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
2019-03-28 11:54:22	ga_s2am_ard_3-2-1_50KNU_2019-03-28_final.stac-item
2019-03-28 11:54:25	ga_s2am_ard_3-2-1_50KMU_2019-03-28_final.stac-item
2019-03-28 11:54:37	ga_s2am_ard_3-2-1_50JNT_2019-03-28_final.stac-item
2019-03-28 11:54:40	ga_s2am_ard_3-2-1_50JMT_2019-03-28_final.stac-item
2019-03-28 11:54:51	ga_s2am_ard_3-2-1_50JNS_2019-03-28_final.stac-item
2019-03-28 11:54:54	ga_s2am_ard_3-2-1_50JMS_2019-03-28_final.stac-item
2019-03-28 11:55:06	ga_s2am_ard_3-2-1_50JNR_2019-03-28_final.stac-item
2019-03-28 11:55:09	ga_s2am_ard_3-2-1_50JMR_2019-03-28_final.stac-item
2019-03-28 11:55:20	ga_s2am_ard_3-2-1_50JNQ_2019-03-28_final.stac-item
2019-03-28 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2019-03-28_final.stac-item
2019-03-28 11:55:34	ga_s2am_ard_3-2-1_50JNP_2019-03-28_final.stac-item
2019-03-28 11:55:38	ga_s2am_ard_3-2-1_50JMP_2019-03-28_final.stac-item
2019-03-28 11:55:49	ga_s2am_ard_3-2-1_50JNN_2019-03-28_final.stac-item
2019-03-28 11:55:52	ga_s2am_ard_3-2-1_50JMN_2019-03-28_final.stac-item
2019-03-28 11:56:04	ga_s2am_ard_3-2-1_50JNM_2019-03-28_final.stac-item
2019-03-28 11:56:07	ga_s2am_ard_3-2-1_50JMM_2019-03-28_final.stac-item
2019-03-28 11:56:17	ga_s2am_ard_3-2-1_50JNL_2019-03-28_final.stac-item
2019-03-28 11:56:22	ga_s2am_ard_3-2-1_50JML_2019-03-28_final.stac-item
2019-03-28 11:56:29	ga_s2am_ard_3-2-1_50HNK_2019-03-28_final.stac-item
2019-03-28 11:56:36	ga_s2am_ard_3-2-1_50HMK_2019-03-28_final.stac-item
2019-03-31 12:03:20	ga_s2am_ard_3-2-1_50KNC_2019-03-31_final.stac-item
2019-03-31 12:03:23	ga_s2am_ard_3-2-1_50KMC_2019-03-31_final.stac-item
2019-03-31 12:03:33	ga_s2am_ard_3-2-1_50KNB_2019-03-31_final.stac-item
2019-03-31 12:03:38	ga_s2am_ard_3-2-1_50KMB_2019-03-31_final.stac-item
2019-03-31 12:03:44	ga_s2am_ard_3-2-1_50KNA_2019-03-31_final.stac-item
2019-03-31 12:03:52	ga_s2am_ard_3-2-1_50KMA_2019-03-31_final.stac-item
2019-04-07 11:53:26	ga_s2am_ard_3-2-1_50KNC_2019-04-07_final.stac-item
2019-04-07 11:53:32	ga_s2am_ard_3-2-1_50KMC_2019-04-07_final.stac-item
2019-04-07 11:53:40	ga_s2am_ard_3-2-1_50KNB_2019-04-07_final.stac-item
2019-04-07 11:53:44	ga_s2am_ard_3-2-1_50KMB_2019-04-07_final.stac-item
2019-04-07 11:53:55	ga_s2am_ard_3-2-1_50KNA_2019-04-07_final.stac-item
2019-04-07 11:53:58	ga_s2am_ard_3-2-1_50KMA_2019-04-07_final.stac-item
2019-04-07 11:54:09	ga_s2am_ard_3-2-1_50KNV_2019-04-07_final.stac-item
2019-04-07 11:54:12	ga_s2am_ard_3-2-1_50KMV_2019-04-07_final.stac-item
2019-04-10 12:03:21	ga_s2am_ard_3-2-1_50KNC_2019-04-10_final.stac-item
2019-04-10 12:03:25	ga_s2am_ard_3-2-1_50KMC_2019-04-10_final.stac-item
2019-04-10 12:03:35	ga_s2am_ard_3-2-1_50KNB_2019-04-10_final.stac-item
2019-04-10 12:03:39	ga_s2am_ard_3-2-1_50KMB_2019-04-10_final.stac-item
2019-04-10 12:03:46	ga_s2am_ard_3-2-1_50KNA_2019-04-10_final.stac-item
2019-04-10 12:03:54	ga_s2am_ard_3-2-1_50KMA_2019-04-10_final.stac-item
2019-06-13 11:46:58	ga_s2am_ard_3-2-1_50HMJ_2019-06-13_final.stac-item
2019-06-13 11:47:09	ga_s2am_ard_3-2-1_50HNH_2019-06-13_final.stac-item
2019-06-13 11:47:13	ga_s2am_ard_3-2-1_50HMH_2019-06-13_final.stac-item
2019-06-16 11:53:28	ga_s2am_ard_3-2-1_50KNC_2019-06-16_final.stac-item
2019-06-16 11:53:34	ga_s2am_ard_3-2-1_50KMC_2019-06-16_final.stac-item
2019-06-16 11:53:42	ga_s2am_ard_3-2-1_50KNB_2019-06-16_final.stac-item
2019-06-16 11:53:46	ga_s2am_ard_3-2-1_50KMB_2019-06-16_final.stac-item
2019-06-16 11:53:51	ga_s2am_ard_3-2-1_50KNA_2019-06-16_final.stac-item
2019-06-16 11:53:52	ga_s2am_ard_3-2-1_50KMB_2019-06-16_final.stac-item
2019-06-16 11:53:52	ga_s2am_ard_3-2-1_50KMA_2019-06-16_final.stac-item
