Пропустить навигацию.
Главная
Ученье - свет...

География

warning: Creating default object from empty value in /home/landv0/public_html/landviser.net/sites/all/modules/i18n/i18ntaxonomy/i18ntaxonomy.pages.inc on line 34.

Extracting Geographical Lat-Long data from Google Earth KML / KMZ files to Excel

If you have some data in table format with IDs for fields or point locations on the map and Google Earth KML file with those fields having same IDs, it is generally possible to bring spatial information to Excel and merge those data sources together to use in further spatial analysis in other GIS software and in newly released FREE ESRI Maps for MS Office Beta 2. There are a few little tricks to it, though…

Google Earth KML files are essentially XML files with geographical information, but Excel will not open them directly.

image

Adding Lat-Long for the centroids of USA counties in a new point shapefile (ArcMap 10)

Software: ArcGIS - ArcEditor 9.2, 9.3, 9.3.1, 10 ArcGIS - ArcInfo 9.2, 9.3, 9.3.1, 10 ArcGIS - ArcView 9.2, 9.3, 9.3.1, 10 ArcGIS for Desktop Advanced 10.1 ArcGIS for Desktop Standard 10.1

USA counties center pointsThis is documented step-by-step and hands-on exercise on how to create XY point shapefile for the centers of USA counties (with linked basic demography and FIPS) in ArcMap 10.1. You don’t need to follow those steps (and if you don’t have ArcGIS for Desktop, you cannot) and may just grab the resulted layer file in various formats at the end of this post. Formats available are MS Excel table, CSV table with XY, zipped SHP file package, and KMZ file.

This layer is not directly shareable on ArcGIS Online, as it has more than 1000 features (3143, to be exact), we may post it there later as partial files…

If you need help with your GIS project, please, do not hesitate to contact Landviser, LLC - post comment, email info@landviser.com, or call 609-412-0555. Current complete catalog of Landviser LLC

DIY: Setup Zotero - free open source publication and citation manager

Zotero [zoh-TAIR-oh] is a free, easy-to-use tool to help you collect, organize, cite, and share your research sources. It lives right where you do your research — in the web browser itself. You can use it to quickly grab and re-use citation from our public library “Soil Electrical Geophysics”.

Collect

Organize

Cite

Sync

Collaborate

A personal research assistant!

Zotero is the only research tool that automatically senses content, allowing you to add it to your personal library with a single click. Whether you're searching for a preprint on arXiv.org, a journal article from JSTOR, a news story from the New York Times, or a book from university’s or public library catalog, Zotero has you covered with support for thousands of sites.

  • Grab your research with a single click.
  • Store it privately or share with collaborators.
  • Select multiple sources and insert formatted reference list in your paper/report while writing it (MS Word plugin).
  • Store anything:

Zotero collects all your research in a single, searchable interface. You can add PDFs, images, audio and video files, snapshots of web pages, and really anything else. Zotero automatically indexes the full-text content of your library, enabling you to find exactly what you're looking for with just a few keystrokes.

Soil Electrical Geophysics - public library @Zotero

Landviser maintains public library of publications related to "Soil Electrical Geophysics" on Zotero servers. You can view and browse that library below. PDFs of publications in public domain are attached to the respective listings in the library and are stored on this website. For most publications registration on Zotero or our website is not required, although we are strongly encourage you to register to gain access to all materials, receive timely updates and easily manage your own research library.

Using LandMapper to Monitor Soil Salinity and Mitigate Its Effects on Rice Production at US Gulf Coast

Landmapper - Portable and Scalable EC meterMost of the soils along US Gulf Coast are naturally slightly saline and some are waterlogged during much of the growing season. Naturally, those areas are used for rice production rotated with cattle grazing or hay growing. Soil salinity of those areas varies spatially and temporarily due to drought, hurricane-pushed sea water surges, micro-elevation within fields, variability of salinity levels in irrigation water. Monitoring soil and water salinity with conventional techniques of collecting soil samples by farmer and sending them to outside lab is costly and time-consuming. Such approach fails to provide timely advice to the farmer regarding crop selection pre-planting and mitigation inputs during the growing season. Several rice farms affected by Katrina and Ike hurricanes were monitored in 2006-2011 utilizing field soil EC meter, LandMapper ERM-02, consumer-grade GPS, and other common equipment available to a farmer. On six test fields EC values were recorded with LandMapper directly in the field at 30 locations in less than 45 min.

