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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
2015-11-25 11:21:29	ga_s2am_ard_3-2-1_51HUC_2015-11-25_final.stac-item
2015-12-08 11:30:59	ga_s2am_ard_3-2-1_51KWU_2015-12-08_final.stac-item
2016-01-24 11:19:37	ga_s2am_ard_3-2-1_51KZU_2016-01-24_final.stac-item
2016-05-05 12:03:52	ga_s2am_ard_3-2-1_50KMV_2016-05-05_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JDR_2016-06-06_final.stac-item
2016-06-25 11:32:00	ga_s2am_ard_3-2-1_51JWL_2016-06-25_final.stac-item
2016-07-17 12:13:25	ga_s2am_ard_3-2-1_49JGN_2016-07-17_final.stac-item
2016-08-24 11:31:54	ga_s2am_ard_3-2-1_51JTH_2016-08-24_final.stac-item
2016-09-21 10:55:09	ga_s2am_ard_3-2-1_52JGL_2016-09-21_final.stac-item
2016-10-09 11:48:21	ga_s2am_ard_3-2-1_50JLN_2016-10-09_final.stac-item
2016-11-22 11:27:24	ga_s2am_ard_3-2-1_51KXB_2016-11-22_final.stac-item
2016-12-09 11:21:01	ga_s2am_ard_3-2-1_51KYS_2016-12-09_final
2016-12-13 11:02:39	ga_s2am_ard_3-2-1_52JEN_2016-12-13_final
2016-12-15 11:38:49	ga_s2am_ard_3-2-1_51KUA_2016-12-15_final
2016-12-25 11:36:56	ga_s2am_ard_3-2-1_51KWB_2016-12-25_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_51JZM_2016-12-26_final
2016-12-26 11:14:08	ga_s2am_ard_3-2-1_52JBN_2016-12-26_final
2017-01-31 11:34:46	ga_s2am_ard_3-2-1_50JQP_2017-01-31_final
2017-05-03 12:14:44	ga_s2am_ard_3-2-1_49JGL_2017-05-03_final
2017-09-24 11:56:03	ga_s2am_ard_3-2-1_50JMM_2017-09-24_final
2017-09-27 12:02:46	ga_s2am_ard_3-2-1_50JLM_2017-09-27_final
2017-12-04 11:22:04	ga_s2am_ard_3-2-1_51JYH_2017-12-04_final
2017-12-30 11:42:34	ga_s2am_ard_3-2-1_50JRT_2017-12-30_final
2018-02-03 10:53:11	ga_s2am_ard_3-2-1_52JFL_2018-02-03_final
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JZM_2018-02-19_final
2018-04-16 11:27:23	ga_s2am_ard_3-2-1_51KVB_2018-04-16_final
2018-04-25 12:02:51	ga_s2am_ard_3-2-1_50JKT_2018-04-25_final
2018-05-25 12:03:34	ga_s2am_ard_3-2-1_50JLR_2018-05-25_final
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_51JTJ_2018-06-18_final
2018-08-30 11:53:49	ga_s2am_ard_3-2-1_50JNL_2018-08-30_final
2018-10-07 11:13:21	ga_s2am_ard_3-2-1_51HYD_2018-10-07_final
2018-10-26 11:46:33	ga_s2am_ard_3-2-1_50HPH_2018-10-26_final
2018-10-27 11:13:53	ga_s2am_ard_3-2-1_52HBK_2018-10-27_final
2019-01-24 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-01-24_final
2019-01-25 11:16:33	ga_s2am_ard_3-2-1_51HYD_2019-01-25_final
2019-02-07 11:24:23	ga_s2am_ard_3-2-1_51JXN_2019-02-07_final
2019-04-04 11:46:20	ga_s2am_ard_3-2-1_50JPL_2019-04-04_final
2019-04-14 11:45:27	ga_s2am_ard_3-2-1_50JNQ_2019-04-14_final
2019-04-18 11:24:35	ga_s2am_ard_3-2-1_51JZM_2019-04-18_final
2019-05-27 11:55:09	ga_s2am_ard_3-2-1_50JNR_2019-05-27_final
2019-07-14 11:15:42	ga_s2am_ard_3-2-1_52JBN_2019-07-14_final
2019-11-27 11:33:09	ga_s2am_ard_3-2-1_51KXT_2019-11-27_final
2019-12-01 11:16:01	ga_s2am_ard_3-2-1_52JCL_2019-12-01_final
2020-01-09 11:43:13	ga_s2am_ard_3-2-1_50KRC_2020-01-09_final
2020-02-21 11:56:31	ga_s2am_ard_3-2-1_50HMK_2020-02-21_final
2020-04-21 11:57:07	ga_s2am_ard_3-2-1_50HMH_2020-04-21_final
2020-05-14 12:06:15	ga_s2am_ard_3-2-1_50JKM_2020-05-14_final
2020-06-11 11:26:24	ga_s2am_ard_3-2-1_51JUF_2020-06-11_final
2020-09-11 12:05:59	ga_s2am_ard_3-2-1_50JKN_2020-09-11_final
2020-09-12 11:35:30	ga_s2am_ard_3-2-1_51JVJ_2020-09-12_final
