Hyperspectral Remote Sensing Tools for Quantifying Plant Litter and Invasive Species in Arid Ecosystems

2011 ◽  
pp. 361-394
Author(s):  
Pamela Nagler ◽  
B Sridhar ◽  
Aaryn Olsson ◽  
Willem van Leeuwen ◽  
Edward Glenn
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Plant Litter ◽  
Hyperspectral Remote Sensing ◽  
Arid Ecosystems

Hyperspectral remote sensing estimation models for foliar photosynthetic pigment contents at canopy level in an invasive species,Spartina alterniflora

2015 ◽  
Vol 35 (4) ◽  
Author(s):  
艾金泉 AI Jinquan ◽  
陈文惠 CHEN Wenhui ◽  
陈丽娟 CHEN Lijuan ◽  
张永贺 ZHANG Yonghe ◽  
周毅军 ZHOU Yijun ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Spartina Alterniflora ◽  
Photosynthetic Pigment ◽  
Hyperspectral Remote Sensing ◽  
Pigment Contents ◽  
Estimation Models

scholarly journals Characterizing the effect of small-scale topographic variability on co-existing native and invasive species in a heterogeneous grassland using airborne hyperspectral remote sensing

2021 ◽  
Author(s):  
Phuong D. Dao ◽  
Alexander Axiotis ◽  
Yuhong He
Keyword(s):  
Remote Sensing ◽  
Invasive Species ◽  
Native Plants ◽  
Grassland Management ◽  
Hyperspectral Remote Sensing ◽  
Dominant Factor ◽  
Small Scale ◽  
Species Classification ◽  
Spatial And Temporal Scales ◽  
Landscape Level

1. Characterizing the distribution, mechanism, and behaviour of invasive species is crucial to implementing an effective plan for the protection and management of native grassland ecosystems. Hyperspectral remote sensing has been used for mapping and monitoring invasive species at various spatial and temporal scales. However, most studies focus either on invasive tree species mapping or on the landscape-level using low-spatial resolution remote sensing imagery. These low-resolution images are not fine enough to distinguish individual invasive grasses, especially in a heterogeneous environment where invasive species are small, fragmented, and co-existing with native plants with similar color and texture. 2. To capture the small yet highly dynamic invasive plants at different stages of the growing season and under various topography and hydrological conditions, we use airborne high-resolution narrow-band hyperspectral imagery (HrHSI) to map invasive species in a heterogeneous grassland ecosystem in southern Ontario, Canada. 3. The results show that there is high spectral and textural separability between invasive species and between invasive and native plants, leading to an overall species classification accuracy of up to 89.6%. The combination of resultant species-level maps and the digital elevation model (DEM) showed that seasonality is the dominant factor that drives the distribution of invasive species at the landscape level, while small-scale topographic variations partially explain local patches of invasive species. 4. This study provides insights into the feasibility of using HrHSI in mapping invasive species in a heterogeneous ecosystem and offers the means to understand the mechanism and behaviour of invasive species for a more effective grassland management strategy.

Hyperspectral Remote Sensing Technology (HRST) program

1997 ◽  
Author(s):  
Tom Wilson ◽  
Rebecca Baugh ◽  
Ron Contillo ◽  
Tom Wilson ◽  
Rebecca Baugh ◽  
...  
Keyword(s):  
Remote Sensing ◽  
Hyperspectral Remote Sensing ◽  
Remote Sensing Technology ◽  
Sensing Technology
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