Forest Sciences Commons^™

Remote Sensing In Mapping Biodiversity – A Case Study Of Epiphytic Lichen Communities, Ida Palmroos, Veera Norros, Sarita Keski-Saari, Janne Mäyrä, Topi Tanhuanpää, Sonja Kivinen, Juha Pykälä, Peter Kullberg, Timo Kumpula, Petteri Vihervaara

Aspen Bibliography

In boreal forests, European aspen (Populus tremula L.) is a keystone species that hosts a variety of accompanying species including epiphytic lichens. Forest management actions have led to a decrease in aspen abundance and subsequent loss of suitable habitats of epiphytic lichens. In this study, we evaluate the environmental responses of epiphytic lichen species richness and community composition on aspen, focusing on the potential of remote sensing by combined hyperspectral imaging and airborne laser scanning to identify suitable habitats for epiphytic lichens. We measured different substrate and habitat parameters in the field (e.g., aspen diameter and bark pH) …

Identifying Conifer Tree Vs. Deciduous Shrub And Tree Regeneration Trajectories In A Space-For-Time Boreal Peatland Fire Chronosequence Using Multispectral Lidar, Humaira Enayetullah, Laura Chasmer, Christopher Hopkinson, Dan Thompson, Danielle Cobbaert

Aspen Bibliography

Wildland fires and anthropogenic disturbances can cause changes in vegetation species composition and structure in boreal peatlands. These could potentially alter regeneration trajectories following severe fire or through cumulative impacts of climate-mediated drying, fire, and/or anthropogenic disturbance. We used lidar-derived point cloud metrics, and site-specific locational attributes to assess trajectories of post-disturbance vegetation regeneration in boreal peatlands south of Fort McMurray, Alberta, Canada using a space-for-time-chronosequence. The objectives were to (a) develop methods to identify conifer trees vs. deciduous shrubs and trees using multi-spectral lidar data, (b) quantify the proportional coverage of shrubs and trees to determine environmental conditions driving …

Improved Boreal Forest Wildfire Fuel Type Mapping In Interior Alaska Using Aviris-Ng Hyperspectral Data, Christopher William Smith, Santosh K. Panda, Uma Suren Bhatt, Franz J. Meyer

Aspen Bibliography

In Alaska the current wildfire fuel map products were generated from low spatial (30 m) and spectral resolution (11 bands) Landsat 8 satellite imagery which resulted in map products that not only lack the granularity but also have insufficient accuracy to be effective in fire and fuel management at a local scale. In this study we used higher spatial and spectral resolution AVIRIS-NG hyperspectral data (acquired as part of the NASA ABoVE project campaign) to generate boreal forest vegetation and fire fuel maps. Based on our field plot data, random forest classified images derived from 304 AVIRIS-NG bands at Viereck …

Analysis Of Designs Used In Monitoring Crop Growth Based On Remote Sensing Methods, Cristina Teodora Dobrota, Rahela Carpa, Anca Butiuc-Keul

Turkish Journal of Agriculture and Forestry

Choosing appropriate designs and methods for monitoring crop growth is a challenging process of major importance. Remote sensing from space and manned or unmanned airborne operations are used to measure crop reflectance and a wide variety of other agricultural parameters. While some experiments use only a few, specific methods and designs and organize the results in lists of evidence, other experiments use a wider range of techniques to create a more credible and comprehensive assessment of crop yield. Particular situations related to the available resources in terms of data collection and expertise in addition to the intended use of the …

Extreme Fire As A Management Tool To Combat Regime Shifts In The Range Of The Endangered American Burying Beetle, Alison K. Ludwig, Daniel R. Uden, Dirac Twidwell

Department of Agronomy and Horticulture: Dissertations, Theses, and Student Research

This study is focused on the population of federally-endangered American burying beetles in south-central Nebraska. It is focused on changes in land cover over time and at several levels of spatial scale, and how management efforts are impacting both the beetle and a changing landscape. Our findings are applicable to a large portion of the Great Plains, which is undergoing the same shift from grassland to woodland, and to areas where the beetle is still found.

Remote Sensing Of Ploidy Level In Quaking Aspen (Populus Tremuloides Michx.), Benjamin Blonder, Bente J. Graae, Burke Greer, Marja Haagsma, Kenny Helsen, Rozália E. Kapás, Henry Pai, Jolanta Rieksta, Dillon Sapena, Christopher J. Still, Richard Strimbeck

Aspen Bibliography

1. Ploidy level in plants may influence ecological functioning, demography and response to climate change. However, measuring ploidy level typically requires intensive cell or molecular methods.
2. We map ploidy level variation in quaking aspen, a dominant North American tree species that can be diploid or triploid and that grows in spatially extensive clones. We identify the predictors and spatial scale of ploidy level variation using a combination of genetic and ground‐based and airborne remote sensing methods.
3. We show that ground‐based leaf spectra and airborne canopy spectra can both classify aspen by ploidy level with a precision‐recall harmonic mean of 0.75–0.95 and …

