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
2021-03-01 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2021-03-01_final.stac-item
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-03_final.stac-item
2021-03-03 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-03-03_final.stac-item
2021-03-03 12:14:07	ga_s2am_ard_3-2-1_50KKV_2021-03-03_final.stac-item
2021-03-03 12:14:13	ga_s2am_ard_3-2-1_49KGQ_2021-03-03_final.stac-item
2021-03-03 12:14:27	ga_s2am_ard_3-2-1_49KGP_2021-03-03_final.stac-item
2021-03-04 11:44:45	ga_s2am_ard_3-2-1_51JTM_2021-03-04_final.stac-item
2021-03-05 11:16:44	ga_s2am_ard_3-2-1_51HWD_2021-03-05_final.stac-item
2021-03-07 11:54:51	ga_s2am_ard_3-2-1_50JNS_2021-03-07_final.stac-item
2021-03-07 11:55:24	ga_s2am_ard_3-2-1_50JMQ_2021-03-07_final.stac-item
2021-03-07 11:55:49	ga_s2am_ard_3-2-1_50JNN_2021-03-07_final.stac-item
2021-03-07 11:56:51	ga_s2am_ard_3-2-1_50HMJ_2021-03-07_final.stac-item
2021-03-10 12:03:23	ga_s2am_ard_3-2-1_50KMC_2021-03-10_final.stac-item
2021-03-10 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-10_final.stac-item
2021-03-10 12:04:13	ga_s2am_ard_3-2-1_50KKV_2021-03-10_final.stac-item
2021-03-10 12:04:31	ga_s2am_ard_3-2-1_49KGP_2021-03-10_final.stac-item
2021-03-10 12:05:11	ga_s2am_ard_3-2-1_50JKR_2021-03-10_final.stac-item
2021-03-10 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-03-10_final.stac-item
2021-03-11 11:35:33	ga_s2am_ard_3-2-1_51JTJ_2021-03-11_final.stac-item
2021-03-11 11:35:37	ga_s2am_ard_3-2-1_50JQP_2021-03-11_final.stac-item
2021-03-11 11:35:50	ga_s2am_ard_3-2-1_50JQN_2021-03-11_final.stac-item
2021-03-11 11:36:17	ga_s2am_ard_3-2-1_51JTF_2021-03-11_final.stac-item
2021-03-11 11:36:28	ga_s2am_ard_3-2-1_51HUE_2021-03-11_final.stac-item
2021-03-13 12:13:54	ga_s2am_ard_3-2-1_50KKA_2021-03-13_final.stac-item
2021-03-13 12:13:54	ga_s2am_ard_3-2-1_49KHR_2021-03-13_final.stac-item
2021-03-13 12:14:07	ga_s2am_ard_3-2-1_50KKV_2021-03-13_final.stac-item
2021-03-13 12:14:12	ga_s2am_ard_3-2-1_49KGQ_2021-03-13_final.stac-item
2021-03-13 12:14:26	ga_s2am_ard_3-2-1_49KGP_2021-03-13_final.stac-item
2021-03-14 11:45:21	ga_s2am_ard_3-2-1_50JPQ_2021-03-14_final.stac-item
2021-03-14 11:45:32	ga_s2am_ard_3-2-1_50JQP_2021-03-14_final.stac-item
2021-03-14 11:45:46	ga_s2am_ard_3-2-1_50JQN_2021-03-14_final.stac-item
2021-03-14 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-03-14_final.stac-item
2021-03-17 11:55:49	ga_s2am_ard_3-2-1_50JNN_2021-03-17_final.stac-item
2021-03-18 11:26:39	ga_s2am_ard_3-2-1_51HWD_2021-03-18_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_50KKA_2021-03-20_final.stac-item
2021-03-20 12:03:58	ga_s2am_ard_3-2-1_49KHR_2021-03-20_final.stac-item
2021-03-20 12:04:17	ga_s2am_ard_3-2-1_49KGQ_2021-03-20_final.stac-item
2021-03-20 12:04:30	ga_s2am_ard_3-2-1_49KGP_2021-03-20_final.stac-item
2021-03-20 12:05:22	ga_s2am_ard_3-2-1_50JLQ_2021-03-20_final.stac-item
2021-03-21 11:35:32	ga_s2am_ard_3-2-1_51JTJ_2021-03-21_final.stac-item
2021-03-21 11:35:36	ga_s2am_ard_3-2-1_50JQP_2021-03-21_final.stac-item
2021-03-21 11:36:27	ga_s2am_ard_3-2-1_51HUE_2021-03-21_final.stac-item
2021-03-23 12:13:53	ga_s2am_ard_3-2-1_50KKA_2021-03-23_final.stac-item
2021-03-23 12:13:53	ga_s2am_ard_3-2-1_49KHR_2021-03-23_final.stac-item
2021-03-24 11:43:35	ga_s2am_ard_3-2-1_50KQB_2021-03-24_final.stac-item
2021-03-24 11:44:44	ga_s2am_ard_3-2-1_51JTM_2021-03-24_final.stac-item
2021-03-24 11:45:10	ga_s2am_ard_3-2-1_50JNR_2021-03-24_final.stac-item
2021-03-24 11:45:20	ga_s2am_ard_3-2-1_50JPQ_2021-03-24_final.stac-item
2021-03-24 11:45:31	ga_s2am_ard_3-2-1_50JQP_2021-03-24_final.stac-item
2021-03-24 11:45:45	ga_s2am_ard_3-2-1_50JQN_2021-03-24_final.stac-item
2021-03-27 11:53:37	ga_s2am_ard_3-2-1_50KNB_2021-03-27_final.stac-item
