Forest health assessment for geo-environmental planning and management in hilltop mining areas using Hyperion and Landsat data

Kayet, Narayan; Pathak, Khanindra; Chakrabarty, Abhisek; Singh, Chandra Prakash; Chowdary, V. M.; Kumar, Sanjeev

doi:10.1016/j.ecolind.2019.105471

Cited by 24 publications

(8 citation statements)

References 66 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Remote sensing techniques for monitoring forest health include airborne imaging spectroscopy to derive vegetation indices, airborne laser scanning penetration variables, and spectral mixture analysis [24,25]. The most important photosynthesis indicator used in the assessment of tree vitality is chlorophyll fluorescence, which is assessed using spectrometry [26].…”

Section: Tree Physiological Processesmentioning

confidence: 99%

Tree Vitality and Forest Health: Can Tree-Ring Stable Isotopes Be Used as Indicators?

2021

View full text Add to dashboard Cite

Purpose of Review Society is concerned about the long-term condition of the forests. Although a clear definition of forest health is still missing, to evaluate forest health, monitoring efforts in the past 40 years have concentrated on the assessment of tree vitality, trying to estimate tree photosynthesis rates and productivity. Used in monitoring forest decline in Central Europe since the 1980s, crown foliage transparency has been commonly believed to be the best indicator of tree condition in relation to air pollution, although annual variations appear more closely related to water stress. Although crown transparency is not a good indicator of tree photosynthesis rates, defoliation is still one of the most used indicators of tree vitality. Tree rings have been often used as indicators of past productivity. However, long-term tree growth trends are difficult to interpret because of sampling bias, and ring width patterns do not provide any information about tree physiological processes. Recent Findings In the past two decades, tree-ring stable isotopes have been used not only to reconstruct the impact of past climatic events, such as drought, but also in the study of forest decline induced by air pollution episodes, and other natural disturbances and environmental stress, such as pest outbreaks and wildfires. They have proven to be useful tools for understanding physiological processes and tree response to such stress factors. Summary Tree-ring stable isotopes integrate crown transpiration rates and photosynthesis rates and may enhance our understanding of tree vitality. They are promising indicators of tree vitality. We call for the use of tree-ring stable isotopes in future monitoring programmes.

show abstract

Section: Tree Physiological Processesmentioning

confidence: 99%

Tree Vitality and Forest Health: Can Tree-Ring Stable Isotopes Be Used as Indicators?

2021

View full text Add to dashboard Cite

show abstract

“…The concept of forest health was first introduced in Germany in the 1970s and has since spread to other countries [29]. Following the development of forest health theory, empirical studies on forest health assessment have emerged [30][31][32]. Chinese studies of forest ecological security mainly focus on the evaluation of forest ecological security and the relationship between forest ecological security and the forestry economy.…”

Section: Introductionmentioning

confidence: 99%

Endogenous Transmission Mechanism and Spatial Effect of Forest Ecological Security in China

Cai

Bin

LYU

2021

Forests

View full text Add to dashboard Cite

Forest ecological security is an important component of ecological security and national security, and it is a requirement for the sustainable development of the forestry economy. In this study, based on the pressure–state–response (PSR) model, an evaluation index system of forest ecological security was constructed regarding three aspects: the pressure on the forest ecosystem caused by human activities, the state of the forest ecosystem, and the response measures taken by humans to protect the forest ecosystem. The forest ecological security and its pressure, state, and response in 31 provinces (municipalities and autonomous regions) in China from 2004 to 2018 were evaluated. Furthermore, with the help of a mediating effect model, the Moran index, and a spatial econometric model, the interaction relationship, spatial correlation effect, and spatial spillover effect of the pressure–state–response of forest ecological security were analyzed. The results showed the following: First, during the study period, the forest ecological security of most provinces was at sensitive and critical safety levels, and the forest ecological security level in Northeast and Southwest China was generally higher than that in Northwest and East China. Second, regarding the pressure, state, and response of forest ecological security, the pressure was generally low but with an increasing trend, the state was relatively good with continuous improvement, and the response was clearly insufficient and showed a fluctuating downward trend. Third, there were six different transmission mechanisms between pressure, state, and response of forest ecological security, among which there were significant transmission barriers between pressure and response. Given these findings, we propose suggestions to promote the improvement of forest ecological security in China.

show abstract

“…Pinto et al [16] successfully used hyperspectral imagery to characterize pest infections on peanut leaves using random forest, while Yu et al [17] aimed to detect pine wilt disease in pine plots in China using vegetation indices derived from hyperspectral data. Other studies which applied hyperspectral data for forest health monitoring are [18][19][20]. Building upon these successful applications of hyperspectral remote sensing usage in the field of leaf and tree health monitoring, this work analyzes tree defoliation in northern Spain using airborne hyperspectral data.…”

Section: Introductionmentioning

confidence: 99%

Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?

et al. 2021

View full text Add to dashboard Cite

This study analyzed highly correlated, feature-rich datasets from hyperspectral remote sensing data using multiple statistical and machine-learning methods. The effect of filter-based feature selection methods on predictive performance was compared. In addition, the effect of multiple expert-based and data-driven feature sets, derived from the reflectance data, was investigated. Defoliation of trees (%), derived from in situ measurements from fall 2016, was modeled as a function of reflectance. Variable importance was assessed using permutation-based feature importance. Overall, the support vector machine (SVM) outperformed other algorithms, such as random forest (RF), extreme gradient boosting (XGBoost), and lasso (L1) and ridge (L2) regressions by at least three percentage points. The combination of certain feature sets showed small increases in predictive performance, while no substantial differences between individual feature sets were observed. For some combinations of learners and feature sets, filter methods achieved better predictive performances than using no feature selection. Ensemble filters did not have a substantial impact on performance. The most important features were located around the red edge. Additional features in the near-infrared region (800–1000 nm) were also essential to achieve the overall best performances. Filter methods have the potential to be helpful in high-dimensional situations and are able to improve the interpretation of feature effects in fitted models, which is an essential constraint in environmental modeling studies. Nevertheless, more training data and replication in similar benchmarking studies are needed to be able to generalize the results.

show abstract

Forest health assessment for geo-environmental planning and management in hilltop mining areas using Hyperion and Landsat data

Cited by 24 publications

References 66 publications

Tree Vitality and Forest Health: Can Tree-Ring Stable Isotopes Be Used as Indicators?

Tree Vitality and Forest Health: Can Tree-Ring Stable Isotopes Be Used as Indicators?

Endogenous Transmission Mechanism and Spatial Effect of Forest Ecological Security in China

Monitoring Forest Health Using Hyperspectral Imagery: Does Feature Selection Improve the Performance of Machine-Learning Techniques?

Contact Info

Product

Resources

About