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
2015-10-01 12:13:46	ga_s2am_ard_3-2-1_49KFR_2015-10-01_final
2015-12-07 10:22:23	ga_s2am_ard_3-2-1_53HPA_2015-12-07_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JHM_2016-06-04_final.stac-item
2016-06-05 11:32:15	ga_s2am_ard_3-2-1_51JTJ_2016-06-05_final.stac-item
2016-11-29 11:23:19	ga_s2am_ard_3-2-1_51HXD_2016-11-29_final.stac-item
2016-12-12 11:29:02	ga_s2am_ard_3-2-1_51HTC_2016-12-12_final.stac-item
2016-12-23 11:02:53	ga_s2am_ard_3-2-1_52KEU_2016-12-23_final.stac-item
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JYL_2017-01-08_final.stac-item
2017-01-09 10:52:38	ga_s2am_ard_3-2-1_52JGL_2017-01-09_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_50KQB_2017-01-14_final.stac-item
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51JTM_2017-01-14_final.stac-item
2017-02-09 12:02:43	ga_s2am_ard_3-2-1_49KGP_2017-02-09_final.stac-item
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JFM_2017-02-12_final.stac-item
2017-03-13 11:02:50	ga_s2am_ard_3-2-1_52HBK_2017-03-13_final.stac-item
2017-03-19 11:20:49	ga_s2am_ard_3-2-1_51JVK_2017-03-19_final.stac-item
2017-05-23 10:32:14	ga_s2am_ard_3-2-1_53HPA_2017-05-23_final.stac-item
2017-08-13 11:12:03	ga_s2am_ard_3-2-1_51JYH_2017-08-13_final.stac-item
2017-09-07 10:26:36	ga_s2am_ard_3-2-1_53HNB_2017-09-07_final.stac-item
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_51HUC_2017-09-28_final.stac-item
2017-10-10 10:32:09	ga_s2am_ard_3-2-1_53JNL_2017-10-10_final.stac-item
2017-12-11 11:11:56	ga_s2am_ard_3-2-1_51JZN_2017-12-11_final.stac-item
2018-02-24 10:23:25	ga_s2am_ard_3-2-1_53HPE_2018-02-24_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JTF_2018-02-25_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JPR_2018-03-30_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_49KGP_2018-06-04_final.stac-item
2018-06-24 10:17:06	ga_s2am_ard_3-2-1_53HNC_2018-06-24_final.stac-item
2018-09-26 11:42:55	ga_s2am_ard_3-2-1_50JNQ_2018-09-26_final.stac-item
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51JXJ_2018-10-07_final.stac-item
2018-10-08 10:37:24	ga_s2am_ard_3-2-1_53JML_2018-10-08_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JQS_2018-10-26_final.stac-item
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KED_2018-10-27_final.stac-item
2018-12-12 11:36:38	ga_s2am_ard_3-2-1_51HTD_2018-12-12_final.stac-item
2018-12-13 11:00:22	ga_s2am_ard_3-2-1_52LHN_2018-12-13_final.stac-item
2019-03-02 11:34:32	ga_s2am_ard_3-2-1_50JRT_2019-03-02_final.stac-item
2019-03-21 10:26:38	ga_s2am_ard_3-2-1_53HNC_2019-03-21_final.stac-item
2019-04-04 11:47:11	ga_s2am_ard_3-2-1_50HMH_2019-04-04_final.stac-item
2019-08-09 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2019-08-09_final.stac-item
2019-08-16 11:24:26	ga_s2am_ard_3-2-1_51JYN_2019-08-16_final.stac-item
2019-09-27 10:26:51	ga_s2am_ard_3-2-1_53HPB_2019-09-27_final.stac-item
2019-11-20 11:46:16	ga_s2am_ard_3-2-1_50JQL_2019-11-20_final.stac-item
2020-01-09 11:43:56	ga_s2am_ard_3-2-1_50KRV_2020-01-09_final.stac-item
2020-02-05 11:32:38	ga_s2am_ard_3-2-1_51KVV_2020-02-05_final.stac-item
2020-02-21 11:55:21	ga_s2am_ard_3-2-1_50JPP_2020-02-21_final.stac-item
2020-02-26 11:02:50	ga_s2am_ard_3-2-1_52KHC_2020-02-26_final.stac-item
2020-03-03 11:22:33	ga_s2am_ard_3-2-1_51KZV_2020-03-03_final.stac-item
2020-03-15 12:05:40	ga_s2am_ard_3-2-1_49JGJ_2020-03-15_final.stac-item
2020-05-04 12:06:13	ga_s2am_ard_3-2-1_50JKM_2020-05-04_final.stac-item
2020-05-30 10:45:46	ga_s2am_ard_3-2-1_53JLG_2020-05-30_final.stac-item
2020-08-09 11:56:42	ga_s2am_ard_3-2-1_50HMK_2020-08-09_final.stac-item
