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It will notify you, all the instructions on what and how you can calculate the distance of the area measure. No special skill needed, anyone with smartphone mod-post-likes android and ios can simply use the application and do a perfect area distance measurement.
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Our measuring app has covered all mature features that should be in a GPS app. As you can also make land conversion and measurement, GPS navigation accuracy and frequency, converter to the area and land distance measurement by using the app. It can be nicely used in land area and square calculation. Recently we have added an elevation chart feature.
Area measurement is an activity that requires precise measurement. It is usually done with the use of a ruler or measuring tape. Nowadays, with the development of technology, many smart devices have become available. And this is a great convenience. But sometimes it is difficult to accurately measure the area with a smart device. This is where the GPS Fields Area Measure PRO MOD APK comes in. With its ability to read the area, you can get accurate measurements of your garden, house, yard, etc.
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GPS Fields Area Measure PRO MOD APK is equipped with many features that will allow you to use it more efficiently. With the ability to measure up to 5,000 square feet, the application has the advantage of being more accurate than other tools. The application also has the ability to measure the area in real time. This is helpful for those who are doing the measurement frequently.
MapitGIS by mapitGIS is a field data and survey collection software for anyone grappling with environmental and GIS data. The app allows you to organize data into editable layers and export data to popular GIS formats through email, Google Drive, and Skype; or, you can use an SD card. Plus, you can measure and calculate areas and distances.
GPS Fields Area Measure by Farmis is a simple area, distance, and perimeter measurement mobile app. And it does it well. The user-friendly app allows you to name, save, group, and edit measurements with GPS marking and tracking. Plus, it comes with a helpful undo button for accidental or bad measurements.
Easy to use, useful app for an area, distance and perimeter management.This tool is helping for million people to measure their fields, mark their needed points and sharing their measured maps with their colleagues.
The search option will make it easy for you to locate these times if you need them. Times will be easily stored. The quantity of data on your device is crucial so that you may export and import them, back them up, and utilize them again later. Users can share the data, which is useful for large-scale area measurements.
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When you access GPS Fields Area Measure PRO, you enter the first feature of the application, and the one that you need to pay attention to is the unit reset. Specifically, you will go to the settings section to reset the units that you often use to receive accurate parameters. You will also find a GPS feature, and you can zoom in to the area you want to determine the size you want to measure. In addition, the measurement stage has factors that you will need to pay attention to.
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Range of valuesMinimum:0.3Maximum:9.5Units:metersWho produced the data set?Who are the originators of the data set? (may include formal authors, digital compilers, and editors)VeeAnn A. Cross
Who also contributed to the data set?
To whom should users address questions about the data?VeeAnn A. CrossU.S. Geological SurveyMarine GeologistWoods Hole Coastal and Marine Science CenterWoods Hole, MA 02543-1598(508) 548-8700 x2251 (voice)(508) 457-2310 (FAX)vatnipp@usgs.gov
Why was the data set created?This point shapefile has several purposes. First, this shapefile provides the ship's XY position during the collection of continuous resistivity profile data in the Indian River Bay on April 14, 2010. Additionally, attributes in this shapefile account for extensive processing to derive acceptable depth values (not tide corrected) at each CRP data acquisition point. These depths improve the processing of the CRP data. This shapefile also acts as an archive of this dataset.How was the data set created?From what previous works were the data drawn? (source 1 of 1)Source_Contribution: The continuous resistivity profile (CRP) system used on this cruise was an AGI SuperSting marine system described at the website: www.agiusa.com/marinesystem.shtml. The particular system used for this acquisition was a 50-m streamer with an 11 electrode array with electrodes spaced 5 meters apart. The source electrodes are graphite, while the receiver electrodes are stainless steel. A dipole-dipole configuration was used for the data collection in which two fixed current electrodes are assigned with the measurement of voltage potential between electrode pairs in the remaining electrodes. The maximum depth below the water surface the streamer can reach is approximately 1/4 the streamer length. So for the 50-m streamer, maximum depth is about 12.5 meters. Each line of data acquisition records several files. The two files necessary for processing are the *.stg and the *.gps file. The STG file contains the resistivity data, while the GPS file contains the navigation information. The navigation system used in concert with the CRP system is a Lowrance LMS-480M with an LGC-2000 GPS antenna and a 200 kHz fathometer transducer. The antenna and fathometer transducer were mounted on the starboard side of the boat. The streamer tow point was on the port side aft. The layback offset between the navigation antenna and the first electrode was 17.6 meters on April 13 and 14. On April 15 the antenna and transducer were moved 1.6 m aft changing the layback offset to 16 m. This layback offset is accounted for by the acquisition system. The approximately 2 m lateral offset is not accounted for. The Lowrance transducer also contains a temperature sensor. Lowrance indicates the speed of sound used by the system is 4800 feet/second. Both the temperature and depth information are recorded in the logged GPS file. There are instances where no depth or temperature information is recorded due to an equipment problem. The CRP system images the subsurface electrical properties of an estuarine, riverine or lacustrine environment. Resistivity differences can be attributed to subsurface geology (conductive vs less conductive layers) and hydrogeologic conditions with fresh water exhibiting high resistivity and saline conditions showing low resistivity.
