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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51KWP_2015-11-25_final.stac-item
2016-02-19 11:45:19	ga_s2am_ard_3-2-1_50HPH_2016-02-19_final.stac-item
2016-03-24 11:21:55	ga_s2am_ard_3-2-1_51JVH_2016-03-24_final.stac-item
2016-04-10 11:07:07	ga_s2am_ard_3-2-1_51JXJ_2016-04-10_final.stac-item
2016-04-26 11:36:07	ga_s2am_ard_3-2-1_51JTG_2016-04-26_final.stac-item
2016-05-08 12:14:47	ga_s2am_ard_3-2-1_49JGL_2016-05-08_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JKQ_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JVJ_2016-06-05_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_50KKU_2016-07-17_final.stac-item
2016-09-06 11:40:12	ga_s2am_ard_3-2-1_50HMH_2016-09-06_final.stac-item
2016-09-13 11:32:07	ga_s2am_ard_3-2-1_51KYU_2016-09-13_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50JKN_2016-12-08_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQV_2017-01-14_final.stac-item
2017-01-18 11:19:51	ga_s2am_ard_3-2-1_51KZT_2017-01-18_final.stac-item
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JLS_2017-02-16_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTE_2017-05-11_final.stac-item
2017-08-16 11:26:10	ga_s2am_ard_3-2-1_51HWE_2017-08-16_final.stac-item
2017-08-19 11:36:41	ga_s2am_ard_3-2-1_50HPJ_2017-08-19_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HMK_2017-09-01_final.stac-item
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JLN_2017-12-03_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51JYK_2018-01-13_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JVK_2018-02-02_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KUT_2018-02-18_final.stac-item
2018-02-21 11:50:43	ga_s2am_ard_3-2-1_50KRC_2018-02-21_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXH_2018-02-22_final.stac-item
2018-03-27 11:33:07	ga_s2am_ard_3-2-1_51HUE_2018-03-27_final.stac-item
2018-05-13 11:20:24	ga_s2am_ard_3-2-1_51KZA_2018-05-13_final.stac-item
2018-05-13 11:26:36	ga_s2am_ard_3-2-1_51HUE_2018-05-13_final.stac-item
2018-06-07 12:13:28	ga_s2am_ard_3-2-1_49JGL_2018-06-07_final.stac-item
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51JUH_2018-08-04_final.stac-item
2018-08-14 11:26:20	ga_s2am_ard_3-2-1_51KVT_2018-08-14_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50HMJ_2018-09-26_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JYM_2018-09-30_final.stac-item
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JML_2018-10-19_final.stac-item
2018-12-22 11:31:59	ga_s2am_ard_3-2-1_51KYB_2018-12-22_final.stac-item
2019-01-01 11:36:51	ga_s2am_ard_3-2-1_51HUC_2019-01-01_final.stac-item
2019-01-24 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-01-24_final.stac-item
2019-01-28 11:22:23	ga_s2am_ard_3-2-1_51KYA_2019-01-28_final.stac-item
2019-03-05 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-03-05_final.stac-item
2019-03-09 11:23:05	ga_s2am_ard_3-2-1_51KYT_2019-03-09_final.stac-item
2019-03-09 11:26:42	ga_s2am_ard_3-2-1_51HUD_2019-03-09_final.stac-item
2019-04-17 11:56:14	ga_s2am_ard_3-2-1_50JLM_2019-04-17_final.stac-item
2019-04-18 11:23:31	ga_s2am_ard_3-2-1_51KXS_2019-04-18_final.stac-item
2019-04-24 11:42:24	ga_s2am_ard_3-2-1_51KWA_2019-04-24_final.stac-item
2019-06-26 11:55:57	ga_s2am_ard_3-2-1_50JMN_2019-06-26_final.stac-item
2019-07-07 11:24:20	ga_s2am_ard_3-2-1_51KWP_2019-07-07_final.stac-item
2019-08-05 11:56:26	ga_s2am_ard_3-2-1_50JML_2019-08-05_final.stac-item
2019-08-09 11:33:27	ga_s2am_ard_3-2-1_51KXS_2019-08-09_final.stac-item
2019-09-14 11:56:53	ga_s2am_ard_3-2-1_50HLJ_2019-09-14_final.stac-item
