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
2015-08-28 10:53:21	ga_s2am_ard_3-2-1_53KKR_2015-08-28_final.stac-item
2015-12-30 10:32:41	ga_s2am_ard_3-2-1_53KQA_2015-12-30_final.stac-item
2016-01-29 10:30:47	ga_s2am_ard_3-2-1_53HQE_2016-01-29_final.stac-item
2016-04-28 12:13:47	ga_s2am_ard_3-2-1_50KKA_2016-04-28_final.stac-item
2016-07-14 10:18:58	ga_s2am_ard_3-2-1_54LXJ_2016-07-14_final.stac-item
2016-10-19 11:56:02	ga_s2am_ard_3-2-1_50JKM_2016-10-19_final.stac-item
2016-11-06 11:14:16	ga_s2am_ard_3-2-1_51JYN_2016-11-06_final.stac-item
2016-12-20 10:52:10	ga_s2am_ard_3-2-1_52KHD_2016-12-20_final.stac-item
2017-02-04 11:08:11	ga_s2am_ard_3-2-1_51HYD_2017-02-04_final.stac-item
2017-02-15 10:37:21	ga_s2am_ard_3-2-1_53KRB_2017-02-15_final
2017-02-16 11:52:25	ga_s2am_ard_3-2-1_50JLR_2017-02-16_final.stac-item
2017-03-07 10:42:59	ga_s2am_ard_3-2-1_52JGM_2017-03-07_final.stac-item
2017-03-08 10:10:59	ga_s2am_ard_3-2-1_54JXT_2017-03-08_final.stac-item
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_54KTV_2017-05-23_final.stac-item
2017-05-28 11:26:12	ga_s2am_ard_3-2-1_51JUF_2017-05-28_final.stac-item
2017-08-08 12:04:43	ga_s2am_ard_3-2-1_50JKR_2017-08-08_final.stac-item
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50HQJ_2017-08-12_final.stac-item
2017-08-15 10:13:18	ga_s2am_ard_3-2-1_54HWH_2017-08-15_final.stac-item
2017-10-02 11:12:12	ga_s2am_ard_3-2-1_52KCC_2017-10-02_final.stac-item
2017-10-07 10:23:05	ga_s2am_ard_3-2-1_54JVM_2017-10-07_final.stac-item
2018-03-29 10:30:36	ga_s2am_ard_3-2-1_54KTU_2018-03-29_final.stac-item
2018-05-20 11:11:46	ga_s2am_ard_3-2-1_52JCM_2018-05-20_final.stac-item
2018-06-27 12:13:22	ga_s2am_ard_3-2-1_49JFM_2018-06-27_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_50KKU_2018-08-23_final.stac-item
2018-12-08 10:16:55	ga_s2am_ard_3-2-1_54HTF_2018-12-08_final.stac-item
2018-12-08 11:53:09	ga_s2am_ard_3-2-1_50KQC_2018-12-08_final.stac-item
2018-12-14 10:36:09	ga_s2am_ard_3-2-1_53HPD_2018-12-14_final.stac-item
2019-01-13 12:13:54	ga_s2am_ard_3-2-1_49KGR_2019-01-13_final.stac-item
2019-03-05 11:45:34	ga_s2am_ard_3-2-1_50JNP_2019-03-05_final.stac-item
2019-03-29 09:48:08	ga_s2am_ard_3-2-1_54GYA_2019-03-29_final.stac-item
2019-04-06 10:46:01	ga_s2am_ard_3-2-1_52JGL_2019-04-06_final.stac-item
2019-04-10 12:03:39	ga_s2am_ard_3-2-1_50KMB_2019-04-10_final.stac-item
2019-04-21 11:33:41	ga_s2am_ard_3-2-1_51KXR_2019-04-21_final.stac-item
2019-04-30 10:25:06	ga_s2am_ard_3-2-1_54JTP_2019-04-30_final.stac-item
2019-05-17 10:12:47	ga_s2am_ard_3-2-1_54KXC_2019-05-17_final.stac-item
2019-07-21 11:04:52	ga_s2am_ard_3-2-1_52JER_2019-07-21_final.stac-item
2019-09-27 10:24:20	ga_s2am_ard_3-2-1_53JRM_2019-09-27_final.stac-item
2019-10-10 12:15:02	ga_s2am_ard_3-2-1_49JFM_2019-10-10_final.stac-item
2019-11-20 11:46:16	ga_s2am_ard_3-2-1_50JQL_2019-11-20_final.stac-item
2020-01-03 11:25:51	ga_s2am_ard_3-2-1_51JWG_2020-01-03_final.stac-item
2020-02-15 11:33:17	ga_s2am_ard_3-2-1_51KXS_2020-02-15_final.stac-item
2020-03-29 10:07:32	ga_s2am_ard_3-2-1_54HXC_2020-03-29_final.stac-item
2020-04-25 11:36:07	ga_s2am_ard_3-2-1_50JQM_2020-04-25_final.stac-item
2020-06-16 10:34:10	ga_s2am_ard_3-2-1_53JQN_2020-06-16_final.stac-item
2020-08-22 10:24:39	ga_s2am_ard_3-2-1_54JTR_2020-08-22_final.stac-item
2020-09-02 11:34:07	ga_s2am_ard_3-2-1_51KUQ_2020-09-02_final.stac-item
2020-09-05 11:43:48	ga_s2am_ard_3-2-1_51KUR_2020-09-05_final.stac-item
2020-09-21 12:05:34	ga_s2am_ard_3-2-1_49JGK_2020-09-21_final.stac-item
2020-10-23 11:03:04	ga_s2am_ard_3-2-1_52KGC_2020-10-23_final.stac-item
