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
2016-05-08 12:13:49	ga_s2am_ard_3-2-1_50KKA_2016-05-08_final.stac-item
2016-05-22 11:48:35	ga_s2am_ard_3-2-1_50KQC_2016-05-22_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50KLV_2016-06-04_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50KQG_2016-09-19_final.stac-item
2016-11-12 11:33:14	ga_s2am_ard_3-2-1_50HQH_2016-11-12_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HPG_2017-02-13_final.stac-item
2017-04-14 11:45:07	ga_s2am_ard_3-2-1_50HPK_2017-04-14_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_50HPJ_2017-05-11_final
2017-05-27 11:56:10	ga_s2am_ard_3-2-1_50JLL_2017-05-27_final
2017-08-15 11:56:09	ga_s2am_ard_3-2-1_50JNL_2017-08-15_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_50HMG_2018-02-28_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HPJ_2018-08-17_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HNG_2018-09-06_final.stac-item
2018-09-19 11:52:05	ga_s2am_ard_3-2-1_50KMB_2018-09-19_final
2018-10-06 11:46:03	ga_s2am_ard_3-2-1_50HMG_2018-10-06_final.stac-item
2018-10-13 11:32:54	ga_s2am_ard_3-2-1_50HPJ_2018-10-13_final
2019-01-10 12:05:39	ga_s2am_ard_3-2-1_49JGJ_2019-01-10_final
2019-01-30 12:03:20	ga_s2am_ard_3-2-1_50KMC_2019-01-30_final
2019-02-02 12:13:51	ga_s2am_ard_3-2-1_50KKA_2019-02-02_final
2019-04-01 11:36:49	ga_s2am_ard_3-2-1_50HQJ_2019-04-01_final
2019-04-21 11:34:46	ga_s2am_ard_3-2-1_50JRS_2019-04-21_final
2019-04-24 11:47:05	ga_s2am_ard_3-2-1_50HPH_2019-04-24_final
2019-05-07 11:53:14	ga_s2am_ard_3-2-1_50KRC_2019-05-07_final
2019-07-09 12:04:04	ga_s2am_ard_3-2-1_50KKA_2019-07-09_final.stac-item
2019-07-26 11:52:25	ga_s2am_ard_3-2-1_50KQG_2019-07-26_final.stac-item
2019-08-25 11:53:12	ga_s2am_ard_3-2-1_50KRC_2019-08-25_final
2019-09-01 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-09-01_final
2019-09-04 11:56:18	ga_s2am_ard_3-2-1_50JNL_2019-09-04_final
2019-11-27 11:34:37	ga_s2am_ard_3-2-1_50JRT_2019-11-27_final
2020-01-15 12:03:53	ga_s2am_ard_3-2-1_49KHR_2020-01-15_final
2020-01-29 11:43:05	ga_s2am_ard_3-2-1_50KRC_2020-01-29_final
2020-02-07 12:14:48	ga_s2am_ard_3-2-1_49JGM_2020-02-07_final
2020-03-22 11:53:07	ga_s2am_ard_3-2-1_50KRC_2020-03-22_final
2020-03-29 11:46:58	ga_s2am_ard_3-2-1_50HPH_2020-03-29_final
2020-04-21 11:56:41	ga_s2am_ard_3-2-1_50HLK_2020-04-21_final
2020-05-24 12:03:29	ga_s2am_ard_3-2-1_50KMC_2020-05-24_final
2020-05-25 11:37:09	ga_s2am_ard_3-2-1_50HQH_2020-05-25_final
2020-06-03 12:05:21	ga_s2am_ard_3-2-1_49JGL_2020-06-03_final
2020-06-23 12:04:48	ga_s2am_ard_3-2-1_50JKT_2020-06-23_final
2020-06-30 11:53:16	ga_s2am_ard_3-2-1_50KRC_2020-06-30_final
2020-08-02 12:05:06	ga_s2am_ard_3-2-1_49JGM_2020-08-02_final
2020-08-09 11:55:04	ga_s2am_ard_3-2-1_50JLS_2020-08-09_final
2020-08-12 12:05:43	ga_s2am_ard_3-2-1_50JLP_2020-08-12_final
2020-08-16 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-08-16_final
2020-09-21 12:03:49	ga_s2am_ard_3-2-1_50KKB_2020-09-21_final
2020-10-11 12:05:50	ga_s2am_ard_3-2-1_49JGJ_2020-10-11_final
2020-10-11 12:06:01	ga_s2am_ard_3-2-1_50JKN_2020-10-11_final
2020-11-10 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-11-10_final
2020-11-10 12:05:42	ga_s2am_ard_3-2-1_50JLP_2020-11-10_final
2020-11-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2020-11-20_final
2020-11-23 12:15:12	ga_s2am_ard_3-2-1_49JGL_2020-11-23_final
2020-12-07 11:53:15	ga_s2am_ard_3-2-1_50KQC_2020-12-07_final
