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 11:46:57	ga_s2am_ard_3-2-1_50HLH_2015-10-22_final.stac-item
2015-11-14 11:54:02	ga_s2am_ard_3-2-1_50HMH_2015-11-14_final.stac-item
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50JNR_2015-12-04_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JLS_2016-01-03_final.stac-item
2016-04-25 12:04:45	ga_s2am_ard_3-2-1_50JLR_2016-04-25_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JNN_2016-05-09_final.stac-item
2016-05-09 11:40:18	ga_s2am_ard_3-2-1_50JPM_2016-05-09_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JNN_2016-05-22_final.stac-item
2016-08-13 12:04:45	ga_s2am_ard_3-2-1_49JHM_2016-08-13_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLQ_2016-09-19_final.stac-item
2016-10-22 12:02:45	ga_s2am_ard_3-2-1_50JLM_2016-10-22_final.stac-item
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50JLQ_2017-03-11_final.stac-item
2017-04-10 12:04:40	ga_s2am_ard_3-2-1_49JHM_2017-04-10_final.stac-item
2017-06-19 12:02:49	ga_s2am_ard_3-2-1_49JHN_2017-06-19_final.stac-item
2017-07-23 11:45:09	ga_s2am_ard_3-2-1_50JPM_2017-07-23_final.stac-item
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KHQ_2017-11-26_final.stac-item
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_49KGQ_2018-01-25_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_50JPL_2018-01-26_final.stac-item
2018-02-24 12:02:46	ga_s2am_ard_3-2-1_49JHM_2018-02-24_final.stac-item
2018-03-30 11:44:57	ga_s2am_ard_3-2-1_50JPM_2018-03-30_final.stac-item
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JLS_2018-04-25_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JLR_2018-05-02_final.stac-item
2018-05-02 11:53:21	ga_s2am_ard_3-2-1_50JNS_2018-05-02_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50HMK_2018-06-08_final.stac-item
2018-06-25 11:32:58	ga_s2am_ard_3-2-1_50HQK_2018-06-25_final.stac-item
2018-07-01 11:52:21	ga_s2am_ard_3-2-1_50HMK_2018-07-01_final.stac-item
2018-07-15 11:32:59	ga_s2am_ard_3-2-1_50HQK_2018-07-15_final.stac-item
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JNP_2018-08-07_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JKR_2018-08-13_final.stac-item
2018-08-13 12:04:05	ga_s2am_ard_3-2-1_50JLS_2018-08-13_final.stac-item
2018-10-06 11:40:38	ga_s2am_ard_3-2-1_50JNN_2018-10-06_final.stac-item
2019-01-14 11:46:36	ga_s2am_ard_3-2-1_50HMK_2019-01-14_final.stac-item
2019-02-06 11:56:33	ga_s2am_ard_3-2-1_50HMK_2019-02-06_final.stac-item
2019-02-19 12:05:22	ga_s2am_ard_3-2-1_50JKQ_2019-02-19_final.stac-item
2019-03-25 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2019-03-25_final.stac-item
2019-03-25 11:46:04	ga_s2am_ard_3-2-1_50JNM_2019-03-25_final.stac-item
2019-03-31 12:04:39	ga_s2am_ard_3-2-1_50JLT_2019-03-31_final.stac-item
2019-04-17 11:55:15	ga_s2am_ard_3-2-1_50JLR_2019-04-17_final.stac-item
2019-04-30 12:04:17	ga_s2am_ard_3-2-1_49KHQ_2019-04-30_final.stac-item
2019-07-29 12:06:09	ga_s2am_ard_3-2-1_50JLM_2019-07-29_final.stac-item
2019-09-17 12:04:13	ga_s2am_ard_3-2-1_49KHQ_2019-09-17_final.stac-item
2019-09-17 12:04:56	ga_s2am_ard_3-2-1_50JKS_2019-09-17_final.stac-item
2019-10-04 11:55:12	ga_s2am_ard_3-2-1_50JMR_2019-10-04_final.stac-item
2019-10-07 12:04:16	ga_s2am_ard_3-2-1_49KHQ_2019-10-07_final.stac-item
2020-01-12 11:56:31	ga_s2am_ard_3-2-1_50HMK_2020-01-12_final.stac-item
2020-01-19 11:45:59	ga_s2am_ard_3-2-1_50JPM_2020-01-19_final.stac-item
2020-01-25 12:05:19	ga_s2am_ard_3-2-1_50JKQ_2020-01-25_final.stac-item
2020-02-11 11:54:30	ga_s2am_ard_3-2-1_50JNT_2020-02-11_final.stac-item
2020-04-01 11:55:34	ga_s2am_ard_3-2-1_50JMP_2020-04-01_final.stac-item
