Quantifying error in aerial survey data

Johnson, E. L.; Ross, Jennifer

doi:10.1080/00049158.2008.10675038

Cited by 66 publications

(58 citation statements)

References 2 publications

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“…Similarly, large portions of southern Rhode Island identified by the LTS product as highly disturbed (Figure 7) are missing from the sketch maps. These findings are consistent with those of Johnson and Ross [41], who identified high errors of both omission and commission in their accuracy assessment of aerial sketch data for defoliation events in the Rocky Mountain Region. It is possible that some of these errors stem from the timing of aerial surveys.…”

Section: Comparison To Other Defoliation Productssupporting

confidence: 82%

Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series

Pasquarella

Bradley

Woodcock

2017

Forests

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Introduced insects and pathogens impact millions of acres of forested land in the UnitedStates each year, and large-scale monitoring efforts are essential for tracking the spread of outbreaks and quantifying the extent of damage. However, monitoring the impacts of defoliating insects presents a significant challenge due to the ephemeral nature of defoliation events. Using the 2016 gypsy moth (Lymantria dispar) outbreak in Southern New England as a case study, we present a new approach for near-real-time defoliation monitoring using synthetic images produced from Landsat time series. By comparing predicted and observed images, we assessed changes in vegetation condition multiple times over the course of an outbreak. Initial measures can be made as imagery becomes available, and season-integrated products provide a wall-to-wall assessment of potential defoliation at 30 m resolution. Qualitative and quantitative comparisons suggest our Landsat Time Series (LTS) products improve identification of defoliation events relative to existing products and provide a repeatable metric of change in condition. Our synthetic-image approach is an important step toward using the full temporal potential of the Landsat archive for operational monitoring of forest health over large extents, and provides an important new tool for understanding spatial and temporal dynamics of insect defoliators.

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Section: Comparison To Other Defoliation Productssupporting

confidence: 82%

Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series

Pasquarella

Bradley

Woodcock

2017

Forests

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“…In their study about bark beetles aerial surveys in the United States of America, these authors collected 257 plots for validation and created an error matrix to quantify errors in the aerial survey data, obtaining accuracies between 61% and 79%. According to these authors, not only does the accuracy assessment enable quantification errors to be included in the metadata, but it can also improve training programmes by focussing on the more error-prone aspects (Johnson and Ross 2008). While there is indeed value in assessing the accuracy of aerial surveys, the critical question is how to undertake such assessments.…”

Section: Validating Aerial Survey Mapsmentioning

confidence: 99%

“…However, there is consensus that aerial surveys are not directly suitable as reference data for calibrating or validating remote sensing insect damage maps (de Beurs and Townsend 2008;Neigh et al 2014). Aerial survey maps are inconsistent in assigning levels of forest damage, incomplete in spatial coverage, subjective in its derivation, and are prone to overestimating damage within delineated areas (MacLean and MacKinnon 1996;Johnson and Ross 2008). Nevertheless, they can provide a useful approximation to stratify the landscape for field sampling and satellite image acquisition purposes, and to corroborate whether remote sensing results spatially resemble those obtained from aerial survey (Hall et al 2007).…”

Section: Validating Aerial Survey Mapsmentioning

confidence: 99%

“…There is increasing interest in quantitatively assessing the spatial and categorical accuracies of aerial survey data according to Johnson and Ross (2008). In their study about bark beetles aerial surveys in the United States of America, these authors collected 257 plots for validation and created an error matrix to quantify errors in the aerial survey data, obtaining accuracies between 61% and 79%.…”

Section: Validating Aerial Survey Mapsmentioning

confidence: 99%

“…Harris and Dawson (1979) compared sketch-mapping with oblique aerial photography (taken in the same flight and later interpreted), and concluded that damage area estimation can be improved by using air photographs to refine the sketch in the office, but that the gains in accuracy should be weighed against the cost of obtaining the photographs and interpreting them. Johnson and Ross (2008) in the United States Department of Agriculture Forest Service's Rocky Mountain Region compared aerial survey to ground reference results with a spatial tolerance of 50 and 500 m for a range of forest pests with reported accuracies ranging from 61% to 79%, respectively. These results suggest that a wider spatial tolerance to accommodate the aerial sketchmapper's delineation of a boundary would translate to a higher accuracy measure of classified damage severity.…”

Section: Validating Aerial Survey Mapsmentioning

confidence: 99%

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Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective

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Disturbance impacts on land surface temperature and gross primary productivity in the western United States

et al. 2017

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Forest disturbances influence forest structure, composition, and function and may impact climate through changes in net radiation or through shifts in carbon exchange. Climate impacts vary depending on environmental variables and disturbance characteristics, yet few studies have investigated disturbance impacts over large, environmentally heterogeneous, regions. We used satellite data to objectively determine the impacts of fire, bark beetles, defoliators, and “unidentified disturbances” (UDs) on land surface temperature (LST) and gross primary productivity (GPP) across the western United States (U.S.). We investigated immediate disturbance impacts, the drivers of those impacts, and long‐term postdisturbance LST and GPP recovery patterns. All disturbance types caused LST increases (°C; fire: 3.45 ± 3.02, bark beetles: 0.76 ± 3.04, defoliators: 0.49 ± 3.12, and UD: 0.76 ± 3.03). Fire and insects resulted in GPP declines (%; fire: −25.05 ± 21.67, bark beetles: −2.84 ± 21.06, defoliators: −0.23 ± 15.40), while UDs resulted in slightly enhanced GPP (1.89 ± 24.20%). Disturbance responses also varied between ecoregions. Severity and interannual changes in air temperature were the primary drivers of short‐term disturbance responses, and severity also had a strong impact on long‐term recovery patterns. These results suggest a potential climate feedback due to disturbance‐induced biophysical changes that may strengthen as disturbance regimes shift due to climate change.

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Quantifying error in aerial survey data

Cited by 66 publications

References 2 publications

Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series

Near-Real-Time Monitoring of Insect Defoliation Using Landsat Time Series

Remote sensing of forest pest damage: a review and lessons learned from a Canadian perspective

Disturbance impacts on land surface temperature and gross primary productivity in the western United States

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