2020-10-15 11:42:43	ga_s2am_ard_3-2-1_51KUA_2020-10-15_final.stac-item
2020-11-10 10:26:40	ga_s2am_ard_3-2-1_53HPC_2020-11-10_final.stac-item
2020-12-08 11:22:39	ga_s2am_ard_3-2-1_51KYV_2020-12-08_final.stac-item
2020-12-22 11:03:08	ga_s2am_ard_3-2-1_52KHB_2020-12-22_final.stac-item
2021-01-16 11:53:22	ga_s2am_ard_3-2-1_50KPC_2021-01-16_final.stac-item
2021-02-10 11:03:48	ga_s2am_ard_3-2-1_52KEV_2021-02-10_final.stac-item
2021-03-05 11:15:33	ga_s2am_ard_3-2-1_52JCN_2021-03-05_final.stac-item
2021-03-05 11:16:40	ga_s2am_ard_3-2-1_51HXD_2021-03-05_final.stac-item
2021-04-10 11:36:58	ga_s2am_ard_3-2-1_50HQH_2021-04-10_final.stac-item
2021-04-12 12:14:03	ga_s2am_ard_3-2-1_49KHQ_2021-04-12_final.stac-item
2021-04-22 10:36:06	ga_s2am_ard_3-2-1_53HME_2021-04-22_final.stac-item
2021-05-30 11:34:55	ga_s2am_ard_3-2-1_51JWL_2021-05-30_final.stac-item
2021-06-03 11:14:03	ga_s2am_ard_3-2-1_52KDU_2021-06-03_final.stac-item
2021-06-09 11:33:49	ga_s2am_ard_3-2-1_51KUR_2021-06-09_final.stac-item
2021-06-16 11:24:44	ga_s2am_ard_3-2-1_52JBR_2021-06-16_final.stac-item
2021-10-01 11:16:41	ga_s2am_ard_3-2-1_51HYD_2021-10-01_final.stac-item
2021-10-15 10:55:44	ga_s2am_ard_3-2-1_53JKG_2021-10-15_final.stac-item
2022-01-15 11:32:44	ga_s2am_ard_3-2-1_51KWV_2022-01-15_final.stac-item
2022-01-16 11:04:33	ga_s2am_ard_3-2-1_52JES_2022-01-16_final.stac-item
2022-01-19 11:16:20	ga_s2am_ard_3-2-1_52HBK_2022-01-19_final.stac-item
2022-02-16 10:36:07	ga_s2am_ard_3-2-1_53HNE_2022-02-16_final.stac-item
2022-04-01 11:54:54	ga_s2am_ard_3-2-1_50JNS_2022-04-01_final.stac-item
2022-05-18 11:44:07	ga_s2am_ard_3-2-1_50KRV_2022-05-18_final.stac-item
2022-05-22 11:24:33	ga_s2am_ard_3-2-1_51JXN_2022-05-22_final.stac-item
2022-06-01 11:23:51	ga_s2am_ard_3-2-1_51KXR_2022-06-01_final.stac-item
2022-06-27 11:42:58	ga_s2am_ard_3-2-1_51KUV_2022-06-27_final.stac-item
2022-07-19 10:45:38	ga_s2am_ard_3-2-1_53JLH_2022-07-19_final.stac-item
2022-08-02 12:06:20	ga_s2am_ard_3-2-1_50JKM_2022-08-02_final.stac-item
2022-10-15 11:47:11	ga_s2am_ard_3-2-1_50HNH_2022-10-15_final.stac-item
2022-11-12 11:02:00	ga_s2am_ard_3-2-1_52KHG_2022-11-12_final.stac-item
2022-11-25 11:13:47	ga_s2am_ard_3-2-1_52KDV_2022-11-25_final.stac-item
2022-12-08 11:26:44	ga_s2am_ard_3-2-1_51HVD_2022-12-08_final.stac-item
2023-01-04 11:10:42	ga_s2am_ard_3-2-1_52LGM_2023-01-04_final.stac-item
2023-01-04 11:12:49	ga_s2am_ard_3-2-1_52KDD_2023-01-04_final.stac-item
2023-02-23 11:14:27	ga_s2am_ard_3-2-1_51JYN_2023-02-23_final
2023-02-27 10:52:42	ga_s2am_ard_3-2-1_52KHD_2023-02-27_final
2023-03-03 10:36:47	ga_s2am_ard_3-2-1_53HNB_2023-03-03_final
2023-03-28 11:25:01	ga_s2am_ard_3-2-1_51JVL_2023-03-28_final
2023-04-13 11:43:18	ga_s2am_ard_3-2-1_51KTT_2023-04-13_final
2023-06-08 12:05:55	ga_s2am_ard_3-2-1_50JLN_2023-06-08_final
2023-06-18 12:04:40	ga_s2am_ard_3-2-1_50JMT_2023-06-18_final
2023-06-30 11:04:00	ga_s2am_ard_3-2-1_52KGU_2023-06-30_final
2023-07-05 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-07-05_final
2023-11-15 10:27:04	ga_s2am_ard_3-2-1_53HPA_2023-11-15_final
2024-01-06 11:01:24	ga_s2am_ard_3-2-1_52LHJ_2024-01-06_final
2024-01-18 11:41:46	ga_s2am_ard_3-2-1_51LWC_2024-01-18_final
2024-02-21 11:22:21	ga_s2am_ard_3-2-1_51KZA_2024-02-21_final
2024-02-24 11:36:32	ga_s2am_ard_3-2-1_50HQK_2024-02-24_final
2024-03-12 11:24:51	ga_s2am_ard_3-2-1_51JYL_2024-03-12_final
2024-04-26 10:37:00	ga_s2am_ard_3-2-1_53HPA_2024-04-26_final
2024-05-05 11:06:36	ga_s2am_ard_3-2-1_52HBJ_2024-05-05_nrt

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

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