Estimating leaf area index of a degraded mangrove forest using high spatial resolution satellite data

By J. Kovacs, F. Flores-Verdugo, Jinfei Wang, Lance P. Aspden. 2004

101 citations recorded by the source corpus.

Subfields: Ecology, Forestry

View Paper: https://www.semanticscholar.org/paper/819155959e45ed8668e3fa47d1fcd188e09d13ad

How researchers see this paper

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In Ecology

1. Andrew K. Skidmore
2. Martin Schlerf
3. Roshanak Darvishzadeh
4. Clement Atzberger
5. Moses Azong Cho
6. Fabio Corsi
7. Jochem Verrelst
8. José F. Moreno

Citations in the corpus

• LAI and chlorophyll estimation for a heterogeneous grassland using hyperspectral measurements (2008, background): “, 2001) or forests (Chen et al., 1997; Fang et al., 2003; Gemmell et al., 2002; Kalacska et al., 2004; Kovacs et al., 2004; Running et al., 1986; Schlerf and Atzberger, 2006; White et al., 1997) where, typically, a single species was investigated.”
• A Review of Wetland Remote Sensing (2017, methodology): “Kovacs and Flores [213] determined the relationship between leaf area index (LAI) from field surveys and the vegetation index derived from satellite imagery (IKONOS) in disturbed mangrove forests; they established a close relationship, which indicates that IKONOS can be used as a robust tool in moni”