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
2022-12-02 11:04:51	ga_s2am_ard_3-2-1_52JDR_2022-12-02_final.stac-item
2022-12-02 11:06:37	ga_s2am_ard_3-2-1_51HYD_2022-12-02_final.stac-item
2022-12-04 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-12-04_final.stac-item
2022-12-06 10:45:30	ga_s2am_ard_3-2-1_53JNG_2022-12-06_final.stac-item
2022-12-07 10:11:09	ga_s2am_ard_3-2-1_55LBD_2022-12-07_final.stac-item
2022-12-07 10:12:21	ga_s2am_ard_3-2-1_55KBU_2022-12-07_final.stac-item
2022-12-08 11:21:36	ga_s2am_ard_3-2-1_52LBJ_2022-12-08_final.stac-item
2022-12-10 10:24:02	ga_s2am_ard_3-2-1_54JUT_2022-12-10_final.stac-item
2022-12-10 10:25:11	ga_s2am_ard_3-2-1_54JVN_2022-12-10_final.stac-item
2022-12-10 12:03:34	ga_s2am_ard_3-2-1_50KNB_2022-12-10_final.stac-item
2022-12-11 09:54:13	ga_s2am_ard_3-2-1_55JFL_2022-12-11_final.stac-item
2022-12-11 11:31:31	ga_s2am_ard_3-2-1_51LWE_2022-12-11_final.stac-item
2022-12-11 11:36:05	ga_s2am_ard_3-2-1_50JQM_2022-12-11_final.stac-item
2022-12-12 11:05:23	ga_s2am_ard_3-2-1_52JCP_2022-12-12_final.stac-item
2022-12-13 10:31:32	ga_s2am_ard_3-2-1_54KWG_2022-12-13_final.stac-item
2022-12-14 10:04:07	ga_s2am_ard_3-2-1_54JZS_2022-12-14_final.stac-item
2022-12-15 11:16:19	ga_s2am_ard_3-2-1_51JWF_2022-12-15_final.stac-item
2022-12-17 10:09:58	ga_s2am_ard_3-2-1_54LZP_2022-12-17_final.stac-item
2022-12-17 10:10:40	ga_s2am_ard_3-2-1_54LZL_2022-12-17_final.stac-item
2022-12-17 10:10:50	ga_s2am_ard_3-2-1_55LCE_2022-12-17_final.stac-item
2022-12-17 10:11:04	ga_s2am_ard_3-2-1_55LCD_2022-12-17_final.stac-item
2022-12-17 10:11:07	ga_s2am_ard_3-2-1_55LBD_2022-12-17_final.stac-item
2022-12-17 10:11:22	ga_s2am_ard_3-2-1_55LBC_2022-12-17_final.stac-item
2022-12-17 10:11:33	ga_s2am_ard_3-2-1_55KCB_2022-12-17_final.stac-item
2022-12-17 10:11:52	ga_s2am_ard_3-2-1_54KZF_2022-12-17_final.stac-item
2022-12-17 10:11:55	ga_s2am_ard_3-2-1_54KYF_2022-12-17_final.stac-item
2022-12-17 10:12:06	ga_s2am_ard_3-2-1_54KZE_2022-12-17_final.stac-item
2022-12-17 10:12:10	ga_s2am_ard_3-2-1_54KYE_2022-12-17_final.stac-item
2022-12-17 10:12:16	ga_s2am_ard_3-2-1_55KCU_2022-12-17_final.stac-item
2022-12-17 10:12:20	ga_s2am_ard_3-2-1_55KBU_2022-12-17_final.stac-item
2022-12-17 10:12:21	ga_s2am_ard_3-2-1_54KZD_2022-12-17_final.stac-item
2022-12-17 10:12:34	ga_s2am_ard_3-2-1_55KBT_2022-12-17_final.stac-item
2022-12-17 10:12:42	ga_s2am_ard_3-2-1_54KXC_2022-12-17_final.stac-item
