Non-parametric and parametric methods using satellite images for estimating growing stock volume in alpine and Mediterranean forest ecosystems

By Gherardo Chirici, A. Barbati, Piermaria Corona, M. Marchetti, D. Travaglini, F. Maselli, R. Bertini. 2008

124 citations recorded by the source corpus.

Subfields: Ecology, Environmental Engineering, Nature and Landscape Conservation

View Paper: https://www.semanticscholar.org/paper/fdc37f8cbd5f63205a2fa72ef246a86f1de07549

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Ecology

1. Ronald E. McRoberts
2. Steen Magnussen
3. Erkki Tomppo
4. Gherardo Chirici
5. Matti Maltamo
6. Petteri Packalen
7. Piermaria Corona
8. Dengsheng Lu

In Environmental Engineering

1. Ronald E. McRoberts
2. Petteri Packalen
3. Steen Magnussen
4. Matti Maltamo
5. Erkki Tomppo
6. Piermaria Corona
7. Gherardo Chirici
8. Qi Chen

In Nature and Landscape Conservation

1. Ronald E. McRoberts
2. Petteri Packalen
3. Matti Maltamo
4. Steen Magnussen
5. Erkki Tomppo
6. Piermaria Corona
7. Gherardo Chirici
8. Qi Chen

Citations in the corpus

• Integration of forest mapping and inventory to support forest management (2010, methodology): “Examples of NN applications are provided by Franco-Lopez et al. (2001), Tomppo et al. (2002a, 2009), Chirici et al. (2008), McRoberts (2009a).”
• A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems (2016, background): “In this approach, the choice of the k value, type of distance measure including Euclidean distance and Mahalanobis distance, and weighed function are critical factors influencing the estimation accuracy (Chirici et al. 2008; Tomppo et al. 2008).”
• Parametric, bootstrap, and jackknife variance estimators for the k-Nearest Neighbors technique with illustrations using forest inventory and satellite image data (2011, methodology): “…optimized using observations of the response variables include the Canonical Correlation Analysis metric (LeMay & Temesgen, 2005; Moeur & Stage, 1995), the Canonical Correspondence metric (Ohmann & Gregory, 2002), and the Fuzzy, Multiple regression, and Nonparametric metrics (Chirici et al., 2008).”
• Variable selection strategies for nearest neighbor imputation methods used in remote sensing based forest inventory (2012, background): “Numerous distance metrics are used in NN imputation and many comparisons of them have been published recently (e.g., LeMay and Temesgen, 2005; Chirici et al., 2008; Hudak et al., 2008; Breidenbach et al., 2010; Latifi et al., 2010).”
• Satellite-based carbon stock estimation for bamboo forest with a non-linear partial least square regression technique (2012, methodology): “…such as vegetation indices, principal components, texture measures based on different spectral bands and moving window sizes and some geographic information system (GIS) factors may be the potential variables (Foody et al. 2003, Lu 2005, Chirici et al. 2008, Fuchs et al. 2009, Xu et al. 2011).”