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
2016-04-02 11:49:05	ga_s2am_ard_3-2-1_50KQF_2016-04-02_final.stac-item
2016-05-03 11:23:12	ga_s2am_ard_3-2-1_51HVC_2016-05-03_final.stac-item
2016-09-20 11:22:33	ga_s2am_ard_3-2-1_51HUC_2016-09-20_final.stac-item
2016-10-02 12:02:45	ga_s2am_ard_3-2-1_49JGM_2016-10-02_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50KQG_2016-10-09_final.stac-item
2016-11-14 12:13:24	ga_s2am_ard_3-2-1_50KKB_2016-11-14_final.stac-item
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_50KRD_2016-12-25_final
2017-01-08 11:18:08	ga_s2am_ard_3-2-1_51JWH_2017-01-08_final
2017-04-21 11:34:59	ga_s2am_ard_3-2-1_50HPH_2017-04-21_final
2017-07-16 11:49:46	ga_s2am_ard_3-2-1_50JLP_2017-07-16_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_51KUV_2017-12-30_final
2018-01-05 12:02:42	ga_s2am_ard_3-2-1_49JGM_2018-01-05_final
2018-03-17 11:33:01	ga_s2am_ard_3-2-1_50HQH_2018-03-17_final
2018-07-14 12:02:51	ga_s2am_ard_3-2-1_49JGK_2018-07-14_final
2018-08-07 11:40:42	ga_s2am_ard_3-2-1_51KUB_2018-08-07_final.stac-item
2018-08-17 11:45:55	ga_s2am_ard_3-2-1_50HNG_2018-08-17_final.stac-item
2018-11-01 12:02:46	ga_s2am_ard_3-2-1_49JGK_2018-11-01_final
2018-11-22 11:33:18	ga_s2am_ard_3-2-1_51KUT_2018-11-22_final
2018-11-28 11:56:14	ga_s2am_ard_3-2-1_50JML_2018-11-28_final
2019-04-20 12:04:02	ga_s2am_ard_3-2-1_49KHR_2019-04-20_final
2019-04-23 12:14:44	ga_s2am_ard_3-2-1_49JGN_2019-04-23_final
2019-05-13 12:13:43	ga_s2am_ard_3-2-1_50KKB_2019-05-13_final
2019-05-31 11:34:05	ga_s2am_ard_3-2-1_51KUQ_2019-05-31_final
2019-05-31 11:37:09	ga_s2am_ard_3-2-1_50HPH_2019-05-31_final
2019-06-13 11:45:42	ga_s2am_ard_3-2-1_50JNP_2019-06-13_final
2019-06-26 11:56:44	ga_s2am_ard_3-2-1_50HLK_2019-06-26_final
2019-07-02 12:13:59	ga_s2am_ard_3-2-1_49KHR_2019-07-02_final
2019-08-08 12:03:27	ga_s2am_ard_3-2-1_50KMC_2019-08-08_final
2019-10-31 11:47:10	ga_s2am_ard_3-2-1_50HNH_2019-10-31_final
2019-11-29 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2019-11-29_final
2020-01-09 11:46:28	ga_s2am_ard_3-2-1_50HPK_2020-01-09_final
2020-04-22 11:26:56	ga_s2am_ard_3-2-1_51HWC_2020-04-22_final.stac-item
2020-04-24 12:03:21	ga_s2am_ard_3-2-1_50KNC_2020-04-24_final
2020-04-28 11:46:25	ga_s2am_ard_3-2-1_50JNL_2020-04-28_final
2020-06-07 11:47:21	ga_s2am_ard_3-2-1_50HPG_2020-06-07_final.stac-item
2020-06-21 11:27:04	ga_s2am_ard_3-2-1_51HVC_2020-06-21_final
2020-07-24 11:34:08	ga_s2am_ard_3-2-1_51KUQ_2020-07-24_final
2020-09-01 12:06:09	ga_s2am_ard_3-2-1_50JLM_2020-09-01_final
2020-10-15 11:42:22	ga_s2am_ard_3-2-1_51KUB_2020-10-15_final.stac-item
2020-10-18 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-10-18_final
2020-10-25 11:43:35	ga_s2am_ard_3-2-1_51KUS_2020-10-25_final
2020-11-23 12:14:58	ga_s2am_ard_3-2-1_49JGM_2020-11-23_final
2020-12-04 11:44:12	ga_s2am_ard_3-2-1_51KUP_2020-12-04_final
2020-12-14 11:43:00	ga_s2am_ard_3-2-1_51KTU_2020-12-14_final
2021-01-19 12:05:16	ga_s2am_ard_3-2-1_49JGL_2021-01-19_final
2021-02-06 11:24:22	ga_s2am_ard_3-2-1_51JYN_2021-02-06_final
2021-02-18 12:05:43	ga_s2am_ard_3-2-1_49JGJ_2021-02-18_final
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-03_final
2021-03-07 11:52:19	ga_s2am_ard_3-2-1_50KQG_2021-03-07_final.stac-item
2021-03-24 11:42:34	ga_s2am_ard_3-2-1_51KVA_2021-03-24_final
2021-03-31 11:34:03	ga_s2am_ard_3-2-1_51KUQ_2021-03-31_final
