We introduce and test LandTrendr (Landsat-based detection of Trends in Disturbance and
Recovery), a new approach to extract spectral trajectories of land surface change from yearly …

The LandTrendr (LT) algorithm has been used widely for analysis of change in Landsat
spectral time series data, but requires significant pre-processing, data management, and …

Mortality is a key indicator of forest health, and increasing mortality can serve as bellwether
for the impacts of global change on forest ecosystems. Here we analyze trends in forest …

Global Positioning System (GPS) measurements in China indicate that crustal shortening
accommodates most of India's penetration into Eurasia. Deformation within the Tibetan Plateau …

Landsat satellite data has become ubiquitous in regional-scale forest disturbance detection.
The Tasseled Cap (TC) transformation for Landsat data has been used in several …

Availability of free, high quality Landsat data portends a new era in remote sensing change
detection. Using dense (~annual) Landsat time series (LTS), we can now characterize …

Detecting and characterizing continuous changes in early forest succession using multi-temporal
satellite imagery requires atmospheric correction procedures that are both …

Background: Chinese nationwide norms of the Mini-Mental State Examination (MMSE) have
not been established despite its wide use. Objective: To obtain norms for the MMSE based …

Understanding fine-grain patterns of forest disturbance and regrowth at the landscape scale
is critical for effective management, particularly in forests in western Washington, Oregon, …

Evidence of shifting dominance among major forest disturbance agent classes regionally to
globally has been emerging in the literature. For example, climate-related stress and …