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
2015-10-21 12:09:42	ga_s2am_ard_3-2-1_49KGQ_2015-10-21_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50KKV_2016-10-02_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50JML_2016-10-16_final.stac-item
2016-12-08 11:55:28	ga_s2am_ard_3-2-1_50HNK_2016-12-08_final
2017-01-20 12:02:52	ga_s2am_ard_3-2-1_49KGP_2017-01-20_final
2017-03-04 12:13:36	ga_s2am_ard_3-2-1_50KKA_2017-03-04_final
2017-06-16 11:56:08	ga_s2am_ard_3-2-1_50JNL_2017-06-16_final
2017-08-18 12:02:50	ga_s2am_ard_3-2-1_50KNC_2017-08-18_final
2017-10-24 11:52:38	ga_s2am_ard_3-2-1_50HMK_2017-10-24_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JML_2017-12-10_final
2018-01-05 12:05:28	ga_s2am_ard_3-2-1_50JKP_2018-01-05_final
2018-01-25 12:02:44	ga_s2am_ard_3-2-1_50KMA_2018-01-25_final
2018-06-01 11:52:21	ga_s2am_ard_3-2-1_50HMG_2018-06-01_final.stac-item
2018-06-04 12:03:37	ga_s2am_ard_3-2-1_50KMU_2018-06-04_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HQJ_2018-07-08_final
2018-08-27 11:40:29	ga_s2am_ard_3-2-1_50KQC_2018-08-27_final
2018-09-15 12:13:40	ga_s2am_ard_3-2-1_50KKA_2018-09-15_final
2018-10-09 11:51:12	ga_s2am_ard_3-2-1_50JLR_2018-10-09_final
2018-11-15 11:46:50	ga_s2am_ard_3-2-1_50HMJ_2018-11-15_final
2018-11-22 11:36:25	ga_s2am_ard_3-2-1_51HTE_2018-11-22_final
2018-12-01 12:03:15	ga_s2am_ard_3-2-1_50KMC_2018-12-01_final
2018-12-08 11:55:45	ga_s2am_ard_3-2-1_50JMN_2018-12-08_final
2018-12-21 12:04:16	ga_s2am_ard_3-2-1_50KLU_2018-12-21_final
2019-03-15 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-03-15_final
2019-04-17 11:53:27	ga_s2am_ard_3-2-1_50KNC_2019-04-17_final
2019-06-13 11:46:29	ga_s2am_ard_3-2-1_50JML_2019-06-13_final
2019-07-16 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-16_final
2019-07-29 12:03:31	ga_s2am_ard_3-2-1_50KLC_2019-07-29_final
2019-08-31 12:14:28	ga_s2am_ard_3-2-1_49KGP_2019-08-31_final
2019-09-01 11:43:04	ga_s2am_ard_3-2-1_50KRD_2019-09-01_final
2019-09-01 11:43:19	ga_s2am_ard_3-2-1_50KRC_2019-09-01_final
2019-09-11 11:43:02	ga_s2am_ard_3-2-1_50KRD_2019-09-11_final
2019-10-17 12:04:45	ga_s2am_ard_3-2-1_49JHN_2019-10-17_final
2019-11-20 11:46:09	ga_s2am_ard_3-2-1_50JNM_2019-11-20_final
2019-11-23 11:53:18	ga_s2am_ard_3-2-1_50KQC_2019-11-23_final
2019-12-30 11:46:14	ga_s2am_ard_3-2-1_50JPL_2019-12-30_final
2020-01-15 12:04:04	ga_s2am_ard_3-2-1_50KLV_2020-01-15_final
2020-03-08 12:13:50	ga_s2am_ard_3-2-1_50KKA_2020-03-08_final
2020-03-09 11:47:20	ga_s2am_ard_3-2-1_50HMG_2020-03-09_final.stac-item
2020-04-15 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2020-04-15_final
2020-05-05 11:36:37	ga_s2am_ard_3-2-1_50HQK_2020-05-05_final
2020-05-11 11:53:29	ga_s2am_ard_3-2-1_50KNC_2020-05-11_final
2020-05-28 11:43:24	ga_s2am_ard_3-2-1_50KRC_2020-05-28_final
2020-05-28 11:44:37	ga_s2am_ard_3-2-1_50JRT_2020-05-28_final
2020-06-24 11:36:32	ga_s2am_ard_3-2-1_50JPL_2020-06-24_final
2020-07-13 12:04:29	ga_s2am_ard_3-2-1_50KLU_2020-07-13_final
2020-07-16 12:14:23	ga_s2am_ard_3-2-1_50KKU_2020-07-16_final
2020-08-12 12:04:34	ga_s2am_ard_3-2-1_50KKU_2020-08-12_final
2020-08-17 11:17:04	ga_s2am_ard_3-2-1_51HWC_2020-08-17_final.stac-item
2020-08-26 11:46:06	ga_s2am_ard_3-2-1_50JQM_2020-08-26_final
2020-09-05 11:43:08	ga_s2am_ard_3-2-1_50KRD_2020-09-05_final
