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
2015-10-28 11:59:52	ga_s2am_ard_3-2-1_50KKB_2015-10-28_final.stac-item
2016-02-02 11:48:17	ga_s2am_ard_3-2-1_50KQG_2016-02-02_final.stac-item
2016-06-12 11:22:42	ga_s2am_ard_3-2-1_51JWG_2016-06-12_final.stac-item
2016-08-23 12:02:51	ga_s2am_ard_3-2-1_50KMC_2016-08-23_final.stac-item
2017-02-13 11:44:16	ga_s2am_ard_3-2-1_50HMK_2017-02-13_final
2017-04-28 11:20:48	ga_s2am_ard_3-2-1_51JWJ_2017-04-28_final
2017-05-24 11:38:34	ga_s2am_ard_3-2-1_51KVV_2017-05-24_final
2017-07-17 11:20:58	ga_s2am_ard_3-2-1_51JXL_2017-07-17_final
2017-11-04 11:26:08	ga_s2am_ard_3-2-1_51HXE_2017-11-04_final
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXV_2017-11-07_final
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51KWB_2018-02-25_final
2018-03-17 11:26:39	ga_s2am_ard_3-2-1_51KYU_2018-03-17_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50KRC_2018-04-09_final
2018-05-28 12:13:23	ga_s2am_ard_3-2-1_50KKB_2018-05-28_final
2018-06-29 11:07:13	ga_s2am_ard_3-2-1_51KZP_2018-06-29_final
2018-07-04 12:02:50	ga_s2am_ard_3-2-1_49JHN_2018-07-04_final
2018-07-08 11:45:46	ga_s2am_ard_3-2-1_50HPJ_2018-07-08_final
2018-07-12 11:19:28	ga_s2am_ard_3-2-1_51KXU_2018-07-12_final
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51HXE_2018-09-30_final
2018-10-12 12:04:05	ga_s2am_ard_3-2-1_50JLP_2018-10-12_final
2018-11-28 11:56:09	ga_s2am_ard_3-2-1_50JNL_2018-11-28_final
2018-12-09 11:22:18	ga_s2am_ard_3-2-1_51KYA_2018-12-09_final
2019-01-31 11:37:14	ga_s2am_ard_3-2-1_50HQG_2019-01-31_final.stac-item
2019-03-01 12:05:10	ga_s2am_ard_3-2-1_49JGL_2019-03-01_final
2019-04-01 11:34:25	ga_s2am_ard_3-2-1_51JWN_2019-04-01_final
2019-05-01 11:32:50	ga_s2am_ard_3-2-1_51KVV_2019-05-01_final
2019-07-10 11:37:06	ga_s2am_ard_3-2-1_51HTC_2019-07-10_final
2019-07-22 12:14:18	ga_s2am_ard_3-2-1_49KGQ_2019-07-22_final
2019-07-29 12:04:04	ga_s2am_ard_3-2-1_49KHR_2019-07-29_final
2019-09-04 11:55:59	ga_s2am_ard_3-2-1_50JKN_2019-09-04_final
2019-09-05 11:23:35	ga_s2am_ard_3-2-1_51KZR_2019-09-05_final
2019-10-17 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-10-17_final
2019-10-18 11:34:28	ga_s2am_ard_3-2-1_51JWN_2019-10-18_final
2019-10-31 11:45:50	ga_s2am_ard_3-2-1_50JQN_2019-10-31_final
2019-11-04 11:24:18	ga_s2am_ard_3-2-1_51KWP_2019-11-04_final
2019-11-10 11:42:44	ga_s2am_ard_3-2-1_51KVV_2019-11-10_final
2019-11-10 11:43:21	ga_s2am_ard_3-2-1_50KRC_2019-11-10_final
2019-11-20 11:42:47	ga_s2am_ard_3-2-1_51KUV_2019-11-20_final
2019-11-21 11:13:55	ga_s2am_ard_3-2-1_51KZQ_2019-11-21_final
2019-12-20 11:44:28	ga_s2am_ard_3-2-1_50JQT_2019-12-20_final
2019-12-24 11:26:51	ga_s2am_ard_3-2-1_51HWC_2019-12-24_final.stac-item
2020-01-19 11:42:03	ga_s2am_ard_3-2-1_51KWB_2020-01-19_final
2020-02-14 12:04:50	ga_s2am_ard_3-2-1_49JHM_2020-02-14_final
2020-02-18 11:42:40	ga_s2am_ard_3-2-1_51KUV_2020-02-18_final
2020-02-18 11:42:51	ga_s2am_ard_3-2-1_51KVU_2020-02-18_final
2020-04-19 11:16:26	ga_s2am_ard_3-2-1_51HXE_2020-04-19_final
2020-05-25 11:32:49	ga_s2am_ard_3-2-1_51KWV_2020-05-25_final
2020-05-28 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-05-28_final
2020-06-07 11:47:02	ga_s2am_ard_3-2-1_50HMJ_2020-06-07_final
2020-06-14 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-06-14_final.stac-item
2020-06-27 11:43:49	ga_s2am_ard_3-2-1_51KUR_2020-06-27_final
2020-09-19 11:24:20	ga_s2am_ard_3-2-1_51KWP_2020-09-19_final
