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
2015-10-08 12:03:08	ga_s2am_ard_3-2-1_50KKB_2015-10-08_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMV_2016-06-24_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_50HPK_2016-08-04_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JKM_2016-09-19_final.stac-item
2017-01-02 11:02:35	ga_s2am_ard_3-2-1_52JGT_2017-01-02_final.stac-item
2017-01-25 11:08:57	ga_s2am_ard_3-2-1_52JCS_2017-01-25_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50HPH_2017-01-31_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50HNH_2017-07-23_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HMK_2017-08-12_final.stac-item
2017-09-15 11:22:06	ga_s2am_ard_3-2-1_51JWG_2017-09-15_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HTD_2017-09-28_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51KVT_2017-12-17_final.stac-item
2017-12-24 11:22:03	ga_s2am_ard_3-2-1_51JXH_2017-12-24_final.stac-item
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JNQ_2018-02-01_final.stac-item
2018-02-02 11:24:26	ga_s2am_ard_3-2-1_51JXH_2018-02-02_final.stac-item
2018-02-18 11:42:05	ga_s2am_ard_3-2-1_51KVA_2018-02-18_final.stac-item
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JZM_2018-02-22_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTL_2018-02-25_final.stac-item
2018-03-25 10:47:23	ga_s2am_ard_3-2-1_52JFL_2018-03-25_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KLC_2018-04-25_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_51HYD_2018-05-20_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KXU_2018-05-26_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_51KYT_2018-05-26_final.stac-item
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51HYD_2018-06-09_final.stac-item
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JEL_2018-08-02_final.stac-item
2018-08-02 10:47:25	ga_s2am_ard_3-2-1_52JGS_2018-08-02_final.stac-item
2018-08-07 11:46:07	ga_s2am_ard_3-2-1_50JPM_2018-08-07_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_51LWC_2018-10-06_final.stac-item
2018-12-05 11:47:06	ga_s2am_ard_3-2-1_50HLH_2018-12-05_final.stac-item
2019-04-28 11:21:29	ga_s2am_ard_3-2-1_51LZE_2019-04-28_final.stac-item
2019-05-08 11:23:29	ga_s2am_ard_3-2-1_51KYS_2019-05-08_final.stac-item
2019-06-26 11:55:46	ga_s2am_ard_3-2-1_50JLP_2019-06-26_final.stac-item
2019-06-30 11:33:35	ga_s2am_ard_3-2-1_51KVS_2019-06-30_final.stac-item
2019-07-20 11:34:01	ga_s2am_ard_3-2-1_51KWQ_2019-07-20_final.stac-item
2019-09-18 11:33:23	ga_s2am_ard_3-2-1_51KXS_2019-09-18_final.stac-item
2019-11-12 10:45:49	ga_s2am_ard_3-2-1_52JGM_2019-11-12_final.stac-item
2020-01-04 10:55:49	ga_s2am_ard_3-2-1_52JFL_2020-01-04_final.stac-item
2020-02-12 11:22:45	ga_s2am_ard_3-2-1_51KZU_2020-02-12_final.stac-item
2020-03-19 11:43:08	ga_s2am_ard_3-2-1_51KVT_2020-03-19_final.stac-item
2020-03-19 11:45:25	ga_s2am_ard_3-2-1_51JTJ_2020-03-19_final.stac-item
2020-04-05 11:35:59	ga_s2am_ard_3-2-1_51JTG_2020-04-05_final.stac-item
2020-04-05 11:36:02	ga_s2am_ard_3-2-1_50JQM_2020-04-05_final.stac-item
2020-04-18 11:43:25	ga_s2am_ard_3-2-1_51KVS_2020-04-18_final.stac-item
2020-05-22 11:22:00	ga_s2am_ard_3-2-1_51LZC_2020-05-22_final.stac-item
2020-05-25 11:34:35	ga_s2am_ard_3-2-1_51JVN_2020-05-25_final.stac-item
2020-07-17 11:45:37	ga_s2am_ard_3-2-1_50JQP_2020-07-17_final.stac-item
2020-07-24 11:33:44	ga_s2am_ard_3-2-1_51KXR_2020-07-24_final.stac-item
2020-08-13 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2020-08-13_final.stac-item
2020-10-16 11:16:32	ga_s2am_ard_3-2-1_51HXE_2020-10-16_final.stac-item
