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
2015-10-23 11:14:04	ga_s2am_ard_3-2-1_52JBS_2015-10-23_final.stac-item
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_52JBS_2015-11-25_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51LZC_2016-01-07_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_51JTG_2016-04-19_final.stac-item
2016-07-09 11:09:03	ga_s2am_ard_3-2-1_51JYL_2016-07-09_final.stac-item
2016-07-31 11:56:12	ga_s2am_ard_3-2-1_50HNK_2016-07-31_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JXN_2016-10-30_final.stac-item
2016-10-31 10:50:37	ga_s2am_ard_3-2-1_52JGR_2016-10-31_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52KFC_2017-01-25_final.stac-item
2017-02-11 11:01:12	ga_s2am_ard_3-2-1_52KGE_2017-02-11_final.stac-item
2017-04-22 11:03:00	ga_s2am_ard_3-2-1_52JER_2017-04-22_final.stac-item
2017-06-14 11:11:51	ga_s2am_ard_3-2-1_51JYG_2017-06-14_final.stac-item
2017-09-08 11:29:54	ga_s2am_ard_3-2-1_51LZC_2017-09-08_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_51JVF_2017-10-05_final.stac-item
2017-10-05 11:21:56	ga_s2am_ard_3-2-1_52JBS_2017-10-05_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JYL_2017-12-11_final.stac-item
2017-12-31 11:11:55	ga_s2am_ard_3-2-1_52JBP_2017-12-31_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51LZC_2018-02-25_final.stac-item
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HPH_2018-02-28_final.stac-item
2018-06-19 11:15:33	ga_s2am_ard_3-2-1_51HYD_2018-06-19_final.stac-item
2018-07-22 11:25:32	ga_s2am_ard_3-2-1_51JXG_2018-07-22_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_50JQL_2018-08-04_final.stac-item
2018-09-11 10:55:00	ga_s2am_ard_3-2-1_52JGN_2018-09-11_final.stac-item
2018-10-03 11:32:47	ga_s2am_ard_3-2-1_51JVJ_2018-10-03_final.stac-item
2018-11-11 12:04:26	ga_s2am_ard_3-2-1_49KGP_2018-11-11_final.stac-item
2019-01-15 11:16:36	ga_s2am_ard_3-2-1_51HXD_2019-01-15_final.stac-item
2019-02-04 11:15:50	ga_s2am_ard_3-2-1_51JYG_2019-02-04_final.stac-item
2019-03-11 12:06:05	ga_s2am_ard_3-2-1_50JKM_2019-03-11_final.stac-item
2019-09-15 11:27:01	ga_s2am_ard_3-2-1_51HUC_2019-09-15_final.stac-item
2019-10-28 11:33:48	ga_s2am_ard_3-2-1_51KVR_2019-10-28_final.stac-item
2020-01-09 11:42:16	ga_s2am_ard_3-2-1_51KWA_2020-01-09_final.stac-item
2020-01-09 11:44:27	ga_s2am_ard_3-2-1_51JTN_2020-01-09_final.stac-item
2020-02-19 11:15:33	ga_s2am_ard_3-2-1_51JYH_2020-02-19_final.stac-item
2020-04-15 11:34:36	ga_s2am_ard_3-2-1_50JRT_2020-04-15_final.stac-item
2020-05-08 11:46:19	ga_s2am_ard_3-2-1_50JQL_2020-05-08_final.stac-item
2020-05-22 11:22:21	ga_s2am_ard_3-2-1_51KZB_2020-05-22_final.stac-item
2020-05-23 10:55:48	ga_s2am_ard_3-2-1_52JGM_2020-05-23_final.stac-item
2020-08-10 11:24:57	ga_s2am_ard_3-2-1_51JYL_2020-08-10_final.stac-item
2020-11-18 11:24:18	ga_s2am_ard_3-2-1_51KWP_2020-11-18_final.stac-item
2020-11-28 11:23:01	ga_s2am_ard_3-2-1_51KXU_2020-11-28_final.stac-item
2021-01-20 11:31:36	ga_s2am_ard_3-2-1_51LZD_2021-01-20_final.stac-item
2021-01-23 11:42:10	ga_s2am_ard_3-2-1_51KWB_2021-01-23_final.stac-item
2021-02-06 11:25:52	ga_s2am_ard_3-2-1_51JXG_2021-02-06_final.stac-item
2021-02-06 11:26:46	ga_s2am_ard_3-2-1_51HUD_2021-02-06_final.stac-item
2021-02-12 11:42:55	ga_s2am_ard_3-2-1_51KVU_2021-02-12_final.stac-item
2021-03-01 11:36:10	ga_s2am_ard_3-2-1_51JVF_2021-03-01_final.stac-item
2021-03-08 11:23:43	ga_s2am_ard_3-2-1_51KXR_2021-03-08_final.stac-item
2021-03-15 11:13:00	ga_s2am_ard_3-2-1_52KEC_2021-03-15_final.stac-item
2021-03-22 11:03:04	ga_s2am_ard_3-2-1_52KEC_2021-03-22_final.stac-item