How were the data generated, processed, and modified?Date: Mar-2010 (process 1 of 14)The data were transferred from the logging computer via AGISSAdmin software version 1.3.2.165. These files were then transferred via email to the processing computer. The files included in this publication are the *.crs, *.cmd, *.gps, and *.stg. The two files essential for processing are the GPS and STG files. The GPS file contains the navigation, and in the case of the Lowrance system also includes water depth and temperature. The STG file contains the resistivity measurements from each of the electrodes. The CRS file contains the contact resistance readings. The CMD file contains the parameters for data collection. These last two files aren't necessary for data processing, but can be useful in terms of troubleshooting. This process step, along with all subsequent process steps, was performed by the same person: VeeAnn A. Cross.Person who carried out this activity:VeeAnn A. CrossU.S. Geological SurveyMarine GeologistWoods Hole Coastal and Marine Science CenterWoods Hole, MA 02543-1598(508) 548-8700 x2251 (voice)(508) 457-2310 (FAX)vatnipp@usgs.govDate: Apr-2010 (process 2 of 14)An AWK script was used to extract the navigation, bathymetry, and temperature information recorded in each individual GPS data file for each day of data acquisition. AWK script "awkhold":BEGIN FS = ","FS = ","ARGC = 2depth = -9999temp = -9999if ($1=="$GPRMC")utctime = $2utcdate = $10latdeg = substr($4,1,2)latmin = substr($4,3,6)declat = latdeg + (latmin/60)londeg = substr($6,1,3)lonmin = substr($6,4,6)declon = -1 * (londeg + (lonmin/60))if (NR==1) holddepth = -9999holdtemp = -9999else printf("%s, %s, %9.6f, %9.6f, %5.1f, %5.1f, %s\n", holdutctime, holdutcdate, holddeclon, holddeclat, holddepth, holdtemp, ARGV[2])holdutctime = utctimeholdutcdate = utcdateholddeclon = declonholddeclat = declatholddepth = -9999holdtemp = -9999if ($1=="$SDDPT")depthreal = $2holddepth = depthrealif ($1=="$SDMTW")tempreal = $2holdtemp = temprealEND printf("%s, %s, %9.6f, %9.6f, %5.1f, %5.1f, %s\n", holdutctime, holdutcdate, holddeclon, holddeclat, holddepth, holdtemp, ARGV[2])This AWK script was initialized by "dohold" - shell script run under CYGWIN (UNIX like environment that runs under Windows). This shell script reads all the files in a folder with the extension "gps" and processes them. This is the script used for the April 14 data collection:files=`ls *.gps cut -d. -f1 tr "[A-Z"] ["a-z"]`for file in $filesdoawk -f awkhold $file.gps $file > $file.holdsdoneData sources used in this process:*.gpsData sources produced in this process:*.holdsDate: Apr-2010 (process 3 of 14)Each of the resulting *.holds files were concatenated together using a shell script running under Cygwin. The shell script is as follows:cat l6f1_mod.holds \l6f2.holds \l6f3.holds \l6f4.holds \l6f5.holds \l6f7_mod.holds \l6f9.holds \l6f10.holds \l6f11.holds \l6f12.holds \l7f1.holds \l7f7_mod.holds \l7f10.holds \l7f12.holds \l7f13.holds \l7f14.holds \l7f17.holds \l7f18.holds \f7l19.holds \l8f1.holds \l9f1.holds \l9f3.holds \l10f1.holds \l11f1.holds \l11f2.holds \l12f1.holds \l13f1.holds \l14f1.holds \l15f1.holds \l16f1.holds \l17f1.holds \l18f1.holds \l19f1.holds \l19f2.holds \l19f3.holds > jd104gps_mod.csvThe files with "mod" in the filename have had the original GPS files edited to remove obviously bad points.Data sources used in this process:*.holdsData sources produced in this process:jd104gps_mod.csvDate: Apr-2010 (process 4 of 14)The text editor VI was used under Cygwin to add the following header line to the text file:gpstime, gpsdate, longitude, latitude, depth_m, temp_c, lineThis text file was then imported to ArcMap 9.2 using Tools - AddXY Data. The X field