
2022-03-03 11:22:59	ga_s2am_ard_3-2-1_51KYU_2022-03-03_final
2022-07-01 11:26:06	ga_s2am_ard_3-2-1_51JXG_2022-07-01_final
2022-07-07 11:46:50	ga_s2am_ard_3-2-1_50HNK_2022-07-07_final
2022-08-03 11:32:51	ga_s2am_ard_3-2-1_51KXV_2022-08-03_final
2022-09-15 11:47:36	ga_s2am_ard_3-2-1_50HLG_2022-09-15_final.stac-item
2022-09-26 11:16:15	ga_s2am_ard_3-2-1_51JYF_2022-09-26_final.stac-item
2022-10-02 11:31:13	ga_s2am_ard_3-2-1_51LZF_2022-10-02_final.stac-item
2022-10-02 11:34:47	ga_s2am_ard_3-2-1_51JWM_2022-10-02_final.stac-item
2022-11-22 11:04:15	ga_s2am_ard_3-2-1_52JFT_2022-11-22_final.stac-item
2023-01-14 11:14:38	ga_s2am_ard_3-2-1_51JYM_2023-01-14_final.stac-item
2023-01-17 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2023-01-17_final.stac-item
2023-01-30 11:32:05	ga_s2am_ard_3-2-1_51KYB_2023-01-30_final.stac-item
2023-02-06 11:26:17	ga_s2am_ard_3-2-1_51JUF_2023-02-06_final.stac-item
2023-03-02 11:02:49	ga_s2am_ard_3-2-1_52KED_2023-03-02_final.stac-item
2023-03-08 11:26:30	ga_s2am_ard_3-2-1_51HXD_2023-03-08_final.stac-item
2023-04-07 11:25:03	ga_s2am_ard_3-2-1_51JVL_2023-04-07_final.stac-item
2023-04-20 11:33:21	ga_s2am_ard_3-2-1_51KUT_2023-04-20_final.stac-item
2023-04-22 12:15:18	ga_s2am_ard_3-2-1_49JGK_2023-04-22_final.stac-item
2023-06-20 11:06:37	ga_s2am_ard_3-2-1_52HBJ_2023-06-20_final.stac-item
2023-06-26 11:23:06	ga_s2am_ard_3-2-1_52KCC_2023-06-26_final.stac-item
2023-08-11 11:46:30	ga_s2am_ard_3-2-1_50JML_2023-08-11_final.stac-item
2023-09-07 11:33:00	ga_s2am_ard_3-2-1_51KXU_2023-09-07_final.stac-item
2023-10-16 12:06:09	ga_s2am_ard_3-2-1_50JKM_2023-10-16_final.stac-item
2024-01-18 11:42:04	ga_s2am_ard_3-2-1_51KVB_2024-01-18_final.stac-item
2024-01-22 11:23:09	ga_s2am_ard_3-2-1_52KCB_2024-01-22_final.stac-item
2024-01-25 11:35:31	ga_s2am_ard_3-2-1_50JQP_2024-01-25_final.stac-item
2024-02-24 11:32:30	ga_s2am_ard_3-2-1_51KVA_2024-02-24_final.stac-item
2024-03-06 11:06:24	ga_s2am_ard_3-2-1_52HBK_2024-03-06_final.stac-item
2024-04-01 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2024-04-01_final.stac-item
2024-04-03 12:03:56	ga_s2am_ard_3-2-1_50KKA_2024-04-03_final.stac-item
2024-04-11 11:26:15	ga_s2am_ard_3-2-1_51JVF_2024-04-11_final.stac-item
2024-05-25 11:03:53	ga_s2am_ard_3-2-1_52KDV_2024-05-25_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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