Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels. For these ARD products, this value comes from the Fmask algorithm. 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 (e.g. ‘epsg:32654’) :

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. from:

Ground sampling distance of the sensor’s best resolution band in metres; represents the size (or spatial resolution) of one pixel. to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon. 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm 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 from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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) 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. For Sentinel it is MGRS code. :

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless to (exclusive):

Unique identifier for a datastrip relative to a given Datatake. (e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’) :

ESA product URI, with the '.SAFE' ending removed. (e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845') :

Granule ID according to the ESA naming convention (e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’) :

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-02-18 12:14:37	ga_s2am_ard_3-2-1_49JGL_2016-02-18_final.stac-item
2016-04-18 12:13:45	ga_s2am_ard_3-2-1_50KKA_2016-04-18_final.stac-item
2016-04-19 11:37:58	ga_s2am_ard_3-2-1_50HMJ_2016-04-19_final.stac-item
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-08_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HNK_2016-06-11_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JLN_2016-09-19_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50JNM_2016-10-26_final.stac-item
2016-11-19 11:19:19	ga_s2am_ard_3-2-1_51HUC_2016-11-19_final
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50KKA_2016-12-11_final
2017-04-03 12:13:18	ga_s2am_ard_3-2-1_49KHR_2017-04-03_final.stac-item
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLP_2017-08-25_final
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50KRC_2017-09-21_final
2017-12-17 11:32:07	ga_s2am_ard_3-2-1_51HTC_2017-12-17_final
2017-12-23 11:49:15	ga_s2am_ard_3-2-1_50KNB_2017-12-23_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_49JGM_2018-04-25_final
2018-06-15 11:32:57	ga_s2am_ard_3-2-1_50HQG_2018-06-15_final.stac-item
2018-07-24 12:02:50	ga_s2am_ard_3-2-1_50JKP_2018-07-24_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HPJ_2018-09-23_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50KNC_2018-10-09_final
2018-12-11 12:04:52	ga_s2am_ard_3-2-1_49JGM_2018-12-11_final
2018-12-21 12:04:19	ga_s2am_ard_3-2-1_50KKU_2018-12-21_final
2019-01-10 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-01-10_final
2019-01-31 11:36:40	ga_s2am_ard_3-2-1_51HUD_2019-01-31_final
2019-03-01 12:05:36	ga_s2am_ard_3-2-1_50JKP_2019-03-01_final
2019-03-04 12:13:49	ga_s2am_ard_3-2-1_50KKA_2019-03-04_final
2019-03-28 11:57:09	ga_s2am_ard_3-2-1_50HLH_2019-03-28_final
2019-03-31 12:03:23	ga_s2am_ard_3-2-1_50KMC_2019-03-31_final
2019-04-21 11:37:20	ga_s2am_ard_3-2-1_50HQG_2019-04-21_final.stac-item
2019-04-27 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-04-27_final.stac-item
2019-05-07 11:53:21	ga_s2am_ard_3-2-1_50KQC_2019-05-07_final
2019-07-20 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-20_final
2019-08-22 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2019-08-22_final
2019-09-18 11:36:48	ga_s2am_ard_3-2-1_50HQJ_2019-09-18_final
2019-10-27 12:03:44	ga_s2am_ard_3-2-1_50KLB_2019-10-27_final
2019-11-26 12:05:55	ga_s2am_ard_3-2-1_50JKN_2019-11-26_final
2019-12-06 12:05:49	ga_s2am_ard_3-2-1_50JLN_2019-12-06_final
2019-12-20 11:47:08	ga_s2am_ard_3-2-1_50HLH_2019-12-20_final
2020-01-25 12:05:34	ga_s2am_ard_3-2-1_50JKP_2020-01-25_final
2020-01-26 11:36:50	ga_s2am_ard_3-2-1_51HUC_2020-01-26_final
2020-02-07 12:13:46	ga_s2am_ard_3-2-1_50KKA_2020-02-07_final
2020-02-18 11:46:02	ga_s2am_ard_3-2-1_50JNM_2020-02-18_final
2020-03-08 12:13:35	ga_s2am_ard_3-2-1_50KKB_2020-03-08_final
