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
2015-12-04 11:50:12	ga_s2am_ard_3-2-1_50HLK_2015-12-04_final.stac-item
2016-03-07 11:32:50	ga_s2am_ard_3-2-1_50HQJ_2016-03-07_final.stac-item
2016-09-19 11:48:24	ga_s2am_ard_3-2-1_50JNL_2016-09-19_final.stac-item
2016-11-18 11:43:43	ga_s2am_ard_3-2-1_50KPC_2016-11-18_final.stac-item
2016-11-21 12:02:48	ga_s2am_ard_3-2-1_49KHR_2016-11-21_final.stac-item
2016-12-05 11:36:19	ga_s2am_ard_3-2-1_51KTS_2016-12-05_final.stac-item
2017-02-03 11:41:40	ga_s2am_ard_3-2-1_51KTT_2017-02-03_final
2017-02-27 11:22:43	ga_s2am_ard_3-2-1_51HXD_2017-02-27_final
2017-07-23 11:38:36	ga_s2am_ard_3-2-1_51KTU_2017-07-23_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50JKN_2017-07-29_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HPJ_2017-08-19_final
2017-08-25 11:51:56	ga_s2am_ard_3-2-1_50JLP_2017-08-25_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JNM_2017-12-10_final
2018-02-15 11:34:02	ga_s2am_ard_3-2-1_51JVM_2018-02-15_final
2018-03-30 11:39:33	ga_s2am_ard_3-2-1_51KTU_2018-03-30_final
2018-04-29 11:40:08	ga_s2am_ard_3-2-1_50KQC_2018-04-29_final
2018-06-22 11:26:00	ga_s2am_ard_3-2-1_51HUD_2018-06-22_final
2018-08-04 11:32:40	ga_s2am_ard_3-2-1_51HUD_2018-08-04_final
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final
2018-09-06 11:45:53	ga_s2am_ard_3-2-1_50HMG_2018-09-06_final.stac-item
2018-09-09 11:46:20	ga_s2am_ard_3-2-1_50KQG_2018-09-09_final.stac-item
2018-10-10 11:24:31	ga_s2am_ard_3-2-1_51HUC_2018-10-10_final
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGM_2018-11-01_final
2018-11-02 11:27:40	ga_s2am_ard_3-2-1_50HPH_2018-11-02_final
2018-11-18 11:56:48	ga_s2am_ard_3-2-1_50HLJ_2018-11-18_final
2018-12-11 12:03:51	ga_s2am_ard_3-2-1_49KHR_2018-12-11_final
2019-01-14 11:46:15	ga_s2am_ard_3-2-1_50JPL_2019-01-14_final
2019-03-12 11:36:44	ga_s2am_ard_3-2-1_50HQJ_2019-03-12_final
2019-05-04 11:43:47	ga_s2am_ard_3-2-1_51KUR_2019-05-04_final
2019-05-31 11:35:22	ga_s2am_ard_3-2-1_51JWJ_2019-05-31_final
2019-06-16 11:57:13	ga_s2am_ard_3-2-1_50HLH_2019-06-16_final
2019-06-30 11:36:57	ga_s2am_ard_3-2-1_50HPJ_2019-06-30_final
2019-07-03 11:43:48	ga_s2am_ard_3-2-1_51KUR_2019-07-03_final
2019-08-05 11:53:21	ga_s2am_ard_3-2-1_50KQC_2019-08-05_final
2019-10-07 12:03:46	ga_s2am_ard_3-2-1_50KKB_2019-10-07_final
2019-11-16 12:03:25	ga_s2am_ard_3-2-1_50KMC_2019-11-16_final
2019-12-27 11:36:52	ga_s2am_ard_3-2-1_51HUC_2019-12-27_final
2020-01-26 11:36:50	ga_s2am_ard_3-2-1_51HUC_2020-01-26_final
2020-03-15 12:03:19	ga_s2am_ard_3-2-1_50KMC_2020-03-15_final
2020-06-01 11:25:45	ga_s2am_ard_3-2-1_51JXH_2020-06-01_final
2020-06-13 12:04:34	ga_s2am_ard_3-2-1_50KKU_2020-06-13_final
2020-07-04 11:34:22	ga_s2am_ard_3-2-1_51KUP_2020-07-04_final
2020-07-18 11:15:30	ga_s2am_ard_3-2-1_51JYJ_2020-07-18_final
2020-09-05 11:43:48	ga_s2am_ard_3-2-1_51KUR_2020-09-05_final
2020-09-14 12:15:14	ga_s2am_ard_3-2-1_49JGL_2020-09-14_final
2020-10-09 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-10-09_final
2020-11-21 11:37:03	ga_s2am_ard_3-2-1_51HTC_2020-11-21_final
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_50KKA_2020-11-30_final
2020-12-01 11:34:39	ga_s2am_ard_3-2-1_51JWM_2020-12-01_final
2020-12-10 12:04:42	ga_s2am_ard_3-2-1_49JGN_2020-12-10_final
2021-01-07 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-01-07_final
2021-01-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-01-19_final
