Full text: Proceedings, XXth congress (Part 7)

n 
al 
d 
Cc 
International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XXXV , Part B7. Istanbul 2004 
  
examining tree densities in images collected over 51 years. In 
this study, no time-trend was observed, suggesting that if it is 
occurring at all, desertification is slower than previously 
thought in the Sahel. A range of ecological problems become 
tractable with the possibility of locating ad identifying 
individual trees by remote sensing. At one end of the 
spectrum is the detection of rare individuals, genotypes, or 
species and at the opposite end of the spectrum is the 
location and identification of individual trees of a common 
species in a diverse community of similar species. A forester 
may have a particular interest in detecting the presence of rare 
survivors of a disease or insect pest outbreak in order to find 
resistant individuals. For example, many field ecologists have 
observed occasional large American chestnut individuals that 
have reached reproductive size and age despite exposure to 
ubiquitous chestnut blight. It may be that 99 percent of such 
cases can be due to chance escape from the blight, but 1 
percent can be due to genetically-based resistance. Detection 
of a large enough sample of reproductive chestnuts to 
perform genetic screening could be impossible without an 
extensive search procedure such as that provided by remote 
sensing. 
The identification of species resisting to different stress 
conditions has direct forestry and agriculture applications. 
The ability to identify vegetation at the species level using 
hyperspectral data has been difficult because of lack of 
information on vegetation characteristics and biochemical 
characterization of vegetation at canopy level (Martin and 
Aber, 1997). 
There have been many studies comparing spaceborne and 
airborne multispectral ^ imagery. However, similar 
comparisons could not be done for hyperspectral sensors 
until the successful lunch of the Hyperion sensor. 
The main objective of this study was to compare 
hyperspectral remotely sensed data collected by the 
Hyperion satellite, and the airborne Real-time Data 
Acquisition Camera System (RDACS-3) and the Airborne 
Visible/Infrared Imaging Spectrometer (AVIRIS) for 
environmental mapping and vegetation species identification. 
2. STUDY AREA 
The study area is located in the Land-Between-the Lakes 
(LBL) (Figure 1) National Recreation Area, which was 
designated in 1991 as an International Biosphere Reserve 
under the Man and Biosphere Programme of the United 
Nations Education, Scientific and Cultural Organization 
(UNESCO). In addition to LBL, the Reserve includes 17 
surrounding counties in Kentucky and Tennessee as the area 
influenced economically, socially and environmentally by the 
management of LBL. One of the main purposes of the 
Biosphere Reserve Programme is to "involve industry, 
government, social agencies, schools, and special interest 
groups in management of the Reserve" and to encourage 
cooperation in studying and solving regional problems. The 
1307 
draft Environmental Impact Statement for LBL identified 
more than 20,000 acres to be designated as core areas in the 
preferred management alternative. The remainder of the 
170,000 acres of LBL serves as the buffer zone with the 17- 
county area is the transition zone. Many research studies 
concerning LBL and Kentucky Lake have been conducted at 
Murray State University in the last 30 years; some of which 
provided useful information for this research. 
LBL is approximately 90 percent forested, which makes it 
one of the largest contiguous blocks of forested land east of 
the Mississippi River in the US. Ferguson Spring/Energy 
Lake site has been selected as a research site because of its 
diverse ecology including wetland and bottom land/upland 
forest. The dominant forest species are oak and hickory. 
Oak and hickory trees requiring large amounts of sunlight 
when they are seedlings have been the dominant overstory 
tree species in LBL. Forest composition of LBL would shift 
toward maple and beech trees, which prefer shade if it is left 
completely unmanaged. Maple trees do not produce nuts 
that wildlife can feed on maple seeds are small and winged. 
This would negatively impact many different wildlife species, 
including deer, squirrel, songbirds, and wild turkey, which for 
thousands of years have fed on the acorns and nuts of 
oak/hickory forest of LBL. Table | summarizes some of the 
overstory species found in LBL. 
  
  
AUTRES diva s 
  
  
  
Figure 1. Location map of the study area and the datasets 
The Center for Reservoir Research (CRR) was established in 
1987 by the Kentucky Council on Higher Education as a 
Center of Excellence for Teaching and Research. CRR 
research has been focused mainly on Kentucky Lake water 
monitoring and the Kentucky Lake GIS (KLGIS). One of the 
principal programs of CRR is the Kentucky Lake Long Term 
Monitoring Program (begun in July, 1988), which 
encompasses 17 primary monitoring sites on the lower 30 km 
of the lake. The KLGIS database providing a better 
evaluation of the forest and wetlands in the area include 
bathymetry, cultural features, geology, groundwater, 
hydrography, soils, terrain, water quality and wetland data 
for the Kentucky Lake drainage basin. 
  
 
	        
Waiting...

Note to user

Dear user,

In response to current developments in the web technology used by the Goobi viewer, the software no longer supports your browser.

Please use one of the following browsers to display this page correctly.

Thank you.