2020-05-11 11:55:54	ga_s2am_ard_3-2-1_50JNN_2020-05-11_final.stac-item
2020-06-03 12:05:32	ga_s2am_ard_3-2-1_50JKQ_2020-06-03_final.stac-item
2020-06-27 11:45:12	ga_s2am_ard_3-2-1_50JPR_2020-06-27_final.stac-item
2020-09-08 11:55:53	ga_s2am_ard_3-2-1_50JNN_2020-09-08_final.stac-item
2020-10-05 11:46:14	ga_s2am_ard_3-2-1_50JNM_2020-10-05_final.stac-item
2020-11-07 11:56:41	ga_s2am_ard_3-2-1_50HMK_2020-11-07_final.stac-item
2020-12-07 11:56:34	ga_s2am_ard_3-2-1_50HMK_2020-12-07_final.stac-item
2021-01-13 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-01-13_final.stac-item
2021-03-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2021-03-17_final.stac-item
2021-03-20 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-03-20_final.stac-item
2021-03-21 11:36:33	ga_s2am_ard_3-2-1_50HQK_2021-03-21_final.stac-item
2021-03-24 11:45:49	ga_s2am_ard_3-2-1_50JPN_2021-03-24_final.stac-item
2021-04-23 11:45:32	ga_s2am_ard_3-2-1_50JPP_2021-04-23_final.stac-item
2021-05-26 11:56:37	ga_s2am_ard_3-2-1_50HMK_2021-05-26_final.stac-item
2021-06-01 12:14:19	ga_s2am_ard_3-2-1_49KHP_2021-06-01_final.stac-item
2021-06-22 11:46:42	ga_s2am_ard_3-2-1_50HMK_2021-06-22_final.stac-item
2021-08-27 12:05:25	ga_s2am_ard_3-2-1_50JLQ_2021-08-27_final.stac-item
2021-09-23 11:55:52	ga_s2am_ard_3-2-1_50JNN_2021-09-23_final.stac-item
2021-10-30 11:47:19	ga_s2am_ard_3-2-1_50HLH_2021-10-30_final.stac-item
2021-11-08 12:14:12	ga_s2am_ard_3-2-1_49KHQ_2021-11-08_final.stac-item
2021-11-15 12:04:58	ga_s2am_ard_3-2-1_50JKS_2021-11-15_final.stac-item
2021-12-19 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-12-19_final.stac-item
2022-01-14 12:05:13	ga_s2am_ard_3-2-1_50JKR_2022-01-14_final.stac-item
2022-02-17 11:46:42	ga_s2am_ard_3-2-1_50HMK_2022-02-17_final.stac-item
2022-03-09 11:46:45	ga_s2am_ard_3-2-1_50HMK_2022-03-09_final.stac-item
2022-04-24 12:05:31	ga_s2am_ard_3-2-1_50JKQ_2022-04-24_final.stac-item
2022-05-01 11:56:41	ga_s2am_ard_3-2-1_50HMK_2022-05-01_final.stac-item
2022-05-28 11:46:48	ga_s2am_ard_3-2-1_50HMK_2022-05-28_final.stac-item
2022-06-10 11:55:12	ga_s2am_ard_3-2-1_50JPR_2022-06-10_final.stac-item
2022-09-18 11:55:00	ga_s2am_ard_3-2-1_50JNS_2022-09-18_final.stac-item
2022-10-01 12:05:33	ga_s2am_ard_3-2-1_50JKQ_2022-10-01_final.stac-item
2022-10-31 12:04:39	ga_s2am_ard_3-2-1_50JMT_2022-10-31_final.stac-item
2022-12-20 12:04:34	ga_s2am_ard_3-2-1_50JMT_2022-12-20_final.stac-item
2023-01-09 12:03:43	ga_s2am_ard_3-2-1_49KHS_2023-01-09_final
2023-01-20 11:36:29	ga_s2am_ard_3-2-1_50HQK_2023-01-20_final.stac-item
2023-02-02 11:45:23	ga_s2am_ard_3-2-1_50JNQ_2023-02-02_final
2023-02-05 11:54:36	ga_s2am_ard_3-2-1_50JNT_2023-02-05_final
2023-02-08 12:04:12	ga_s2am_ard_3-2-1_49KHQ_2023-02-08_final
2023-02-08 12:04:56	ga_s2am_ard_3-2-1_49JHM_2023-02-08_final
2023-02-08 12:04:56	ga_s2am_ard_3-2-1_50JKS_2023-02-08_final
2023-03-10 12:04:34	ga_s2am_ard_3-2-1_50JLT_2023-03-10_final
2023-06-12 11:46:59	ga_s2am_ard_3-2-1_50HMJ_2023-06-12_final
2023-07-15 11:56:56	ga_s2am_ard_3-2-1_50HMJ_2023-07-15_final
2023-08-11 11:47:29	ga_s2am_ard_3-2-1_50HMG_2023-08-11_final
2023-10-06 12:04:58	ga_s2am_ard_3-2-1_49JHM_2023-10-06_final
2023-10-30 11:45:53	ga_s2am_ard_3-2-1_50JNN_2023-10-30_final
2023-11-02 11:55:47	ga_s2am_ard_3-2-1_50JMN_2023-11-02_final
2023-11-12 11:55:15	ga_s2am_ard_3-2-1_50JPQ_2023-11-12_final
2023-12-19 11:45:46	ga_s2am_ard_3-2-1_50JPN_2023-12-19_final
2023-12-22 11:57:16	ga_s2am_ard_3-2-1_50HMG_2023-12-22_final
2024-01-14 12:05:16	ga_s2am_ard_3-2-1_50JLQ_2024-01-14_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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