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
2015-09-09 11:36:05	ga_s2am_ard_3-2-1_51JUF_2015-09-09_final.stac-item
2015-12-27 12:05:00	ga_s2am_ard_3-2-1_49JGM_2015-12-27_final.stac-item
2016-05-29 11:40:18	ga_s2am_ard_3-2-1_51KUT_2016-05-29_final.stac-item
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_49JGM_2016-06-04_final.stac-item
2016-07-21 11:48:33	ga_s2am_ard_3-2-1_50JNN_2016-07-21_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_50HNH_2016-10-16_final.stac-item
2016-10-29 11:54:20	ga_s2am_ard_3-2-1_50JKP_2016-10-29_final.stac-item
2017-01-24 11:35:42	ga_s2am_ard_3-2-1_50KQC_2017-01-24_final
2017-01-30 12:02:43	ga_s2am_ard_3-2-1_50KNB_2017-01-30_final
2017-03-11 12:02:41	ga_s2am_ard_3-2-1_50KNC_2017-03-11_final
2017-05-24 11:45:07	ga_s2am_ard_3-2-1_50HNH_2017-05-24_final
2017-08-19 11:30:19	ga_s2am_ard_3-2-1_50HQJ_2017-08-19_final
2017-09-14 11:51:53	ga_s2am_ard_3-2-1_50JLL_2017-09-14_final
2017-09-28 11:36:22	ga_s2am_ard_3-2-1_50HQH_2017-09-28_final
2017-10-04 11:51:53	ga_s2am_ard_3-2-1_50HLH_2017-10-04_final
2017-12-03 11:53:28	ga_s2am_ard_3-2-1_50JML_2017-12-03_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JVF_2017-12-04_final
2017-12-10 11:42:24	ga_s2am_ard_3-2-1_50JQN_2017-12-10_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JQP_2017-12-30_final
2018-01-15 12:04:34	ga_s2am_ard_3-2-1_49JGK_2018-01-15_final
2018-03-10 11:39:48	ga_s2am_ard_3-2-1_50HPH_2018-03-10_final
2018-04-10 11:09:59	ga_s2am_ard_3-2-1_51JYH_2018-04-10_final
2018-04-22 11:53:56	ga_s2am_ard_3-2-1_50JMM_2018-04-22_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50KMV_2018-04-25_final
2018-06-09 11:13:13	ga_s2am_ard_3-2-1_51JYL_2018-06-09_final
2018-06-19 11:09:58	ga_s2am_ard_3-2-1_51JYN_2018-06-19_final
2018-08-21 11:21:36	ga_s2am_ard_3-2-1_51HWD_2018-08-21_final
2018-12-21 12:04:45	ga_s2am_ard_3-2-1_50JLS_2018-12-21_final
2019-01-04 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2019-01-04_final
2019-02-17 11:26:58	ga_s2am_ard_3-2-1_51HUC_2019-02-17_final
2019-03-05 11:46:42	ga_s2am_ard_3-2-1_50HPJ_2019-03-05_final
2019-03-19 11:26:44	ga_s2am_ard_3-2-1_51HUD_2019-03-19_final
2019-06-10 11:36:31	ga_s2am_ard_3-2-1_51HUE_2019-06-10_final
2019-07-23 11:47:07	ga_s2am_ard_3-2-1_50HPH_2019-07-23_final
2019-07-26 11:57:00	ga_s2am_ard_3-2-1_50HLJ_2019-07-26_final
2019-11-17 11:34:04	ga_s2am_ard_3-2-1_51KUQ_2019-11-17_final
2020-01-06 11:34:12	ga_s2am_ard_3-2-1_51KUP_2020-01-06_final
2020-02-02 11:27:00	ga_s2am_ard_3-2-1_51HTC_2020-02-02_final
2020-02-08 11:45:53	ga_s2am_ard_3-2-1_50JQM_2020-02-08_final
2020-02-18 11:43:55	ga_s2am_ard_3-2-1_51KTQ_2020-02-18_final
2020-02-19 11:15:36	ga_s2am_ard_3-2-1_51JXH_2020-02-19_final
2020-03-13 11:25:24	ga_s2am_ard_3-2-1_51JWJ_2020-03-13_final
2020-04-28 11:46:15	ga_s2am_ard_3-2-1_50JMM_2020-04-28_final
2020-05-22 11:26:11	ga_s2am_ard_3-2-1_51JUG_2020-05-22_final
2020-05-25 11:36:25	ga_s2am_ard_3-2-1_50JQL_2020-05-25_final
2020-05-28 11:46:21	ga_s2am_ard_3-2-1_50JQL_2020-05-28_final
2020-06-27 11:46:43	ga_s2am_ard_3-2-1_50HNK_2020-06-27_final
2020-08-06 11:46:12	ga_s2am_ard_3-2-1_50JPM_2020-08-06_final
2020-11-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2020-11-14_final
2020-12-11 11:35:59	ga_s2am_ard_3-2-1_51JTG_2020-12-11_final
2020-12-21 11:33:33	ga_s2am_ard_3-2-1_51KUS_2020-12-21_final
2021-03-04 11:46:19	ga_s2am_ard_3-2-1_50JPL_2021-03-04_final