2020-10-31 12:05:57	ga_s2am_ard_3-2-1_50JLN_2020-10-31_final.stac-item
2020-12-11 11:32:11	ga_s2am_ard_3-2-1_51KWB_2020-12-11_final.stac-item
2020-12-18 11:23:11	ga_s2am_ard_3-2-1_51KXT_2020-12-18_final.stac-item
2020-12-22 11:05:37	ga_s2am_ard_3-2-1_52JDN_2020-12-22_final.stac-item
2021-01-30 11:33:27	ga_s2am_ard_3-2-1_51KWS_2021-01-30_final.stac-item
2021-02-12 11:44:29	ga_s2am_ard_3-2-1_51JTN_2021-02-12_final.stac-item
2021-03-04 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-03-04_final.stac-item
2021-03-15 11:16:36	ga_s2am_ard_3-2-1_51HYD_2021-03-15_final.stac-item
2021-03-21 11:32:53	ga_s2am_ard_3-2-1_51KXU_2021-03-21_final.stac-item
2021-07-13 11:14:59	ga_s2am_ard_3-2-1_51JYL_2021-07-13_final.stac-item
2021-08-01 11:46:11	ga_s2am_ard_3-2-1_50JNM_2021-08-01_final.stac-item
2021-08-04 11:56:17	ga_s2am_ard_3-2-1_50JKM_2021-08-04_final.stac-item
2021-09-10 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-09-10_final.stac-item
2021-11-24 10:55:31	ga_s2am_ard_3-2-1_52JFN_2021-11-24_final.stac-item
2022-01-15 11:31:57	ga_s2am_ard_3-2-1_51LXC_2022-01-15_final.stac-item
2022-01-25 11:37:03	ga_s2am_ard_3-2-1_50HQH_2022-01-25_final.stac-item
2022-03-02 11:56:44	ga_s2am_ard_3-2-1_50HLK_2022-03-02_final.stac-item
2022-03-14 10:54:48	ga_s2am_ard_3-2-1_52JGR_2022-03-14_final.stac-item
2022-03-14 10:55:53	ga_s2am_ard_3-2-1_52JEM_2022-03-14_final.stac-item
2022-04-01 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2022-04-01_final.stac-item
2022-07-21 11:27:13	ga_s2am_ard_3-2-1_51HUC_2022-07-21_final.stac-item
2022-07-28 11:16:12	ga_s2am_ard_3-2-1_52JCL_2022-07-28_final.stac-item
2022-08-06 11:43:22	ga_s2am_ard_3-2-1_51KVT_2022-08-06_final.stac-item
2022-08-06 11:43:26	ga_s2am_ard_3-2-1_51KUT_2022-08-06_final.stac-item
2022-09-18 13:31:48	ga_s2am_ard_3-2-1_46LHM_2022-09-18_interim
2022-11-01 11:37:11	ga_s2am_ard_3-2-1_50HPH_2022-11-01_final.stac-item
2022-12-31 11:32:53	ga_s2am_ard_3-2-1_51KXU_2022-12-31_final.stac-item
2023-01-10 11:33:14	ga_s2am_ard_3-2-1_51KVT_2023-01-10_final.stac-item
2023-01-13 13:21:43	ga_s2am_ard_3-2-1_46LHM_2023-01-13_interim
2023-02-16 11:21:07	ga_s2am_ard_3-2-1_51LZF_2023-02-16_nrt.stac-item
2023-03-01 11:31:46	ga_s2am_ard_3-2-1_51LZC_2023-03-01_final
2023-03-31 11:35:43	ga_s2am_ard_3-2-1_51JUH_2023-03-31_final
2023-04-27 11:23:07	ga_s2am_ard_3-2-1_51KZT_2023-04-27_final
2023-06-26 11:26:25	ga_s2am_ard_3-2-1_51HXE_2023-06-26_final
2023-07-19 11:33:06	ga_s2am_ard_3-2-1_51KYT_2023-07-19_final
2023-07-29 11:32:25	ga_s2am_ard_3-2-1_51KVB_2023-07-29_final
2023-09-04 11:27:04	ga_s2am_ard_3-2-1_51HVC_2023-09-04_final
2023-09-07 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-09-07_final
2023-10-14 11:23:41	ga_s2am_ard_3-2-1_51KXR_2023-10-14_final
2023-11-26 11:33:39	ga_s2am_ard_3-2-1_51KVR_2023-11-26_final
2023-12-07 11:05:10	ga_s2am_ard_3-2-1_52JEP_2023-12-07_final
2023-12-09 11:43:11	ga_s2am_ard_3-2-1_51KVT_2023-12-09_final
2023-12-10 11:16:00	ga_s2am_ard_3-2-1_52JBL_2023-12-10_final
2023-12-11 10:45:55	ga_s2am_ard_3-2-1_52JGL_2023-12-11_final
2023-12-26 11:33:39	ga_s2am_ard_3-2-1_51KWR_2023-12-26_final
2024-01-12 11:23:37	ga_s2am_ard_3-2-1_51KXR_2024-01-12_final
2024-02-14 11:32:46	ga_s2am_ard_3-2-1_51KYU_2024-02-14_final
2024-03-08 11:44:17	ga_s2am_ard_3-2-1_50KRU_2024-03-08_final
2024-03-11 11:57:15	ga_s2am_ard_3-2-1_49HGC_2024-03-11_nrt
2024-03-22 11:26:48	ga_s2am_ard_3-2-1_51HUD_2024-03-22_final
2024-04-07 11:43:12	ga_s2am_ard_3-2-1_51KTT_2024-04-07_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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