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
2016-02-10 11:11:39	ga_s2am_ard_3-2-1_52KFD_2016-02-10_final.stac-item
2016-06-13 10:48:22	ga_s2am_ard_3-2-1_52JFR_2016-06-13_final.stac-item
2016-10-16 11:40:08	ga_s2am_ard_3-2-1_51KUV_2016-10-16_final.stac-item
2016-10-28 10:42:31	ga_s2am_ard_3-2-1_52JGM_2016-10-28_final.stac-item
2016-12-29 11:21:06	ga_s2am_ard_3-2-1_51LZC_2016-12-29_final.stac-item
2017-01-01 11:30:38	ga_s2am_ard_3-2-1_51KXA_2017-01-01_final
2017-01-14 11:34:53	ga_s2am_ard_3-2-1_51KTS_2017-01-14_final
2017-04-25 11:12:16	ga_s2am_ard_3-2-1_52KDC_2017-04-25_final
2017-06-07 11:19:47	ga_s2am_ard_3-2-1_52KCA_2017-06-07_final
2017-06-20 11:28:36	ga_s2am_ard_3-2-1_51KXU_2017-06-20_final
2017-06-27 11:20:55	ga_s2am_ard_3-2-1_51JWJ_2017-06-27_final
2017-08-30 11:02:11	ga_s2am_ard_3-2-1_52KEC_2017-08-30_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50HQJ_2017-12-30_final
2018-01-19 11:41:03	ga_s2am_ard_3-2-1_51KUQ_2018-01-19_final
2018-01-25 12:04:03	ga_s2am_ard_3-2-1_50JKM_2018-01-25_final
2018-03-24 11:16:57	ga_s2am_ard_3-2-1_51KXU_2018-03-24_final
2018-04-19 11:40:43	ga_s2am_ard_3-2-1_51KVR_2018-04-19_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50KLV_2018-05-25_final
2018-09-11 10:47:22	ga_s2am_ard_3-2-1_52JFQ_2018-09-11_final
2018-12-01 12:04:19	ga_s2am_ard_3-2-1_50KKU_2018-12-01_final
2018-12-02 11:33:26	ga_s2am_ard_3-2-1_51KUS_2018-12-02_final
2018-12-02 11:36:54	ga_s2am_ard_3-2-1_50HQH_2018-12-02_final
2019-01-30 12:03:38	ga_s2am_ard_3-2-1_50KLB_2019-01-30_final
2019-02-18 10:55:24	ga_s2am_ard_3-2-1_52JGN_2019-02-18_final
2019-02-18 10:55:38	ga_s2am_ard_3-2-1_52JGM_2019-02-18_final
2019-03-22 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2019-03-22_final
2019-04-08 11:24:45	ga_s2am_ard_3-2-1_51JWM_2019-04-08_final
2019-04-11 11:33:42	ga_s2am_ard_3-2-1_51KVR_2019-04-11_final.stac-item
2019-04-20 12:04:21	ga_s2am_ard_3-2-1_49KGQ_2019-04-20_final
2019-04-25 11:13:08	ga_s2am_ard_3-2-1_52KDC_2019-04-25_final
2019-05-10 12:04:39	ga_s2am_ard_3-2-1_50JMT_2019-05-10_final
2019-05-19 10:55:45	ga_s2am_ard_3-2-1_52JGM_2019-05-19_final
2019-05-27 11:55:05	ga_s2am_ard_3-2-1_50JPR_2019-05-27_final
2019-07-07 11:23:18	ga_s2am_ard_3-2-1_51KXT_2019-07-07_final
2019-07-26 11:57:11	ga_s2am_ard_3-2-1_50HMH_2019-07-26_final
2019-09-10 12:13:57	ga_s2am_ard_3-2-1_49KGR_2019-09-10_final
2019-09-18 11:33:41	ga_s2am_ard_3-2-1_51KWR_2019-09-18_final
2019-10-08 11:33:04	ga_s2am_ard_3-2-1_51KVU_2019-10-08_final
2019-10-28 11:36:30	ga_s2am_ard_3-2-1_50JPL_2019-10-28_final
2019-11-04 11:25:13	ga_s2am_ard_3-2-1_51JXK_2019-11-04_final
2019-11-07 11:32:43	ga_s2am_ard_3-2-1_51KXV_2019-11-07_final
2019-12-06 12:06:07	ga_s2am_ard_3-2-1_50JKM_2019-12-06_final
2020-01-02 11:53:25	ga_s2am_ard_3-2-1_50KMC_2020-01-02_final
2020-02-28 11:42:55	ga_s2am_ard_3-2-1_51KUU_2020-02-28_final
2020-03-23 11:26:11	ga_s2am_ard_3-2-1_51JVF_2020-03-23_final
2020-04-28 11:46:15	ga_s2am_ard_3-2-1_50JMM_2020-04-28_final
2020-06-08 11:13:14	ga_s2am_ard_3-2-1_52KCC_2020-06-08_final
2020-08-23 11:37:12	ga_s2am_ard_3-2-1_50HPH_2020-08-23_final
2020-09-16 11:16:16	ga_s2am_ard_3-2-1_51JXF_2020-09-16_final
2020-11-15 11:14:12	ga_s2am_ard_3-2-1_52KBU_2020-11-15_final
2021-01-11 11:03:20	ga_s2am_ard_3-2-1_52KEB_2021-01-11_final
2021-03-18 11:24:07	ga_s2am_ard_3-2-1_51KYP_2021-03-18_final
