Search ga_s2am_ard_3 whole collection

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud pixels.\n\nFor these ARD products, this value comes from the Fmask algorithm.\n 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\n\n(e.g. ‘epsg:32654’)\n:

One of - final|interim|nrt (near real time):

ID of a dataset type:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n from:

Ground sampling distance of the sensor’s best resolution band\nin metres; represents the size (or spatial resolution) of one pixel.\n to (exclusive):

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n from:

The azimuth angle of the sun at the moment of acquisition, in degree units measured clockwise from due north\n to (exclusive):

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n from:

The elevation angle of the sun at the moment of acquisition, in degree units relative to the horizon.\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud shadow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear snow pixels according to the Fmask algorithm\n 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\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear water pixels according to the Fmask algorithm\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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)\n 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.\nFor Sentinel it is MGRS code.\n:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains clear land pixels according to s3cloudless\n to (exclusive):

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n from:

The proportion (from 0 to 100) of the dataset's valid data area that contains cloud land pixels according to s3cloudless\n to (exclusive):

Unique identifier for a datastrip relative to a given Datatake.\n\n(e.g. ‘S2A_OPER_MSI_L1C_DS_SGS__20161214T040601_S20161214T005840_N02.04’)\n:

ESA product URI, with the '.SAFE' ending removed.\n\n(e.g. 'S2A_MSIL1C_20220303T000731_N0400_R073_T56LNM_20220303T012845')\n:

Granule ID according to the ESA naming convention\n\n(e.g. ‘S2A_OPER_MSI_L1C_TL_SGS__20161214T040601_A007721_T53KRB_N02.04’)\n:

Acquisition time range From

Acquisition time range to (exclusive)

Dataset URI:

Add field

First 100 results (query limit)