2020-12-13 10:35:27	ga_s2am_ard_3-2-1_53JQG_2020-12-13_final.stac-item
2020-12-21 11:33:26	ga_s2am_ard_3-2-1_51KWS_2020-12-21_final.stac-item
2021-02-05 11:54:04	ga_s2am_ard_3-2-1_50KPV_2021-02-05_final.stac-item
2021-02-05 11:55:46	ga_s2am_ard_3-2-1_50JKP_2021-02-05_final.stac-item
2021-02-26 11:24:01	ga_s2am_ard_3-2-1_51KWQ_2021-02-26_final.stac-item
2021-03-13 12:13:58	ga_s2am_ard_3-2-1_49KGR_2021-03-13_final.stac-item
2021-03-19 10:52:30	ga_s2am_ard_3-2-1_52KHE_2021-03-19_final.stac-item
2021-04-13 10:06:55	ga_s2am_ard_3-2-1_54HVF_2021-04-13_final.stac-item
2021-05-20 11:32:40	ga_s2am_ard_3-2-1_51KXV_2021-05-20_final.stac-item
2021-06-10 11:04:01	ga_s2am_ard_3-2-1_52KFU_2021-06-10_final.stac-item
2021-06-14 10:45:37	ga_s2am_ard_3-2-1_53JMG_2021-06-14_final.stac-item
2021-06-28 12:06:06	ga_s2am_ard_3-2-1_50JLM_2021-06-28_final.stac-item
2021-07-12 11:45:35	ga_s2am_ard_3-2-1_50JQP_2021-07-12_final.stac-item
2021-07-22 11:42:49	ga_s2am_ard_3-2-1_51KUV_2021-07-22_final.stac-item
2021-08-02 11:13:29	ga_s2am_ard_3-2-1_52KBB_2021-08-02_final.stac-item
2021-08-03 10:41:48	ga_s2am_ard_3-2-1_53KRB_2021-08-03_final
2021-08-20 10:36:48	ga_s2am_ard_3-2-1_53HPB_2021-08-20_final.stac-item
2021-09-17 11:36:59	ga_s2am_ard_3-2-1_51HUC_2021-09-17_final.stac-item
2021-10-18 11:00:50	ga_s2am_ard_3-2-1_52LHM_2021-10-18_final.stac-item
2021-11-16 11:33:31	ga_s2am_ard_3-2-1_51KVS_2021-11-16_final.stac-item
2021-11-23 11:24:04	ga_s2am_ard_3-2-1_51KZP_2021-11-23_final.stac-item
2021-12-27 11:01:53	ga_s2am_ard_3-2-1_53KLB_2021-12-27_final.stac-item
2022-02-06 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2022-02-06_final.stac-item
2022-03-28 10:33:55	ga_s2am_ard_3-2-1_53KPP_2022-03-28_final.stac-item
2022-04-05 11:32:45	ga_s2am_ard_3-2-1_51KWV_2022-04-05_final.stac-item
2022-04-15 11:32:58	ga_s2am_ard_3-2-1_51KXU_2022-04-15_final.stac-item
2022-05-02 09:48:00	ga_s2am_ard_3-2-1_54HYB_2022-05-02_final.stac-item
2022-08-02 10:24:01	ga_s2am_ard_3-2-1_53KRP_2022-08-02_final.stac-item
2022-08-25 10:34:49	ga_s2am_ard_3-2-1_53JPL_2022-08-25_final.stac-item
2022-09-01 10:24:14	ga_s2am_ard_3-2-1_54JUT_2022-09-01_final.stac-item
2022-09-16 11:13:43	ga_s2am_ard_3-2-1_52KDA_2022-09-16_final.stac-item
2022-10-13 11:04:05	ga_s2am_ard_3-2-1_52KFU_2022-10-13_final.stac-item
2022-10-25 10:07:06	ga_s2am_ard_3-2-1_54HYE_2022-10-25_final.stac-item
2022-12-28 11:23:01	ga_s2am_ard_3-2-1_52KCC_2022-12-28_final.stac-item
2023-01-22 10:36:24	ga_s2am_ard_3-2-1_53HLD_2023-01-22_final.stac-item
2023-03-08 11:23:45	ga_s2am_ard_3-2-1_52KBV_2023-03-08_final
2023-05-07 11:23:43	ga_s2am_ard_3-2-1_51KXR_2023-05-07_final
2023-05-16 10:17:04	ga_s2am_ard_3-2-1_54HWE_2023-05-16_final
2023-05-22 10:33:52	ga_s2am_ard_3-2-1_53KQP_2023-05-22_final
2023-05-27 11:23:46	ga_s2am_ard_3-2-1_51KXR_2023-05-27_final
2023-06-06 11:24:08	ga_s2am_ard_3-2-1_52KBU_2023-06-06_final
2023-06-22 10:05:12	ga_s2am_ard_3-2-1_54JYN_2023-06-22_final
2023-06-27 10:53:17	ga_s2am_ard_3-2-1_53KKS_2023-06-27_final
2023-06-27 10:54:01	ga_s2am_ard_3-2-1_53KKP_2023-06-27_final
2023-07-06 11:24:46	ga_s2am_ard_3-2-1_51JXM_2023-07-06_final
2023-11-06 11:34:14	ga_s2am_ard_3-2-1_51KVP_2023-11-06_final
2023-12-24 10:55:42	ga_s2am_ard_3-2-1_52JFM_2023-12-24_final
2023-12-31 10:45:49	ga_s2am_ard_3-2-1_53JKG_2023-12-31_final
2024-01-02 11:24:12	ga_s2am_ard_3-2-1_51KWP_2024-01-02_final
2024-01-03 10:54:23	ga_s2am_ard_3-2-1_53JKM_2024-01-03_final
2024-01-22 11:22:00	ga_s2am_ard_3-2-1_52KBG_2024-01-22_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