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 12:05:25	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-01-06 12:05:24	ga_s2am_ard_3-2-1_49JGL_2016-01-06_final.stac-item
2016-01-26 12:05:20	ga_s2am_ard_3-2-1_49JGK_2016-01-26_final.stac-item
2016-02-12 11:56:22	ga_s2am_ard_3-2-1_50JLL_2016-02-12_final.stac-item
2016-08-06 12:13:25	ga_s2am_ard_3-2-1_49KGQ_2016-08-06_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50HMH_2016-08-10_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50HLH_2016-10-29_final.stac-item
2016-12-05 11:46:51	ga_s2am_ard_3-2-1_50HMH_2016-12-05_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HMH_2016-12-08_final
2017-03-01 12:04:35	ga_s2am_ard_3-2-1_49JGN_2017-03-01_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JLM_2017-05-27_final
2017-07-10 11:34:59	ga_s2am_ard_3-2-1_50JPL_2017-07-10_final
2017-09-28 11:30:00	ga_s2am_ard_3-2-1_50JPL_2017-09-28_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JHN_2017-10-07_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMK_2017-10-24_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50JKN_2017-10-24_final
2017-11-27 11:31:32	ga_s2am_ard_3-2-1_50HPK_2017-11-27_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50HMH_2017-12-03_final
2017-12-16 12:02:44	ga_s2am_ard_3-2-1_49JGM_2017-12-16_final
2017-12-23 11:53:56	ga_s2am_ard_3-2-1_50HMJ_2017-12-23_final
2018-03-19 12:13:18	ga_s2am_ard_3-2-1_49KHR_2018-03-19_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HLH_2018-03-20_final
2018-03-20 11:44:19	ga_s2am_ard_3-2-1_50HNK_2018-03-20_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_50HPK_2018-05-06_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50JMM_2018-06-01_final
2018-07-11 11:51:05	ga_s2am_ard_3-2-1_50JKN_2018-07-11_final
2018-07-27 12:13:22	ga_s2am_ard_3-2-1_49KHR_2018-07-27_final
2018-09-05 12:13:19	ga_s2am_ard_3-2-1_49KHS_2018-09-05_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50JKM_2018-09-09_final
2018-10-15 12:13:18	ga_s2am_ard_3-2-1_49JGM_2018-10-15_final
2018-10-16 11:45:53	ga_s2am_ard_3-2-1_50HNH_2018-10-16_final
2018-11-18 11:55:50	ga_s2am_ard_3-2-1_50JLN_2018-11-18_final
2018-11-28 11:56:57	ga_s2am_ard_3-2-1_50HMH_2018-11-28_final
2018-12-05 11:46:43	ga_s2am_ard_3-2-1_50HNJ_2018-12-05_final
2018-12-05 11:46:47	ga_s2am_ard_3-2-1_50HMJ_2018-12-05_final
2019-01-03 12:13:49	ga_s2am_ard_3-2-1_49KHR_2019-01-03_final
2019-02-19 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-19_final
2019-03-05 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2019-03-05_final
2019-04-04 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-04-04_final
2019-04-04 11:46:53	ga_s2am_ard_3-2-1_50HNJ_2019-04-04_final
2019-05-10 12:03:48	ga_s2am_ard_3-2-1_49KHS_2019-05-10_final.stac-item
2019-06-09 12:05:40	ga_s2am_ard_3-2-1_50JLP_2019-06-09_final
2019-06-13 11:47:20	ga_s2am_ard_3-2-1_50HPG_2019-06-13_final.stac-item
2019-06-16 11:56:25	ga_s2am_ard_3-2-1_50JML_2019-06-16_final
2019-06-29 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2019-06-29_final
2019-09-11 11:46:32	ga_s2am_ard_3-2-1_50HPK_2019-09-11_final
2019-11-20 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-11-20_final
2019-12-20 11:46:49	ga_s2am_ard_3-2-1_50HMJ_2019-12-20_final
2019-12-30 11:46:57	ga_s2am_ard_3-2-1_50HPH_2019-12-30_final
2020-01-09 11:46:32	ga_s2am_ard_3-2-1_50HNK_2020-01-09_final