2021-04-13 11:46:57	ga_s2am_ard_3-2-1_50HPH_2021-04-13_final
2021-07-05 11:56:43	ga_s2am_ard_3-2-1_50HLK_2021-07-05_final
2021-07-22 11:46:41	ga_s2am_ard_3-2-1_50HNK_2021-07-22_final
2021-09-09 12:14:56	ga_s2am_ard_3-2-1_49JGM_2021-09-09_final
2021-09-10 11:42:46	ga_s2am_ard_3-2-1_51KUV_2021-09-10_final
2021-10-03 11:52:24	ga_s2am_ard_3-2-1_50KQG_2021-10-03_final.stac-item
2021-10-20 11:42:51	ga_s2am_ard_3-2-1_51KUV_2021-10-20_final
2021-11-19 11:42:13	ga_s2am_ard_3-2-1_51KVB_2021-11-19_final
2021-12-06 11:37:02	ga_s2am_ard_3-2-1_50HQH_2021-12-06_final
2021-12-16 11:37:11	ga_s2am_ard_3-2-1_50HQH_2021-12-16_final
2021-12-23 11:24:20	ga_s2am_ard_3-2-1_51JZN_2021-12-23_final
2021-12-29 11:43:17	ga_s2am_ard_3-2-1_51KTT_2021-12-29_final
2022-01-11 11:53:12	ga_s2am_ard_3-2-1_50KRC_2022-01-11_final
2022-01-18 11:43:04	ga_s2am_ard_3-2-1_50KRD_2022-01-18_final
2022-02-04 11:34:17	ga_s2am_ard_3-2-1_51KUP_2022-02-04_final
2022-03-13 11:25:14	ga_s2am_ard_3-2-1_51JXK_2022-03-13_final
2022-04-14 12:05:44	ga_s2am_ard_3-2-1_50JKP_2022-04-14_final
2022-04-28 11:42:51	ga_s2am_ard_3-2-1_51KUV_2022-04-28_final
2022-05-19 11:15:16	ga_s2am_ard_3-2-1_51JYK_2022-05-19_final
2022-07-13 12:03:57	ga_s2am_ard_3-2-1_50KKB_2022-07-13_final
2022-08-22 12:05:42	ga_s2am_ard_3-2-1_49JGK_2022-08-22_final
2022-09-02 11:36:26	ga_s2am_ard_3-2-1_51JUF_2022-09-02_final.stac-item
2022-09-09 11:25:58	ga_s2am_ard_3-2-1_51JVH_2022-09-09_final.stac-item
2022-12-11 11:33:22	ga_s2am_ard_3-2-1_51KUT_2022-12-11_final.stac-item
2022-12-24 11:46:21	ga_s2am_ard_3-2-1_50JNL_2022-12-24_final.stac-item
2023-01-16 11:53:07	ga_s2am_ard_3-2-1_50KRC_2023-01-16_final.stac-item
2023-01-19 12:05:36	ga_s2am_ard_3-2-1_50JKP_2023-01-19_final.stac-item
2023-02-28 12:03:24	ga_s2am_ard_3-2-1_50KLC_2023-02-28_final.stac-item
2023-03-17 11:56:16	ga_s2am_ard_3-2-1_50JNL_2023-03-17_final.stac-item
2023-03-28 11:26:46	ga_s2am_ard_3-2-1_51HUD_2023-03-28_final.stac-item
2023-05-27 11:24:22	ga_s2am_ard_3-2-1_51JZN_2023-05-27_final.stac-item
2023-06-29 11:36:52	ga_s2am_ard_3-2-1_50HQJ_2023-06-29_final.stac-item
2023-06-29 11:37:05	ga_s2am_ard_3-2-1_51HTC_2023-06-29_final.stac-item
2023-07-02 11:43:23	ga_s2am_ard_3-2-1_51KTT_2023-07-02_final.stac-item
2023-07-12 11:42:33	ga_s2am_ard_3-2-1_51KVA_2023-07-12_final.stac-item
2023-07-15 11:53:22	ga_s2am_ard_3-2-1_50KQC_2023-07-15_final.stac-item
2023-07-22 11:42:50	ga_s2am_ard_3-2-1_51KUV_2023-07-22_final.stac-item
2023-09-09 12:15:15	ga_s2am_ard_3-2-1_49JGL_2023-09-09_final.stac-item
2023-09-10 11:46:39	ga_s2am_ard_3-2-1_50HPK_2023-09-10_final.stac-item
2023-11-05 12:05:14	ga_s2am_ard_3-2-1_49JGL_2023-11-05_final.stac-item
2023-12-09 11:42:58	ga_s2am_ard_3-2-1_51KTU_2023-12-09_final.stac-item
2023-12-16 11:33:18	ga_s2am_ard_3-2-1_51KUT_2023-12-16_final.stac-item
2023-12-19 11:42:42	ga_s2am_ard_3-2-1_51KUV_2023-12-19_final.stac-item
2023-12-25 12:05:38	ga_s2am_ard_3-2-1_50JKP_2023-12-25_final.stac-item
2024-01-05 11:35:40	ga_s2am_ard_3-2-1_50JQN_2024-01-05_final.stac-item
2024-01-11 11:56:02	ga_s2am_ard_3-2-1_50JMM_2024-01-11_final.stac-item
2024-01-18 11:43:49	ga_s2am_ard_3-2-1_51KUQ_2024-01-18_final.stac-item
2024-01-28 11:43:13	ga_s2am_ard_3-2-1_51KTT_2024-01-28_final.stac-item
2024-02-10 11:56:22	ga_s2am_ard_3-2-1_50JLL_2024-02-10_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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