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
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51KXT_2016-06-25_final.stac-item
2016-07-02 11:22:40	ga_s2am_ard_3-2-1_51KZQ_2016-07-02_final.stac-item
2016-07-22 11:22:31	ga_s2am_ard_3-2-1_51KYT_2016-07-22_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51KXQ_2016-09-20_final.stac-item
2016-10-27 11:09:33	ga_s2am_ard_3-2-1_52JCT_2016-10-27_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51KWR_2016-12-22_final
2017-05-04 11:38:37	ga_s2am_ard_3-2-1_51KUV_2017-05-04_final
2017-05-11 11:28:39	ga_s2am_ard_3-2-1_51KXT_2017-05-11_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_50KQC_2018-01-19_final
2018-02-22 11:20:58	ga_s2am_ard_3-2-1_51JXF_2018-02-22_final
2018-02-28 11:44:11	ga_s2am_ard_3-2-1_51JUN_2018-02-28_final
2018-04-06 11:31:45	ga_s2am_ard_3-2-1_51KXQ_2018-04-06_final
2018-05-16 11:26:23	ga_s2am_ard_3-2-1_51KWA_2018-05-16_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KXT_2018-06-02_final
2018-06-28 11:40:06	ga_s2am_ard_3-2-1_51KUB_2018-06-28_final.stac-item
2018-07-02 11:23:55	ga_s2am_ard_3-2-1_51JWF_2018-07-02_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_50JLN_2018-07-14_final
2018-09-27 11:12:40	ga_s2am_ard_3-2-1_51HXE_2018-09-27_final
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51LWC_2018-10-13_final
2018-10-22 12:02:46	ga_s2am_ard_3-2-1_50JLM_2018-10-22_final
2018-10-26 11:41:08	ga_s2am_ard_3-2-1_51KUT_2018-10-26_final
2019-01-15 11:13:50	ga_s2am_ard_3-2-1_51KZQ_2019-01-15_final
2019-03-21 12:05:27	ga_s2am_ard_3-2-1_49JGK_2019-03-21_final
2019-03-31 12:06:04	ga_s2am_ard_3-2-1_50JLM_2019-03-31_final
2019-04-21 11:32:43	ga_s2am_ard_3-2-1_51KXV_2019-04-21_final
2019-05-01 11:34:18	ga_s2am_ard_3-2-1_51KVP_2019-05-01_final
2019-05-24 11:42:31	ga_s2am_ard_3-2-1_51KVA_2019-05-24_final
2019-05-28 11:23:38	ga_s2am_ard_3-2-1_52KBA_2019-05-28_final
2019-06-23 11:42:21	ga_s2am_ard_3-2-1_51KUB_2019-06-23_final.stac-item
2019-07-10 11:33:02	ga_s2am_ard_3-2-1_51KWU_2019-07-10_final
2019-08-09 11:33:56	ga_s2am_ard_3-2-1_51KXQ_2019-08-09_final
2019-09-29 11:04:52	ga_s2am_ard_3-2-1_52JDR_2019-09-29_final
2020-01-29 11:42:49	ga_s2am_ard_3-2-1_51KVU_2020-01-29_final
2020-06-27 11:43:41	ga_s2am_ard_3-2-1_51KVR_2020-06-27_final
2020-07-24 11:33:08	ga_s2am_ard_3-2-1_51KXU_2020-07-24_final
2020-08-03 11:34:11	ga_s2am_ard_3-2-1_51KXP_2020-08-03_final
2020-08-23 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2020-08-23_final
2020-08-30 11:23:40	ga_s2am_ard_3-2-1_52KBA_2020-08-30_final
2020-10-12 11:33:28	ga_s2am_ard_3-2-1_51KUT_2020-10-12_final
2020-11-24 11:42:47	ga_s2am_ard_3-2-1_51KUV_2020-11-24_final
2021-01-17 11:23:22	ga_s2am_ard_3-2-1_51KZS_2021-01-17_final
2021-03-28 11:27:00	ga_s2am_ard_3-2-1_51HUC_2021-03-28_final
2021-04-13 11:44:32	ga_s2am_ard_3-2-1_50JPT_2021-04-13_final
2021-05-10 11:34:13	ga_s2am_ard_3-2-1_51KVP_2021-05-10_final
2021-05-14 11:13:54	ga_s2am_ard_3-2-1_51KZQ_2021-05-14_final
2021-05-24 11:13:14	ga_s2am_ard_3-2-1_52KBC_2021-05-24_final
2021-05-24 11:15:58	ga_s2am_ard_3-2-1_51JXG_2021-05-24_final
2021-05-27 11:23:43	ga_s2am_ard_3-2-1_51KXR_2021-05-27_final
2021-05-30 11:33:10	ga_s2am_ard_3-2-1_51KXT_2021-05-30_final
2021-06-06 11:24:16	ga_s2am_ard_3-2-1_51KWP_2021-06-06_final
2021-06-10 11:04:19	ga_s2am_ard_3-2-1_52JET_2021-06-10_final
2021-06-16 11:24:04	ga_s2am_ard_3-2-1_51KZP_2021-06-16_final
