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
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51KWA_2015-12-21_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51LVC_2015-12-21_final.stac-item
2015-12-21 11:43:03	ga_s2am_ard_3-2-1_51LWC_2015-12-21_final.stac-item
2016-04-06 11:33:21	ga_s2am_ard_3-2-1_50JRS_2016-04-06_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51KVT_2016-06-18_final.stac-item
2016-08-30 11:48:30	ga_s2am_ard_3-2-1_50KQC_2016-08-30_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_50KNC_2016-10-02_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51KXS_2016-12-29_final.stac-item
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50JQP_2017-01-31_final
2017-02-12 12:13:15	ga_s2am_ard_3-2-1_49JGL_2017-02-12_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KWT_2017-06-20_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KNC_2017-07-29_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KKU_2018-04-25_final
2018-05-05 12:03:39	ga_s2am_ard_3-2-1_50KKB_2018-05-05_final
2018-06-02 11:17:00	ga_s2am_ard_3-2-1_51KXS_2018-06-02_final
2018-07-18 11:42:49	ga_s2am_ard_3-2-1_50HPG_2018-07-18_final.stac-item
2018-07-21 11:51:59	ga_s2am_ard_3-2-1_50JKM_2018-07-21_final
2018-08-01 11:17:00	ga_s2am_ard_3-2-1_51KYT_2018-08-01_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51JWG_2018-09-30_final
2018-10-13 11:26:17	ga_s2am_ard_3-2-1_51KYT_2018-10-13_final
2018-11-19 11:26:30	ga_s2am_ard_3-2-1_51HXD_2018-11-19_final
2019-03-24 12:14:58	ga_s2am_ard_3-2-1_49JFM_2019-03-24_final
2019-04-01 11:33:22	ga_s2am_ard_3-2-1_51KUT_2019-04-01_final
2019-05-11 11:33:26	ga_s2am_ard_3-2-1_51KUT_2019-05-11_final
2019-06-03 11:41:35	ga_s2am_ard_3-2-1_51LUE_2019-06-03_final
2019-06-10 11:33:26	ga_s2am_ard_3-2-1_51KXS_2019-06-10_final
2019-06-13 11:43:06	ga_s2am_ard_3-2-1_51KTU_2019-06-13_final
2019-08-06 11:24:08	ga_s2am_ard_3-2-1_51KWQ_2019-08-06_final
2019-08-09 11:33:08	ga_s2am_ard_3-2-1_51KWU_2019-08-09_final
2019-08-19 11:33:15	ga_s2am_ard_3-2-1_51KWT_2019-08-19_final
2019-09-01 11:43:12	ga_s2am_ard_3-2-1_51KVT_2019-09-01_final
2019-09-21 11:43:29	ga_s2am_ard_3-2-1_51KUS_2019-09-21_final
2019-09-28 11:33:57	ga_s2am_ard_3-2-1_51KWQ_2019-09-28_final
2020-01-09 11:45:38	ga_s2am_ard_3-2-1_51JTH_2020-01-09_final
2020-02-05 11:33:33	ga_s2am_ard_3-2-1_51KWR_2020-02-05_final
2020-02-21 11:53:05	ga_s2am_ard_3-2-1_50KRC_2020-02-21_final
2020-05-05 11:33:34	ga_s2am_ard_3-2-1_51KVS_2020-05-05_final
2020-06-21 11:24:03	ga_s2am_ard_3-2-1_51KXQ_2020-06-21_final
2020-07-10 11:56:22	ga_s2am_ard_3-2-1_50JNL_2020-07-10_final
2020-07-17 11:43:34	ga_s2am_ard_3-2-1_51KUS_2020-07-17_final
2020-08-16 11:46:49	ga_s2am_ard_3-2-1_50HQJ_2020-08-16_final
2020-08-26 11:41:38	ga_s2am_ard_3-2-1_51LUE_2020-08-26_final
2020-09-01 12:04:36	ga_s2am_ard_3-2-1_49KGP_2020-09-01_final
2020-09-22 11:33:28	ga_s2am_ard_3-2-1_51KXS_2020-09-22_final
2020-09-22 11:33:43	ga_s2am_ard_3-2-1_51KXR_2020-09-22_final
2020-10-05 11:43:21	ga_s2am_ard_3-2-1_51KUT_2020-10-05_final
2020-10-12 11:33:51	ga_s2am_ard_3-2-1_51KVR_2020-10-12_final
2021-01-30 11:33:13	ga_s2am_ard_3-2-1_51KWT_2021-01-30_final
2021-04-06 11:55:55	ga_s2am_ard_3-2-1_50JKN_2021-04-06_final
2021-04-23 11:43:11	ga_s2am_ard_3-2-1_51KUT_2021-04-23_final
2021-04-27 11:23:59	ga_s2am_ard_3-2-1_51KWQ_2021-04-27_final
