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
2015-12-17 12:07:19	ga_s2am_ard_3-2-1_50JMT_2015-12-17_final.stac-item
2015-12-27 12:05:25	ga_s2am_ard_3-2-1_50JMS_2015-12-27_final.stac-item
2016-01-03 11:57:46	ga_s2am_ard_3-2-1_50JPP_2016-01-03_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_49KHP_2016-01-09_final.stac-item
2016-01-09 12:16:04	ga_s2am_ard_3-2-1_50KKV_2016-01-09_final.stac-item
2016-03-16 11:57:24	ga_s2am_ard_3-2-1_50JMR_2016-03-16_final.stac-item
2016-04-15 12:05:35	ga_s2am_ard_3-2-1_50JLM_2016-04-15_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_50JPL_2016-06-25_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMJ_2016-07-01_final.stac-item
2016-07-01 11:48:31	ga_s2am_ard_3-2-1_50HMK_2016-07-01_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50JLL_2016-08-30_final.stac-item
2016-11-11 12:02:48	ga_s2am_ard_3-2-1_49KHQ_2016-11-11_final.stac-item
2017-03-05 11:44:15	ga_s2am_ard_3-2-1_50HLG_2017-03-05_final.stac-item
2017-03-12 11:33:53	ga_s2am_ard_3-2-1_50HPG_2017-03-12_final.stac-item
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50JQN_2017-07-10_final
2017-07-16 11:56:34	ga_s2am_ard_3-2-1_50HMJ_2017-07-16_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQS_2017-08-12_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JQT_2017-08-12_final
2017-08-12 11:40:50	ga_s2am_ard_3-2-1_50JRS_2017-08-12_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JNM_2017-08-15_final
2017-08-31 12:14:41	ga_s2am_ard_3-2-1_49JGM_2017-08-31_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_49KGQ_2017-11-26_final
2017-11-26 12:02:45	ga_s2am_ard_3-2-1_50KLC_2017-11-26_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPQ_2017-12-30_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JPS_2017-12-30_final
2018-05-19 11:45:58	ga_s2am_ard_3-2-1_50HLH_2018-05-19_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HLH_2018-06-01_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HMJ_2018-06-28_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HQH_2018-07-08_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50HMH_2018-07-11_final
2018-08-06 12:13:21	ga_s2am_ard_3-2-1_49KGQ_2018-08-06_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_50JPS_2018-08-07_final
2018-08-13 12:02:49	ga_s2am_ard_3-2-1_50KKB_2018-08-13_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JML_2018-08-20_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49KHS_2018-10-15_final.stac-item
2018-11-05 11:38:57	ga_s2am_ard_3-2-1_50JRT_2018-11-05_final
2018-11-11 12:04:55	ga_s2am_ard_3-2-1_49JGM_2018-11-11_final
2018-12-01 12:03:18	ga_s2am_ard_3-2-1_50KLC_2018-12-01_final
2018-12-22 11:37:18	ga_s2am_ard_3-2-1_50HNG_2018-12-22_final.stac-item
2018-12-28 11:55:39	ga_s2am_ard_3-2-1_50JKP_2018-12-28_final
2019-01-04 11:45:16	ga_s2am_ard_3-2-1_50JPQ_2019-01-04_final
2019-01-07 11:54:57	ga_s2am_ard_3-2-1_50JPR_2019-01-07_final
2019-03-25 11:47:16	ga_s2am_ard_3-2-1_50HPG_2019-03-25_final.stac-item
2019-05-23 12:13:43	ga_s2am_ard_3-2-1_49KHS_2019-05-23_final.stac-item
2019-07-20 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-07-20_final.stac-item
2019-07-30 11:37:31	ga_s2am_ard_3-2-1_50HNG_2019-07-30_final.stac-item
2019-11-27 11:37:17	ga_s2am_ard_3-2-1_50HQG_2019-11-27_final.stac-item
2019-12-26 12:04:22	ga_s2am_ard_3-2-1_50KKU_2019-12-26_final
2019-12-29 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-12-29_final
2019-12-30 11:47:19	ga_s2am_ard_3-2-1_50HMG_2019-12-30_final.stac-item
