Aquarius Time Series - Westmont College
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1. Left Y Axis Right Y Axis Red Blue Title AA O El 2 0 10 Sep 2011 Radar H H Scale Data H V Scale N Selected Area Average VV Scale Na To 16 5484 RVI Scale ey i Standard Deviation HH VV san i gt 4 I 2 6408 Correlation Images HH amp VV HH VV Scale HH amp HV HH HV Scale I Start Corner HV amp VV HV VV Scale 771 256 RVI HH Scale SM amp HH End Corner RVI HV Scale SM amp HV E 854 330 RVI VV Scale SM amp VV Land Classification Land Classification Image Color Scale Soll Moisture Data A H H B H H a Value Time A H V B H V SAR N Left Y Axis A HH Avg B HH Avg Red A HVAvg B HV Avg fe tas A VV Avg B VV Avg Other Delta H H gt Delta H V Delta H H gt Delta V V Delta H V gt Delta V V Time Indexes Plot and View Options N 10 Sep 2011 Pi A o Radar H H Scale l Data H V Scale N a Selected Area Average V V scale Dr es ota 16 6033 RVI Scale ts Standard Deviation HH VV 2 4452 Correlation Images HH amp VV HH VV Scale HH amp HV HH HV Scale N lt Start Corner HV amp VV HV VV Scale 784 260 RVI HH Scale SM amp HH End Co rner 848 327 RVI HV Scale SM amp HV RVI VV Scale SM amp VV Land Classification Land Classification Image Color Scale Soll Moisture Data A H H B H H gt Vaue Vaue A H V B H V A V V B V V l2. r Bi IE X Axis Y Axis A HH Avi B HH Av A HVAvg B HV Avg 3 A VV Avg B VV Avg Linear Fit E 3 ee 0 0 032008 0 57634 ther Delta H V gt Delta W V Value vs Value RR LP EI Io Radar H H Scale H V Scale V V Scale RVI Scale HH VV Correlation Images HH amp VV HH VV Scale HH amp HV HH HV Scale HV amp VV HV VV Scale RVI HH Scale SM amp HH RVI HV Scale SM amp HV RVI VV Scale SM amp VV Land Classification Land Classification Image Soll Moisture Data A H H B H H A H V B H V A V V B V V A HH Avg B HH Avg A HVAvg B HV Avg A VV Avg B VV Avg Other Delta H H gt Delta H Delta H H gt Delta V Delta H V gt Delta Time Indexes Time Series 9 N 14 0ct 2012 Data Selected Area Average 17 0152 Standard Deviation 2 3967 Start Corner 774 259 End Corner 851 299 Color Scale gt rmesenes Series FPS 4 Current Index 59 Final Index 130 E 420 Radar H H Scale H V Scale V V Scale RVI Scale HH VV Correlation Images HH amp VV HH VV Scale HH amp HV HH HV Scale HV amp VV HV VV Scale RVI HH Scale SM amp HH RVI HV Scale SM amp HV RVI VV Scale SM amp VV Land Classification Land Classification Image Soll Moisture Data A H H B H H A H V B H V A V V T 5 V V A HH Avg B HH Avg A HVAva B HV Avg kf A VV Avg B VV Avg Other Delta H H
3. 71 256 N N End Corner RVI HV Scale SM amp HV ou RVI VV Scale SM amp VV 854 330 V V Scale Land Classification Land Classification Image i Color Scale Soll Moisture Data BEE 50 A H V B H V a vauemme A V V B V V Left Y Axis Right Y Axis A HH Avg B HH Avg Red Blue A HVAva B HV Avg A VV Avg B VV Avg Other Delta H H gt Detta H V Delta H H gt Delta V V Delta H V gt Delta V V Time Indexes The purpose of this program is to help display and analyze radar data from the Aquarius Satellite Radar N ET DEL TED mo mise N 10 Sep 2011 Data Selected Area Average 16 5484 Standard Deviation Correlation Images n Xe et BR be End Corner Land Classification Land Classification Image Color Scale Soll Moisture Data mai B p Ja gt E I i LETI T MAIS TUTTI T MAIS A HH Avg Red Blue Other Delta H H gt Delta H V Delta H H gt Delta V V Delta H V gt Delta V V Time Indexes Layout Radar see mh Correlation Images Land Classification KULTIN RICE RICCI RICE Other Delta H H gt Delta H V Delta H H gt Delta V V Delta H V gt Delta V V Time Indexes 10 Sep 2011 Data Selected Area Average 16 5484 Standard Deviation 2 6408 Start Corner PAL 256 End Corner 854 330 Color Scale LG REL o Value Time