Time (local)	Label
2016-06-04 12:02:54	ga_s2am_ard_3-2-1_50JLR_2016-06-04_final.stac-item
2016-06-06 10:58:03	ga_s2am_ard_3-2-1_52JFR_2016-06-06_final.stac-item
2016-10-26 11:39:44	ga_s2am_ard_3-2-1_50HNH_2016-10-26_final.stac-item
2016-11-07 10:41:30	ga_s2am_ard_3-2-1_52JGL_2016-11-07_final.stac-item
2016-12-11 12:02:45	ga_s2am_ard_3-2-1_50JKM_2016-12-11_final.stac-item
2016-12-22 11:29:07	ga_s2am_ard_3-2-1_51HTC_2016-12-22_final.stac-item
2017-03-18 11:51:11	ga_s2am_ard_3-2-1_50HMK_2017-03-18_final.stac-item
2017-05-11 11:35:01	ga_s2am_ard_3-2-1_51HTD_2017-05-11_final.stac-item
2017-09-21 11:40:44	ga_s2am_ard_3-2-1_50HNJ_2017-09-21_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51JUH_2017-11-07_final.stac-item
2017-11-07 11:31:46	ga_s2am_ard_3-2-1_51KXR_2017-11-07_final.stac-item
2017-11-14 11:22:07	ga_s2am_ard_3-2-1_51JVF_2017-11-14_final.stac-item
2017-11-22 10:43:02	ga_s2am_ard_3-2-1_52JGL_2017-11-22_final.stac-item
2018-01-13 11:19:15	ga_s2am_ard_3-2-1_51KZR_2018-01-13_final.stac-item
2018-01-26 11:29:50	ga_s2am_ard_3-2-1_51LXC_2018-01-26_final.stac-item
2018-02-19 11:07:09	ga_s2am_ard_3-2-1_51JZM_2018-02-19_final.stac-item
2018-02-25 11:27:26	ga_s2am_ard_3-2-1_51JVK_2018-02-25_final.stac-item
2018-03-16 12:02:45	ga_s2am_ard_3-2-1_50JKN_2018-03-16_final.stac-item
2018-03-21 11:11:51	ga_s2am_ard_3-2-1_51JYF_2018-03-21_final.stac-item
2018-04-07 10:57:16	ga_s2am_ard_3-2-1_51HYD_2018-04-07_final.stac-item
2018-06-08 11:40:20	ga_s2am_ard_3-2-1_50KQB_2018-06-08_final.stac-item
2018-06-18 11:44:07	ga_s2am_ard_3-2-1_50JPS_2018-06-18_final.stac-item
2018-06-28 11:45:31	ga_s2am_ard_3-2-1_51JTG_2018-06-28_final.stac-item
2018-07-31 11:53:40	ga_s2am_ard_3-2-1_50HNK_2018-07-31_final.stac-item
2018-09-30 11:24:01	ga_s2am_ard_3-2-1_51KWP_2018-09-30_final.stac-item
2018-10-27 11:07:09	ga_s2am_ard_3-2-1_52KEE_2018-10-27_final.stac-item
2018-12-12 11:33:57	ga_s2am_ard_3-2-1_51KXP_2018-12-12_final.stac-item
2019-01-19 10:55:56	ga_s2am_ard_3-2-1_52JFL_2019-01-19_final.stac-item
2019-02-07 11:24:23	ga_s2am_ard_3-2-1_51JXN_2019-02-07_final.stac-item
2019-08-08 12:06:14	ga_s2am_ard_3-2-1_50JKM_2019-08-08_final.stac-item
2019-08-12 11:41:59	ga_s2am_ard_3-2-1_51LWC_2019-08-12_final.stac-item
2019-08-19 11:32:35	ga_s2am_ard_3-2-1_51KVA_2019-08-19_final.stac-item
2019-10-25 11:23:33	ga_s2am_ard_3-2-1_51KXS_2019-10-25_final.stac-item
2019-12-10 11:43:11	ga_s2am_ard_3-2-1_51KUT_2019-12-10_final.stac-item
2019-12-11 11:14:27	ga_s2am_ard_3-2-1_52JDS_2019-12-11_final.stac-item
2020-01-06 11:33:33	ga_s2am_ard_3-2-1_51KXR_2020-01-06_final.stac-item
2020-02-08 11:44:59	ga_s2am_ard_3-2-1_50JPR_2020-02-08_final.stac-item
2020-02-09 11:15:46	ga_s2am_ard_3-2-1_51JYG_2020-02-09_final.stac-item
2020-02-15 11:35:01	ga_s2am_ard_3-2-1_51JWK_2020-02-15_final.stac-item
2020-03-24 10:54:18	ga_s2am_ard_3-2-1_52JFT_2020-03-24_final.stac-item
2020-04-02 11:25:27	ga_s2am_ard_3-2-1_51JVJ_2020-04-02_final.stac-item
2020-05-04 12:05:44	ga_s2am_ard_3-2-1_50JKP_2020-05-04_final.stac-item
2020-07-08 11:13:44	ga_s2am_ard_3-2-1_51KZR_2020-07-08_final.stac-item
2020-07-12 10:54:52	ga_s2am_ard_3-2-1_52JFR_2020-07-12_final.stac-item
2020-07-14 11:33:57	ga_s2am_ard_3-2-1_51KXQ_2020-07-14_final.stac-item
2020-08-04 11:06:12	ga_s2am_ard_3-2-1_52JCL_2020-08-04_final.stac-item
2020-08-09 11:56:14	ga_s2am_ard_3-2-1_50JMM_2020-08-09_final.stac-item
2020-08-09 11:56:31	ga_s2am_ard_3-2-1_50JLL_2020-08-09_final.stac-item
2020-11-14 11:46:46	ga_s2am_ard_3-2-1_50HQJ_2020-11-14_final.stac-item
2020-12-08 11:21:58	ga_s2am_ard_3-2-1_52KDG_2020-12-08_final.stac-item
