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
2015-10-22 11:38:10	ga_s2am_ard_3-2-1_50JNM_2015-10-22_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_49KHP_2015-12-17_final.stac-item
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JLN_2015-12-17_final.stac-item
2016-02-05 12:04:38	ga_s2am_ard_3-2-1_50JKS_2016-02-05_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50JNN_2016-04-02_final.stac-item
2016-05-06 11:36:08	ga_s2am_ard_3-2-1_50JQL_2016-05-06_final.stac-item
2016-07-08 11:40:16	ga_s2am_ard_3-2-1_50JPN_2016-07-08_final.stac-item
2016-09-02 12:04:42	ga_s2am_ard_3-2-1_50JKS_2016-09-02_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLT_2016-09-19_final.stac-item
2016-09-26 11:40:08	ga_s2am_ard_3-2-1_50JQM_2016-09-26_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50JMM_2016-10-16_final.stac-item
2016-10-23 11:29:20	ga_s2am_ard_3-2-1_50JQL_2016-10-23_final.stac-item
2017-02-20 11:27:48	ga_s2am_ard_3-2-1_50HPK_2017-02-20_final.stac-item
2017-02-26 11:52:43	ga_s2am_ard_3-2-1_50HMH_2017-02-26_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50JPT_2017-03-18_final.stac-item
2017-05-13 12:13:38	ga_s2am_ard_3-2-1_49JGL_2017-05-13_final.stac-item
2017-06-09 12:04:43	ga_s2am_ard_3-2-1_49JGN_2017-06-09_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49JGN_2017-11-26_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JHN_2017-12-16_final.stac-item
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49KHP_2017-12-16_final.stac-item
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPP_2017-12-30_final.stac-item
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50JPR_2018-01-19_final.stac-item
2018-02-01 11:49:16	ga_s2am_ard_3-2-1_50JLS_2018-02-01_final.stac-item
2018-02-05 11:35:59	ga_s2am_ard_3-2-1_50JQM_2018-02-05_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_50JKR_2018-02-24_final.stac-item
2018-03-06 12:02:46	ga_s2am_ard_3-2-1_50JKQ_2018-03-06_final.stac-item
2018-09-06 11:40:28	ga_s2am_ard_3-2-1_50JNQ_2018-09-06_final.stac-item
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_50JPS_2018-10-26_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_50JMT_2018-11-01_final.stac-item
2019-04-07 11:56:38	ga_s2am_ard_3-2-1_50HMK_2019-04-07_final.stac-item
2019-04-20 12:05:29	ga_s2am_ard_3-2-1_50JKQ_2019-04-20_final.stac-item
2019-05-20 12:05:00	ga_s2am_ard_3-2-1_49JHM_2019-05-20_final.stac-item
2019-05-24 11:45:53	ga_s2am_ard_3-2-1_50JPN_2019-05-24_final.stac-item
2019-06-09 12:04:42	ga_s2am_ard_3-2-1_50JLT_2019-06-09_final.stac-item
2019-07-03 11:47:00	ga_s2am_ard_3-2-1_50HMJ_2019-07-03_final.stac-item
2019-07-06 11:55:54	ga_s2am_ard_3-2-1_50JNN_2019-07-06_final.stac-item
2019-08-12 11:46:44	ga_s2am_ard_3-2-1_50HMK_2019-08-12_final.stac-item
2019-08-15 11:55:27	ga_s2am_ard_3-2-1_50JMQ_2019-08-15_final.stac-item
2019-10-04 11:55:18	ga_s2am_ard_3-2-1_50JPQ_2019-10-04_final.stac-item
2019-11-10 11:46:11	ga_s2am_ard_3-2-1_50JNM_2019-11-10_final.stac-item
2019-11-16 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2019-11-16_final.stac-item
2019-11-17 11:36:28	ga_s2am_ard_3-2-1_50JPL_2019-11-17_final.stac-item
2020-04-08 11:46:53	ga_s2am_ard_3-2-1_50HMJ_2020-04-08_final.stac-item
2020-05-05 11:35:54	ga_s2am_ard_3-2-1_50JQN_2020-05-05_final.stac-item
2020-05-08 11:45:11	ga_s2am_ard_3-2-1_50JPR_2020-05-08_final.stac-item
2020-06-23 12:04:52	ga_s2am_ard_3-2-1_49JGN_2020-06-23_final.stac-item
2020-07-27 11:45:52	ga_s2am_ard_3-2-1_50JQN_2020-07-27_final.stac-item
2020-10-18 11:54:57	ga_s2am_ard_3-2-1_50JNS_2020-10-18_final.stac-item
2020-10-31 12:05:17	ga_s2am_ard_3-2-1_50JKR_2020-10-31_final.stac-item
2020-11-07 11:55:32	ga_s2am_ard_3-2-1_50JLQ_2020-11-07_final.stac-item
