'National land cover database' diaporamas de présentation

Geographic Information Systems

Geographic Information Systems. Other Digital Data. 1. Digital Line Graph. Base cartographic data, distributed by USGS. Map created from USGS DLG culture data showing contours, roads, section lines, lakes and streams. http://spatialnews.geocomm.com/whitepapers/usgs_dlg.pdf.

547 views • 43 slides

Effective Refuge Design in the Face of Uncertainty

Sarah McCabe GEOG 895A April 2014 Penn State Advisor: Joe Bishop. Effective Refuge Design in the Face of Uncertainty. Topic : Migrating Songbirds Place: Texas Gulf Coast Project Question: Finding the best areas for a Refuge Identify the Criteria Identify Data

468 views • 35 slides

Multispectral and Hyperspectral Imaging for Land Cover and Habitat Mapping

495 views • 33 slides

Effects of Urbanization on the Onion Creek Watershed

481 views • 26 slides

Viewshed Creation: From Digital Terrain Model to Digital Surface Model

Edward Ashton. Viewshed Creation: From Digital Terrain Model to Digital Surface Model. History of Viewsheds. What is a viewshed Historical uses Military . Common uses. Modern uses of viewsheds Homeland security Military Commercial Land Use Planning. Problem.

539 views • 26 slides

422 views • 22 slides

National Land Cover Database (NLCD 2001)

National Land Cover Database (NLCD 2001). Jan 30, 07. 3 products. Landcover Impervious surface Forest canopy. NLCD Landcover. NLCD Landcover. NASS 2001. NLCD Landcover. NASS 2001. NLCD Landcover. NLCD Forest Canopy. NLCD Impervious Surface. NLCD Impervious Surface. NLCD

307 views • 18 slides

Shawn Newsam Associate Professor and Founding Faculty Electrical Engineering & Computer Science

Social Multimedia as Volunteered Geographic Information: Crowdsourcing What-Is-Where Through Proximate Sensing. Shawn Newsam Associate Professor and Founding Faculty Electrical Engineering & Computer Science University of California at Merced California Geographic Information Association

220 views • 12 slides

The utility of spatially explicit variables in watershed scale phosphorus water quality modeling

The utility of spatially explicit variables in watershed scale phosphorus water quality modeling. Mark Breunig GEOG 681. What?. The utility of spatially explicit variables in watershed scale phosphorus water quality modeling. Why?.

220 views • 12 slides