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
2016-01-31 11:12:11	ga_s2am_ard_3-2-1_52KDD_2016-01-31_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNN_2016-07-21_final.stac-item
2016-08-04 11:32:03	ga_s2am_ard_3-2-1_51JUF_2016-08-04_final.stac-item
2016-08-08 11:12:18	ga_s2am_ard_3-2-1_52KBU_2016-08-08_final.stac-item
2016-09-04 11:00:40	ga_s2am_ard_3-2-1_52LHL_2016-09-04_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_51KUR_2016-09-26_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52KEV_2016-10-27_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWM_2017-01-08_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_52KBV_2017-01-08_final.stac-item
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50JKS_2017-01-30_final.stac-item
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_52LGJ_2017-02-04_final.stac-item
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51KWP_2017-02-27_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50JPL_2017-04-14_final.stac-item
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50JQM_2017-04-21_final.stac-item
2017-05-25 11:07:15	ga_s2am_ard_3-2-1_52KCG_2017-05-25_final.stac-item
2017-09-01 11:40:44	ga_s2am_ard_3-2-1_50HMH_2017-09-01_final.stac-item
2017-09-16 10:53:12	ga_s2am_ard_3-2-1_52KHB_2017-09-16_final.stac-item
2017-11-15 10:53:13	ga_s2am_ard_3-2-1_52JGM_2017-11-15_final.stac-item
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_50HQJ_2017-12-17_final.stac-item
2017-12-18 11:02:53	ga_s2am_ard_3-2-1_52JGS_2017-12-18_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVF_2018-02-25_final.stac-item
2018-04-19 11:46:08	ga_s2am_ard_3-2-1_50HPK_2018-04-19_final.stac-item
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JPT_2018-04-22_final.stac-item
2018-05-26 11:31:39	ga_s2am_ard_3-2-1_50HQK_2018-05-26_final.stac-item
2018-06-06 10:57:16	ga_s2am_ard_3-2-1_52JDT_2018-06-06_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50HNK_2018-06-18_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_51KXP_2018-07-15_final.stac-item
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49JFM_2018-08-06_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50HMJ_2018-09-09_final.stac-item
2019-03-22 11:35:39	ga_s2am_ard_3-2-1_51JVH_2019-03-22_final.stac-item
2019-03-23 11:06:08	ga_s2am_ard_3-2-1_52JBL_2019-03-23_final.stac-item
2019-04-08 11:22:09	ga_s2am_ard_3-2-1_52KBG_2019-04-08_final.stac-item
2019-05-14 11:41:59	ga_s2am_ard_3-2-1_51LWC_2019-05-14_final.stac-item
2019-05-20 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-05-20_final.stac-item
2019-07-27 11:25:18	ga_s2am_ard_3-2-1_51JWK_2019-07-27_final.stac-item
2019-08-07 10:56:00	ga_s2am_ard_3-2-1_52JGL_2019-08-07_final.stac-item
2019-12-17 11:33:03	ga_s2am_ard_3-2-1_51KXT_2019-12-17_final.stac-item
2020-01-06 11:32:56	ga_s2am_ard_3-2-1_51KVU_2020-01-06_final.stac-item
2020-02-02 11:22:19	ga_s2am_ard_3-2-1_51KYA_2020-02-02_final.stac-item
2020-02-12 11:22:34	ga_s2am_ard_3-2-1_51KYV_2020-02-12_final.stac-item
2020-03-03 11:22:47	ga_s2am_ard_3-2-1_52KBD_2020-03-03_final.stac-item
2020-03-04 10:52:27	ga_s2am_ard_3-2-1_52KHE_2020-03-04_final.stac-item
2020-03-25 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-03-25_final.stac-item
2020-04-04 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2020-04-04_final.stac-item
2020-04-25 11:35:39	ga_s2am_ard_3-2-1_50JQP_2020-04-25_final.stac-item
2020-05-12 11:22:57	ga_s2am_ard_3-2-1_51KZU_2020-05-12_final.stac-item
2020-05-26 11:05:25	ga_s2am_ard_3-2-1_52JDP_2020-05-26_final.stac-item
2020-05-29 11:13:54	ga_s2am_ard_3-2-1_52KDV_2020-05-29_final.stac-item
