Successional theories
Succession is a fundamental concept in ecology because it indicates how species
populations, communities, and ecosystems change over time on new substrate or after a …
populations, communities, and ecosystems change over time on new substrate or after a …
Remote sensing techniques in monitoring post-fire effects and patterns of forest recovery in boreal forest regions: A review
T Chu, X Guo - Remote Sensing, 2013 - mdpi.com
The frequency and severity of forest fires, coupled with changes in spatial and temporal
precipitation and temperature patterns, are likely to severely affect the characteristics of …
precipitation and temperature patterns, are likely to severely affect the characteristics of …
Imputation of Individual Longleaf Pine (Pinus palustris Mill.) Tree Attributes from Field and LiDAR Data
Abstract Light Detection and Ranging (LiDAR) has demonstrated potential for forest
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
inventory at the individual-tree level. The aim in this study was to predict individual-tree …
Evaluating the potential of airborne hyperspectral LiDAR for assessing forest insects and diseases with 3D Radiative Transfer Modeling
X Zhao, J Qi, H Xu, Z Yu, L Yuan, Y Chen… - Remote Sensing of …, 2023 - Elsevier
Accurately monitoring forest insects and diseases disturbances is important for managing
forests and implementing effective forest quality improvement measures. However …
forests and implementing effective forest quality improvement measures. However …
Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches
Spatially and temporally explicit knowledge of biomass dynamics at broad scales is critical
to understanding how forest disturbance and regrowth processes influence carbon …
to understanding how forest disturbance and regrowth processes influence carbon …
Forest biomass estimation from airborne LiDAR data using machine learning approaches
During the past decade, procedures for forest biomass quantification from light detection and
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …
ranging (LiDAR) data have been improved at a rapid pace. The scope of these methods …
Modeling species distribution and change using random forest
Although inference is a critical component in ecological modeling, the balance between
accurate predictions and inference is the ultimate goal in ecological studies (Peters 1991; …
accurate predictions and inference is the ultimate goal in ecological studies (Peters 1991; …
Photon counting LiDAR: An adaptive ground and canopy height retrieval algorithm for ICESat-2 data
Abstract The upcoming Ice, Cloud and Land Elevation Satellite-2 (ICESat-2) mission will
offer prospects for map** and monitoring biomass and carbon of terrestrial ecosystems …
offer prospects for map** and monitoring biomass and carbon of terrestrial ecosystems …
Quantifying aboveground forest carbon pools and fluxes from repeat LiDAR surveys
Sound forest policy and management decisions to mitigate rising atmospheric CO2 depend
upon accurate methodologies to quantify forest carbon pools and fluxes over large tracts of …
upon accurate methodologies to quantify forest carbon pools and fluxes over large tracts of …
Using Landsat-derived disturbance history (1972–2010) to predict current forest structure
Lidar is currently the most accurate method for remote estimation of forest structure, but it
has limited spatial and temporal coverage. Conversely, Landsat data are more widely …
has limited spatial and temporal coverage. Conversely, Landsat data are more widely …