2021-04-20 11:36:33	ga_s2am_ard_3-2-1_50HPK_2021-04-20_final
2021-05-07 11:24:36	ga_s2am_ard_3-2-1_51JYM_2021-05-07_final
2021-05-23 11:45:36	ga_s2am_ard_3-2-1_50JPP_2021-05-23_final
2021-05-30 11:34:47	ga_s2am_ard_3-2-1_51JUM_2021-05-30_final
2021-07-12 11:46:26	ga_s2am_ard_3-2-1_50JNL_2021-07-12_final
2021-08-31 11:46:39	ga_s2am_ard_3-2-1_50HNK_2021-08-31_final
2021-11-19 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2021-11-19_final
2021-12-08 12:14:58	ga_s2am_ard_3-2-1_49JFM_2021-12-08_final
2021-12-30 11:16:38	ga_s2am_ard_3-2-1_51HYD_2021-12-30_final
2022-02-13 12:03:33	ga_s2am_ard_3-2-1_50KNB_2022-02-13_final
2022-03-19 11:42:32	ga_s2am_ard_3-2-1_51KVA_2022-03-19_final
2022-03-29 11:45:46	ga_s2am_ard_3-2-1_51JTH_2022-03-29_final
2022-04-01 11:55:26	ga_s2am_ard_3-2-1_50JMQ_2022-04-01_final
2022-04-02 11:24:34	ga_s2am_ard_3-2-1_51JZM_2022-04-02_final
2022-04-12 11:26:57	ga_s2am_ard_3-2-1_51HWC_2022-04-12_final.stac-item
2022-05-22 11:24:39	ga_s2am_ard_3-2-1_51JZM_2022-05-22_final
2022-05-31 11:53:58	ga_s2am_ard_3-2-1_50KPA_2022-05-31_final
2022-05-31 11:54:30	ga_s2am_ard_3-2-1_50KNU_2022-05-31_final
2022-05-31 11:55:03	ga_s2am_ard_3-2-1_50JMS_2022-05-31_final
2022-07-17 11:46:38	ga_s2am_ard_3-2-1_50JML_2022-07-17_final
2022-08-06 11:43:26	ga_s2am_ard_3-2-1_51KUT_2022-08-06_final
2022-08-16 11:47:00	ga_s2am_ard_3-2-1_50HPJ_2022-08-16_final
2022-08-26 11:43:34	ga_s2am_ard_3-2-1_50KQC_2022-08-26_final.stac-item
2022-09-05 11:44:57	ga_s2am_ard_3-2-1_50JRS_2022-09-05_final.stac-item
2022-10-22 11:36:30	ga_s2am_ard_3-2-1_51HUE_2022-10-22_final.stac-item
2022-10-29 11:26:29	ga_s2am_ard_3-2-1_51HWE_2022-10-29_final.stac-item
2022-11-17 13:31:36	ga_s2am_ard_3-2-1_46LHN_2022-11-17_interim.stac-item
2022-12-04 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2022-12-04_final.stac-item
2022-12-24 11:43:20	ga_s2am_ard_3-2-1_50KQC_2022-12-24_final.stac-item
2023-01-09 12:05:28	ga_s2am_ard_3-2-1_49JGK_2023-01-09_final.stac-item
2023-02-15 11:57:12	ga_s2am_ard_3-2-1_49HGC_2023-02-15_nrt.stac-item
2023-03-25 11:15:56	ga_s2am_ard_3-2-1_51JXG_2023-03-25_final.stac-item
2023-03-28 11:24:17	ga_s2am_ard_3-2-1_51JZN_2023-03-28_final.stac-item
2023-04-03 11:44:01	ga_s2am_ard_3-2-1_51KTQ_2023-04-03_final.stac-item
2023-04-03 11:44:56	ga_s2am_ard_3-2-1_51JTL_2023-04-03_final.stac-item
2023-05-10 11:36:37	ga_s2am_ard_3-2-1_50HPK_2023-05-10_final.stac-item
2023-05-14 11:15:30	ga_s2am_ard_3-2-1_51JXJ_2023-05-14_final.stac-item
2023-06-15 11:57:20	ga_s2am_ard_3-2-1_49HGC_2023-06-15_nrt.stac-item
2023-06-18 12:04:32	ga_s2am_ard_3-2-1_50KKU_2023-06-18_final.stac-item
2023-07-26 11:26:23	ga_s2am_ard_3-2-1_51JUF_2023-07-26_final.stac-item
2023-09-03 11:56:23	ga_s2am_ard_3-2-1_50JNL_2023-09-03_final.stac-item
2023-09-13 11:57:10	ga_s2am_ard_3-2-1_50HMH_2023-09-13_final.stac-item
2023-11-29 11:43:36	ga_s2am_ard_3-2-1_51KUR_2023-11-29_final.stac-item
2023-12-23 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2023-12-23_final.stac-item
2024-01-05 11:36:10	ga_s2am_ard_3-2-1_51JUF_2024-01-05_final.stac-item
2024-02-24 11:36:30	ga_s2am_ard_3-2-1_51HTE_2024-02-24_final.stac-item
2024-03-15 11:36:19	ga_s2am_ard_3-2-1_50JQL_2024-03-15_final.stac-item
2024-03-19 11:15:43	ga_s2am_ard_3-2-1_51JXH_2024-03-19_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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