2021-03-22 11:04:13	ga_s2am_ard_3-2-1_52JFT_2021-03-22_final.stac-item
2021-06-09 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2021-06-09_final.stac-item
2021-06-16 11:26:40	ga_s2am_ard_3-2-1_51HWD_2021-06-16_final.stac-item
2021-10-27 11:36:43	ga_s2am_ard_3-2-1_50HPK_2021-10-27_final.stac-item
2021-11-07 11:03:45	ga_s2am_ard_3-2-1_52KGV_2021-11-07_final.stac-item
2021-11-20 11:15:07	ga_s2am_ard_3-2-1_52JBQ_2021-11-20_final.stac-item
2021-11-23 11:24:19	ga_s2am_ard_3-2-1_51JZN_2021-11-23_final.stac-item
2021-12-23 11:24:33	ga_s2am_ard_3-2-1_51JZM_2021-12-23_final.stac-item
2022-01-15 11:31:21	ga_s2am_ard_3-2-1_51LZE_2022-01-15_final.stac-item
2022-01-18 11:43:33	ga_s2am_ard_3-2-1_50KRB_2022-01-18_final.stac-item
2022-01-29 11:12:46	ga_s2am_ard_3-2-1_52KED_2022-01-29_final.stac-item
2022-02-01 11:23:35	ga_s2am_ard_3-2-1_51KZR_2022-02-01_final.stac-item
2022-03-03 11:24:40	ga_s2am_ard_3-2-1_51JYM_2022-03-03_final.stac-item
2022-03-09 11:42:03	ga_s2am_ard_3-2-1_51LVC_2022-03-09_final.stac-item
2022-03-29 11:44:33	ga_s2am_ard_3-2-1_51JTN_2022-03-29_final.stac-item
2022-04-15 11:36:46	ga_s2am_ard_3-2-1_51HUD_2022-04-15_final.stac-item
2022-05-19 11:14:29	ga_s2am_ard_3-2-1_51JZN_2022-05-19_final.stac-item
2022-06-04 11:33:02	ga_s2am_ard_3-2-1_51KXU_2022-06-04_final.stac-item
2022-06-17 11:44:42	ga_s2am_ard_3-2-1_50JRT_2022-06-17_final.stac-item
2022-07-04 11:33:40	ga_s2am_ard_3-2-1_51KWS_2022-07-04_final.stac-item
2022-07-13 12:05:56	ga_s2am_ard_3-2-1_49JGJ_2022-07-13_final.stac-item
2022-07-30 11:56:28	ga_s2am_ard_3-2-1_50JNL_2022-07-30_final.stac-item
2022-08-20 11:23:23	ga_s2am_ard_3-2-1_51KYT_2022-08-20_final.stac-item
2022-09-05 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-09-05_final.stac-item
2022-09-09 11:24:37	ga_s2am_ard_3-2-1_51JXN_2022-09-09_final.stac-item
2022-09-29 11:25:17	ga_s2am_ard_3-2-1_51JXK_2022-09-29_final.stac-item
2022-10-19 11:25:23	ga_s2am_ard_3-2-1_51JYJ_2022-10-19_final.stac-item
2022-12-21 11:32:24	ga_s2am_ard_3-2-1_51KXA_2022-12-21_final.stac-item
2023-01-06 13:31:38	ga_s2am_ard_3-2-1_46LHM_2023-01-06_interim
2023-01-07 11:22:51	ga_s2am_ard_3-2-1_51KZU_2023-01-07_final.stac-item
2023-01-31 11:01:59	ga_s2am_ard_3-2-1_52KGG_2023-01-31_final.stac-item
2023-02-26 11:22:58	ga_s2am_ard_3-2-1_51KXU_2023-02-26_final
2023-04-14 11:15:22	ga_s2am_ard_3-2-1_52JBP_2023-04-14_final
2023-04-26 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2023-04-26_final
2023-05-14 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2023-05-14_final
2023-06-05 11:57:13	ga_s2am_ard_3-2-1_50HLH_2023-06-05_final
2023-06-27 10:54:33	ga_s2am_ard_3-2-1_52JGS_2023-06-27_final
2023-06-30 11:02:48	ga_s2am_ard_3-2-1_52KGD_2023-06-30_final
2023-10-31 11:12:53	ga_s2am_ard_3-2-1_52KFC_2023-10-31_final
2023-11-09 11:41:55	ga_s2am_ard_3-2-1_51LWC_2023-11-09_final
2023-12-10 11:15:16	ga_s2am_ard_3-2-1_52JBP_2023-12-10_final
2024-01-03 10:54:45	ga_s2am_ard_3-2-1_52JFR_2024-01-03_final
2024-01-12 11:26:56	ga_s2am_ard_3-2-1_51HUC_2024-01-12_final
2024-02-21 11:22:10	ga_s2am_ard_3-2-1_51KYB_2024-02-21_final
2024-02-24 11:31:54	ga_s2am_ard_3-2-1_51LYC_2024-02-24_final
2024-03-02 11:22:24	ga_s2am_ard_3-2-1_51KZA_2024-03-02_final
2024-03-02 11:23:06	ga_s2am_ard_3-2-1_52KBC_2024-03-02_final
2024-03-08 11:44:42	ga_s2am_ard_3-2-1_51JTM_2024-03-08_final
2024-03-19 11:13:29	ga_s2am_ard_3-2-1_51KZS_2024-03-19_final
2024-03-22 11:22:24	ga_s2am_ard_3-2-1_52KBF_2024-03-22_final
2024-04-21 11:23:03	ga_s2am_ard_3-2-1_51KXU_2024-04-21_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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