4. Aquarius Time Series Guide User Manual Instructions This software was developed using Matlab 2014a In order to run this software you should at least have the 2014a version no guarantee that is will work on later versions To run the Aguarius Time Series Application Double click on the Run m file located in the Aguarius folder This will trigger Matlab to open If there are not enough available licenses on the network then Matlab will throw an error window If this happens simply try again later when there are less JPL employees using Matlab Once Matlab is open and the code is showing there are two ways to complete the next step Click the Run button o in the editor toolbar at the top _ 5 v Type Run in the mined VN and press Enter Matlab might ask you to change to the correct folder If it does click Change Folder Accept The program will then run A loading window will inform you that the data is being loaded into the workspace Once it is finished loading the data the application will be displayed SD SN gt W El O N 10 Sep 2011 Radar H H Scale H V Scale Data Selected Area Average ME ft i re EN i 16 5484 RVI Scale a b aa a 1 SAIT AN Standard Deviation HH VV k i A i s A TEN vi a i N 2 6408 Correlation Images n CONA R HH amp VV HH VV Scale HH amp HV HH HV Scale HV amp VV HV VV Scale A 2 Start Corner i RVI HH Scale SM amp HH i 7
5. ages that display each pixel s correlation between two types of data over the whole time span 130 images 2 years Scale is from 0 gt 1 406x964x1 Example HH amp VV Correlation For each pixel x y CorrHHVV x y corr2 HH x y VV X Y corr2 is a built in Matlab function from the image statistics toolbox iteration through entire data Correlation Images HH amp HV Correlation HH amp VV Correlation HV amp VV Correlation HH amp HV Scale Correlation HH amp VV Scale Correlation HV amp VV Scale Correlation RVI amp HV Scale Correlation RVI amp VV Scale Correlation RVI amp VV Scale Correlation HH amp SM Correlation VV amp SM Correlation HV amp SM Correlation Data Info Land Classification Soil Moisture data SM Data originally in Lat Long coordinates 180x360 smap2ease function to transform to 406X964 grid hence the lower looking resolution Scale is from 0 1 Data obtained from http nsidc org data AQ3 WKSM Bindlish R and T Jackson 2013 Aquarius L3 Gridded 1 Degree Weekly Soil Moisture Version 2 Boulder Colorado USA NASA DAAC at the National Snow and Ice Data Center Land Classification Sample Image Sample image of past land classification smap2ease function to transform to 406X964 grid Last slide of this guide will show the scale and classification types A amp B Land Values A HH B HH A HV B HV A VV B VV
6. and series averages Aand B values represent constants that are common among each terrain type Aand B images are 3D arrays with the dimensions 406x964x130 but each image is repeated 4 times 32 different images Each pixel s value is obtained from the following equation For every 6 images and entire series for averages temphh 1 4 1 HH x y 1 4 tempsm 1 4 1 SM x y 1 4 f fit temphh tempsm Poly1 Linear least square fit 6 pixels in time HHA x y 1 4 f p1 1 Slope HHB x y 1 4 f p2 1 Y Intercept iterate through the range Data Info Other Delta Data AHH AHV AVV Anarray of values 406x964x129 where each point is the difference in value between the current image and the next time image Only visible in the plot Delta Images AHH gt AHV AHH gt AVV AHV gt AVV Creates an image while looking at the difference between two A data types 406x964x1 Each pixels value is obtained from the following equation For each pixel For t 1 129 if AHH x y t gt AHV x y t DHHDHV x y 1 Increment the current value else DHHDHV x y 1 Decrement the current value HH VV Anarray of images generated by dividing a pixels HH value by the corresponding VV value Division in linear scale is egual to subtraction in logarithmic scale 406x964x130 linearly scaled example For each pixel amp image HHVV x y t HH x y t VV x y t Other Informat