2021-03-27 11:55:04	ga_s2am_ard_3-2-1_50JNR_2021-03-27_final.stac-item
2021-03-27 11:55:14	ga_s2am_ard_3-2-1_50JPQ_2021-03-27_final.stac-item
2021-03-27 11:55:37	ga_s2am_ard_3-2-1_50JMP_2021-03-27_final.stac-item
2021-03-27 11:55:47	ga_s2am_ard_3-2-1_50JNN_2021-03-27_final.stac-item
2021-03-30 12:03:56	ga_s2am_ard_3-2-1_50KKA_2021-03-30_final.stac-item
2021-03-30 12:03:57	ga_s2am_ard_3-2-1_49KHR_2021-03-30_final.stac-item
2021-03-30 12:04:11	ga_s2am_ard_3-2-1_50KKV_2021-03-30_final.stac-item
2021-03-30 12:04:16	ga_s2am_ard_3-2-1_49KGQ_2021-03-30_final.stac-item
2021-03-30 12:04:29	ga_s2am_ard_3-2-1_49KGP_2021-03-30_final.stac-item
2021-03-31 11:35:31	ga_s2am_ard_3-2-1_51JTJ_2021-03-31_final.stac-item
2021-03-31 11:35:34	ga_s2am_ard_3-2-1_50JQP_2021-03-31_final.stac-item
2021-03-31 11:35:48	ga_s2am_ard_3-2-1_50JQN_2021-03-31_final.stac-item
2021-04-02 12:13:51	ga_s2am_ard_3-2-1_49KHR_2021-04-02_final.stac-item
2021-04-02 12:14:17	ga_s2am_ard_3-2-1_49KGQ_2021-04-02_final.stac-item
2021-04-02 12:14:24	ga_s2am_ard_3-2-1_49KGP_2021-04-02_final.stac-item
2021-04-09 12:03:54	ga_s2am_ard_3-2-1_49KHR_2021-04-09_final.stac-item
2021-04-09 12:04:09	ga_s2am_ard_3-2-1_50KKV_2021-04-09_final.stac-item
2021-04-12 12:13:49	ga_s2am_ard_3-2-1_50KKA_2021-04-12_final.stac-item
2021-04-12 12:14:02	ga_s2am_ard_3-2-1_50KKV_2021-04-12_final.stac-item
2021-04-12 12:14:22	ga_s2am_ard_3-2-1_49KGP_2021-04-12_final.stac-item
2021-04-19 12:04:08	ga_s2am_ard_3-2-1_50KKV_2021-04-19_final.stac-item
2021-04-19 12:04:52	ga_s2am_ard_3-2-1_50JKS_2021-04-19_final.stac-item
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2021-04-22_final.stac-item
2021-04-22 12:13:50	ga_s2am_ard_3-2-1_49KHR_2021-04-22_final.stac-item
2021-04-22 12:14:03	ga_s2am_ard_3-2-1_50KKV_2021-04-22_final.stac-item
2021-04-22 12:14:08	ga_s2am_ard_3-2-1_49KGQ_2021-04-22_final.stac-item
2021-04-22 12:14:22	ga_s2am_ard_3-2-1_49KGP_2021-04-22_final.stac-item
2021-04-29 12:04:15	ga_s2am_ard_3-2-1_49KGQ_2021-04-29_final.stac-item
2021-04-29 12:04:28	ga_s2am_ard_3-2-1_49KGP_2021-04-29_final.stac-item
2021-05-03 11:43:49	ga_s2am_ard_3-2-1_50KQA_2021-05-03_final.stac-item
2021-05-07 11:26:36	ga_s2am_ard_3-2-1_51HWD_2021-05-07_final.stac-item
2021-05-16 11:53:39	ga_s2am_ard_3-2-1_50KNB_2021-05-16_final.stac-item
2021-05-19 12:05:01	ga_s2am_ard_3-2-1_49JGM_2021-05-19_final.stac-item
2021-05-19 12:05:12	ga_s2am_ard_3-2-1_50JKR_2021-05-19_final.stac-item
2021-05-19 12:05:46	ga_s2am_ard_3-2-1_49JGJ_2021-05-19_final.stac-item
2021-06-03 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-06-03_final.stac-item
2021-06-03 11:16:45	ga_s2am_ard_3-2-1_51HWD_2021-06-03_final.stac-item
2021-06-06 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-06-06_final.stac-item
2021-06-09 11:36:29	ga_s2am_ard_3-2-1_51HUE_2021-06-09_final.stac-item
2021-06-09 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-06-09_final.stac-item
2021-06-13 11:16:41	ga_s2am_ard_3-2-1_51HXD_2021-06-13_final.stac-item
2021-06-16 11:26:33	ga_s2am_ard_3-2-1_51HUE_2021-06-16_final.stac-item
2021-06-16 11:26:36	ga_s2am_ard_3-2-1_51HXD_2021-06-16_final.stac-item
2021-06-16 11:27:02	ga_s2am_ard_3-2-1_51HUC_2021-06-16_final.stac-item
2021-06-19 11:36:58	ga_s2am_ard_3-2-1_51HUC_2021-06-19_final.stac-item
2021-06-23 11:16:42	ga_s2am_ard_3-2-1_51HXD_2021-06-23_final.stac-item
2021-06-26 11:26:42	ga_s2am_ard_3-2-1_51HWD_2021-06-26_final.stac-item
2021-06-29 11:36:19	ga_s2am_ard_3-2-1_51JTF_2021-06-29_final.stac-item
2021-06-29 11:36:30	ga_s2am_ard_3-2-1_51HUE_2021-06-29_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

Land and vegetation

Inland water

Sea, ocean and coast

Hazards

Other products

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