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Articles 1 - 4 of 4
Full-Text Articles in Life Sciences
Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung
Accuracy Assessment Of Land Cover Maps Derived From Multiple Data Sources, Daniel Unger, Hillary Tribby, Hans Michael Williams, I-Kuai Hung
Faculty Publications
Maximum Likelihood (ML) and Artificial Neural Network (ANN) supervised classification methods were used to demarcate land cover types within IKONOS and Landsat ETM+ imagery. Three additional data sources were integrated into the classification process: Canopy Height Model (CHM), Digital Terrain Model (DTM) and Thermal data. Both the CHM and DTM were derived from multiple return small footprint LIDAR. Forty maps were created and assessed for overall map accuracy, user's accuracy, producer's accuracy, kappa statistic and Z statistic using classification schemes from U.S.G.S. 1976 levels 1 and 2 and T.G.l.C. 1999 levels 2 and 4. Results for overall accuracy of land …
Accuracy Assessment Of Classified Maps Derived From High And Midspatial Resolution Multispectral Data, Daniel Unger, Sean O'Melveny
Accuracy Assessment Of Classified Maps Derived From High And Midspatial Resolution Multispectral Data, Daniel Unger, Sean O'Melveny
Faculty Presentations
No abstract provided.
Spectral Sensing Of Aphid (Hemiptera: Aphididae) Density Using Field Spectrometry And Radiometry, Mustafa Mi̇ri̇k, Gerald J. Michels
Spectral Sensing Of Aphid (Hemiptera: Aphididae) Density Using Field Spectrometry And Radiometry, Mustafa Mi̇ri̇k, Gerald J. Michels
Turkish Journal of Agriculture and Forestry
The greenbug, Schizaphis graminum (Rondani), and bird cherry-oat aphid, Rhopalosiphum padi L., are aphid pests of wheat (Triticum aestivum L.), barley (Hordeum vulgare L.), sorghum (Sorghum bicolor L.), oat (Avena sativa L.), and other cereals worldwide. Greenbug and bird cherry-oat aphid infestation in crops is unpredictable over space and time. From these 2 aphids, greenbug infestation causes significant reduction in yield, and consequently large amounts of insecticides are used to control greenbug populations. Therefore, a repeatable and rapid method is necessary for monitoring aphid populations. Remote sensing appears promising for the monitoring of aphid density in crops. The present research …
Use Of Remote Sensing And Geographic Information System Technologies For Developing Greenhouse Databases, Namik Kemal Sönmez, Mustafa Sari
Use Of Remote Sensing And Geographic Information System Technologies For Developing Greenhouse Databases, Namik Kemal Sönmez, Mustafa Sari
Turkish Journal of Agriculture and Forestry
This model study was conducted in Antalya region greenhouses for the determination and registration of agricultural resources as a part of adjustment efforts for the European Union (EU) Common Agricultural Policy (CAP). The aim was to create new database systems based on remote sensing (RS) and geographic information systems (GIS), rather than conventional land measurement techniques. For this purpose, glass and plastic greenhouses were determined by visual data analysis of satellite image, and databases were created for each greenhouse by GIS. These databases included area, coordinates and other characteristics of each greenhouse. These databases were prepared in a format that …