Monitoring Northeastern United States Forest Condition Using Landsat Data
نویسنده
چکیده
The broad overviews obtained with Landsat data can provide information concerning the location, types, and magnitudes of forest changes not easily obtainable by other means. One of the main goals of the current study is to provide spatial information regarding the more subtle forms of forest change rather than those primarily related to land cover conversion. A forest-dominated area in northern Vermont was selected as the principal study area for this investigation. This region was the site of extensive field and remote sensing investigations of forest decline in the 1980s, when it was discovered that forest decline was pervasive at high elevations and that the declining conditions could be mapped and monitored using Landsat data. A pilot study was conducted to determine the nature and level of spectral changes that have taken place in these high-elevation forests since this time period. Datasets used included Landsat multispectral scanner (MSS) data acquired in 1976 and 1991, Landsat thematic mapper (TM) data acquired in 1991, and Landsat enhanced thematic mapper plus (ETM+) data acquired in 1999. After developing an approach that enabled forest spectral comparison across sensors, it was found that subtle forest changes have occurred throughout much of the region, with the most obvious changes having occurred at the higher elevations. Additional investigation is warranted to determine the reasons behind these subtle changes.
منابع مشابه
Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series
Introduced insects and pathogens impact millions of acres of forested land in the United States each year, and large-scale monitoring efforts are essential for tracking the spread of outbreaks and quantifying the extent of damage. However, monitoring the impacts of defoliating insects presents a significant challenge due to the ephemeral nature of defoliation events. Using the 2016 gypsy moth (...
متن کاملGis , Spatial Statistical Graphics , and Forest Health
This paper discusses the use of a geographic information systems (GIS), Arcview 2.1, linked with a dynamic graphics program, XGobi, in the statistical analysis of spatial data. The link allows multivariate data, collected at geographic locations and stored in Arcview, to be passed into XGobi and analyzed dynamically. The connection between the points in XGobi and the spatial locations from whic...
متن کاملQuantifying Multi-Decadal Change of Planted Forest Cover Using Airborne LiDAR and Landsat Imagery
Continuous monitoring of forest cover condition is key to understanding the carbon dynamics of forest ecosystems. This paper addresses how to integrate single-year airborne LiDAR and time-series Landsat imagery to derive forest cover change information. LiDAR data were used to extract forest cover at the sub-pixel level of Landsat for a single year, and the Landtrendr algorithm was applied to L...
متن کاملPotential gains in C storage on productive forestlands in the northeastern United States through stocking management.
One method of increasing forest carbon stocks that is often discussed is increasing stocking levels on existing forested lands. However, estimates of the potential increases in forest carbon sequestration as a result of increased stocking levels are not readily available. Using the USDA Forest Service's Forest Inventory and Analysis data coupled with the Forest Vegetation Simulator, we estimate...
متن کاملUsing Landsat Imagery to Quantify Temporal and Spatial Patterns in Hemlock Decline
The purpose of this study was to detect and map temporal patterns of hemlock (Tsuga canadensis) health and decline over fourteen years, following infestation by the hemlock woolly adelgid (HWA) (Adelges tsugae) in northern New Jersey, a region of rugged terrain and heterogeneous, hemlock-mixed hardwood forests. Maps of estimated hemlock forest condition were derived using November/December scen...
متن کامل