2020-12-12 11:04:15	ga_s2am_ard_3-2-1_52JET_2020-12-12_final
2021-01-07 11:23:36	ga_s2am_ard_3-2-1_51KZR_2021-01-07_final
2021-01-30 11:35:27	ga_s2am_ard_3-2-1_51JVJ_2021-01-30_final
2021-02-06 11:26:58	ga_s2am_ard_3-2-1_51HVC_2021-02-06_final
2021-03-08 11:26:41	ga_s2am_ard_3-2-1_51HUD_2021-03-08_final
2021-03-21 11:33:35	ga_s2am_ard_3-2-1_51KXR_2021-03-21_final
2021-04-13 11:41:53	ga_s2am_ard_3-2-1_51LVC_2021-04-13_final
2021-04-14 11:14:17	ga_s2am_ard_3-2-1_51JZN_2021-04-14_final
2021-05-14 11:16:26	ga_s2am_ard_3-2-1_51HXE_2021-05-14_final
2021-06-09 11:34:47	ga_s2am_ard_3-2-1_51JUM_2021-06-09_final
2021-06-21 12:15:00	ga_s2am_ard_3-2-1_49JFM_2021-06-21_final
2021-06-29 11:34:45	ga_s2am_ard_3-2-1_51JTM_2021-06-29_final
2021-07-17 10:55:49	ga_s2am_ard_3-2-1_52JFM_2021-07-17_final
2021-08-25 11:24:46	ga_s2am_ard_3-2-1_52JBR_2021-08-25_final
2021-09-26 12:04:31	ga_s2am_ard_3-2-1_50KKU_2021-09-26_final
2021-10-20 11:46:48	ga_s2am_ard_3-2-1_50HQJ_2021-10-20_final
2022-01-04 12:06:11	ga_s2am_ard_3-2-1_50JKM_2022-01-04_final
2022-01-14 12:04:00	ga_s2am_ard_3-2-1_49KHR_2022-01-14_final
2022-01-25 11:31:24	ga_s2am_ard_3-2-1_51LYE_2022-01-25_final
2022-02-04 11:31:53	ga_s2am_ard_3-2-1_51LYC_2022-02-04_final
2022-02-24 11:36:13	ga_s2am_ard_3-2-1_51JVF_2022-02-24_final
2022-03-19 11:43:33	ga_s2am_ard_3-2-1_51KUS_2022-03-19_final
2022-04-29 11:14:29	ga_s2am_ard_3-2-1_52JBT_2022-04-29_final
2022-05-29 11:14:28	ga_s2am_ard_3-2-1_52JCT_2022-05-29_final
2022-07-07 11:46:56	ga_s2am_ard_3-2-1_50HQJ_2022-07-07_final
2022-07-28 11:15:20	ga_s2am_ard_3-2-1_51JYK_2022-07-28_final
2022-08-21 10:54:34	ga_s2am_ard_3-2-1_52JFT_2022-08-21_final
2022-10-02 11:31:28	ga_s2am_ard_3-2-1_51LZE_2022-10-02_final.stac-item
2022-12-05 11:14:26	ga_s2am_ard_3-2-1_52JDS_2022-12-05_final.stac-item
2022-12-22 11:04:54	ga_s2am_ard_3-2-1_52JCR_2022-12-22_final.stac-item
2023-01-14 11:15:36	ga_s2am_ard_3-2-1_51JYH_2023-01-14_final.stac-item
2023-01-27 11:23:55	ga_s2am_ard_3-2-1_51KXQ_2023-01-27_final.stac-item
2023-01-27 11:25:25	ga_s2am_ard_3-2-1_51JWJ_2023-01-27_final.stac-item
2023-02-03 11:16:21	ga_s2am_ard_3-2-1_51HYE_2023-02-03_final.stac-item
2023-03-24 11:47:13	ga_s2am_ard_3-2-1_50HLH_2023-03-24_final.stac-item
2023-06-27 10:54:16	ga_s2am_ard_3-2-1_52JGT_2023-06-27_final.stac-item
2023-07-09 11:34:16	ga_s2am_ard_3-2-1_51KWP_2023-07-09_final.stac-item
2023-07-29 11:32:25	ga_s2am_ard_3-2-1_51KVB_2023-07-29_final.stac-item
2023-08-03 10:45:52	ga_s2am_ard_3-2-1_52JGM_2023-08-03_final.stac-item
2023-08-07 12:06:14	ga_s2am_ard_3-2-1_50JKM_2023-08-07_final.stac-item
2023-09-03 11:57:18	ga_s2am_ard_3-2-1_50HKH_2023-09-03_nrt.stac-item
2023-11-13 11:25:23	ga_s2am_ard_3-2-1_51JXJ_2023-11-13_final.stac-item
2023-11-19 11:42:57	ga_s2am_ard_3-2-1_51KUU_2023-11-19_final.stac-item
2024-01-19 11:13:45	ga_s2am_ard_3-2-1_51KZQ_2024-01-19_final.stac-item
2024-02-11 11:21:07	ga_s2am_ard_3-2-1_51LZF_2024-02-11_final.stac-item
2024-02-11 11:22:57	ga_s2am_ard_3-2-1_51KXU_2024-02-11_final.stac-item
2024-02-28 11:16:19	ga_s2am_ard_3-2-1_52HBK_2024-02-28_final.stac-item
2024-03-08 11:44:42	ga_s2am_ard_3-2-1_51JTM_2024-03-08_final.stac-item
2024-03-19 11:16:35	ga_s2am_ard_3-2-1_52HBJ_2024-03-19_final.stac-item
2024-05-08 11:16:37	ga_s2am_ard_3-2-1_52HBJ_2024-05-08_nrt.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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