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
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JML_2016-03-20_final.stac-item
2016-03-20 11:42:13	ga_s2am_ard_3-2-1_50JPS_2016-03-20_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JKP_2016-05-15_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50JPP_2016-05-22_final.stac-item
2016-09-22 12:04:37	ga_s2am_ard_3-2-1_49JGL_2016-09-22_final.stac-item
2016-10-05 12:13:17	ga_s2am_ard_3-2-1_49JGM_2016-10-05_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50HMK_2016-10-09_final.stac-item
2016-12-21 12:04:53	ga_s2am_ard_3-2-1_49JGL_2016-12-21_final
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HLJ_2016-12-28_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49KGP_2017-02-12_final
2017-08-05 11:51:57	ga_s2am_ard_3-2-1_50JNL_2017-08-05_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50HMJ_2017-08-15_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMH_2017-12-03_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50HPH_2018-01-19_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_50JPL_2018-02-25_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HPJ_2018-03-17_final
2018-03-23 11:53:37	ga_s2am_ard_3-2-1_50JMM_2018-03-23_final
2018-04-12 11:53:08	ga_s2am_ard_3-2-1_50HMJ_2018-04-12_final
2018-04-15 12:05:11	ga_s2am_ard_3-2-1_49JGJ_2018-04-15_final
2018-05-15 12:03:35	ga_s2am_ard_3-2-1_50JKN_2018-05-15_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JMM_2018-06-28_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JNN_2018-08-20_final
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50JML_2018-09-19_final
2018-09-23 11:33:04	ga_s2am_ard_3-2-1_50HNG_2018-09-23_final.stac-item
2018-09-29 11:53:46	ga_s2am_ard_3-2-1_50HLH_2018-09-29_final
2018-10-02 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-10-02_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLN_2018-10-19_final
2018-11-05 11:45:30	ga_s2am_ard_3-2-1_50HPJ_2018-11-05_final
2018-12-11 12:05:21	ga_s2am_ard_3-2-1_49JGK_2018-12-11_final
2018-12-15 11:46:14	ga_s2am_ard_3-2-1_50JNL_2018-12-15_final
2019-01-03 12:13:34	ga_s2am_ard_3-2-1_49KHS_2019-01-03_final.stac-item
2019-01-13 12:14:52	ga_s2am_ard_3-2-1_49JGM_2019-01-13_final
2019-02-06 11:56:12	ga_s2am_ard_3-2-1_50JLM_2019-02-06_final
2019-05-17 11:56:33	ga_s2am_ard_3-2-1_50HNK_2019-05-17_final
2019-06-06 11:56:53	ga_s2am_ard_3-2-1_50HMJ_2019-06-06_final
2019-07-16 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-16_final
2019-08-28 12:04:32	ga_s2am_ard_3-2-1_49KGP_2019-08-28_final
2019-09-04 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2019-09-04_final
2019-09-11 11:46:50	ga_s2am_ard_3-2-1_50HNJ_2019-09-11_final
2019-10-31 11:46:55	ga_s2am_ard_3-2-1_50HNJ_2019-10-31_final
2019-11-26 12:05:55	ga_s2am_ard_3-2-1_50JKN_2019-11-26_final
2019-12-29 12:14:54	ga_s2am_ard_3-2-1_49JFM_2019-12-29_final
2020-01-12 11:57:00	ga_s2am_ard_3-2-1_50HMH_2020-01-12_final
2020-01-16 11:36:46	ga_s2am_ard_3-2-1_50HPJ_2020-01-16_final
2020-02-01 11:56:39	ga_s2am_ard_3-2-1_50HMJ_2020-02-01_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-03-18 12:13:51	ga_s2am_ard_3-2-1_49KHR_2020-03-18_final
2020-04-25 11:37:08	ga_s2am_ard_3-2-1_50HPH_2020-04-25_final
2020-05-28 11:46:32	ga_s2am_ard_3-2-1_50JML_2020-05-28_final
2020-06-16 12:14:04	ga_s2am_ard_3-2-1_49KGR_2020-06-16_final
2020-07-07 11:46:45	ga_s2am_ard_3-2-1_50HMK_2020-07-07_final
2020-09-28 11:56:02	ga_s2am_ard_3-2-1_50JLN_2020-09-28_final
