A survey of image classification methods and techniques for improving classification performance
Image classification is a complex process that may be affected by many factors. This paper
examines current practices, problems, and prospects of image classification. The emphasis …
examines current practices, problems, and prospects of image classification. The emphasis …
Carbon in Canada's boreal forest—a synthesis
WA Kurz, CH Shaw, C Boisvenue… - Environmental …, 2013 - cdnsciencepub.com
Canada's managed boreal forest, 54% of the nation's total boreal forest area, stores 28 Pg
carbon (C) in biomass, dead organic matter, and soil pools. The net C balance is dominated …
carbon (C) in biomass, dead organic matter, and soil pools. The net C balance is dominated …
Understanding forest health with remote sensing-part I—a review of spectral traits, processes and remote-sensing characteristics
Anthropogenic stress and disturbance of forest ecosystems (FES) has been increasing at all
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …
scales from local to global. In rapidly changing environments, in-situ terrestrial FES …
The application of artificial neural networks to the analysis of remotely sensed data
Artificial neural networks (ANNs) have become a popular tool in the analysis of remotely
sensed data. Although significant progress has been made in image classification based …
sensed data. Although significant progress has been made in image classification based …
Remote sensing change detection tools for natural resource managers: Understanding concepts and tradeoffs in the design of landscape monitoring projects
Remote sensing provides a broad view of landscapes and can be consistent through time,
making it an important tool for monitoring and managing protected areas. An impediment to …
making it an important tool for monitoring and managing protected areas. An impediment to …
Forest disturbance and recovery: A general review in the context of spaceborne remote sensing of impacts on aboveground biomass and canopy structure
Abrupt forest disturbances generating gaps> 0.001 km2 impact roughly 0.4–0.7 million km2
a− 1. Fire, windstorms, logging, and shifting cultivation are dominant disturbances; minor …
a− 1. Fire, windstorms, logging, and shifting cultivation are dominant disturbances; minor …
Trajectory-based change detection for automated characterization of forest disturbance dynamics
Satellite sensors are well suited to monitoring changes on the Earth's surface through
provision of consistent and repeatable measurements at a spatial scale appropriate for …
provision of consistent and repeatable measurements at a spatial scale appropriate for …
Mapping land-cover modifications over large areas: A comparison of machine learning algorithms
Large area land-cover monitoring scenarios, involving large volumes of data, are becoming
more prevalent in remote sensing applications. Thus, there is a pressing need for increased …
more prevalent in remote sensing applications. Thus, there is a pressing need for increased …
Attribution of disturbance change agent from Landsat time-series in support of habitat monitoring in the Puget Sound region, USA
RE Kennedy, Z Yang, J Braaten, C Copass… - Remote Sensing of …, 2015 - Elsevier
To understand causes and consequences of landscape change, it is often not enough to
simply detect change. Rather, the agent causing the change must also be determined. Here …
simply detect change. Rather, the agent causing the change must also be determined. Here …
Time-series analysis of multi-resolution optical imagery for quantifying forest cover loss in Sumatra and Kalimantan, Indonesia
Monitoring loss of humid tropical forests via remotely sensed imagery is critical for a number
of environmental monitoring objectives, including carbon accounting, biodiversity, and …
of environmental monitoring objectives, including carbon accounting, biodiversity, and …