2019-07-16 11:56:09	ga_s2am_ard_3-2-1_50JNM_2019-07-16_final.stac-item
2019-07-16 11:56:13	ga_s2am_ard_3-2-1_50JMM_2019-07-16_final.stac-item
2019-07-16 11:56:23	ga_s2am_ard_3-2-1_50JNL_2019-07-16_final.stac-item
2019-07-16 11:56:27	ga_s2am_ard_3-2-1_50JML_2019-07-16_final.stac-item
2019-07-16 11:56:35	ga_s2am_ard_3-2-1_50HNK_2019-07-16_final.stac-item
2019-07-16 11:56:42	ga_s2am_ard_3-2-1_50HMK_2019-07-16_final.stac-item
2019-09-01 11:46:09	ga_s2am_ard_3-2-1_50JNM_2019-09-01_final.stac-item
2019-09-01 11:46:13	ga_s2am_ard_3-2-1_50JMM_2019-09-01_final.stac-item
2019-09-01 11:46:23	ga_s2am_ard_3-2-1_50JNL_2019-09-01_final.stac-item
2019-09-01 11:46:26	ga_s2am_ard_3-2-1_50JML_2019-09-01_final.stac-item
2019-09-01 11:46:38	ga_s2am_ard_3-2-1_50HNK_2019-09-01_final.stac-item
2019-09-01 11:46:41	ga_s2am_ard_3-2-1_50HMK_2019-09-01_final.stac-item
2019-09-01 11:46:52	ga_s2am_ard_3-2-1_50HNJ_2019-09-01_final.stac-item
2019-09-01 11:46:56	ga_s2am_ard_3-2-1_50HMJ_2019-09-01_final.stac-item
2019-09-01 11:47:07	ga_s2am_ard_3-2-1_50HNH_2019-09-01_final.stac-item
2019-09-01 11:47:10	ga_s2am_ard_3-2-1_50HMH_2019-09-01_final.stac-item
2019-09-04 11:56:30	ga_s2am_ard_3-2-1_50HNK_2019-09-04_final.stac-item
2019-09-04 11:56:36	ga_s2am_ard_3-2-1_50HMK_2019-09-04_final.stac-item
2021-02-15 11:53:23	ga_s2am_ard_3-2-1_50KNC_2021-02-15_final.stac-item
2021-02-15 11:56:21	ga_s2am_ard_3-2-1_50JML_2021-02-15_final.stac-item
2021-02-15 11:56:28	ga_s2am_ard_3-2-1_50HNK_2021-02-15_final.stac-item
2021-02-15 11:56:35	ga_s2am_ard_3-2-1_50HMK_2021-02-15_final.stac-item
2021-02-22 11:45:53	ga_s2am_ard_3-2-1_50JNN_2021-02-22_final.stac-item
2021-02-22 11:46:08	ga_s2am_ard_3-2-1_50JNM_2021-02-22_final.stac-item
2021-02-22 11:46:12	ga_s2am_ard_3-2-1_50JMM_2021-02-22_final.stac-item
2021-02-22 11:46:22	ga_s2am_ard_3-2-1_50JNL_2021-02-22_final.stac-item
2021-02-22 11:46:25	ga_s2am_ard_3-2-1_50JML_2021-02-22_final.stac-item
2021-02-22 11:46:37	ga_s2am_ard_3-2-1_50HNK_2021-02-22_final.stac-item
2021-02-22 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-02-22_final.stac-item
2021-02-22 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-02-22_final.stac-item
2021-02-22 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-02-22_final.stac-item
2021-02-22 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-02-22_final.stac-item
2021-02-22 11:47:09	ga_s2am_ard_3-2-1_50HMH_2021-02-22_final.stac-item
2021-02-22 11:47:20	ga_s2am_ard_3-2-1_50HNG_2021-02-22_final
2021-02-22 11:47:24	ga_s2am_ard_3-2-1_50HMG_2021-02-22_final
2021-02-25 11:53:24	ga_s2am_ard_3-2-1_50KNC_2021-02-25_final.stac-item
2021-02-25 11:53:30	ga_s2am_ard_3-2-1_50KMC_2021-02-25_final.stac-item
2021-02-25 11:56:29	ga_s2am_ard_3-2-1_50HNK_2021-02-25_final.stac-item
2021-02-25 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-02-25_final.stac-item
2021-03-07 11:56:36	ga_s2am_ard_3-2-1_50HMK_2021-03-07_final.stac-item
2021-03-10 12:03:19	ga_s2am_ard_3-2-1_50KNC_2021-03-10_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 12:03:33	ga_s2am_ard_3-2-1_50KNB_2021-03-10_final.stac-item
2021-03-10 12:03:37	ga_s2am_ard_3-2-1_50KMB_2021-03-10_final.stac-item
2021-03-10 12:03:44	ga_s2am_ard_3-2-1_50KNA_2021-03-10_final.stac-item
2021-03-10 12:03:52	ga_s2am_ard_3-2-1_50KMA_2021-03-10_final.stac-item
2021-03-14 11:46:40	ga_s2am_ard_3-2-1_50HMK_2021-03-14_final.stac-item
2021-03-14 11:46:51	ga_s2am_ard_3-2-1_50HNJ_2021-03-14_final.stac-item
2021-03-14 11:46:55	ga_s2am_ard_3-2-1_50HMJ_2021-03-14_final.stac-item
2021-03-14 11:47:06	ga_s2am_ard_3-2-1_50HNH_2021-03-14_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

All years