is longitude; Y field is latitude, and the coordinate system was defined as Geographic, WGs84. This "Event Theme" was converted to a shapefile by right-mouse clicking on the layer - Data - Export Data.Data sources used in this process:jd104gps_mod.csvData sources produced in this process:jd104gps_mod.shpDate: Apr-2010 (process 5 of 14)Using ArcMap 9.2 - ArcToolbox - Projections and Transformations - Feature - Project, project the shapefile from Geographic, WGS84 to UTM, Zone 18, WGS84. Parameters: input - jd104gps_mod.shp; input coordinate system - GCS_WGS_1984 (default, read from file); output - jd104gps_mod_utm18.shp; output coordinate system - WGS_1984_UTM_Zone_18N. No transformation necessary.Data sources used in this process:jd104gps_mod.shpData sources produced in this process:jd104gps_mod_utm18.shpDate: Apr-2010 (process 6 of 14)With the jd104hypack.shp (available from ) loaded in ArcMap 9.2, set a definition query on the shapefile where depth_m -9999. Then with jd104gps_mod_utm18.shp the active shapefile in the table of contents do a join on jd104gps_mod_utm18.shp: Join data based on spatial location; join layer - jd104hypack. Select the option to give all the attributes of the joined shapefile, along with a distance field. Output to a new file: jd104gps_mod_spatjoin.shp. The distances reported are in the units of the data layer initiating the join - hence the reason for projecting the CRP navigation shapefile to UTM, Zone 18. Units of meters are much easier to make sense of than decimal degrees distances.Data sources used in this process:jd104gps_mod_utm18.shpData sources produced in this process:jd104gps_mod_spatjoin.shpDate: Apr-2010 (process 7 of 14)The join function changes the order of the records in the original starting shapefile (jd104gps_mod_utm18.shp). So to put the records back in the order of time, the shapefile needs to be sorted by the FID_1 attribute. Resorting the shapefile was accomplished with an extension written by VeeAnn Cross in Woods Hole, MA - VAC Extras v. 2.1. Using VAC Extras - FeatConv - Table Sort, jd104gps_mod_spatjoin.shp was sorted with the primary sort field FID_1 in ascending order, no secondary field chosen, and the output sent to jd104gps_mod_spatjoin_sort.shp.Data sources used in this process:jd104gps_mod_spatjoin.shpData sources produced in this process:jd104gps_mod_spatjoin_sort.shpDate: Apr-2010 (process 8 of 14)Several additional attributes were added to the shapefile: timediff, fixdepth. Because these depths are not tide corrected, not only do I need to replace the missing CRP depths with values that are close in proximity, but have to be cognizant of the time offset. And although the gpstime and gpstime_1 are in the format HHMMSS, subtracting these values still has some benefit. First, set a definition query on jd104gps_mod_spatjoin_sort.shp to only display the records with depth_m = -9999. Then use the field calculator to calculate gpstime - gpstime_1. For the new fixdepth attribute, select all records where depth_m -9999, then use field calculator to set fixdepth = depth_m. Basically, this is just bringing over the good depths. To work on the rest of the depths used a query to select all records where ("timediff" -60) AND "Distance" jd104gps_mod_spatjoin_sort.shpData sources produced in this process:jd104gps_mod_spatjoin_sort.shpDate: May-2010 (process 9 of 14)Using a bathymetry surface (of all positive values) generated from tide corrected bathymetry points (see irb_bathy to understand processing available at ), use VACExtras v 2.1 to extract the bathymetry values at each point location and place in the new attribute hyptidecor. However, the extracted depths are tide corrected, and what are needed in this case is