7. ata SM A amp B values From HH amp SM every 6 images A amp B values From HV amp SM every 6 images A amp B values From VV amp SM every 6 images A amp B Avg values From HH amp SM Entire series A amp B Avg values From HV amp SM Entire series A amp B Avg values From VV amp SM Entire series Other AHH gt AHV AHH gt AVV AHV gt AVV HH VV BadData to keep track of bad data amp ocean locations not visible Data Info Radar Polarimetry The Radar data HH HV VV is a 3D array with the dimensions 406x964x130 representing 130 pictures with the resolution 406x964 Scale is from 50 gt 10 Data is in db The Radar Vegetation Index data RVI is 406x964x130 Normalized HV Scale is from 0 1 Data is linear Each pixel s value is obtained from the following equation db gt linear before computing RVI x y t 8 HV x vy t HH x y t VV x y t 2 HV x y t The Wetness Parameter Scale data HH Scale HV Scale VV Scale RVI Scale are 3D arrays with the dimensions 406x964x130 representing 130 pictures with the resolution 406x964 Scale is from O 1 Data is Linear Each pixel s value is obtained from the following equation HHParameter x y t HH x y t Min HH x y Max HH x y Min HH x y iteration through entire data Data Info Correlation Images The Correlation Images are single im
8. gt Delta H V Delta H H gt Delta V V Delta H V gt Delta V V Click Drag and Drop 18 0 z 20 40 60 The Main Image ou Time Indexes Clicking on the Image 2 options yy o n N 10 Sep 2011 Data elected Area Average 16 5484 Standard Deviation Start Corner 771 256 End Corner 854 330 Color Scale KEI mae mesen Left Y Axis Right Y Axis Red Blue Data Information The data that gets loaded into the application is stored as a mat file The reason for this is to can keep all the data and variables in one location Computing them all at once saves time and leaves less work for the application The Data is saved as AguariusWeeklyData mat It contains several series of 130 images Sept 2011 Feb 2014 Oweekly intervals Each image has the dimensions 406x964 AguariusWeeklyData mat contains the following Radar Polarimetry HH VV HV RVI HH Wetness Parameter Scale HV Wetness Parameter Scale VV Wetness Parameter Scale RVI Wetness Parameter Scale Correlation Images HH amp HV Correlation HH amp VV Correlation HV amp VV Correlation HH amp HV Scale Correlation HH amp VV Scale Correlation HV amp VV Scale Correlation RVI amp HV Scale Correlation RVI amp VV Scale Correlation RVI amp VV Scale Correlation Land Classification Sample Land Classification Image Soil Moisture d
9. ion Other functions LoadData Reads raw data and creates the datasets previously listed LoadNevvFiles Loads the path and filenames of the ravv data smapease2forward Convert between different grids smapease2inverse Convert between different grids maxCustom A custom max function that ignores when a value is bad data minCustom A custom max function that ignores when a value is bad data custlinfit A custom linear regression fit function for faster computation For more information view the code file Contact Any questions or issues please contact Robert Schneider 8650 Robert F Schneider jpl nasa gov 818 354 3678 321 225N robschneider16 gmail com 818 319 5904 mobile 0 Water MI Evergreen Needleleaf Forest NNN 2 Evergreen Broadleaf Forest NN 3 Deciduous Needleleaf Forest EH 4 Deciduous Broadleaf Forest NNN 5 Mixed Forests NEN 6 Closed Shrublands MN 7 Open Shrublands N 8 Woody Savannas E 9 Savannas EJ 10 Grasslands MIN 11 Permanent Wetlands MN 12 Croplands NNN 13 Urban and Built Up NIM 14 Cropland Natural Veg Mosaic 15 Snow and Ice 16 Barren or Sparsely Vegetated NN 17 Tundra
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