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
2015-12-18 11:36:25	ga_s2am_ard_3-2-1_50JPL_2015-12-18_final.stac-item
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQF_2016-04-02_final.stac-item
2016-04-18 12:14:43	ga_s2am_ard_3-2-1_49JGN_2016-04-18_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50JML_2016-05-29_final.stac-item
2016-06-11 11:48:29	ga_s2am_ard_3-2-1_50HMG_2016-06-11_final.stac-item
2016-08-10 11:48:22	ga_s2am_ard_3-2-1_50KQD_2016-08-10_final.stac-item
2016-08-18 11:10:59	ga_s2am_ard_3-2-1_51HXD_2016-08-18_final.stac-item
2016-08-20 11:56:10	ga_s2am_ard_3-2-1_50JLL_2016-08-20_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JKP_2016-09-19_final.stac-item
2016-10-30 11:18:19	ga_s2am_ard_3-2-1_51JZN_2016-10-30_final.stac-item
2016-12-28 11:55:47	ga_s2am_ard_3-2-1_50HMJ_2016-12-28_final
2016-12-31 12:02:43	ga_s2am_ard_3-2-1_50KKB_2016-12-31_final
2017-04-27 11:49:47	ga_s2am_ard_3-2-1_50KQG_2017-04-27_final.stac-item
2017-06-22 12:13:20	ga_s2am_ard_3-2-1_49JGL_2017-06-22_final
2017-10-07 12:03:46	ga_s2am_ard_3-2-1_49JGM_2017-10-07_final
2017-10-17 12:02:48	ga_s2am_ard_3-2-1_49JGM_2017-10-17_final
2017-12-06 12:03:42	ga_s2am_ard_3-2-1_50KKA_2017-12-06_final
2017-12-14 11:26:04	ga_s2am_ard_3-2-1_51JUF_2017-12-14_final
2018-02-08 11:40:45	ga_s2am_ard_3-2-1_50KRD_2018-02-08_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51HVC_2018-03-04_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50HNG_2018-06-28_final.stac-item
2018-07-05 11:35:08	ga_s2am_ard_3-2-1_50HPG_2018-07-05_final.stac-item
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPH_2018-07-28_final
2018-07-28 11:45:46	ga_s2am_ard_3-2-1_50HPK_2018-07-28_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50JNN_2018-08-20_final
2018-09-17 11:13:02	ga_s2am_ard_3-2-1_51HYE_2018-09-17_final
2018-09-29 11:48:21	ga_s2am_ard_3-2-1_50KQG_2018-09-29_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50JQL_2018-10-13_final
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_51JVK_2018-10-13_final
2018-12-28 11:56:07	ga_s2am_ard_3-2-1_50JKM_2018-12-28_final
2018-12-31 12:03:17	ga_s2am_ard_3-2-1_50KMC_2018-12-31_final
2019-01-24 11:46:16	ga_s2am_ard_3-2-1_50JPL_2019-01-24_final
2019-01-27 11:53:14	ga_s2am_ard_3-2-1_50KQC_2019-01-27_final
2019-01-30 12:03:41	ga_s2am_ard_3-2-1_50KKB_2019-01-30_final
2019-02-09 12:05:52	ga_s2am_ard_3-2-1_50JKN_2019-02-09_final
2019-05-28 11:26:50	ga_s2am_ard_3-2-1_51HUD_2019-05-28_final
2019-06-14 11:17:02	ga_s2am_ard_3-2-1_51HWC_2019-06-14_final.stac-item
2019-06-30 11:36:42	ga_s2am_ard_3-2-1_50HPK_2019-06-30_final
2019-06-30 11:37:26	ga_s2am_ard_3-2-1_50HPG_2019-06-30_final.stac-item
2019-09-04 11:53:10	ga_s2am_ard_3-2-1_50KRC_2019-09-04_final
2019-09-05 11:27:01	ga_s2am_ard_3-2-1_51HUC_2019-09-05_final
2019-10-15 11:27:01	ga_s2am_ard_3-2-1_51HVC_2019-10-15_final
2019-11-17 11:37:26	ga_s2am_ard_3-2-1_50HNG_2019-11-17_final.stac-item
2019-11-26 12:05:29	ga_s2am_ard_3-2-1_49JGK_2019-11-26_final
2020-04-05 11:35:16	ga_s2am_ard_3-2-1_51JWJ_2020-04-05_final
2020-04-18 11:43:18	ga_s2am_ard_3-2-1_51KTT_2020-04-18_final
2020-04-18 11:46:01	ga_s2am_ard_3-2-1_50JNM_2020-04-18_final
2020-04-24 12:05:39	ga_s2am_ard_3-2-1_50JLP_2020-04-24_final
2020-04-28 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2020-04-28_final
2020-05-24 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-05-24_final
2020-06-07 11:46:44	ga_s2am_ard_3-2-1_50HNK_2020-06-07_final