2020-03-26 11:36:48	ga_s2am_ard_3-2-1_50HPJ_2020-03-26_final
2020-04-08 11:47:23	ga_s2am_ard_3-2-1_50HNG_2020-04-08_final.stac-item
2020-05-07 12:13:58	ga_s2am_ard_3-2-1_50KKA_2020-05-07_final
2020-05-28 11:47:12	ga_s2am_ard_3-2-1_50HNH_2020-05-28_final
2020-06-03 12:04:13	ga_s2am_ard_3-2-1_50KKV_2020-06-03_final
2020-06-13 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-06-13_final
2020-07-03 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-07-03_final
2020-09-01 12:06:00	ga_s2am_ard_3-2-1_50JKN_2020-09-01_final
2020-12-10 12:05:34	ga_s2am_ard_3-2-1_50JLP_2020-12-10_final
2020-12-14 11:43:15	ga_s2am_ard_3-2-1_50KRC_2020-12-14_final
2020-12-21 11:37:16	ga_s2am_ard_3-2-1_50HQG_2020-12-21_final.stac-item
2021-01-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-01-03_final
2021-03-10 12:04:42	ga_s2am_ard_3-2-1_49JHN_2021-03-10_final
2021-04-09 12:03:36	ga_s2am_ard_3-2-1_50KLB_2021-04-09_final
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_50KKA_2021-04-22_final
2021-06-18 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-06-18_final
2021-06-22 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-06-22_final
2021-07-05 11:52:22	ga_s2am_ard_3-2-1_50KQG_2021-07-05_final.stac-item
2021-07-05 11:55:59	ga_s2am_ard_3-2-1_50JLN_2021-07-05_final
2021-07-09 11:37:00	ga_s2am_ard_3-2-1_51HUC_2021-07-09_final
2021-07-18 12:03:23	ga_s2am_ard_3-2-1_50KNC_2021-07-18_final
2021-08-01 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-08-01_final
2021-08-18 11:35:39	ga_s2am_ard_3-2-1_50JQP_2021-08-18_final
2021-11-15 12:05:56	ga_s2am_ard_3-2-1_50JKN_2021-11-15_final
2022-01-18 11:43:19	ga_s2am_ard_3-2-1_50KRC_2022-01-18_final
2022-04-07 12:14:42	ga_s2am_ard_3-2-1_49JGN_2022-04-07_final
2022-04-11 11:53:19	ga_s2am_ard_3-2-1_50KQC_2022-04-11_final
2022-05-27 12:15:03	ga_s2am_ard_3-2-1_49JGM_2022-05-27_final
2022-07-13 12:04:46	ga_s2am_ard_3-2-1_50KKU_2022-07-13_final
2022-07-14 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-07-14_final
2022-08-03 11:37:08	ga_s2am_ard_3-2-1_51HUC_2022-08-03_final
2022-11-03 12:15:00	ga_s2am_ard_3-2-1_49JGM_2022-11-03_final.stac-item
2022-11-07 11:53:21	ga_s2am_ard_3-2-1_50KQC_2022-11-07_final.stac-item
2022-11-30 12:03:44	ga_s2am_ard_3-2-1_50KKB_2022-11-30_final.stac-item
2022-12-17 11:53:10	ga_s2am_ard_3-2-1_50KRC_2022-12-17_final.stac-item
2023-01-13 11:43:16	ga_s2am_ard_3-2-1_50KRC_2023-01-13_final.stac-item
2023-01-29 12:03:42	ga_s2am_ard_3-2-1_50KKB_2023-01-29_final.stac-item
2023-02-08 12:05:36	ga_s2am_ard_3-2-1_50JLP_2023-02-08_final.stac-item
2023-02-18 12:03:20	ga_s2am_ard_3-2-1_50KMC_2023-02-18_final.stac-item
2023-03-11 11:36:38	ga_s2am_ard_3-2-1_51HUD_2023-03-11_final.stac-item
2023-03-27 11:55:58	ga_s2am_ard_3-2-1_50JKN_2023-03-27_final.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-06-25 11:56:29	ga_s2am_ard_3-2-1_50JLL_2023-06-25_final.stac-item
2023-07-19 11:37:07	ga_s2am_ard_3-2-1_50HQH_2023-07-19_final.stac-item
2023-08-10 12:13:58	ga_s2am_ard_3-2-1_50KKA_2023-08-10_final.stac-item
2023-08-14 11:52:25	ga_s2am_ard_3-2-1_50KQG_2023-08-14_final.stac-item
2023-09-09 12:13:59	ga_s2am_ard_3-2-1_50KKA_2023-09-09_final.stac-item
2023-09-10 11:46:28	ga_s2am_ard_3-2-1_50JNL_2023-09-10_final.stac-item
2023-09-19 12:13:57	ga_s2am_ard_3-2-1_50KKA_2023-09-19_final.stac-item
2023-10-10 11:47:09	ga_s2am_ard_3-2-1_50HMH_2023-10-10_final.stac-item
2023-11-02 11:53:09	ga_s2am_ard_3-2-1_50KRC_2023-11-02_final.stac-item
2023-11-02 11:56:10	ga_s2am_ard_3-2-1_50JLM_2023-11-02_final.stac-item
2023-12-22 11:55:55	ga_s2am_ard_3-2-1_50JKN_2023-12-22_final.stac-item
2024-01-05 11:36:23	ga_s2am_ard_3-2-1_50JPL_2024-01-05_final.stac-item
2024-01-21 11:56:44	ga_s2am_ard_3-2-1_50HLJ_2024-01-21_final.stac-item
2024-02-17 11:43:02	ga_s2am_ard_3-2-1_50KRD_2024-02-17_final.stac-item
2024-04-11 11:27:02	ga_s2am_ard_3-2-1_51HUC_2024-04-11_final.stac-item

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

Inland water

Land and vegetation

Sea, ocean and coast

Hazards

Other products

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