2021-05-10 11:33:12	ga_s2am_ard_3-2-1_51KWT_2021-05-10_final
2021-05-14 11:15:39	ga_s2am_ard_3-2-1_51JYH_2021-05-14_final
2021-05-16 11:53:21	ga_s2am_ard_3-2-1_50KPC_2021-05-16_final
2021-05-29 12:04:14	ga_s2am_ard_3-2-1_50KKV_2021-05-29_final
2021-06-19 11:33:09	ga_s2am_ard_3-2-1_51KXT_2021-06-19_final
2021-07-16 11:23:31	ga_s2am_ard_3-2-1_51KXS_2021-07-16_final
2021-08-15 11:26:50	ga_s2am_ard_3-2-1_51HUD_2021-08-15_final
2021-08-28 11:33:43	ga_s2am_ard_3-2-1_51KWR_2021-08-28_final
2021-08-31 11:43:16	ga_s2am_ard_3-2-1_51KUT_2021-08-31_final
2021-11-10 11:13:57	ga_s2am_ard_3-2-1_51KZQ_2021-11-10_final
2021-11-26 11:32:19	ga_s2am_ard_3-2-1_51KVB_2021-11-26_final
2021-11-26 11:33:30	ga_s2am_ard_3-2-1_51KVS_2021-11-26_final
2021-11-26 11:34:17	ga_s2am_ard_3-2-1_51KUP_2021-11-26_final
2021-11-26 11:37:15	ga_s2am_ard_3-2-1_50HQG_2021-11-26_final.stac-item
2022-01-07 12:14:57	ga_s2am_ard_3-2-1_49JGM_2022-01-07_final
2022-01-25 11:31:24	ga_s2am_ard_3-2-1_51LYE_2022-01-25_final
2022-04-25 11:33:39	ga_s2am_ard_3-2-1_51KUS_2022-04-25_final
2022-05-08 11:42:32	ga_s2am_ard_3-2-1_51KVA_2022-05-08_final
2022-05-22 11:23:17	ga_s2am_ard_3-2-1_51KYT_2022-05-22_final
2022-06-04 11:34:51	ga_s2am_ard_3-2-1_51JVM_2022-06-04_final
2022-06-04 11:37:05	ga_s2am_ard_3-2-1_51HUC_2022-06-04_final
2022-06-11 11:23:37	ga_s2am_ard_3-2-1_51KXS_2022-06-11_final
2022-06-17 11:42:57	ga_s2am_ard_3-2-1_51KUV_2022-06-17_final
2022-06-24 11:34:05	ga_s2am_ard_3-2-1_51KXQ_2022-06-24_final
2022-08-03 11:34:00	ga_s2am_ard_3-2-1_51KXQ_2022-08-03_final
2022-08-23 11:34:12	ga_s2am_ard_3-2-1_51KVQ_2022-08-23_final.stac-item
2022-11-11 11:33:51	ga_s2am_ard_3-2-1_51KUR_2022-11-11_final.stac-item
2023-01-30 11:33:07	ga_s2am_ard_3-2-1_51KXT_2023-01-30_final.stac-item
2023-02-11 12:13:53	ga_s2am_ard_3-2-1_49KHR_2023-02-11_final.stac-item
2023-03-05 11:14:52	ga_s2am_ard_3-2-1_51JYL_2023-03-05_final.stac-item
2023-03-10 12:05:10	ga_s2am_ard_3-2-1_49JGL_2023-03-10_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 11:33:24	ga_s2am_ard_3-2-1_51KXS_2023-04-30_final.stac-item
2023-05-23 11:43:21	ga_s2am_ard_3-2-1_51KTT_2023-05-23_final.stac-item
2023-06-09 11:33:45	ga_s2am_ard_3-2-1_51KWR_2023-06-09_final.stac-item
2023-08-14 11:56:31	ga_s2am_ard_3-2-1_50JLL_2023-08-14_final.stac-item
2023-09-03 11:55:21	ga_s2am_ard_3-2-1_50JPQ_2023-09-03_final.stac-item
2023-09-07 11:33:36	ga_s2am_ard_3-2-1_51KVS_2023-09-07_final.stac-item
2023-10-10 11:43:14	ga_s2am_ard_3-2-1_51KUT_2023-10-10_final.stac-item
2023-10-24 11:23:43	ga_s2am_ard_3-2-1_51KXR_2023-10-24_final.stac-item
2023-12-03 11:23:02	ga_s2am_ard_3-2-1_51KYT_2023-12-03_final.stac-item
2023-12-06 11:33:24	ga_s2am_ard_3-2-1_51KVS_2023-12-06_final.stac-item
2024-02-21 11:23:23	ga_s2am_ard_3-2-1_51KYS_2024-02-21_final.stac-item
2024-03-08 11:44:51	ga_s2am_ard_3-2-1_50JQS_2024-03-08_final.stac-item
2024-03-12 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2024-03-12_final.stac-item
2024-03-27 12:14:42	ga_s2am_ard_3-2-1_49JGN_2024-03-27_final.stac-item
2024-03-29 11:16:37	ga_s2am_ard_3-2-1_51HYD_2024-03-29_final.stac-item
2024-04-01 11:23:56	ga_s2am_ard_3-2-1_51KXQ_2024-04-01_final.stac-item
2024-04-10 11:57:13	ga_s2am_ard_3-2-1_50HKH_2024-04-10_nrt.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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