2020-07-10 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-07-10_final
2020-07-17 11:47:26	ga_s2am_ard_3-2-1_50HNG_2020-07-17_final.stac-item
2020-07-26 12:13:45	ga_s2am_ard_3-2-1_50KKB_2020-07-26_final
2020-08-10 11:26:24	ga_s2am_ard_3-2-1_51JUF_2020-08-10_final
2020-09-05 11:47:29	ga_s2am_ard_3-2-1_50HMG_2020-09-05_final.stac-item
2020-10-26 11:17:04	ga_s2am_ard_3-2-1_51HWC_2020-10-26_final.stac-item
2020-11-05 11:16:45	ga_s2am_ard_3-2-1_51HXD_2020-11-05_final
2020-12-04 11:43:17	ga_s2am_ard_3-2-1_51KTT_2020-12-04_final
2021-01-03 11:43:19	ga_s2am_ard_3-2-1_50KRC_2021-01-03_final
2021-01-16 11:56:00	ga_s2am_ard_3-2-1_50JKN_2021-01-16_final
2021-04-13 11:42:58	ga_s2am_ard_3-2-1_51KTU_2021-04-13_final
2021-04-14 11:16:17	ga_s2am_ard_3-2-1_51HYE_2021-04-14_final
2021-04-29 12:05:38	ga_s2am_ard_3-2-1_50JKP_2021-04-29_final
2021-05-06 11:56:09	ga_s2am_ard_3-2-1_50JLM_2021-05-06_final
2021-05-13 11:46:33	ga_s2am_ard_3-2-1_50HPK_2021-05-13_final
2021-06-16 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-06-16_final
2021-07-05 11:55:55	ga_s2am_ard_3-2-1_50JMN_2021-07-05_final
2021-07-19 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2021-07-19_final
2021-07-25 11:56:58	ga_s2am_ard_3-2-1_50HLJ_2021-07-25_final
2021-08-17 12:05:40	ga_s2am_ard_3-2-1_50JLP_2021-08-17_final
2021-11-03 11:24:55	ga_s2am_ard_3-2-1_51JYL_2021-11-03_final
2021-12-12 11:56:25	ga_s2am_ard_3-2-1_50JLL_2021-12-12_final
2022-01-29 11:14:23	ga_s2am_ard_3-2-1_51JZN_2022-01-29_final
2022-04-01 11:54:42	ga_s2am_ard_3-2-1_50JMT_2022-04-01_final
2022-04-22 11:27:03	ga_s2am_ard_3-2-1_51HVC_2022-04-22_final
2022-05-11 11:56:15	ga_s2am_ard_3-2-1_50JLM_2022-05-11_final
2022-07-27 11:43:14	ga_s2am_ard_3-2-1_50KRD_2022-07-27_final
2022-09-09 11:25:35	ga_s2am_ard_3-2-1_51JXJ_2022-09-09_final.stac-item
2022-09-09 11:26:26	ga_s2am_ard_3-2-1_51JVF_2022-09-09_final.stac-item
2022-09-18 11:53:30	ga_s2am_ard_3-2-1_50KPC_2022-09-18_final.stac-item
2022-09-25 11:46:50	ga_s2am_ard_3-2-1_50HQJ_2022-09-25_final.stac-item
2022-10-04 12:14:01	ga_s2am_ard_3-2-1_50KKA_2022-10-04_final.stac-item
2022-12-10 12:03:45	ga_s2am_ard_3-2-1_50KKB_2022-12-10_final.stac-item
2023-01-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-01-19_final.stac-item
2023-02-09 11:37:02	ga_s2am_ard_3-2-1_50HQH_2023-02-09_final.stac-item
2023-03-05 11:16:19	ga_s2am_ard_3-2-1_51HYE_2023-03-05_final.stac-item
2023-03-31 11:36:59	ga_s2am_ard_3-2-1_51HTC_2023-03-31_final.stac-item
2023-04-09 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2023-04-09_final.stac-item
2023-04-13 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2023-04-13_final.stac-item
2023-05-20 11:37:03	ga_s2am_ard_3-2-1_51HTC_2023-05-20_final.stac-item
2023-05-24 11:15:13	ga_s2am_ard_3-2-1_51JYK_2023-05-24_final.stac-item
2023-07-22 11:43:22	ga_s2am_ard_3-2-1_51KTT_2023-07-22_final.stac-item
2023-09-16 12:03:48	ga_s2am_ard_3-2-1_50KKB_2023-09-16_final.stac-item
2023-10-09 12:13:54	ga_s2am_ard_3-2-1_50KKA_2023-10-09_final.stac-item
2023-10-26 12:05:41	ga_s2am_ard_3-2-1_50JKP_2023-10-26_final.stac-item
2023-11-29 11:47:16	ga_s2am_ard_3-2-1_50HMG_2023-11-29_final.stac-item
2024-03-18 11:44:06	ga_s2am_ard_3-2-1_50KQV_2024-03-18_final.stac-item
2024-04-23 12:05:54	ga_s2am_ard_3-2-1_50JLN_2024-04-23_final.stac-item
2024-04-30 11:52:22	ga_s2am_ard_3-2-1_50KQG_2024-04-30_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