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
2015-11-20 12:14:39	ga_s2am_ard_3-2-1_49JGN_2015-11-20_final.stac-item
2016-01-16 12:07:17	ga_s2am_ard_3-2-1_49JGM_2016-01-16_final.stac-item
2016-01-20 11:47:47	ga_s2am_ard_3-2-1_50JNR_2016-01-20_final.stac-item
2016-04-25 12:05:14	ga_s2am_ard_3-2-1_50JLQ_2016-04-25_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_50HPH_2016-05-29_final.stac-item
2016-11-24 12:13:20	ga_s2am_ard_3-2-1_50KKU_2016-11-24_final.stac-item
2017-05-25 11:12:04	ga_s2am_ard_3-2-1_51HXC_2017-05-25_final.stac-item
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JNP_2017-07-16_final
2017-07-29 12:02:51	ga_s2am_ard_3-2-1_50KKU_2017-07-29_final
2017-09-20 12:13:39	ga_s2am_ard_3-2-1_49KHR_2017-09-20_final
2018-02-21 11:54:34	ga_s2am_ard_3-2-1_50JLN_2018-02-21_final
2018-04-09 11:40:31	ga_s2am_ard_3-2-1_50HNK_2018-04-09_final
2018-05-06 11:32:02	ga_s2am_ard_3-2-1_51HUD_2018-05-06_final
2018-06-11 11:53:43	ga_s2am_ard_3-2-1_50HNK_2018-06-11_final
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_50JPL_2018-06-28_final
2018-08-14 11:33:08	ga_s2am_ard_3-2-1_50HQH_2018-08-14_final
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50JNL_2018-08-17_final
2018-08-20 11:52:33	ga_s2am_ard_3-2-1_50KQD_2018-08-20_final.stac-item
2018-08-23 12:02:48	ga_s2am_ard_3-2-1_49JHN_2018-08-23_final
2018-10-19 11:52:28	ga_s2am_ard_3-2-1_50JLL_2018-10-19_final
2018-12-09 11:25:01	ga_s2am_ard_3-2-1_51JXK_2018-12-09_final
2018-12-15 11:46:17	ga_s2am_ard_3-2-1_50JML_2018-12-15_final
2019-01-04 11:42:58	ga_s2am_ard_3-2-1_50KRD_2019-01-04_final
2019-01-11 11:36:53	ga_s2am_ard_3-2-1_51HUC_2019-01-11_final
2019-01-24 11:46:30	ga_s2am_ard_3-2-1_50HPK_2019-01-24_final
2019-03-21 12:05:24	ga_s2am_ard_3-2-1_50JKQ_2019-03-21_final
2019-05-27 11:52:23	ga_s2am_ard_3-2-1_50KQG_2019-05-27_final.stac-item
2019-06-20 11:37:10	ga_s2am_ard_3-2-1_50HPH_2019-06-20_final
2019-09-18 11:36:51	ga_s2am_ard_3-2-1_50HPJ_2019-09-18_final
2019-10-17 12:03:47	ga_s2am_ard_3-2-1_50KKB_2019-10-17_final
2019-11-20 11:43:19	ga_s2am_ard_3-2-1_51KTT_2019-11-20_final
2019-12-04 11:26:45	ga_s2am_ard_3-2-1_51HUD_2019-12-04_final
2019-12-06 12:05:53	ga_s2am_ard_3-2-1_50JKN_2019-12-06_final
2020-01-29 11:43:05	ga_s2am_ard_3-2-1_50KRC_2020-01-29_final
2020-03-02 11:53:06	ga_s2am_ard_3-2-1_50KRC_2020-03-02_final
2020-04-14 12:03:58	ga_s2am_ard_3-2-1_49KHR_2020-04-14_final
2020-05-04 12:04:10	ga_s2am_ard_3-2-1_50KKV_2020-05-04_final.stac-item
2020-07-21 11:26:52	ga_s2am_ard_3-2-1_51HUD_2020-07-21_final
2020-08-22 12:03:50	ga_s2am_ard_3-2-1_50KKB_2020-08-22_final
2020-08-23 11:36:54	ga_s2am_ard_3-2-1_50HQJ_2020-08-23_final
2020-09-01 12:04:58	ga_s2am_ard_3-2-1_50JLS_2020-09-01_final
2020-10-22 11:37:23	ga_s2am_ard_3-2-1_50HQG_2020-10-22_final.stac-item
2020-11-10 12:03:48	ga_s2am_ard_3-2-1_50KKB_2020-11-10_final
2020-11-27 11:52:35	ga_s2am_ard_3-2-1_50KQF_2020-11-27_final.stac-item
2020-11-30 12:03:59	ga_s2am_ard_3-2-1_50KKA_2020-11-30_final
2021-01-13 11:43:22	ga_s2am_ard_3-2-1_50KQC_2021-01-13_final
2021-01-26 11:52:35	ga_s2am_ard_3-2-1_50KQF_2021-01-26_final.stac-item
2021-03-05 11:15:10	ga_s2am_ard_3-2-1_51JYK_2021-03-05_final
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_50KKB_2021-03-10_final
2021-04-13 11:46:46	ga_s2am_ard_3-2-1_50HNJ_2021-04-13_final
2021-08-07 12:05:03	ga_s2am_ard_3-2-1_49JGM_2021-08-07_final
