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
2015-11-30 12:04:46	ga_s2am_ard_3-2-1_50KKB_2015-11-30_final.stac-item
2016-01-07 11:37:54	ga_s2am_ard_3-2-1_51KVR_2016-01-07_final.stac-item
2016-05-15 12:02:55	ga_s2am_ard_3-2-1_50JLQ_2016-05-15_final.stac-item
2016-05-30 11:11:45	ga_s2am_ard_3-2-1_52KBA_2016-05-30_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNJ_2016-10-26_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KVS_2017-01-01_final
2017-07-03 11:43:16	ga_s2am_ard_3-2-1_50HQJ_2017-07-03_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KVT_2017-11-07_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUV_2017-12-30_final
2018-02-15 11:30:37	ga_s2am_ard_3-2-1_51KXT_2018-02-15_final
2018-03-04 11:22:24	ga_s2am_ard_3-2-1_51KXT_2018-03-04_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51KWU_2018-05-06_final
2018-06-17 12:13:21	ga_s2am_ard_3-2-1_49JGL_2018-06-17_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_52KCB_2018-06-29_final
2018-09-03 11:32:51	ga_s2am_ard_3-2-1_51KWS_2018-09-03_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JXH_2018-09-30_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JLP_2018-10-12_final
2018-10-23 11:33:19	ga_s2am_ard_3-2-1_51KWR_2018-10-23_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HMJ_2018-10-26_final
2019-01-01 11:32:20	ga_s2am_ard_3-2-1_51KXA_2019-01-01_final
2019-01-31 11:33:13	ga_s2am_ard_3-2-1_51KVT_2019-01-31_final
2019-02-13 11:42:10	ga_s2am_ard_3-2-1_51KVB_2019-02-13_final
2019-02-21 11:04:52	ga_s2am_ard_3-2-1_52JCR_2019-02-21_final
2019-02-23 11:42:56	ga_s2am_ard_3-2-1_51KUU_2019-02-23_final
2019-02-23 11:43:07	ga_s2am_ard_3-2-1_51KVT_2019-02-23_final
2019-03-25 11:42:59	ga_s2am_ard_3-2-1_51KUU_2019-03-25_final
2019-05-13 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-05-13_final
2019-09-08 11:33:01	ga_s2am_ard_3-2-1_51KYT_2019-09-08_final
2019-09-18 11:33:56	ga_s2am_ard_3-2-1_51KWQ_2019-09-18_final
2019-10-21 11:42:49	ga_s2am_ard_3-2-1_51KUV_2019-10-21_final
2019-10-28 11:33:12	ga_s2am_ard_3-2-1_51KXT_2019-10-28_final
2019-11-10 11:43:14	ga_s2am_ard_3-2-1_51KVT_2019-11-10_final
2020-01-29 11:42:49	ga_s2am_ard_3-2-1_51KVU_2020-01-29_final
2020-02-18 11:42:58	ga_s2am_ard_3-2-1_50KRD_2020-02-18_final
2020-04-02 11:24:01	ga_s2am_ard_3-2-1_52KBU_2020-04-02_final
2020-04-12 11:23:12	ga_s2am_ard_3-2-1_51KXT_2020-04-12_final
2020-05-05 11:34:03	ga_s2am_ard_3-2-1_51KVQ_2020-05-05_final
2020-05-09 11:13:58	ga_s2am_ard_3-2-1_51KZQ_2020-05-09_final
2020-06-07 11:42:52	ga_s2am_ard_3-2-1_51KUV_2020-06-07_final
2020-06-24 11:36:39	ga_s2am_ard_3-2-1_51HVD_2020-06-24_final
2020-07-10 11:53:07	ga_s2am_ard_3-2-1_50KQD_2020-07-10_final.stac-item
2020-09-19 11:23:11	ga_s2am_ard_3-2-1_52KBC_2020-09-19_final
2020-09-25 11:42:22	ga_s2am_ard_3-2-1_51KUB_2020-09-25_final.stac-item
2020-10-09 11:23:12	ga_s2am_ard_3-2-1_52KBC_2020-10-09_final
2020-11-27 11:56:15	ga_s2am_ard_3-2-1_50JKM_2020-11-27_final
2020-12-25 11:16:58	ga_s2am_ard_3-2-1_51HWC_2020-12-25_final.stac-item
2021-01-23 11:40:58	ga_s2am_ard_3-2-1_51LWG_2021-01-23_final.stac-item
2021-02-06 11:23:49	ga_s2am_ard_3-2-1_52KBV_2021-02-06_final
2021-03-01 11:35:12	ga_s2am_ard_3-2-1_51JVK_2021-03-01_final
2021-03-28 11:23:52	ga_s2am_ard_3-2-1_51KYQ_2021-03-28_final
2021-04-09 12:03:40	ga_s2am_ard_3-2-1_50KKB_2021-04-09_final