2020-09-08 11:56:18	ga_s2am_ard_3-2-1_50JKM_2020-09-08_final
2020-09-21 12:05:05	ga_s2am_ard_3-2-1_49JGM_2020-09-21_final
2020-10-08 11:56:20	ga_s2am_ard_3-2-1_50JKM_2020-10-08_final
2020-12-27 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2020-12-27_final
2021-01-30 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-01-30_final
2021-02-08 12:04:56	ga_s2am_ard_3-2-1_50JKS_2021-02-08_final
2021-02-28 12:03:20	ga_s2am_ard_3-2-1_50KNC_2021-02-28_final
2021-04-13 11:46:24	ga_s2am_ard_3-2-1_50HQK_2021-04-13_final
2021-04-23 11:46:33	ga_s2am_ard_3-2-1_50HNK_2021-04-23_final
2021-05-13 11:43:21	ga_s2am_ard_3-2-1_50KQC_2021-05-13_final
2021-05-16 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-05-16_final
2021-06-01 12:13:55	ga_s2am_ard_3-2-1_49KHR_2021-06-01_final
2021-08-17 12:04:01	ga_s2am_ard_3-2-1_49KHR_2021-08-17_final
2021-08-17 12:04:30	ga_s2am_ard_3-2-1_49KHP_2021-08-17_final
2021-09-10 11:47:17	ga_s2am_ard_3-2-1_50HPG_2021-09-10_final.stac-item
2021-10-06 12:04:47	ga_s2am_ard_3-2-1_49JHN_2021-10-06_final
2021-10-13 11:53:26	ga_s2am_ard_3-2-1_50KPC_2021-10-13_final
2021-11-18 12:14:41	ga_s2am_ard_3-2-1_49JGN_2021-11-18_final
2021-12-16 11:36:43	ga_s2am_ard_3-2-1_51HUD_2021-12-16_final
2022-01-14 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-01-14_final
2022-03-22 11:52:23	ga_s2am_ard_3-2-1_50KQG_2022-03-22_final.stac-item
2022-06-10 11:54:06	ga_s2am_ard_3-2-1_50KMA_2022-06-10_final
2022-07-04 11:37:10	ga_s2am_ard_3-2-1_51HUC_2022-07-04_final
2022-07-10 11:56:38	ga_s2am_ard_3-2-1_50JLL_2022-07-10_final
2022-07-23 12:05:26	ga_s2am_ard_3-2-1_49JGL_2022-07-23_final
2022-08-22 12:04:44	ga_s2am_ard_3-2-1_49KGP_2022-08-22_final
2022-10-11 12:04:42	ga_s2am_ard_3-2-1_50JMT_2022-10-11_final.stac-item
2022-10-25 11:43:07	ga_s2am_ard_3-2-1_50KRD_2022-10-25_final.stac-item
2022-11-04 11:43:55	ga_s2am_ard_3-2-1_50KQA_2022-11-04_final.stac-item
2022-12-10 12:04:00	ga_s2am_ard_3-2-1_49KHR_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
2023-01-13 11:45:44	ga_s2am_ard_3-2-1_50JQN_2023-01-13_final.stac-item
2023-07-05 11:55:18	ga_s2am_ard_3-2-1_50JLR_2023-07-05_final.stac-item
2023-07-05 11:56:01	ga_s2am_ard_3-2-1_50JLN_2023-07-05_final.stac-item
2023-07-18 12:04:03	ga_s2am_ard_3-2-1_50KKA_2023-07-18_final.stac-item
2023-09-06 12:05:57	ga_s2am_ard_3-2-1_50JLN_2023-09-06_final.stac-item
2023-09-30 11:46:45	ga_s2am_ard_3-2-1_50HQJ_2023-09-30_final.stac-item
2023-10-30 11:46:25	ga_s2am_ard_3-2-1_50JML_2023-10-30_final.stac-item
2023-10-30 11:46:33	ga_s2am_ard_3-2-1_50HPK_2023-10-30_final.stac-item
2023-11-12 11:53:10	ga_s2am_ard_3-2-1_50KRC_2023-11-12_final.stac-item
2023-12-25 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-12-25_final.stac-item
2023-12-29 11:43:19	ga_s2am_ard_3-2-1_50KQC_2023-12-29_final.stac-item
2024-01-08 11:46:44	ga_s2am_ard_3-2-1_50HPJ_2024-01-08_final.stac-item
2024-01-15 11:36:20	ga_s2am_ard_3-2-1_50JPL_2024-01-15_final.stac-item
2024-02-16 12:14:39	ga_s2am_ard_3-2-1_49JGN_2024-02-16_final.stac-item
2024-03-28 11:45:47	ga_s2am_ard_3-2-1_50JQN_2024-03-28_final.stac-item
2024-04-03 12:04:58	ga_s2am_ard_3-2-1_49JGM_2024-04-03_final.stac-item
2024-04-23 12:04:28	ga_s2am_ard_3-2-1_50KLU_2024-04-23_final.stac-item
2024-05-01 11:27:04	ga_s2am_ard_3-2-1_51HUC_2024-05-01_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