2022-12-17 10:12:53	ga_s2am_ard_3-2-1_54KYB_2022-12-17_final.stac-item
2022-12-17 10:12:57	ga_s2am_ard_3-2-1_54KXB_2022-12-17_final.stac-item
2022-12-17 10:13:03	ga_s2am_ard_3-2-1_54KWB_2022-12-17_final.stac-item
2022-12-17 10:13:04	ga_s2am_ard_3-2-1_54KZA_2022-12-17_final.stac-item
2022-12-17 10:13:08	ga_s2am_ard_3-2-1_54KYA_2022-12-17_final.stac-item
2022-12-17 10:13:18	ga_s2am_ard_3-2-1_55KBQ_2022-12-17_final.stac-item
2022-12-17 10:13:19	ga_s2am_ard_3-2-1_54KZV_2022-12-17_final.stac-item
2022-12-17 10:13:44	ga_s2am_ard_3-2-1_54KWU_2022-12-17_final.stac-item
2022-12-17 10:13:51	ga_s2am_ard_3-2-1_54JYT_2022-12-17_final.stac-item
2022-12-17 10:14:09	ga_s2am_ard_3-2-1_54JXS_2022-12-17_final.stac-item
2022-12-17 10:14:13	ga_s2am_ard_3-2-1_54JWS_2022-12-17_final.stac-item
2022-12-17 10:14:16	ga_s2am_ard_3-2-1_54JVS_2022-12-17_final.stac-item
2022-12-17 10:14:24	ga_s2am_ard_3-2-1_54JXR_2022-12-17_final.stac-item
2022-12-17 10:14:27	ga_s2am_ard_3-2-1_54JWR_2022-12-17_final.stac-item
2022-12-17 10:14:34	ga_s2am_ard_3-2-1_54JYQ_2022-12-17_final.stac-item
2022-12-17 10:14:47	ga_s2am_ard_3-2-1_54JYP_2022-12-17_final.stac-item
2022-12-17 10:14:56	ga_s2am_ard_3-2-1_54JVP_2022-12-17_final.stac-item
2022-12-17 10:14:56	ga_s2am_ard_3-2-1_54JYP_2022-12-17_final.stac-item
2022-12-17 10:14:59	ga_s2am_ard_3-2-1_54JXN_2022-12-17_final.stac-item
2022-12-17 10:15:03	ga_s2am_ard_3-2-1_54JVP_2022-12-17_final.stac-item
2022-12-17 10:15:49	ga_s2am_ard_3-2-1_54HXK_2022-12-17_final.stac-item
2022-12-17 10:16:01	ga_s2am_ard_3-2-1_54HUK_2022-12-17_final.stac-item
2022-12-17 10:16:13	ga_s2am_ard_3-2-1_54HVJ_2022-12-17_final.stac-item
2022-12-17 10:16:20	ga_s2am_ard_3-2-1_54HTJ_2022-12-17_final.stac-item
2022-12-17 10:16:23	ga_s2am_ard_3-2-1_54HWH_2022-12-17_final.stac-item
2022-12-17 10:17:03	ga_s2am_ard_3-2-1_54HWE_2022-12-17_final.stac-item
2022-12-17 10:17:10	ga_s2am_ard_3-2-1_54HVE_2022-12-17_final.stac-item
2022-12-17 10:17:25	ga_s2am_ard_3-2-1_54HVD_2022-12-17_final.stac-item
2022-12-17 11:51:26	ga_s2am_ard_3-2-1_51LUE_2022-12-17_final.stac-item
2022-12-17 11:52:53	ga_s2am_ard_3-2-1_51KTU_2022-12-17_final.stac-item
2022-12-17 11:52:58	ga_s2am_ard_3-2-1_50KRD_2022-12-17_final.stac-item
2022-12-17 11:53:16	ga_s2am_ard_3-2-1_50KQC_2022-12-17_final.stac-item
2022-12-17 11:53:31	ga_s2am_ard_3-2-1_50KQB_2022-12-17_final.stac-item
2022-12-17 11:53:38	ga_s2am_ard_3-2-1_50KNB_2022-12-17_final.stac-item