2020-02-21 11:53:51	ga_s2am_ard_3-2-1_50KMA_2020-02-21_final
2020-03-09 11:45:07	ga_s2am_ard_3-2-1_50JNR_2020-03-09_final
2020-05-04 12:04:10	ga_s2am_ard_3-2-1_50KKV_2020-05-04_final.stac-item
2020-05-08 11:46:38	ga_s2am_ard_3-2-1_50HPK_2020-05-08_final
2020-05-28 11:47:33	ga_s2am_ard_3-2-1_50HLG_2020-05-28_final.stac-item
2020-08-26 11:47:15	ga_s2am_ard_3-2-1_50HMH_2020-08-26_final
2020-11-17 11:53:59	ga_s2am_ard_3-2-1_50KMA_2020-11-17_final
2020-11-24 11:45:23	ga_s2am_ard_3-2-1_50JPQ_2020-11-24_final
2020-11-24 11:45:41	ga_s2am_ard_3-2-1_50JNP_2020-11-24_final
2020-12-24 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2020-12-24_final
2020-12-30 12:05:00	ga_s2am_ard_3-2-1_49JGM_2020-12-30_final
2021-01-26 11:53:57	ga_s2am_ard_3-2-1_50KMA_2021-01-26_final
2021-02-19 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-02-19_final.stac-item
2021-02-25 11:53:56	ga_s2am_ard_3-2-1_50KMA_2021-02-25_final
2021-05-23 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2021-05-23_final
2021-05-23 11:47:15	ga_s2am_ard_3-2-1_50HLH_2021-05-23_final
2021-06-02 11:44:31	ga_s2am_ard_3-2-1_50JRT_2021-06-02_final
2021-06-28 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-06-28_final
2021-07-15 11:56:25	ga_s2am_ard_3-2-1_50JML_2021-07-15_final
2021-08-11 11:47:17	ga_s2am_ard_3-2-1_50HLH_2021-08-11_final
2021-08-21 11:45:14	ga_s2am_ard_3-2-1_50JNR_2021-08-21_final
2021-10-20 11:45:52	ga_s2am_ard_3-2-1_50JQN_2021-10-20_final
2021-12-22 11:57:24	ga_s2am_ard_3-2-1_50HLG_2021-12-22_final.stac-item
2022-03-25 12:04:01	ga_s2am_ard_3-2-1_50KKA_2022-03-25_final
2022-04-15 11:37:29	ga_s2am_ard_3-2-1_50HNG_2022-04-15_final.stac-item
2022-04-18 11:44:56	ga_s2am_ard_3-2-1_50JPS_2022-04-18_final
2022-05-04 12:04:58	ga_s2am_ard_3-2-1_50JLS_2022-05-04_final
2022-08-03 11:37:32	ga_s2am_ard_3-2-1_50HPG_2022-08-03_final.stac-item
2022-08-23 11:34:49	ga_s2am_ard_3-2-1_50JRT_2022-08-23_final.stac-item
2022-08-26 11:47:29	ga_s2am_ard_3-2-1_50HPG_2022-08-26_final.stac-item
2022-11-24 11:44:30	ga_s2am_ard_3-2-1_50JRT_2022-11-24_final.stac-item
2022-12-14 11:44:31	ga_s2am_ard_3-2-1_50JRT_2022-12-14_final.stac-item
2023-01-20 11:34:32	ga_s2am_ard_3-2-1_50JRT_2023-01-20_final.stac-item
2023-02-19 11:37:00	ga_s2am_ard_3-2-1_50HQH_2023-02-19_final.stac-item
2023-03-21 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-03-21_final.stac-item
2023-03-23 12:13:53	ga_s2am_ard_3-2-1_50KKA_2023-03-23_final.stac-item
2023-04-20 11:37:01	ga_s2am_ard_3-2-1_50HQH_2023-04-20_final.stac-item
2023-05-09 12:05:00	ga_s2am_ard_3-2-1_49JGM_2023-05-09_final.stac-item
2023-05-20 11:36:58	ga_s2am_ard_3-2-1_50HPJ_2023-05-20_final.stac-item
2023-05-29 12:05:41	ga_s2am_ard_3-2-1_50JLP_2023-05-29_final.stac-item
2023-07-02 11:44:57	ga_s2am_ard_3-2-1_50JPS_2023-07-02_final.stac-item
2023-08-21 11:47:27	ga_s2am_ard_3-2-1_50HNG_2023-08-21_final.stac-item
2023-08-27 12:04:05	ga_s2am_ard_3-2-1_49KHR_2023-08-27_final.stac-item
2023-09-27 11:37:28	ga_s2am_ard_3-2-1_50HNG_2023-09-27_final.stac-item
2023-11-29 11:44:23	ga_s2am_ard_3-2-1_50JRT_2023-11-29_final.stac-item
2023-12-05 12:05:37	ga_s2am_ard_3-2-1_49JGJ_2023-12-05_final.stac-item
2024-01-11 11:57:17	ga_s2am_ard_3-2-1_50HLG_2024-01-11_final.stac-item
2024-03-25 11:36:59	ga_s2am_ard_3-2-1_50HQH_2024-03-25_final.stac-item
2024-03-25 11:37:27	ga_s2am_ard_3-2-1_50HNG_2024-03-25_final.stac-item
2024-04-07 11:46:52	ga_s2am_ard_3-2-1_50HQH_2024-04-07_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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