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Abstract
Green vegetation can be monitored and distinguished using visible and infrared multiband and hyperspectral remote sensing methods. The problem has been in identifying and distinguishing the nonphotosynthetically active radiation (PAR) landscape components, such as litters and soils, from green vegetation [35-38]. Additionally, distinguishing different species of green vegetation is challenging using the relatively few bands available on most satellite sensors. This chapter focuses both on previously published work by Nagler et al. [35-38] that identified hyperspectral remote sensing characteristics that distinguish between green vegetation, soil, and litter (or senescent vegetation), and on new research conducted to aid in distinguishing invasive species from the mixed landcover surface.
| Publication type | Book chapter |
|---|---|
| Publication Subtype | Book Chapter |
| Title | Hyperspectral remote sensing tools for quantifying plant litter and invasive species in arid ecosystems |
| DOI | 10.1201/b11222-23 |
| Year Published | 2012 |
| Language | English |
| Publisher | CRC Press |
| Publisher location | Boca Raton, FL |
| Contributing office(s) | Southwest Biological Science Center |
| Description | 34 p. |
| Larger Work Type | Book |
| Larger Work Subtype | Monograph |
| Larger Work Title | Hyperspectral remote sensing of vegetation |
| First page | 361 |
| Last page | 394 |
| Online Only (Y/N) | N |
| Additional Online Files (Y/N) | N |
| Google Analytic Metrics | Metrics page |