2022-12-17 11:53:49	ga_s2am_ard_3-2-1_50KPA_2022-12-17_final.stac-item
2022-12-17 11:54:00	ga_s2am_ard_3-2-1_50KQV_2022-12-17_final.stac-item
2022-12-17 11:54:07	ga_s2am_ard_3-2-1_50KNV_2022-12-17_final.stac-item
2022-12-17 11:54:18	ga_s2am_ard_3-2-1_50KPU_2022-12-17_final.stac-item
2022-12-17 11:54:25	ga_s2am_ard_3-2-1_50KMU_2022-12-17_final.stac-item
2022-12-17 11:54:40	ga_s2am_ard_3-2-1_50JMT_2022-12-17_final.stac-item
2022-12-17 11:54:44	ga_s2am_ard_3-2-1_50JLT_2022-12-17_final.stac-item
2022-12-17 11:54:47	ga_s2am_ard_3-2-1_50JPS_2022-12-17_final.stac-item
2022-12-17 11:54:54	ga_s2am_ard_3-2-1_50JMS_2022-12-17_final.stac-item
2022-12-17 11:54:57	ga_s2am_ard_3-2-1_50JLS_2022-12-17_final.stac-item
2022-12-17 11:55:05	ga_s2am_ard_3-2-1_50JNR_2022-12-17_final.stac-item
2022-12-17 11:55:09	ga_s2am_ard_3-2-1_50JMR_2022-12-17_final.stac-item
2022-12-17 11:55:20	ga_s2am_ard_3-2-1_50JNQ_2022-12-17_final.stac-item
2022-12-17 11:55:23	ga_s2am_ard_3-2-1_50JMQ_2022-12-17_final.stac-item
2022-12-17 11:55:27	ga_s2am_ard_3-2-1_50JLQ_2022-12-17_final.stac-item
2022-12-17 11:55:38	ga_s2am_ard_3-2-1_50JMP_2022-12-17_final.stac-item
2022-12-17 11:55:41	ga_s2am_ard_3-2-1_50JLP_2022-12-17_final.stac-item
2022-12-17 11:55:49	ga_s2am_ard_3-2-1_50JNN_2022-12-17_final.stac-item
2022-12-17 11:55:52	ga_s2am_ard_3-2-1_50JMN_2022-12-17_final.stac-item
2022-12-17 11:55:56	ga_s2am_ard_3-2-1_50JLN_2022-12-17_final.stac-item
2022-12-17 11:55:59	ga_s2am_ard_3-2-1_50JKN_2022-12-17_final.stac-item
2022-12-17 11:56:03	ga_s2am_ard_3-2-1_50JNM_2022-12-17_final.stac-item
2022-12-17 11:56:07	ga_s2am_ard_3-2-1_50JMM_2022-12-17_final.stac-item
2022-12-17 11:56:10	ga_s2am_ard_3-2-1_50JLM_2022-12-17_final.stac-item
2022-12-17 11:56:13	ga_s2am_ard_3-2-1_50JKM_2022-12-17_final.stac-item
2022-12-17 11:56:17	ga_s2am_ard_3-2-1_50JNL_2022-12-17_final.stac-item
2022-12-17 11:56:21	ga_s2am_ard_3-2-1_50JML_2022-12-17_final.stac-item
2022-12-17 11:56:25	ga_s2am_ard_3-2-1_50JLL_2022-12-17_final.stac-item
2022-12-17 11:56:36	ga_s2am_ard_3-2-1_50HMK_2022-12-17_final.stac-item
2022-12-17 11:56:39	ga_s2am_ard_3-2-1_50HLK_2022-12-17_final.stac-item
2022-12-17 11:56:50	ga_s2am_ard_3-2-1_50HMJ_2022-12-17_final.stac-item
2022-12-17 11:56:54	ga_s2am_ard_3-2-1_50HLJ_2022-12-17_final.stac-item
2022-12-17 11:57:08	ga_s2am_ard_3-2-1_50HLH_2022-12-17_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

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