Classifying rangeland vegetation type and coverage from NDVI time series using Fourier Filtered Cycle Similarity
By R. Geerken, Benjamin F. Zaitchik, Jason P. Evans. 2005
168 citations recorded by the source corpus.
Subfields: Ecological Modeling, Ecology, Nature and Landscape Conservation
View Paper: https://www.semanticscholar.org/paper/86ff94770f73f99d5d683438d3c298450b7bdb10
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Ecological Modeling
In Ecology
In Nature and Landscape Conservation
Citations in the corpus
- The Palaearctic steppe biome: a new synthesis (2016, background): “(N Caucasus: A. taurica, S Caucasus: A. lerchiana; Mesopotamia and Syria: A. aucheri; Anatolia and Albroz Mts.: A. sieberi; Geerken et al. 2005), mixed with desert species such as Salsola”
- Stabilizing high‐order, non‐classical harmonic analysis of NDVI data for average annual models by damping model roughness (2007, background): “One of the most recent reports to revisit the question of ‘resolution’ is that of Geerken et al. (2005) who apply a DFT to SPOT-derived 1 km NDVI data from the Middle East to classify native rangeland.”
- Remote sensing imagery in vegetation mapping: a review (2008, background): “A growing number of studies have examined a wide variety of vegetative phenomena (including mapping vegetation cover) by using remote sensed data (Duchemin et al. 1999; Geerken et al. 2005; Nerry et al. 1998; Xavier et al. 2006).”
- Elephant spatial use in wet and dry savannas of southern Africa (2009, background): “Because herbaceous cover that predominated in the dry savanna sites is typically more temporally variable than woody vegetation (see Geerken et al., 2005; van Bommel et al., 2006), elephants living in wet savannas may simply have more opportunity to return to known stable sources of food and water…”