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
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KVU_2016-03-07_final.stac-item
2016-03-07 11:25:48	ga_s2am_ard_3-2-1_51KXU_2016-03-07_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_51JUN_2016-06-18_final.stac-item
2016-06-18 11:40:15	ga_s2am_ard_3-2-1_50JQS_2016-06-18_final.stac-item
2016-06-22 11:26:10	ga_s2am_ard_3-2-1_51HVE_2016-06-22_final.stac-item
2016-06-22 11:26:10	ga_s2am_ard_3-2-1_51JVF_2016-06-22_final.stac-item
2016-06-22 11:26:10	ga_s2am_ard_3-2-1_51JXF_2016-06-22_final.stac-item
2016-06-24 12:02:50	ga_s2am_ard_3-2-1_50KMA_2016-06-24_final.stac-item
2022-12-02 11:02:38	ga_s2am_ard_3-2-1_52KFE_2022-12-02_final.stac-item
2022-12-02 11:03:13	ga_s2am_ard_3-2-1_52KGB_2022-12-02_final.stac-item
2022-12-02 11:04:51	ga_s2am_ard_3-2-1_52JDR_2022-12-02_final.stac-item
2022-12-04 11:41:56	ga_s2am_ard_3-2-1_51LWC_2022-12-04_final.stac-item
2022-12-04 11:43:48	ga_s2am_ard_3-2-1_50KRA_2022-12-04_final.stac-item
2022-12-04 11:46:13	ga_s2am_ard_3-2-1_50JMM_2022-12-04_final.stac-item
2022-12-04 11:46:34	ga_s2am_ard_3-2-1_50HPK_2022-12-04_final.stac-item
2022-12-04 11:46:43	ga_s2am_ard_3-2-1_50HQJ_2022-12-04_final.stac-item
2022-12-04 11:46:48	ga_s2am_ard_3-2-1_50HPJ_2022-12-04_final.stac-item
2022-12-04 11:47:03	ga_s2am_ard_3-2-1_50HPH_2022-12-04_final.stac-item
2022-12-04 11:47:10	ga_s2am_ard_3-2-1_50HMH_2022-12-04_final.stac-item
2022-12-05 11:12:50	ga_s2am_ard_3-2-1_52KDD_2022-12-05_final.stac-item
2022-12-05 11:13:58	ga_s2am_ard_3-2-1_52KEU_2022-12-05_final.stac-item
2022-12-07 11:54:58	ga_s2am_ard_3-2-1_50JLS_2022-12-07_final.stac-item
2022-12-07 11:56:00	ga_s2am_ard_3-2-1_50JKN_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
2022-12-08 11:21:54	ga_s2am_ard_3-2-1_52LBH_2022-12-08_final.stac-item
2022-12-09 10:53:43	ga_s2am_ard_3-2-1_53KKQ_2022-12-09_final.stac-item
2022-12-10 12:03:34	ga_s2am_ard_3-2-1_50KNB_2022-12-10_final.stac-item
2022-12-10 12:03:38	ga_s2am_ard_3-2-1_50KMB_2022-12-10_final.stac-item
2022-12-10 12:05:01	ga_s2am_ard_3-2-1_49JGM_2022-12-10_final.stac-item
2022-12-10 12:05:12	ga_s2am_ard_3-2-1_50JKR_2022-12-10_final.stac-item
2022-12-11 11:31:29	ga_s2am_ard_3-2-1_52LBJ_2022-12-11_final.stac-item
2022-12-11 11:32:00	ga_s2am_ard_3-2-1_51LWC_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
2022-12-13 12:14:41	ga_s2am_ard_3-2-1_49JGN_2022-12-13_final.stac-item
2022-12-13 12:15:00	ga_s2am_ard_3-2-1_49JFM_2022-12-13_final.stac-item
2022-12-15 11:10:29	ga_s2am_ard_3-2-1_52LGN_2022-12-15_final.stac-item
2022-12-17 10:16:51	ga_s2am_ard_3-2-1_53HQB_2022-12-17_final.stac-item
2022-12-17 10:17:04	ga_s2am_ard_3-2-1_53HQA_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 11:53:20	ga_s2am_ard_3-2-1_50KPC_2022-12-17_final.stac-item
2022-12-17 11:53:24	ga_s2am_ard_3-2-1_50KNC_2022-12-17_final.stac-item
2022-12-17 11:53:30	ga_s2am_ard_3-2-1_50KMC_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 11:53:35	ga_s2am_ard_3-2-1_50KPB_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 11:53:42	ga_s2am_ard_3-2-1_50KMB_2022-12-17_final.stac-item
2022-12-17 11:53:46	ga_s2am_ard_3-2-1_50KQA_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 11:53:53	ga_s2am_ard_3-2-1_50KNA_2022-12-17_final.stac-item
2022-12-17 11:53:56	ga_s2am_ard_3-2-1_50KMA_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 11:54:04	ga_s2am_ard_3-2-1_50KPV_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 11:54:11	ga_s2am_ard_3-2-1_50KMV_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 11:54:22	ga_s2am_ard_3-2-1_50KNU_2022-12-17_final.stac-item
2022-12-17 11:54:22	ga_s2am_ard_3-2-1_50JQT_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 11:54:32	ga_s2am_ard_3-2-1_50JPT_2022-12-17_final.stac-item
2022-12-17 11:54:33	ga_s2am_ard_3-2-1_50KLU_2022-12-17_final.stac-item
2022-12-17 11:54:36	ga_s2am_ard_3-2-1_50JNT_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 11:54:51	ga_s2am_ard_3-2-1_50JNS_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 11:55:02	ga_s2am_ard_3-2-1_50JPR_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 11:55:12	ga_s2am_ard_3-2-1_50JLR_2022-12-17_final.stac-item
2022-12-17 11:55:15	ga_s2am_ard_3-2-1_50JPQ_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 11:55:25	ga_s2am_ard_3-2-1_50JPP_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 11:55:34	ga_s2am_ard_3-2-1_50JNP_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 11:55:46	ga_s2am_ard_3-2-1_50JKP_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 11:56:29	ga_s2am_ard_3-2-1_50HNK_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 11:57:05	ga_s2am_ard_3-2-1_50HMH_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
2022-12-29 10:56:20	ga_s2am_ard_3-2-1_52HGJ_2022-12-29_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

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