Distinguishing Brush and Weeds on Rangelands Using Video Remote Sensing

Abstract

This paper describes the application of a relatively new remote sensing tool, airborne video imagery, for distinguishing weed and brush species on rangelands. Plant species studied were false broomweed, spiny aster, and Chinese tamarisk. A multispectral video system that acquired color-infrared (CIR) composite imagery and its simultaneously synchronized three-band [near-infrared (NIR), red, and yellow-green] narrowband images was used for the false broomweed and spiny aster experiments. A conventional color camcorder video system was used to study Chinese tamarisk. False broomweed and spiny aster could be detected on CIR composite and NIR narrowband imagery, while Chinese tamarisk could be distinguished on conventional color imagery. Quantitative data obtained from digitized video images of the three species showed that their digital values were statistically different (P = 0.05) from those of associated vegetation and soil. Computer analyses of video images showed that populations of the three species could be quantified from associated vegetation. This technique permits area estimates of false broomweed, spiny aster, and Chinese tamarisk populations on rangeland and wildland areas.

Testing the discrimination and detection limits of WorldView-2 imagery on a challenging invasive plant target

“…Lass et al, 1996), canopy architecture (e.g. Everitt et al, 1992), seasonal changes in leaf colour (e.g. Everitt et al, 1996), and/or unique growth habits such as thicket formation (e.g.…”

“…Consequently, monitoring tools have routinely relied on airborne platforms that can acquire high spatial resolution video (e.g. Everitt et al, 1992;Frazier, 1998), multispectral (e.g. Lass et al, 1996;Everitt et al, 1999), and hyperspectral (e.g.…”

A Review on Remote Sensing of Weeds in Agriculture

“…By the early 1990s, CIR and CC video cameras were being used more frequently than aerial photography in remote sensing for rangeland weed detection. Everitt et al (1992b) used a multispectral video system that acquired CIR composite imagery to quantify infestations of false broomweed (Ericameria austrotexana M.C. Johnst.)…”

Ecogeographical determinants of the ecological niche of the common milkweed (Asclepias syriaca) on the basis of indices of remote sensing of land images

“…Наприклад, багато спектральних особливостей виникають, коли рослини, які викликають інтерес, квітнуть (Lass et al, 1996). Найважливіший аспект у вивченні за допомогою дистанційного зондування бур'янів -це ідентифікація ключових стадій росту бур'янів для визначення того моменту, коли вони найкращим чином можуть бути диференційовані від інших рослин (Everitt et al, 1992;Gardiner et al, 1998). Тенденція серед багатьох бур'янів зростати в окремих осередках із декількома рослинами може спричинити дискримінацію (Cardina et al, 1997;Rew et al, 1997).…”