2019-11-09 12:15:22	ga_s2am_ard_3-2-1_49JGK_2019-11-09_final.stac-item
2020-01-03 11:25:22	ga_s2am_ard_3-2-1_51JWJ_2020-01-03_final.stac-item
2020-01-06 11:32:14	ga_s2am_ard_3-2-1_51KVB_2020-01-06_final.stac-item
2020-02-05 11:32:35	ga_s2am_ard_3-2-1_51KWV_2020-02-05_final.stac-item
2020-02-12 11:22:45	ga_s2am_ard_3-2-1_51KZU_2020-02-12_final.stac-item
2020-02-18 11:42:07	ga_s2am_ard_3-2-1_51KVB_2020-02-18_final.stac-item
2020-02-25 11:35:54	ga_s2am_ard_3-2-1_51JUG_2020-02-25_final.stac-item
2020-04-21 11:56:00	ga_s2am_ard_3-2-1_50JKN_2020-04-21_final.stac-item
2020-09-02 11:36:51	ga_s2am_ard_3-2-1_51HTD_2020-09-02_final.stac-item
2020-10-05 11:42:01	ga_s2am_ard_3-2-1_51LWC_2020-10-05_final.stac-item
2020-10-09 11:23:19	ga_s2am_ard_3-2-1_51KXT_2020-10-09_final.stac-item
2020-11-11 11:36:56	ga_s2am_ard_3-2-1_50HPJ_2020-11-11_final.stac-item
2020-11-18 11:24:32	ga_s2am_ard_3-2-1_51JWN_2020-11-18_final.stac-item
2021-01-04 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-01-04_final.stac-item
2021-02-03 11:16:08	ga_s2am_ard_3-2-1_51JYF_2021-02-03_final.stac-item
2021-03-21 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-03-21_final.stac-item
2021-03-30 12:05:27	ga_s2am_ard_3-2-1_49JGK_2021-03-30_final.stac-item
2021-05-07 11:26:41	ga_s2am_ard_3-2-1_51HXD_2021-05-07_final.stac-item
2021-06-09 11:36:53	ga_s2am_ard_3-2-1_50HPJ_2021-06-09_final.stac-item
2021-06-22 11:42:43	ga_s2am_ard_3-2-1_51KVV_2021-06-22_final.stac-item
2021-07-13 11:14:32	ga_s2am_ard_3-2-1_51JYN_2021-07-13_final.stac-item
2021-07-29 11:36:50	ga_s2am_ard_3-2-1_51HTD_2021-07-29_final.stac-item
2021-12-06 11:37:06	ga_s2am_ard_3-2-1_50HPH_2021-12-06_final.stac-item
2022-02-28 11:15:46	ga_s2am_ard_3-2-1_51JXH_2022-02-28_final.stac-item
2022-03-23 11:26:47	ga_s2am_ard_3-2-1_51HVD_2022-03-23_final.stac-item
2022-05-19 11:16:14	ga_s2am_ard_3-2-1_51JYF_2022-05-19_final.stac-item
2022-05-31 11:56:12	ga_s2am_ard_3-2-1_50JNM_2022-05-31_final.stac-item
2022-06-01 11:25:24	ga_s2am_ard_3-2-1_51JVK_2022-06-01_final.stac-item
2022-07-17 11:46:20	ga_s2am_ard_3-2-1_50JNM_2022-07-17_final.stac-item
2022-08-10 11:27:13	ga_s2am_ard_3-2-1_51HUC_2022-08-10_final.stac-item
2022-08-23 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-08-23_final.stac-item
2022-09-22 11:37:10	ga_s2am_ard_3-2-1_50HQH_2022-09-22_final.stac-item
2022-09-29 11:24:48	ga_s2am_ard_3-2-1_51JXM_2022-09-29_final.stac-item
2022-10-15 13:21:49	ga_s2am_ard_3-2-1_46LHM_2022-10-15_interim
2023-01-16 11:57:11	ga_s2am_ard_3-2-1_49HGC_2023-01-16_nrt.stac-item
2023-01-20 11:34:00	ga_s2am_ard_3-2-1_51KXP_2023-01-20_final.stac-item
2023-03-31 11:34:16	ga_s2am_ard_3-2-1_51KUP_2023-03-31_final
2023-05-13 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-05-13_final
2023-06-19 11:33:34	ga_s2am_ard_3-2-1_51KVS_2023-06-19_final
2023-06-26 11:24:54	ga_s2am_ard_3-2-1_51JYL_2023-06-26_final
2023-07-09 11:37:12	ga_s2am_ard_3-2-1_50HPH_2023-07-09_final
2023-08-08 11:36:53	ga_s2am_ard_3-2-1_50HQJ_2023-08-08_final
2023-12-26 11:33:35	ga_s2am_ard_3-2-1_51KXR_2023-12-26_final
2023-12-29 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-12-29_final
2024-01-25 11:35:53	ga_s2am_ard_3-2-1_51JUG_2024-01-25_final
2024-03-18 11:46:20	ga_s2am_ard_3-2-1_50JPL_2024-03-18_final
2024-03-25 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2024-03-25_final
2024-04-04 11:32:59	ga_s2am_ard_3-2-1_51KVU_2024-04-04_final
2024-04-18 12:51:03	ga_s2am_ard_3-2-1_48LWP_2024-04-18_final
2024-04-20 11:57:18	ga_s2am_ard_3-2-1_49HGC_2024-04-20_nrt
2024-04-24 11:36:34	ga_s2am_ard_3-2-1_51HTE_2024-04-24_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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