2020-12-04 11:43:20	ga_s2am_ard_3-2-1_50KQC_2020-12-04_final
2020-12-17 11:52:17	ga_s2am_ard_3-2-1_50KQG_2020-12-17_final.stac-item
2020-12-25 11:13:53	ga_s2am_ard_3-2-1_51KZQ_2020-12-25_final
2021-01-20 11:33:10	ga_s2am_ard_3-2-1_51KXT_2021-01-20_final
2021-04-03 11:43:15	ga_s2am_ard_3-2-1_51KTT_2021-04-03_final
2021-04-24 11:14:05	ga_s2am_ard_3-2-1_51KZP_2021-04-24_final
2021-09-20 11:42:48	ga_s2am_ard_3-2-1_51KUV_2021-09-20_final
2021-09-26 12:05:55	ga_s2am_ard_3-2-1_50JLN_2021-09-26_final
2021-10-14 11:23:01	ga_s2am_ard_3-2-1_51KYU_2021-10-14_final
2021-11-16 11:32:30	ga_s2am_ard_3-2-1_51KWA_2021-11-16_final
2021-11-26 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-11-26_final
2021-12-06 11:33:08	ga_s2am_ard_3-2-1_51KXT_2021-12-06_final
2021-12-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-12-06_final
2021-12-26 11:32:35	ga_s2am_ard_3-2-1_51KYV_2021-12-26_final
2022-01-04 12:05:57	ga_s2am_ard_3-2-1_50JKN_2022-01-04_final
2022-03-23 11:26:43	ga_s2am_ard_3-2-1_51HWD_2022-03-23_final
2022-07-08 11:15:38	ga_s2am_ard_3-2-1_51JYJ_2022-07-08_final
2022-07-20 11:53:33	ga_s2am_ard_3-2-1_50KPC_2022-07-20_final
2022-08-03 11:32:36	ga_s2am_ard_3-2-1_51KXA_2022-08-03_final
2022-09-01 12:04:55	ga_s2am_ard_3-2-1_49JHN_2022-09-01_final.stac-item
2022-09-04 12:14:39	ga_s2am_ard_3-2-1_49KGP_2022-09-04_final.stac-item
2022-09-12 11:34:13	ga_s2am_ard_3-2-1_51KUQ_2022-09-12_final.stac-item
2022-12-01 11:34:25	ga_s2am_ard_3-2-1_51JWN_2022-12-01_final.stac-item
2022-12-14 11:46:19	ga_s2am_ard_3-2-1_50JPL_2022-12-14_final.stac-item
2023-02-05 11:53:16	ga_s2am_ard_3-2-1_50KQC_2023-02-05_final.stac-item
2023-02-15 11:53:14	ga_s2am_ard_3-2-1_50KQC_2023-02-15_final.stac-item
2023-02-18 12:03:41	ga_s2am_ard_3-2-1_50KKB_2023-02-18_final.stac-item
2023-03-11 11:34:24	ga_s2am_ard_3-2-1_51JVN_2023-03-11_final.stac-item
2023-04-10 11:37:21	ga_s2am_ard_3-2-1_50HPG_2023-04-10_final.stac-item
2023-04-27 11:24:02	ga_s2am_ard_3-2-1_51KWQ_2023-04-27_final.stac-item
2023-04-27 11:25:46	ga_s2am_ard_3-2-1_51JVH_2023-04-27_final.stac-item
2023-06-08 12:05:59	ga_s2am_ard_3-2-1_50JKN_2023-06-08_final.stac-item
2023-07-05 11:55:51	ga_s2am_ard_3-2-1_50JKP_2023-07-05_final.stac-item
2023-07-11 12:14:47	ga_s2am_ard_3-2-1_49JGN_2023-07-11_final.stac-item
2023-08-11 11:43:48	ga_s2am_ard_3-2-1_51KUR_2023-08-11_final.stac-item
2023-09-07 11:37:22	ga_s2am_ard_3-2-1_50HQG_2023-09-07_final.stac-item
2023-10-07 11:34:25	ga_s2am_ard_3-2-1_51JWN_2023-10-07_final.stac-item
2023-10-27 11:32:47	ga_s2am_ard_3-2-1_51KVV_2023-10-27_final.stac-item
2023-11-06 11:33:59	ga_s2am_ard_3-2-1_51KVQ_2023-11-06_final.stac-item
2023-12-18 12:14:41	ga_s2am_ard_3-2-1_49JFN_2023-12-18_final.stac-item
2023-12-20 12:50:56	ga_s2am_ard_3-2-1_48LWP_2023-12-20_final.stac-item
2023-12-23 11:26:14	ga_s2am_ard_3-2-1_51JUF_2023-12-23_final.stac-item
2023-12-30 11:15:22	ga_s2am_ard_3-2-1_51JYJ_2023-12-30_final.stac-item
2024-01-08 11:43:00	ga_s2am_ard_3-2-1_50KRD_2024-01-08_final.stac-item
2024-02-24 11:34:12	ga_s2am_ard_3-2-1_51KVP_2024-02-24_final.stac-item
2024-03-14 12:03:58	ga_s2am_ard_3-2-1_50KKA_2024-03-14_final.stac-item
2024-03-28 11:46:26	ga_s2am_ard_3-2-1_50JML_2024-03-28_final.stac-item
2024-03-29 11:15:39	ga_s2am_ard_3-2-1_51JYH_2024-03-29_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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