2020-11-24 11:46:42	ga_s2am_ard_3-2-1_50HMK_2020-11-24_final.stac-item
2021-01-03 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2021-01-03_final.stac-item
2021-01-13 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-01-13_final.stac-item
2021-01-30 11:36:35	ga_s2am_ard_3-2-1_50HQK_2021-01-30_final.stac-item
2021-02-08 12:04:48	ga_s2am_ard_3-2-1_50JMS_2021-02-08_final.stac-item
2021-02-15 11:54:47	ga_s2am_ard_3-2-1_50JPS_2021-02-15_final.stac-item
2021-02-22 11:46:12	ga_s2am_ard_3-2-1_50JMM_2021-02-22_final.stac-item
2021-04-16 11:54:38	ga_s2am_ard_3-2-1_50JLT_2021-04-16_final.stac-item
2021-06-15 11:55:50	ga_s2am_ard_3-2-1_50JNN_2021-06-15_final.stac-item
2021-07-05 11:55:30	ga_s2am_ard_3-2-1_50JLQ_2021-07-05_final.stac-item
2021-08-04 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2021-08-04_final.stac-item
2021-08-24 11:55:15	ga_s2am_ard_3-2-1_50JLR_2021-08-24_final.stac-item
2021-09-13 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-09-13_final.stac-item
2021-10-06 12:04:23	ga_s2am_ard_3-2-1_49KGQ_2021-10-06_final.stac-item
2021-10-30 11:45:29	ga_s2am_ard_3-2-1_50JNQ_2021-10-30_final.stac-item
2021-11-05 12:05:26	ga_s2am_ard_3-2-1_50JLQ_2021-11-05_final.stac-item
2021-11-29 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-11-29_final.stac-item
2021-12-08 12:14:07	ga_s2am_ard_3-2-1_49KHQ_2021-12-08_final.stac-item
2022-01-14 12:04:14	ga_s2am_ard_3-2-1_49KHQ_2022-01-14_final.stac-item
2022-02-03 12:05:26	ga_s2am_ard_3-2-1_50JKQ_2022-02-03_final.stac-item
2022-02-06 12:14:08	ga_s2am_ard_3-2-1_49KHQ_2022-02-06_final.stac-item
2022-04-08 11:44:38	ga_s2am_ard_3-2-1_50JPT_2022-04-08_final.stac-item
2022-04-28 11:46:10	ga_s2am_ard_3-2-1_50JPM_2022-04-28_final.stac-item
2022-08-13 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2022-08-13_final.stac-item
2022-08-29 11:55:04	ga_s2am_ard_3-2-1_50JNS_2022-08-29_final.stac-item
2022-09-25 11:46:01	ga_s2am_ard_3-2-1_50JNN_2022-09-25_final.stac-item
2022-10-01 12:04:47	ga_s2am_ard_3-2-1_50JLT_2022-10-01_final.stac-item
2022-10-05 11:45:57	ga_s2am_ard_3-2-1_50JPN_2022-10-05_final.stac-item
2022-10-08 11:56:47	ga_s2am_ard_3-2-1_50HLK_2022-10-08_final.stac-item
2022-11-04 11:46:34	ga_s2am_ard_3-2-1_50HQK_2022-11-04_final.stac-item
2022-11-17 11:55:08	ga_s2am_ard_3-2-1_50JNR_2022-11-17_final.stac-item
2022-11-17 11:55:22	ga_s2am_ard_3-2-1_50JNQ_2022-11-17_final.stac-item
2022-11-20 12:04:58	ga_s2am_ard_3-2-1_50JKS_2022-11-20_final.stac-item
2023-02-18 12:05:23	ga_s2am_ard_3-2-1_50JKQ_2023-02-18_final
2023-03-10 12:05:21	ga_s2am_ard_3-2-1_50JKQ_2023-03-10_final
2023-04-06 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2023-04-06_final
2023-05-16 11:56:37	ga_s2am_ard_3-2-1_50HMK_2023-05-16_final
2023-06-08 12:03:48	ga_s2am_ard_3-2-1_49KHS_2023-06-08_final
2023-07-02 11:47:25	ga_s2am_ard_3-2-1_50HNG_2023-07-02_final
2023-08-04 11:54:57	ga_s2am_ard_3-2-1_50JNS_2023-08-04_final
2023-09-26 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2023-09-26_final
2023-10-07 11:36:27	ga_s2am_ard_3-2-1_50JPL_2023-10-07_final
2023-10-23 11:56:26	ga_s2am_ard_3-2-1_50HNK_2023-10-23_final
2023-11-15 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-11-15_final
2023-11-29 11:45:42	ga_s2am_ard_3-2-1_50JPN_2023-11-29_final
2023-12-22 11:54:54	ga_s2am_ard_3-2-1_50JLS_2023-12-22_final
2024-01-01 11:56:33	ga_s2am_ard_3-2-1_50HMK_2024-01-01_final
2024-01-31 11:54:53	ga_s2am_ard_3-2-1_50JLS_2024-01-31_final
2024-03-01 11:54:58	ga_s2am_ard_3-2-1_50JLS_2024-03-01_final
2024-04-17 11:45:24	ga_s2am_ard_3-2-1_50JPQ_2024-04-17_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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