2021-04-23 11:42:05	ga_s2am_ard_3-2-1_51KWB_2021-04-23_final
2021-05-06 11:53:29	ga_s2am_ard_3-2-1_50KMC_2021-05-06_final
2021-05-23 11:41:33	ga_s2am_ard_3-2-1_51LUE_2021-05-23_final
2021-06-22 11:45:47	ga_s2am_ard_3-2-1_50JQN_2021-06-22_final
2021-06-29 11:36:54	ga_s2am_ard_3-2-1_50HPJ_2021-06-29_final
2021-07-09 11:32:53	ga_s2am_ard_3-2-1_51KYU_2021-07-09_final
2021-07-12 11:42:49	ga_s2am_ard_3-2-1_51KUV_2021-07-12_final
2021-07-12 11:47:27	ga_s2am_ard_3-2-1_50HMG_2021-07-12_final.stac-item
2021-08-21 11:43:05	ga_s2am_ard_3-2-1_51KTU_2021-08-21_final
2021-08-25 11:23:51	ga_s2am_ard_3-2-1_52KBV_2021-08-25_final
2021-08-25 11:23:52	ga_s2am_ard_3-2-1_51KZQ_2021-08-25_final
2021-10-11 11:16:13	ga_s2am_ard_3-2-1_51JYF_2021-10-11_final
2021-12-16 11:34:17	ga_s2am_ard_3-2-1_51KUP_2021-12-16_final
2021-12-23 11:23:15	ga_s2am_ard_3-2-1_51KXT_2021-12-23_final
2021-12-26 11:32:40	ga_s2am_ard_3-2-1_51KVV_2021-12-26_final
2021-12-29 11:43:02	ga_s2am_ard_3-2-1_51KUU_2021-12-29_final
2022-01-05 11:33:58	ga_s2am_ard_3-2-1_51KWQ_2022-01-05_final
2022-01-18 11:43:04	ga_s2am_ard_3-2-1_50KRD_2022-01-18_final
2022-02-11 11:24:07	ga_s2am_ard_3-2-1_51KYP_2022-02-11_final
2022-02-21 11:23:30	ga_s2am_ard_3-2-1_51KXS_2022-02-21_final
2022-03-06 11:33:17	ga_s2am_ard_3-2-1_51KWT_2022-03-06_final
2022-04-22 11:24:02	ga_s2am_ard_3-2-1_51KXQ_2022-04-22_final
2022-06-11 11:23:52	ga_s2am_ard_3-2-1_51KXR_2022-06-11_final
2022-07-11 11:23:56	ga_s2am_ard_3-2-1_51KXR_2022-07-11_final
2022-10-15 11:41:01	ga_s2am_ard_3-2-1_51LWG_2022-10-15_final.stac-item
2022-11-14 11:43:18	ga_s2am_ard_3-2-1_51KUT_2022-11-14_final.stac-item
2022-12-01 11:34:11	ga_s2am_ard_3-2-1_51KWP_2022-12-01_final.stac-item
2022-12-11 11:34:18	ga_s2am_ard_3-2-1_51KUP_2022-12-11_final.stac-item
2022-12-18 11:23:49	ga_s2am_ard_3-2-1_51KZQ_2022-12-18_final.stac-item
2023-01-23 11:42:38	ga_s2am_ard_3-2-1_51KVV_2023-01-23_final.stac-item
2023-02-02 11:42:41	ga_s2am_ard_3-2-1_51KVV_2023-02-02_final.stac-item
2023-02-12 11:42:07	ga_s2am_ard_3-2-1_51KWB_2023-02-12_final.stac-item
2023-03-21 11:33:51	ga_s2am_ard_3-2-1_51KXQ_2023-03-21_final.stac-item
2023-04-13 11:41:33	ga_s2am_ard_3-2-1_51LUE_2023-04-13_final.stac-item
2023-04-30 11:32:40	ga_s2am_ard_3-2-1_51KXV_2023-04-30_final.stac-item
2023-06-23 11:13:40	ga_s2am_ard_3-2-1_52KCA_2023-06-23_final.stac-item
2023-07-26 11:23:54	ga_s2am_ard_3-2-1_52KBV_2023-07-26_final.stac-item
2023-07-29 11:33:07	ga_s2am_ard_3-2-1_51KYT_2023-07-29_final.stac-item
2023-08-05 11:23:55	ga_s2am_ard_3-2-1_52KBV_2023-08-05_final.stac-item
2023-09-27 11:34:13	ga_s2am_ard_3-2-1_51KWP_2023-09-27_final.stac-item
2023-10-04 11:23:08	ga_s2am_ard_3-2-1_51KZT_2023-10-04_final.stac-item
2023-10-24 11:27:02	ga_s2am_ard_3-2-1_51HUC_2023-10-24_final.stac-item
2023-11-03 11:23:08	ga_s2am_ard_3-2-1_51KYT_2023-11-03_final.stac-item
2023-11-23 11:23:57	ga_s2am_ard_3-2-1_51KWQ_2023-11-23_final.stac-item
2023-12-09 11:42:36	ga_s2am_ard_3-2-1_51KVV_2023-12-09_final.stac-item
2023-12-26 11:33:06	ga_s2am_ard_3-2-1_51KXT_2023-12-26_final.stac-item
2024-02-11 11:23:46	ga_s2am_ard_3-2-1_52KBV_2024-02-11_final.stac-item
2024-04-04 11:32:26	ga_s2am_ard_3-2-1_51KWA_2024-04-04_final.stac-item
2024-04-07 11:43:14	ga_s2am_ard_3-2-1_50KQC_2024-04-07_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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