2020-12-22 11:01:59	ga_s2am_ard_3-2-1_52KGG_2020-12-22_final.stac-item
2021-03-11 11:36:46	ga_s2am_ard_3-2-1_51HTD_2021-03-11_final.stac-item
2021-05-30 11:34:02	ga_s2am_ard_3-2-1_51KWQ_2021-05-30_final.stac-item
2021-06-16 11:23:57	ga_s2am_ard_3-2-1_51KXQ_2021-06-16_final.stac-item
2021-07-08 12:05:58	ga_s2am_ard_3-2-1_50JKN_2021-07-08_final.stac-item
2021-07-22 11:47:18	ga_s2am_ard_3-2-1_50HLH_2021-07-22_final.stac-item
2021-08-21 11:42:11	ga_s2am_ard_3-2-1_51KWB_2021-08-21_final.stac-item
2021-09-17 11:36:59	ga_s2am_ard_3-2-1_51HUC_2021-09-17_final.stac-item
2021-09-27 11:37:10	ga_s2am_ard_3-2-1_50HPH_2021-09-27_final.stac-item
2021-10-01 11:16:16	ga_s2am_ard_3-2-1_51JXF_2021-10-01_final.stac-item
2021-10-31 11:12:03	ga_s2am_ard_3-2-1_52KFG_2021-10-31_final.stac-item
2022-01-12 11:24:45	ga_s2am_ard_3-2-1_52JBR_2022-01-12_final.stac-item
2022-01-29 11:13:51	ga_s2am_ard_3-2-1_52KCV_2022-01-29_final.stac-item
2022-03-25 12:05:58	ga_s2am_ard_3-2-1_50JKN_2022-03-25_final.stac-item
2022-03-30 11:14:34	ga_s2am_ard_3-2-1_52JDS_2022-03-30_final.stac-item
2022-06-01 11:25:32	ga_s2am_ard_3-2-1_51JXJ_2022-06-01_final.stac-item
2022-06-18 11:14:40	ga_s2am_ard_3-2-1_51JYN_2022-06-18_final.stac-item
2022-07-21 11:25:21	ga_s2am_ard_3-2-1_51JXK_2022-07-21_final.stac-item
2022-08-10 11:23:12	ga_s2am_ard_3-2-1_51KXU_2022-08-10_final.stac-item
2022-08-10 11:23:25	ga_s2am_ard_3-2-1_51KXT_2022-08-10_final.stac-item
2022-08-10 11:24:16	ga_s2am_ard_3-2-1_51KZP_2022-08-10_final.stac-item
2022-08-20 11:23:13	ga_s2am_ard_3-2-1_51KXU_2022-08-20_final.stac-item
2022-09-25 11:46:37	ga_s2am_ard_3-2-1_50HQK_2022-09-25_final.stac-item
2022-10-02 11:31:28	ga_s2am_ard_3-2-1_51LZE_2022-10-02_final.stac-item
2022-10-26 11:16:37	ga_s2am_ard_3-2-1_52HBJ_2022-10-26_nrt.stac-item
2022-11-18 11:26:45	ga_s2am_ard_3-2-1_51HVD_2022-11-18_final.stac-item
2022-12-08 11:26:44	ga_s2am_ard_3-2-1_51HVD_2022-12-08_final.stac-item
2022-12-22 11:02:50	ga_s2am_ard_3-2-1_52KED_2022-12-22_final.stac-item
2023-01-04 11:16:33	ga_s2am_ard_3-2-1_52HBJ_2023-01-04_nrt.stac-item
2023-01-10 11:36:45	ga_s2am_ard_3-2-1_51HTD_2023-01-10_final.stac-item
2023-01-14 11:16:41	ga_s2am_ard_3-2-1_51HWD_2023-01-14_final.stac-item
2023-02-23 11:15:38	ga_s2am_ard_3-2-1_51JXH_2023-02-23_final
2023-03-30 12:03:35	ga_s2am_ard_3-2-1_50KMB_2023-03-30_final
2023-04-03 11:41:58	ga_s2am_ard_3-2-1_51LVC_2023-04-03_final
2023-06-18 12:05:05	ga_s2am_ard_3-2-1_49JGM_2023-06-18_final
2023-06-20 11:03:06	ga_s2am_ard_3-2-1_52KFC_2023-06-20_final
2023-08-12 11:15:56	ga_s2am_ard_3-2-1_52JBM_2023-08-12_final
2023-09-03 11:56:19	ga_s2am_ard_3-2-1_50JKM_2023-09-03_final
2023-09-13 11:57:04	ga_s2am_ard_3-2-1_50HLJ_2023-09-13_final
2023-11-12 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2023-11-12_final
2023-12-02 11:56:06	ga_s2am_ard_3-2-1_50JKM_2023-12-02_final
2023-12-20 11:16:40	ga_s2am_ard_3-2-1_51HWD_2023-12-20_final
2023-12-29 11:46:52	ga_s2am_ard_3-2-1_50HMJ_2023-12-29_final
2023-12-29 11:47:07	ga_s2am_ard_3-2-1_50HMH_2023-12-29_final
2024-01-03 10:55:28	ga_s2am_ard_3-2-1_52JFN_2024-01-03_final
2024-01-22 11:21:47	ga_s2am_ard_3-2-1_51LZC_2024-01-22_final
2024-02-13 12:05:47	ga_s2am_ard_3-2-1_49JGJ_2024-02-13_final
2024-03-06 11:05:59	ga_s2am_ard_3-2-1_52JBM_2024-03-06_final
2024-03-19 11:15:25	ga_s2am_ard_3-2-1_51JYJ_2024-03-19_final
2024-04-25 11:04:53	ga_s2am_ard_3-2-1_52JDR_2024-04-25_final

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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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