2020-01-19 11:47:18	ga_s2am_ard_3-2-1_50HMG_2020-01-19_final.stac-item
2020-01-29 11:47:07	ga_s2am_ard_3-2-1_50HLH_2020-01-29_final
2020-04-04 12:05:52	ga_s2am_ard_3-2-1_50JKN_2020-04-04_final
2020-04-18 11:47:24	ga_s2am_ard_3-2-1_50HMG_2020-04-18_final.stac-item
2020-05-04 12:04:08	ga_s2am_ard_3-2-1_49KHR_2020-05-04_final
2020-05-18 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-18_final
2020-06-20 11:56:05	ga_s2am_ard_3-2-1_50JKN_2020-06-20_final
2020-08-12 12:05:29	ga_s2am_ard_3-2-1_50JLQ_2020-08-12_final
2020-08-16 11:47:16	ga_s2am_ard_3-2-1_50HMH_2020-08-16_final
2020-10-08 11:56:17	ga_s2am_ard_3-2-1_50JLM_2020-10-08_final
2020-11-04 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-11-04_final.stac-item
2020-12-14 11:47:14	ga_s2am_ard_3-2-1_50HPG_2020-12-14_final.stac-item
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2021-01-16 11:57:21	ga_s2am_ard_3-2-1_50HMG_2021-01-16_final.stac-item
2021-01-19 12:05:42	ga_s2am_ard_3-2-1_50JKP_2021-01-19_final
2021-01-26 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-01-26_final
2021-03-20 12:05:54	ga_s2am_ard_3-2-1_50JKN_2021-03-20_final
2021-04-23 11:46:36	ga_s2am_ard_3-2-1_50HMK_2021-04-23_final
2021-04-29 12:04:58	ga_s2am_ard_3-2-1_49JGM_2021-04-29_final
2021-05-06 11:56:03	ga_s2am_ard_3-2-1_50JNM_2021-05-06_final
2021-05-10 11:36:37	ga_s2am_ard_3-2-1_50HPK_2021-05-10_final
2021-07-11 12:13:43	ga_s2am_ard_3-2-1_49KHS_2021-07-11_final.stac-item
2021-07-25 11:56:00	ga_s2am_ard_3-2-1_50JLN_2021-07-25_final
2021-08-11 11:46:28	ga_s2am_ard_3-2-1_50JML_2021-08-11_final
2021-08-11 11:46:51	ga_s2am_ard_3-2-1_50HPJ_2021-08-11_final
2021-09-10 11:46:41	ga_s2am_ard_3-2-1_50HMK_2021-09-10_final
2021-09-26 12:05:04	ga_s2am_ard_3-2-1_49JGM_2021-09-26_final
2021-11-12 11:56:01	ga_s2am_ard_3-2-1_50JKN_2021-11-12_final
2022-03-15 12:05:04	ga_s2am_ard_3-2-1_49JGM_2022-03-15_final
2022-03-22 11:56:21	ga_s2am_ard_3-2-1_50JNL_2022-03-22_final
2022-04-28 11:47:01	ga_s2am_ard_3-2-1_50HMJ_2022-04-28_final
2022-07-07 11:46:32	ga_s2am_ard_3-2-1_50JPL_2022-07-07_final
2022-07-30 11:56:17	ga_s2am_ard_3-2-1_50JMM_2022-07-30_final
2022-08-13 11:37:04	ga_s2am_ard_3-2-1_50HPJ_2022-08-13_final
2022-09-18 11:56:31	ga_s2am_ard_3-2-1_50JML_2022-09-18_final.stac-item
2022-12-10 12:05:41	ga_s2am_ard_3-2-1_50JKP_2022-12-10_final.stac-item
2022-12-10 12:05:56	ga_s2am_ard_3-2-1_50JKN_2022-12-10_final.stac-item
2022-12-20 12:04:59	ga_s2am_ard_3-2-1_49JGM_2022-12-20_final.stac-item
2023-01-26 11:57:03	ga_s2am_ard_3-2-1_50HMH_2023-01-26_final.stac-item
2023-04-03 11:45:24	ga_s2am_ard_3-2-1_50JNQ_2023-04-03_final.stac-item
2023-06-05 11:56:11	ga_s2am_ard_3-2-1_50JMM_2023-06-05_final.stac-item
2023-06-28 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-28_final.stac-item
2023-07-05 11:55:15	ga_s2am_ard_3-2-1_50JMR_2023-07-05_final.stac-item
2023-07-29 11:36:39	ga_s2am_ard_3-2-1_50HQK_2023-07-29_final.stac-item
2023-09-09 12:15:15	ga_s2am_ard_3-2-1_49JGL_2023-09-09_final.stac-item
2023-09-20 11:46:36	ga_s2am_ard_3-2-1_50HPK_2023-09-20_final.stac-item
2023-10-30 11:46:19	ga_s2am_ard_3-2-1_50JPL_2023-10-30_final.stac-item
2023-12-18 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-12-18_final.stac-item
2023-12-25 12:05:12	ga_s2am_ard_3-2-1_49JGL_2023-12-25_final.stac-item
2023-12-29 11:46:27	ga_s2am_ard_3-2-1_50HQK_2023-12-29_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