Cite this presentation:

Golovko, Larisa, and Anatoly Pozdnyakov. “Using LandMapper to Monitor Soil Salinity and Mitigate Its Effects on Rice Production at US Gulf Coast.” In Making Waves: Geophysical Innovations for a Thirsty World. Tucson  AZ: Environmental and Engineering Geophysical Society, 2012. http://www.landviser.net/webfm_send/94.SAGEEP 25 - 2012 - Tucson, AZ

Registered users can download full proceeding paper: 
 

Using LandMapper to Monitor Soil Salinity and Mitigate Its Effects on Rice Production at US Gulf Coast

Locations

Winnie, TX 29° 49' 12.7956" N, 94° 23' 2.6808" W
SAGEEP 2012 Tucson, AZ 32° 13' 18.2748" N, 110° 55' 35.3244" W

Mapping Alluvial Soils of Humid Areas with Electrical Geophysical Methods

Valley soils of humid areas are comprised of various peat and sandy soils of alluvial or lacustrine origins. These soils are located in subordinated positions in a landscape and accumulated high amounts of organic matter and mineral nutrients. Fluctuation of the river bed in space often causes highly complex soil cover in a valley. Studying those soils with conventional methods of soil mapping is very time and resource consuming. Therefore, we tested the electrical geophysical methods of non-contact electrical profiling (NEP) and electrical profiling (EP) for mapping peat and mineral alluvial soils formed in the glacial valley of Yachroma river.

The distinction in botanical structure of peat and hydrology conditions at the different zones of the valley causes distinction in physical and chemical properties of sedge-mossy, grass-woody, and mineral-peat layered soils (Figure).  The sedge-mossy peat typically has lower ash content and bulk density, and higher water content, than the grass-woody peat. Electrical resistivity of sedge-mossy peat soil is minimal (<20 ohm m) in comparison with resistivity of grass-woody (30-40 ohm m) and mineral-peat layered soils (50-60 ohm m).

Местоположение

CPBRS Горшково, MOS 56° 22' 30.2448" N, 37° 25' 8.724" E

Downloads, FAQ, eLibrary

Sign up to our site to gain access to downloads:

While we striving to provide you with the best FREE information on  soil science, electrical geophysics, geostatistics, GIS, remote sensing as well as on web design, internet marketing and ecommerce; we are required by law to maintain database of people obtained this information through us, especially for copyrighted material including peer-reviewed articles from scientific journals (see References).

Please, signup or login and you will instantly get a email with an account confirmation and the SUPPORT/Downloads link will became live and bring you to the vast download directory of Landviser, LLC including DEMO, freeware, and shareware of popular geophysical, geostatistical, fractal, GIS, and web-mastering software and templates. Also, as a registered user you will be able to post comments and communicate with Landviser's R&D team and other scientists around the globe striving to "enlighten their research".

How-to use LandMapper and consumer-grade GPS data-logger to quickly map salinity on farm fields

GPS waypoints in Google EarthTask on hand: estimate salinity level on fields planned for rice next year. Six fields with total area of 322 acres were selected by farmer.

Equipment on hand: two LandMappers with different size probes attached (measuring electrical conductivity (EC) down to ~ 8” and 18”), Columbus GPS data-logger, all-road vehicle or “Mule”. Three people: farmer driving a '”mule” and recording data on paper, one person measuring with Landmapper at 18” depth, other person measuring EC with LandMapper to 8” depth and recording POI or way points with GPS. Results: 30 points recorded in less than 1.5 hour (including about 45 min break to wait out the rain). EC in the field varied from 5 mS/m to 106 mS/m on surface; and from 19 mS/m to 400 mS/m in deeper layer.

Местоположение

Farm Winnie, TX 29° 36' 14.6448" N, 94° 21' 7.0524" W
Ленты новостей