2020-12-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2020-12-20_final
2021-01-03 11:46:23	ga_s2am_ard_3-2-1_50JNL_2021-01-03_final
2021-01-09 12:05:52	ga_s2am_ard_3-2-1_50JLN_2021-01-09_final
2021-01-29 12:05:44	ga_s2am_ard_3-2-1_49JGJ_2021-01-29_final
2021-01-30 11:37:17	ga_s2am_ard_3-2-1_50HQG_2021-01-30_final.stac-item
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-03_final
2021-04-06 11:52:30	ga_s2am_ard_3-2-1_50KQF_2021-04-06_final.stac-item
2021-04-13 11:46:32	ga_s2am_ard_3-2-1_50HNK_2021-04-13_final
2021-06-02 11:46:13	ga_s2am_ard_3-2-1_50JMM_2021-06-02_final
2021-06-09 11:34:50	ga_s2am_ard_3-2-1_50JRS_2021-06-09_final
2021-10-29 12:13:45	ga_s2am_ard_3-2-1_49KHS_2021-10-29_final.stac-item
2021-11-15 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-11-15_final
2021-11-18 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-11-18_final
2021-11-25 12:05:15	ga_s2am_ard_3-2-1_49JGL_2021-11-25_final
2021-12-29 11:43:17	ga_s2am_ard_3-2-1_50KRC_2021-12-29_final
2022-01-18 11:43:19	ga_s2am_ard_3-2-1_50KRC_2022-01-18_final
2022-02-06 12:14:56	ga_s2am_ard_3-2-1_49JGM_2022-02-06_final
2022-03-12 11:56:30	ga_s2am_ard_3-2-1_50JLL_2022-03-12_final
2022-04-04 12:05:06	ga_s2am_ard_3-2-1_50JKS_2022-04-04_final
2022-05-21 11:52:26	ga_s2am_ard_3-2-1_50KQG_2022-05-21_final.stac-item
2022-07-03 12:05:57	ga_s2am_ard_3-2-1_49JGJ_2022-07-03_final
2022-08-06 11:46:30	ga_s2am_ard_3-2-1_50JPL_2022-08-06_final
2022-09-18 11:52:28	ga_s2am_ard_3-2-1_50KQG_2022-09-18_final.stac-item
2022-10-15 11:43:26	ga_s2am_ard_3-2-1_50KQC_2022-10-15_final.stac-item
2022-10-18 11:53:14	ga_s2am_ard_3-2-1_50KRC_2022-10-18_final.stac-item
2022-11-21 11:37:18	ga_s2am_ard_3-2-1_50HQG_2022-11-21_final.stac-item
2022-12-10 12:06:10	ga_s2am_ard_3-2-1_50JKM_2022-12-10_final.stac-item
2022-12-27 11:55:55	ga_s2am_ard_3-2-1_50JLN_2022-12-27_final.stac-item
2023-01-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-01-03_final.stac-item
2023-03-10 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-03-10_final.stac-item
2023-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2023-03-30_final.stac-item
2023-04-13 11:43:47	ga_s2am_ard_3-2-1_50KRA_2023-04-13_final.stac-item
2023-05-13 11:46:40	ga_s2am_ard_3-2-1_50HMK_2023-05-13_final.stac-item
2023-05-29 12:05:44	ga_s2am_ard_3-2-1_50JKP_2023-05-29_final.stac-item
2023-06-22 11:46:52	ga_s2am_ard_3-2-1_50HPJ_2023-06-22_final.stac-item
2023-06-25 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-06-25_final.stac-item
2023-06-25 11:55:59	ga_s2am_ard_3-2-1_50JLN_2023-06-25_final.stac-item
2023-07-31 12:15:01	ga_s2am_ard_3-2-1_49JGM_2023-07-31_final.stac-item
2023-08-07 12:04:18	ga_s2am_ard_3-2-1_50KKV_2023-08-07_final.stac-item
2023-09-23 11:52:21	ga_s2am_ard_3-2-1_50KQG_2023-09-23_final.stac-item
2023-10-16 12:04:41	ga_s2am_ard_3-2-1_50JKT_2023-10-16_final.stac-item
2023-10-27 11:37:07	ga_s2am_ard_3-2-1_50HPH_2023-10-27_final.stac-item
2023-11-02 11:55:50	ga_s2am_ard_3-2-1_50JKP_2023-11-02_final.stac-item
2023-11-16 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-11-16_final.stac-item
2023-11-22 11:57:05	ga_s2am_ard_3-2-1_50HLH_2023-11-22_final.stac-item
2023-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2023-12-12_final.stac-item
2023-12-25 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-12-25_final.stac-item
2024-01-24 12:03:53	ga_s2am_ard_3-2-1_49KHR_2024-01-24_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