2020-08-03 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-08-03_final.stac-item
2020-10-23 11:06:08	ga_s2am_ard_3-2-1_52JDL_2020-10-23_final.stac-item
2020-11-25 11:14:39	ga_s2am_ard_3-2-1_52JBS_2020-11-25_final.stac-item
2020-12-22 11:03:08	ga_s2am_ard_3-2-1_52KHB_2020-12-22_final.stac-item
2021-01-07 11:23:29	ga_s2am_ard_3-2-1_51KXS_2021-01-07_final.stac-item
2021-01-24 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-01-24_final.stac-item
2021-02-03 11:15:21	ga_s2am_ard_3-2-1_52JBP_2021-02-03_final.stac-item
2021-02-05 11:56:13	ga_s2am_ard_3-2-1_50JKM_2021-02-05_final.stac-item
2021-02-12 11:44:00	ga_s2am_ard_3-2-1_50KRV_2021-02-12_final.stac-item
2021-05-14 11:15:51	ga_s2am_ard_3-2-1_52JBM_2021-05-14_final.stac-item
2021-05-24 11:14:53	ga_s2am_ard_3-2-1_52JBR_2021-05-24_final.stac-item
2021-06-03 11:14:36	ga_s2am_ard_3-2-1_52JCS_2021-06-03_final.stac-item
2021-11-14 10:55:47	ga_s2am_ard_3-2-1_52JFM_2021-11-14_final.stac-item
2021-11-22 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-11-22_final.stac-item
2021-12-20 11:11:45	ga_s2am_ard_3-2-1_52LFH_2021-12-20_final.stac-item
2022-01-15 11:32:51	ga_s2am_ard_3-2-1_51KYU_2022-01-15_final.stac-item
2022-02-04 11:31:18	ga_s2am_ard_3-2-1_52LBK_2022-02-04_final.stac-item
2022-02-07 11:43:14	ga_s2am_ard_3-2-1_51KUT_2022-02-07_final.stac-item
2022-02-28 11:12:45	ga_s2am_ard_3-2-1_52KFD_2022-02-28_final.stac-item
2022-03-27 11:06:02	ga_s2am_ard_3-2-1_52JEL_2022-03-27_final.stac-item
2022-03-30 11:14:55	ga_s2am_ard_3-2-1_52JBR_2022-03-30_final.stac-item
2022-04-05 11:36:28	ga_s2am_ard_3-2-1_51HUE_2022-04-05_final.stac-item
2022-04-18 11:44:20	ga_s2am_ard_3-2-1_51KTP_2022-04-18_final.stac-item
2022-04-18 11:46:11	ga_s2am_ard_3-2-1_51JTF_2022-04-18_final.stac-item
2022-04-28 11:43:56	ga_s2am_ard_3-2-1_50KQA_2022-04-28_final.stac-item
2022-04-29 11:14:28	ga_s2am_ard_3-2-1_51JZN_2022-04-29_final.stac-item
2022-06-01 11:22:41	ga_s2am_ard_3-2-1_52KCE_2022-06-01_final.stac-item
2022-06-11 11:25:34	ga_s2am_ard_3-2-1_51JXJ_2022-06-11_final.stac-item
2022-06-18 11:14:20	ga_s2am_ard_3-2-1_52KBU_2022-06-18_final.stac-item
2022-09-15 11:46:58	ga_s2am_ard_3-2-1_50HPJ_2022-09-15_final.stac-item
2022-10-12 11:34:16	ga_s2am_ard_3-2-1_51KWP_2022-10-12_final.stac-item
2022-12-27 13:31:33	ga_s2am_ard_3-2-1_46LHN_2022-12-27_interim
2022-12-31 11:34:09	ga_s2am_ard_3-2-1_51KWP_2022-12-31_final.stac-item
2023-01-06 11:57:05	ga_s2am_ard_3-2-1_50HMH_2023-01-06_final.stac-item
2023-01-16 11:54:30	ga_s2am_ard_3-2-1_50JPT_2023-01-16_final.stac-item
2023-01-27 11:24:16	ga_s2am_ard_3-2-1_52JBT_2023-01-27_final.stac-item
2023-03-05 12:50:57	ga_s2am_ard_3-2-1_48LWP_2023-03-05_final
2023-04-13 11:41:55	ga_s2am_ard_3-2-1_51LWC_2023-04-13_final
2023-05-06 11:56:08	ga_s2am_ard_3-2-1_50JMM_2023-05-06_final
2023-06-09 11:36:23	ga_s2am_ard_3-2-1_50JQL_2023-06-09_final
2023-06-20 11:04:51	ga_s2am_ard_3-2-1_52JER_2023-06-20_final
2023-07-25 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-25_final
2023-08-18 11:31:11	ga_s2am_ard_3-2-1_52LBL_2023-08-18_final
2023-10-30 11:46:00	ga_s2am_ard_3-2-1_50JQM_2023-10-30_final
2023-11-17 11:05:57	ga_s2am_ard_3-2-1_52JEL_2023-11-17_final
2023-12-26 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-12-26_final
2024-01-03 10:54:59	ga_s2am_ard_3-2-1_52JFQ_2024-01-03_final
2024-01-05 11:36:54	ga_s2am_ard_3-2-1_51HUC_2024-01-05_final
2024-01-09 11:11:29	ga_s2am_ard_3-2-1_52LEJ_2024-01-09_final
2024-01-22 11:23:27	ga_s2am_ard_3-2-1_51KYR_2024-01-22_final
2024-01-25 11:32:20	ga_s2am_ard_3-2-1_51KXA_2024-01-25_final
2024-03-12 11:21:39	ga_s2am_ard_3-2-1_52LBJ_2024-03-12_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

All years