the uncorrected bathymetric values - so the tide information needs to be added back into these values. Within ArcMap 9.2, also add the attribute jday to place the Julian day (104).Data sources used in this process:jd104gps_mod_spatjoin_sort.shpData sources produced in this process:jd104gps_mod_spatjoin_sort.shpDate: May-2010 (process 10 of 14)Then use XTools Pro 5.2 to export the shapefile to a text file. Export jd104gps_mod_spatjoin_sort to jd104gps_mod_spatjoin_sort_exp.txt with the exported fields of gpstime; longitude; latitude; hyptidecor; jday.Data sources used in this process:jd104gps_mod_spatjoin_sort.shpData sources produced in this process:jd104gps_mod_spatjoin_sort_exp.txtDate: May-2010 (process 11 of 14)Run the files through an AWK script to reformat for loading into MATLAB to extract tide information. The tidal correction procedure is described in detail in irb_bathy (available at ). In this case, because the tides are being added back in, the MATLAB code is modified slightly so instead of:h_corrected_ir=htrack-tidetrack_ir;h_corrected_rd=htrack-tidetrack_rd;use:h_corrected_ir=htrack+tidetrack_ir;h_corrected_rd=htrack+tidetrack_rd;Data sources used in this process:jd104gps_mod_spatjoin_sort_exp.txtData sources produced in this process:bathy.datDate: May-2010 (process 12 of 14)Proceed with converting the results to a shapefile and using the weighted distance calculations described in irb_bathy (available at ) to ADD the tide information back into the depth values. Now in the jd104gps_mod_spatjoin_sort.shp, add the attribute "addedtide" as double. Since the spatial locations are the same, a spatial join is not necessary, and the shapefiles can be joined record for record based on the FID attribute. Once joined, copy the value from the "tideadded" attribute to the newly created "addedtide" attribute. Then removed the join.Data sources used in this process:jd104gps_mod_spatjoin_sort.shpData sources produced in this process:jd104gps_mod_spatjoin_sort.shpDate: May-2010 (process 13 of 14)In order to select the best depth value for every CRP location, it's a combination of already valid values, valid values based on temporal and spatial offset, and values derived by adding tides back to a tidally corrected surface. For this reason, in ArcMap 9.2 a new attribute was added called "bestdepth" as type double to the shapefile jd104gps_mod_spatjoin_sort.shp. First priority is to use actual values, then fill in voids with derived values. Did a query where depth_m -9999 and then copied those values to bestdepth. Then did a query:("timediff" = -10) AND "timediff" 0. The "timediff" 0 was necessary because where timediff = 0 is where I have valid original CRP depths. The timediff attribute is the result of gpstime - gpstime_1 where gpstime_1 is the HYPACK navigation time. Copy these selected records over to bestdepth from depth_m_1. A value of 10 was chosen because the boat was travelling around 4 knots (2m/sec). That means a value of 10 represents points within 20 meters of the actual navigation reading. That seems reasonably conservative. What this leaves is some within 10 seconds, but that go around the minute mark. For example, if the gpstime is 130355 and the gpstime_1 is 130404, then the timediff is displayed as -49. But in reality, it's only 9 seconds - all an issue with how time is recorded as an attribute. Additional queries were run to accommodate this time oddity.Query:"timediff" = -50These are all within 10 seconds, so set bestdepth = depth_m_1.Likewise, the opposite situation needed to be handled such as gpstime = 131601 and gpstime_1 = 131554.Query:"timediff" >= 41 AND "timediff" =-4050 AND "timediff" 2ff7e9595c
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