Modeling The Response Of Black Walnut -Dominant Mixed Hardwoods To Seasonal Climate Effects With Uav-Based Hyperspectral Sensor And Aerial Photogrammetry, Tyler G. Bradford

MSU Graduate Theses

The development of compact sensors in recent years has inspired the use of UAS-based hyperspectral and aerial imaging techniques for small-scale remote sensing applications. With increasing concerns about climate change, spectrally-derived vegetation indices (VIs) have proven useful for quantifying stress-induced vegetation response. The goal of this study was to develop predictive models and assess methodology for modeling the biological response of a black walnut -dominant mixed hardwood stand to seasonal climate events using UAV-based hyperspectral remote-sensing. The derived VIs were evaluated against the means of four seasonal measures of climate calculated for a two-week period prior to the flight date. …

Determination Of Irrigation Performance Of Water User Associations In The Vicinity Of Sarıgöl And Alaşehir Using Remote Sensing Techniques, Beki̇r Sitki Karataş, Erhan Akkuzu, Musa Avci

Turkish Journal of Agriculture and Forestry

The aim of this research was to determine the irrigation performance of Sarıgöl, Bağ, and Üzüm Water User Associations (WUAs) in the vicinity of Sarıgöl and Alaşehir using remote sensing techniques. For this purpose, the performance of the irrigation system for the 2004 irrigation season (May to September) was determined according to 5 indicators, namely overall consumed ratio (ep), relative water supply (RWS), depleted fraction (DF), crop water deficit (CWD), and relative evapotranspiration (RET). Potential and actual evapotranspiration parameters used in determining these indicators were estimated according to the SEBAL (Surface Energy Balance) method using NOAA-16/AVHRR images. Seasonal averages of …

Mapping Secondary Forest Succession With Geographic Information Systems: A Case Study From Bulanıkdere, Kırklareli, Turkey, Günay Çakir, Fati̇h Si̇vri̇kaya, Sali̇h Terzi̇oğlu, Emi̇n Zeki̇ Başkent, Turan Sönmez, Haci Ahmet Yolasiğmaz

Turkish Journal of Agriculture and Forestry

Developing forest management plans for sustaining the full range of forest values is a challenging task. One of the difficulties in this process is to set and achieve management objectives, and conservation targets. A sustainable forest management concept requires that a target forest structure (the composition and the configuration) be set before developing alternative management actions for the achievement of management objectives and the conservation targets. In this respect, developing and understanding vegetation succession play important roles in setting the target forest conditions. This study was conducted in the Bulanıkdere Forest planning unit (Kırklareli, Turkey) where the biodiversity-integrated multiple-use forest …

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

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 …

Using Advanced Spectral Analyses Techniques As Possible Means Of Identifying Clay Minerals, Ünal Altinbaş, Yusuf Kurucu, Mustafa Bolca, A. H. El-Nahry

Turkish Journal of Agriculture and Forestry

Spectral analyses, one of the most advanced remote sensing techniques, were used as a possible means of identifying the mineralogy of the clay fractions that corresponded to the Küçük Menderes Plain, south of İzmir, Turkey. Different spectral processes were used to execute the prospective spectral analyses. The processes include: i. the reflectance calibration of TM images belonging to the studied area, ii. using minimum noise fraction (MNF) transformation and iii. creating the pixel purity index (PPI), which was used to the most "spectrally pure", extreme, pixel in multi-spectral images. Spectral analyses of the clay mineralogy of the studied area were …

A Remote Sensing Approach For Detecting Agricultural Encroachment On The Eastern Mediterranean Coastal Dunes Of Turkey, Süha Berberoğlu, Hakan Alphan, Kemal Tuluhan Yilmaz

Turkish Journal of Agriculture and Forestry

The aim of this study was to develop an effective procedure for detecting land use/land cover (LU/LC) changes resulting from agricultural encroachment on eastern Mediterranean coastal dunes by using remote-sensing techniques. Historic LU/LC information was extracted from aerial photos taken in 1976 and IKONOS imagery was acquired in 2002 to determine the current LU/LC pattern. The remotely sensed aerial and satellite data were classified by integrating spectral information with measures of texture, in the form of statistics derived from the variance, co-occurrence matrix and variogram. The performance of these classification approaches was evaluated in terms of error matrices. The accuracy …

Soil Erosion Risk Assessment With Icona Model; Case Study: Beypazarı Area, İlhami̇ Bayrami̇n, Orhan Dengi̇z, Oğuz Başkan, Mehmet Parlak

Turkish Journal of Agriculture and Forestry

In this research, the applicability of geographic information system (GIS) and remote sensing (RS) techniques was tested to assess soil erosion risk with the ICONA erosion model. This study was carried out in the Ankara-Beypazarı area because of its variety of diverse landforms, land uses and land covers. The erosion risk assessment phase of this model consists of seven steps that mainly use slope, geology, land use and land cover information. A potential erosion risk map (step 3) was obtained from the slope (step 1) and lithofacies layers (step 2) generated using a digital elevation model (DEM) and digital geological …