2021-02-01 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-02-01_final
2021-02-02 11:43:03	ga_s2am_ard_3-2-1_51KTU_2021-02-02_final
2021-02-11 12:15:09	ga_s2am_ard_3-2-1_49JGL_2021-02-11_final
2021-03-20 12:03:43	ga_s2am_ard_3-2-1_50KKB_2021-03-20_final
2021-04-10 11:36:56	ga_s2am_ard_3-2-1_51HTC_2021-04-10_final
2021-05-26 11:56:55	ga_s2am_ard_3-2-1_50HLJ_2021-05-26_final
2021-06-13 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-06-13_final
2021-06-16 11:25:39	ga_s2am_ard_3-2-1_51JXH_2021-06-16_final
2021-06-28 12:04:47	ga_s2am_ard_3-2-1_49JGN_2021-06-28_final
2021-06-29 11:34:17	ga_s2am_ard_3-2-1_51JXN_2021-06-29_final
2021-07-09 11:37:06	ga_s2am_ard_3-2-1_50HQH_2021-07-09_final
2021-07-29 11:37:14	ga_s2am_ard_3-2-1_50HQG_2021-07-29_final.stac-item
2021-08-11 11:43:20	ga_s2am_ard_3-2-1_51KTT_2021-08-11_final
2021-09-13 11:52:20	ga_s2am_ard_3-2-1_50KQG_2021-09-13_final.stac-item
2021-09-20 11:46:54	ga_s2am_ard_3-2-1_50HNJ_2021-09-20_final
2021-09-23 11:56:02	ga_s2am_ard_3-2-1_50JKN_2021-09-23_final
2021-09-27 11:37:05	ga_s2am_ard_3-2-1_51HTC_2021-09-27_final
2021-12-28 12:13:56	ga_s2am_ard_3-2-1_50KKA_2021-12-28_final
2022-03-29 11:43:06	ga_s2am_ard_3-2-1_51KTU_2022-03-29_final
2022-04-04 12:04:33	ga_s2am_ard_3-2-1_49KGP_2022-04-04_final
2022-04-22 11:25:29	ga_s2am_ard_3-2-1_51JXJ_2022-04-22_final
2022-04-22 11:27:06	ga_s2am_ard_3-2-1_51HUC_2022-04-22_final
2022-05-12 11:26:18	ga_s2am_ard_3-2-1_51JVF_2022-05-12_final
2022-06-21 11:25:50	ga_s2am_ard_3-2-1_51JXH_2022-06-21_final
2022-10-25 11:46:25	ga_s2am_ard_3-2-1_50JNL_2022-10-25_final.stac-item
2022-12-24 11:43:56	ga_s2am_ard_3-2-1_51KUQ_2022-12-24_final.stac-item
2023-01-22 12:14:52	ga_s2am_ard_3-2-1_49JGM_2023-01-22_final.stac-item
2023-01-23 11:43:54	ga_s2am_ard_3-2-1_51KUQ_2023-01-23_final.stac-item
2023-02-12 11:43:01	ga_s2am_ard_3-2-1_51KTU_2023-02-12_final.stac-item
2023-02-15 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-02-15_final.stac-item
2023-03-08 11:26:57	ga_s2am_ard_3-2-1_51HUC_2023-03-08_final.stac-item
2023-03-17 11:56:12	ga_s2am_ard_3-2-1_50JKM_2023-03-17_final.stac-item
2023-06-15 11:52:24	ga_s2am_ard_3-2-1_50KQG_2023-06-15_final.stac-item
2023-08-05 11:27:07	ga_s2am_ard_3-2-1_51HUC_2023-08-05_final.stac-item
2023-10-13 11:52:17	ga_s2am_ard_3-2-1_50KQG_2023-10-13_final.stac-item
2023-10-21 11:16:59	ga_s2am_ard_3-2-1_51HWC_2023-10-21_final.stac-item
2023-10-24 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-10-24_final.stac-item
2024-01-08 11:43:00	ga_s2am_ard_3-2-1_50KRD_2024-01-08_final.stac-item
2024-01-11 11:52:14	ga_s2am_ard_3-2-1_50KQG_2024-01-11_final.stac-item
2024-01-11 11:56:25	ga_s2am_ard_3-2-1_50HNK_2024-01-11_final.stac-item
2024-01-31 11:53:20	ga_s2am_ard_3-2-1_50KNC_2024-01-31_final.stac-item
2024-02-11 11:25:53	ga_s2am_ard_3-2-1_51JWG_2024-02-11_final.stac-item
2024-03-14 12:05:00	ga_s2am_ard_3-2-1_49JGM_2024-03-14_final.stac-item
2024-03-27 12:14:42	ga_s2am_ard_3-2-1_49JGN_2024-03-27_final.stac-item
2024-04-14 11:37:03	ga_s2am_ard_3-2-1_51HTC_2024-04-14_final.stac-item
2024-04-20 11:53:28	ga_s2am_ard_3-2-1_50KNC_2024-04-20_final.stac-item
2024-04-30 11:57:23	ga_s2am_ard_3-2-1_50HMG_2024-04-30_final.stac-item
2024-05-07 11:43:20	ga_s2am_ard_3-2-1_51KTT_2024-05-07_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

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