2021-07-19 11:32:23	ga_s2am_ard_3-2-1_51KVB_2021-07-19_final
2021-08-02 11:16:09	ga_s2am_ard_3-2-1_52JBL_2021-08-02_final
2021-08-21 11:42:30	ga_s2am_ard_3-2-1_51KVA_2021-08-21_final
2021-08-25 11:23:41	ga_s2am_ard_3-2-1_51KYR_2021-08-25_final
2021-10-17 11:33:07	ga_s2am_ard_3-2-1_51KYT_2021-10-17_final
2021-10-20 11:46:35	ga_s2am_ard_3-2-1_50HQK_2021-10-20_final
2021-11-03 11:24:08	ga_s2am_ard_3-2-1_51KZP_2021-11-03_final
2021-11-06 11:33:37	ga_s2am_ard_3-2-1_51KUS_2021-11-06_final
2021-11-22 11:54:11	ga_s2am_ard_3-2-1_50KMV_2021-11-22_final
2021-12-23 11:23:40	ga_s2am_ard_3-2-1_51KYR_2021-12-23_final
2021-12-23 11:23:51	ga_s2am_ard_3-2-1_51KZQ_2021-12-23_final
2022-02-07 11:42:45	ga_s2am_ard_3-2-1_51KUV_2022-02-07_final
2022-02-17 11:43:30	ga_s2am_ard_3-2-1_51KUS_2022-02-17_final
2022-03-26 11:33:12	ga_s2am_ard_3-2-1_51KXT_2022-03-26_final
2022-03-29 11:44:26	ga_s2am_ard_3-2-1_50KPU_2022-03-29_final
2022-05-14 12:04:46	ga_s2am_ard_3-2-1_49JHN_2022-05-14_final
2022-07-18 11:13:51	ga_s2am_ard_3-2-1_52KBA_2022-07-18_final
2022-07-31 11:23:49	ga_s2am_ard_3-2-1_51KYR_2022-07-31_final
2022-08-16 11:42:58	ga_s2am_ard_3-2-1_51KUV_2022-08-16_final
2022-10-12 11:34:42	ga_s2am_ard_3-2-1_50JRT_2022-10-12_final.stac-item
2022-10-20 10:55:47	ga_s2am_ard_3-2-1_52JFM_2022-10-20_final.stac-item
2022-10-26 11:16:05	ga_s2am_ard_3-2-1_52JCL_2022-10-26_final.stac-item
2022-11-11 11:36:50	ga_s2am_ard_3-2-1_51HTD_2022-11-11_final.stac-item
2022-12-12 11:06:05	ga_s2am_ard_3-2-1_52JDL_2022-12-12_final.stac-item
2023-01-23 11:43:11	ga_s2am_ard_3-2-1_51KUT_2023-01-23_final.stac-item
2023-02-18 12:04:57	ga_s2am_ard_3-2-1_49JGM_2023-02-18_final.stac-item
2023-03-14 11:41:29	ga_s2am_ard_3-2-1_51LUE_2023-03-14_final.stac-item
2023-03-17 11:57:07	ga_s2am_ard_3-2-1_50HLH_2023-03-17_final.stac-item
2023-03-31 11:36:56	ga_s2am_ard_3-2-1_51HUC_2023-03-31_final.stac-item
2023-04-15 10:45:47	ga_s2am_ard_3-2-1_52JGM_2023-04-15_final.stac-item
2023-05-06 11:56:30	ga_s2am_ard_3-2-1_50HNK_2023-05-06_final.stac-item
2023-05-21 11:05:29	ga_s2am_ard_3-2-1_52JFN_2023-05-21_final.stac-item
2023-07-22 11:43:23	ga_s2am_ard_3-2-1_50KRC_2023-07-22_final.stac-item
2023-08-05 11:23:12	ga_s2am_ard_3-2-1_51KZT_2023-08-05_final.stac-item
2023-08-12 11:13:45	ga_s2am_ard_3-2-1_51KZR_2023-08-12_final.stac-item
2023-09-30 11:42:59	ga_s2am_ard_3-2-1_51KVU_2023-09-30_final.stac-item
2023-11-09 11:43:29	ga_s2am_ard_3-2-1_51KUS_2023-11-09_final.stac-item
2023-11-16 11:32:39	ga_s2am_ard_3-2-1_51KXV_2023-11-16_final.stac-item
2023-11-17 11:06:01	ga_s2am_ard_3-2-1_52JDL_2023-11-17_final.stac-item
2023-11-29 11:42:52	ga_s2am_ard_3-2-1_51KUU_2023-11-29_final.stac-item
2023-11-30 11:16:14	ga_s2am_ard_3-2-1_51HYE_2023-11-30_final.stac-item
2024-01-05 11:33:30	ga_s2am_ard_3-2-1_51KUS_2024-01-05_final.stac-item
2024-01-12 11:23:08	ga_s2am_ard_3-2-1_51KXT_2024-01-12_final.stac-item
2024-02-21 11:24:02	ga_s2am_ard_3-2-1_51KZP_2024-02-21_final.stac-item
2024-03-11 11:53:31	ga_s2am_ard_3-2-1_50KMC_2024-03-11_final.stac-item
2024-03-19 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2024-03-19_final.stac-item
2024-03-19 11:15:08	ga_s2am_ard_3-2-1_51JYK_2024-03-19_final.stac-item
2024-05-07 11:41:35	ga_s2am_ard_3-2-1_51LUE_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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