Development of remote sensing indicators for mapping episodic die-off of an invasive annual grass (Bromus tectorum) from the Landsat archive

Dilts, Thomas E.; Baughman, Owen W.; Meyer, Susan E.; Leger, Elizabeth A.; Gunst, K. Jane Van; Cleeves, L. Ilsedore

doi:10.1016/j.ecolind.2017.04.024

Cited by 24 publications

(15 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conventional remote sensing of invasive alien species utilises spectral wavelengths of absorbed and reflected light by distinguishing certain pigments in leaves and inflorescence (Huang and Asner 2009;Mirik et al 2013;Weisberg et al 2017;Müllerová et al 2013;Bradley 2014). Hence, the potential of S2 to detect and map invasive alien species exists (Rajah et al 2018).…”

Section: Introductionmentioning

confidence: 99%

The utility of Sentinel-2 Vegetation Indices (VIs) and Sentinel-1 Synthetic Aperture Radar (SAR) for invasive alien species detection and mapping

Rajah¹,

Odindi²,

Mutanga³

et al. 2019

View full text Add to dashboard Cite

The threat of invasive alien plant species is progressively becoming a serious global concern. Alien plant invasions adversely affect both ecological services and socio-economic systems. Hence, accurate detection and mapping of invasive alien species is valuable in mitigating adverse ecological and socio-economic effects. Recent advances in active and passive remote sensing technology have created new and cost-effective opportunities for the application of remote sensing to invasive species mapping. In this study, new generation Sentinel-2 (S2) optical imagery was compared to S2 derived Vegetation Indices (VIs) and S2 VIs fused with Sentinel-1 (S1) Synthetic Aperture Radar (SAR) imagery for detecting and mapping the American Bramble (Rubuscuneifolius). Fusion of S2 VIs and S1SAR imagery was conducted at pixel level and multi-class Support Vector Machine (SVM) image classification was used to determine the dominant land use land cover classes. Results indicated that S2 derived VIs were the most accurate (80%) in detecting and mapping Bramble, while fused S2 VIs and S1SAR were the least accurate (54%). Findings from this study suggest that the application of S2 VIs is more suitable for Bramble detection and mapping than the fused S2 VIs and S1SAR. The superior performance of S2 VIs highlights the value of the new generation S2 VIs for invasive alien species detection and mapping. Furthermore, this study recommends the use of freely available new generation satellite imagery for cost effective and timeous mapping of Bramble from surrounding native vegetation and other land use land cover types.

show abstract

Section: Introductionmentioning

confidence: 99%

The utility of Sentinel-2 Vegetation Indices (VIs) and Sentinel-1 Synthetic Aperture Radar (SAR) for invasive alien species detection and mapping

Rajah¹,

Odindi²,

Mutanga³

et al. 2019

View full text Add to dashboard Cite

show abstract

“…Ultimately, we expect that monitoring the loss of flowering can be used to continuously monitor the establishment of the BCA. The use of remotely sensed data has rapidly increased and has nowadays a wide range of applications in many different fields, with potential to become a key tool for ecological research and conservation ( Horning et al, 2010 ; Gonzalez et al, 2016 ) including for the study of invasive alien plants ( Cesar de Sa et al, 2017 ; Weisberg et al, 2017 ).…”

Section: Introductionmentioning

confidence: 99%

Mapping the Flowering of an Invasive Plant Using Unmanned Aerial Vehicles: Is There Potential for Biocontrol Monitoring?