2021-04-03 11:42:53	ga_s2am_ard_3-2-1_51KVU_2021-04-03_final
2021-04-17 11:23:33	ga_s2am_ard_3-2-1_51KYR_2021-04-17_final
2021-04-19 12:05:59	ga_s2am_ard_3-2-1_50JLM_2021-04-19_final
2021-04-30 11:36:26	ga_s2am_ard_3-2-1_51HUE_2021-04-30_final
2021-05-03 11:47:12	ga_s2am_ard_3-2-1_50HLH_2021-05-03_final
2021-05-20 11:33:02	ga_s2am_ard_3-2-1_51KYT_2021-05-20_final
2021-05-27 11:23:07	ga_s2am_ard_3-2-1_51KZT_2021-05-27_final
2021-06-28 12:03:46	ga_s2am_ard_3-2-1_50KNA_2021-06-28_final
2021-09-06 12:03:45	ga_s2am_ard_3-2-1_50KKB_2021-09-06_final
2021-09-24 11:23:53	ga_s2am_ard_3-2-1_51KZQ_2021-09-24_final
2021-10-28 11:05:06	ga_s2am_ard_3-2-1_52JEQ_2021-10-28_final
2021-11-24 10:54:48	ga_s2am_ard_3-2-1_52JFR_2021-11-24_final
2021-12-05 12:03:55	ga_s2am_ard_3-2-1_50KLA_2021-12-05_final
2022-02-14 11:35:12	ga_s2am_ard_3-2-1_51JVK_2022-02-14_final
2022-06-08 11:16:45	ga_s2am_ard_3-2-1_51HYD_2022-06-08_final
2022-07-04 11:33:14	ga_s2am_ard_3-2-1_51KVU_2022-07-04_final
2022-07-31 11:25:34	ga_s2am_ard_3-2-1_51JXJ_2022-07-31_final
2022-08-03 11:34:16	ga_s2am_ard_3-2-1_51KXP_2022-08-03_final
2022-09-05 11:46:02	ga_s2am_ard_3-2-1_50JPN_2022-09-05_final.stac-item
2022-09-13 11:05:59	ga_s2am_ard_3-2-1_52JDM_2022-09-13_final.stac-item
2022-10-02 11:32:00	ga_s2am_ard_3-2-1_51LYC_2022-10-02_final.stac-item
2022-10-02 11:33:23	ga_s2am_ard_3-2-1_51KVT_2022-10-02_final.stac-item
2022-10-25 11:41:58	ga_s2am_ard_3-2-1_51LWC_2022-10-25_final.stac-item
2022-10-26 11:15:39	ga_s2am_ard_3-2-1_52JBN_2022-10-26_final.stac-item
2022-12-17 11:57:12	ga_s2am_ard_3-2-1_50HKH_2022-12-17_nrt.stac-item
2023-01-06 11:57:08	ga_s2am_ard_3-2-1_50HLH_2023-01-06_final.stac-item
2023-01-15 10:45:44	ga_s2am_ard_3-2-1_52JGM_2023-01-15_final.stac-item
2023-01-30 11:36:36	ga_s2am_ard_3-2-1_50HPK_2023-01-30_final.stac-item
2023-03-25 11:16:25	ga_s2am_ard_3-2-1_51HXE_2023-03-25_final.stac-item
2023-04-01 11:04:17	ga_s2am_ard_3-2-1_52JET_2023-04-01_final.stac-item
2023-05-07 11:26:58	ga_s2am_ard_3-2-1_51HVC_2023-05-07_final.stac-item
2023-06-05 11:53:14	ga_s2am_ard_3-2-1_50KRC_2023-06-05_final.stac-item
2023-06-26 11:24:04	ga_s2am_ard_3-2-1_52KBU_2023-06-26_final.stac-item
2023-08-31 11:42:04	ga_s2am_ard_3-2-1_51LVC_2023-08-31_final.stac-item
2023-09-23 11:56:09	ga_s2am_ard_3-2-1_50JMM_2023-09-23_final.stac-item
2023-10-10 11:43:17	ga_s2am_ard_3-2-1_51KTT_2023-10-10_final.stac-item
2023-10-11 11:13:50	ga_s2am_ard_3-2-1_52KCV_2023-10-11_final.stac-item
2023-10-11 11:14:22	ga_s2am_ard_3-2-1_51JZN_2023-10-11_final.stac-item
2023-10-14 11:25:37	ga_s2am_ard_3-2-1_51JXH_2023-10-14_final.stac-item
2023-11-10 11:16:07	ga_s2am_ard_3-2-1_51JYF_2023-11-10_final.stac-item
2023-11-17 11:03:18	ga_s2am_ard_3-2-1_52KEB_2023-11-17_final.stac-item
2024-01-22 11:23:29	ga_s2am_ard_3-2-1_51KXR_2024-01-22_final.stac-item
2024-01-22 11:23:57	ga_s2am_ard_3-2-1_52KBU_2024-01-22_final.stac-item
2024-01-31 11:57:08	ga_s2am_ard_3-2-1_50HKH_2024-01-31_final.stac-item
2024-02-05 11:05:12	ga_s2am_ard_3-2-1_52JEP_2024-02-05_final.stac-item
2024-03-02 11:25:06	ga_s2am_ard_3-2-1_51JYK_2024-03-02_final.stac-item
2024-03-05 11:36:58	ga_s2am_ard_3-2-1_51HUC_2024-03-05_final.stac-item
2024-04-08 11:14:08	ga_s2am_ard_3-2-1_51KZP_2024-04-08_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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