2021-08-08 11:37:24	ga_s2am_ard_3-2-1_50HPG_2021-08-08_final.stac-item
2021-08-31 11:43:05	ga_s2am_ard_3-2-1_50KRD_2021-08-31_final
2021-09-26 12:05:18	ga_s2am_ard_3-2-1_49JGL_2021-09-26_final
2021-10-29 12:13:44	ga_s2am_ard_3-2-1_50KKB_2021-10-29_final
2021-11-06 11:33:51	ga_s2am_ard_3-2-1_51KUR_2021-11-06_final
2021-11-08 12:14:59	ga_s2am_ard_3-2-1_49JGM_2021-11-08_final
2021-11-12 11:53:13	ga_s2am_ard_3-2-1_50KRC_2021-11-12_final
2021-11-23 11:26:26	ga_s2am_ard_3-2-1_51HWE_2021-11-23_final
2021-12-12 11:52:19	ga_s2am_ard_3-2-1_50KQG_2021-12-12_final.stac-item
2022-01-08 11:43:19	ga_s2am_ard_3-2-1_51KTT_2022-01-08_final
2022-01-29 11:14:38	ga_s2am_ard_3-2-1_51JZM_2022-01-29_final
2022-03-15 12:06:08	ga_s2am_ard_3-2-1_50JLM_2022-03-15_final
2022-05-05 11:34:48	ga_s2am_ard_3-2-1_51JVM_2022-05-05_final
2022-05-24 12:04:25	ga_s2am_ard_3-2-1_49KGQ_2022-05-24_final
2022-06-14 11:36:01	ga_s2am_ard_3-2-1_50JQN_2022-06-14_final
2022-06-17 11:43:29	ga_s2am_ard_3-2-1_51KTT_2022-06-17_final
2022-07-01 11:25:47	ga_s2am_ard_3-2-1_51JYH_2022-07-01_final
2022-07-16 12:15:23	ga_s2am_ard_3-2-1_49JGL_2022-07-16_final
2022-08-06 11:47:32	ga_s2am_ard_3-2-1_50HNG_2022-08-06_final.stac-item
2022-08-22 12:05:13	ga_s2am_ard_3-2-1_49JGM_2022-08-22_final
2022-09-08 11:53:28	ga_s2am_ard_3-2-1_50KQC_2022-09-08_final.stac-item
2022-11-05 11:14:33	ga_s2am_ard_3-2-1_51JYN_2022-11-05_final.stac-item
2022-11-14 11:43:06	ga_s2am_ard_3-2-1_51KTU_2022-11-14_final.stac-item
2022-12-11 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2022-12-11_final.stac-item
2022-12-20 12:05:39	ga_s2am_ard_3-2-1_50JKP_2022-12-20_final.stac-item
2023-01-03 11:47:01	ga_s2am_ard_3-2-1_50HPH_2023-01-03_final.stac-item
2023-01-12 12:13:37	ga_s2am_ard_3-2-1_50KKB_2023-01-12_final.stac-item
2023-03-31 11:36:41	ga_s2am_ard_3-2-1_51HUD_2023-03-31_final.stac-item
2023-04-29 12:03:59	ga_s2am_ard_3-2-1_49KHR_2023-04-29_final.stac-item
2023-05-17 11:27:00	ga_s2am_ard_3-2-1_51HVC_2023-05-17_final.stac-item
2023-05-26 11:53:21	ga_s2am_ard_3-2-1_50KQC_2023-05-26_final.stac-item
2023-06-09 11:37:04	ga_s2am_ard_3-2-1_51HTC_2023-06-09_final.stac-item
2023-06-16 11:27:06	ga_s2am_ard_3-2-1_51HUC_2023-06-16_final.stac-item
2023-06-25 11:55:59	ga_s2am_ard_3-2-1_50JLN_2023-06-25_final.stac-item
2023-07-31 12:13:45	ga_s2am_ard_3-2-1_50KKB_2023-07-31_final.stac-item
2023-08-05 11:25:39	ga_s2am_ard_3-2-1_51JYH_2023-08-05_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 11:55:49	ga_s2am_ard_3-2-1_50JKP_2023-10-13_final.stac-item
2023-11-12 11:55:59	ga_s2am_ard_3-2-1_50JKN_2023-11-12_final.stac-item
2023-11-13 11:25:56	ga_s2am_ard_3-2-1_51JWG_2023-11-13_final.stac-item
2023-11-16 11:37:05	ga_s2am_ard_3-2-1_50HPH_2023-11-16_final.stac-item
2023-12-03 11:26:47	ga_s2am_ard_3-2-1_51HWC_2023-12-03_final.stac-item
2023-12-19 11:43:14	ga_s2am_ard_3-2-1_51KTT_2023-12-19_final.stac-item
2024-01-15 11:34:10	ga_s2am_ard_3-2-1_51KUP_2024-01-15_final.stac-item
2024-03-08 11:45:25	ga_s2am_ard_3-2-1_50JNQ_2024-03-08_final.stac-item
2024-04-13 12:05:16	ga_s2am_ard_3-2-1_49JGL_2024-04-13_final.stac-item
2024-04-16 12:14:59	ga_s2am_ard_3-2-1_49JGM_2024-04-16_final.stac-item
2024-04-23 12:04:31	ga_s2am_ard_3-2-1_49KHP_2024-04-23_final.stac-item
2024-04-23 12:05:58	ga_s2am_ard_3-2-1_50JKN_2024-04-23_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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