et al. 2018

View full text Add to dashboard Cite

Invasion by alien species is a worldwide phenomenon with negative consequences at both natural and production areas. Acacia longifolia is an invasive shrub/small tree well known for its negative ecological impacts in several places around the world. The recent introduction of a biocontrol agent (Trichilogaster acaciaelongifoliae), an Australian bud-galling wasp which decreases flowering of A. longifolia, in Portugal, demands the development of a cost-efficient method to monitor its establishment. We tested how unmanned aerial vehicles (UAV) can be used to map A. longifolia flowering. Our core assumption is as the population of the biocontrol agent increases, its impacts on the reduction of A. longifolia flowering will be increasingly visible. Additionally, we tested if there is a simple linear correlation between the number of flowers of A. longifolia counted in field and the area covered by flowers in the UAV imagery. UAV imagery was acquired over seven coastal areas including frontal dunes, interior sand dunes and pine forests considering two phenological stages: peak and off-peak flowering season. The number of flowers of A. longifolia was counted, in a minimum of 60 1 m2 quadrats per study area. For each study area, flower presence/absence maps were obtained using supervised Random Forest. The correlation between the number of flowers and the area covered by flowering plants could then be tested. The flowering of A. longifolia was mapped using UAV mounted with RGB and CIR Cannon IXUS/ELPH cameras (Overall Accuracy > 0.96; Cohen’s Kappa > 0.85) varying according to habitat type and flowering season. The correlation between the number of flowers counted and the area covered by flowering was weak (r2 between 0.0134 and 0.156). This is probably explained, at least partially, by the high variability of A. longifolia in what regards flowering morphology and distribution. The very high accuracy of our approach to map A. longifolia flowering proved to be cost efficient and replicable, showing great potential for detecting the future decrease in flowering promoted by the biocontrol agent. The attempt to provide a low-cost method to estimate A. longifolia flower productivity using UAV failed, but it provided valuable insights on the future steps.

show abstract

“…In a particularly dramatic example, the invasive plant Bromus tectorum periodically experiences large-scale "die-offs" or total stand failures caused by soil pathogens in the areas of the Great Basin (Baughman & Meyer 2013). Some areas are prone to repeated episodes of die-off (Weisberg et al 2017), and establishing islands of native species within these areas could prime an area for nucleation due to periodic reductions in competition from invasive annuals (Baughman & Meyer 2013).…”

Section: H Erosion Mitigationmentioning

confidence: 99%

Restoration islands: a tool for efficiently restoring dryland ecosystems?

Hulvey

Leger

Porensky

et al. 2017

Restoration Ecology

Self Cite

View full text Add to dashboard Cite

Restoration islands are concentrated plantings in strategic locations, created to efficiently use resources to achieve restoration goals. These methods have been used effectively in mesic ecosystems, particularly tropical forests, where the goal of island plantings is often to “nucleate” across a degraded area, providing a seed source for spread outside the planted area. Here, we consider how an island strategy might be used to achieve restoration goals in dryland ecosystems, where limited resources and large areas of degraded land make restoration extremely challenging. In contrast to more productive areas, spread or “nucleation” from restoration islands in drylands may not occur or occur more slowly than required by most management time frames. Despite this, small‐scale, more intensive island plantings may still be useful for achieving short‐term goals, such as weed control, fire management, erosion control, and creation of wildlife habitat. Over the long term, island plantings could serve the same nucleation function as in other ecosystems and serve as repositories for genetic diversity within highly fragmented native systems. Here, we highlight the opportunities for using these high‐intensity, targeted planting methods in dryland ecosystems, provide the guidelines for establishing islands to achieve short‐ and long‐term restoration goals, and identify the areas where additional research is needed to understand the value of restoration islands in dryland ecosystems.

show abstract

Development of remote sensing indicators for mapping episodic die-off of an invasive annual grass (Bromus tectorum) from the Landsat archive

Cited by 24 publications

References 33 publications

The utility of Sentinel-2 Vegetation Indices (VIs) and Sentinel-1 Synthetic Aperture Radar (SAR) for invasive alien species detection and mapping

The utility of Sentinel-2 Vegetation Indices (VIs) and Sentinel-1 Synthetic Aperture Radar (SAR) for invasive alien species detection and mapping

Mapping the Flowering of an Invasive Plant Using Unmanned Aerial Vehicles: Is There Potential for Biocontrol Monitoring?

Restoration islands: a tool for efficiently restoring dryland ecosystems?

Contact Info

Product

Resources

About