2020-12-07 11:56:49	ga_s2am_ard_3-2-1_50HMJ_2020-12-07_final
2020-12-07 11:57:03	ga_s2am_ard_3-2-1_50HMH_2020-12-07_final
2020-12-20 12:03:57	ga_s2am_ard_3-2-1_49KHR_2020-12-20_final
2021-03-03 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-03-03_final
2021-03-13 12:14:59	ga_s2am_ard_3-2-1_49JFM_2021-03-13_final
2021-04-09 12:05:33	ga_s2am_ard_3-2-1_50JLP_2021-04-09_final
2021-04-10 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2021-04-10_final
2021-04-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2021-04-23_final
2021-06-28 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-06-28_final
2021-06-28 12:05:28	ga_s2am_ard_3-2-1_50JKQ_2021-06-28_final
2021-07-31 12:14:01	ga_s2am_ard_3-2-1_49KGR_2021-07-31_final
2021-09-03 11:56:52	ga_s2am_ard_3-2-1_50HMJ_2021-09-03_final
2021-09-16 12:05:02	ga_s2am_ard_3-2-1_49JGM_2021-09-16_final
2021-11-02 11:55:46	ga_s2am_ard_3-2-1_50JLP_2021-11-02_final
2021-11-25 12:05:29	ga_s2am_ard_3-2-1_49JGK_2021-11-25_final
2021-12-05 12:05:40	ga_s2am_ard_3-2-1_50JKP_2021-12-05_final
2021-12-18 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-12-18_final
2022-03-28 12:14:44	ga_s2am_ard_3-2-1_49JGN_2022-03-28_final
2022-05-11 11:54:55	ga_s2am_ard_3-2-1_50JNS_2022-05-11_final
2022-08-19 11:56:49	ga_s2am_ard_3-2-1_50HMK_2022-08-19_final
2022-08-19 11:57:18	ga_s2am_ard_3-2-1_50HMH_2022-08-19_final
2022-09-18 11:56:49	ga_s2am_ard_3-2-1_50HLK_2022-09-18_final.stac-item
2022-10-18 11:56:54	ga_s2am_ard_3-2-1_50HMJ_2022-10-18_final.stac-item
2022-11-10 12:05:44	ga_s2am_ard_3-2-1_50JKP_2022-11-10_final.stac-item
2022-11-17 11:56:27	ga_s2am_ard_3-2-1_50JLL_2022-11-17_final.stac-item
2022-12-13 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-13_final.stac-item
2022-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-20_final.stac-item
2022-12-27 11:57:19	ga_s2am_ard_3-2-1_50HMG_2022-12-27_final.stac-item
2023-02-05 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-02-05_final.stac-item
2023-02-15 11:56:23	ga_s2am_ard_3-2-1_50JLL_2023-02-15_final.stac-item
2023-02-25 11:56:52	ga_s2am_ard_3-2-1_50HLJ_2023-02-25_final.stac-item
2023-03-20 12:05:42	ga_s2am_ard_3-2-1_49JGJ_2023-03-20_final.stac-item
2023-04-06 11:56:40	ga_s2am_ard_3-2-1_50HLK_2023-04-06_final.stac-item
2023-05-16 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-05-16_final.stac-item
2023-06-09 11:37:25	ga_s2am_ard_3-2-1_50HPG_2023-06-09_final.stac-item
2023-06-28 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-28_final.stac-item
2023-09-07 11:37:08	ga_s2am_ard_3-2-1_50HQH_2023-09-07_final.stac-item
2023-10-13 11:56:28	ga_s2am_ard_3-2-1_50HNK_2023-10-13_final.stac-item
2023-10-13 11:57:04	ga_s2am_ard_3-2-1_50HMH_2023-10-13_final.stac-item
2023-11-15 12:04:45	ga_s2am_ard_3-2-1_49JGN_2023-11-15_final.stac-item
2023-12-06 11:37:11	ga_s2am_ard_3-2-1_50HQG_2023-12-06_final.stac-item
2024-01-21 11:55:52	ga_s2am_ard_3-2-1_50JKN_2024-01-21_final.stac-item
2024-01-21 11:57:12	ga_s2am_ard_3-2-1_50HMG_2024-01-21_final.stac-item
2024-03-07 12:15:00	ga_s2am_ard_3-2-1_49JFM_2024-03-07_final.stac-item
2024-03-14 12:05:41	ga_s2am_ard_3-2-1_50JKP_2024-03-14_final.stac-item
2024-03-17 12:13:55	ga_s2am_ard_3-2-1_49KHR_2024-03-17_final.stac-item
2024-04-03 12:05:39	ga_s2am_ard_3-2-1_50JKP_2024-04-03_final.stac-item
2024-04-13 12:04:01	ga_s2am_ard_3-2-1_49KHR_2024-04-13_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

All years