Using multitemporal satellite imagery to characterize forest wildlife habitat: The case of ruffed grouse

Tirpak, John M.; Giuliano, William M.

doi:10.1016/j.foreco.2010.07.052

Cited by 5 publications

(4 citation statements)

References 59 publications

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“…The NDVI for March proved particularly suitable to map the evergreen forest land‐cover fractions for southern China, without considering other forest types. Tirpak & Giuliano () discriminated evergreen from deciduous forest cover types with an 82% classification accuracy using only early spring NDVI data. Across southern China, seasonality differences are considerable.…”

Section: Resultsmentioning

confidence: 99%

Hyper‐temporal remote sensing helps in relating epiphyllous liverworts and evergreen forests

Jiang

Bie

Wang

et al. 2012

J Vegetation Science

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Question Is there, at the macro‐habitat scale, a relationship between the fraction of evergreen forests and the presence probability of epiphyllous liverworts? Can these two parameters be estimated and mapped using an NDVI‐based indicator that is derived from time‐series of SPOT‐VGT imagery? Location Southern China. Methods Applying the ISODATA algorithm, we classified SPOT‐VGT NDVI time‐series imagery and produced an NDVI map at 1‐km2 resolution containing 128 NDVI classes. That map and the National Land Cover Map of China (2000) were used to prepare a scheme for field sampling. For 537 1‐km2 areas, located in 19 blocks of 100 km × 100 km, field data were collected. They represented 51 preselected NDVI classes that were assumed to contain evergreen forests. Data on the fractions of forest and evergreen forest, the fraction of evergreen forest in forest present and presence probability of epiphyllous liverworts were regressed against different NDVI class‐specific indicators by means of weighted least‐squares regression (WLSR). Results The SPOT‐VGT NDVI for March was found to best explain the variation between 1‐km2 areas in the presence probability of epiphyllous liverworts (R2 = 0.64; linear relationship; RMSE = 0.38) as the area fraction (%) of evergreen forest (R2 = 0.90; exponential relationship; RMSE = 6.1%). Epiphyllous liverworts were only found within 1‐km2 areas when the SPOT‐VGT NDVI value for March was more than 0.50 (model estimate: 0.43 ± 0.20) and the fraction of evergreen forest in 1 km2 was above 14% (model estimate: 5 ± 35%). The estimation errors (with 95% confidence interval) of these two relationships were calculated using a bootstrap resampling method with 1000 replications; they were, respectively, 0.49–0.76 and 0.85–0.94 for R2, and 0.11–0.23 and 5.2–11.9% for RMSE. Other positive relationships were found between the presence probability of epiphyllous liverworts and the fraction of evergreen forest (R2 = 0.64, linear relationship; RMSE = 0.38) and between the fraction of evergreen forest and forest within 1‐km2 areas (R2 = 0.80, linear relationship; RMSE = 29%). Conclusion We show that for southern China, the fraction of evergreen forest and the presence probability of epiphyllous liverworts can directly be inferred by making use of SPOT‐VGT NDVI imagery. The findings are fully consistent with earlier reported hotspots for epiphyllous liverworts. At the macro‐habitat scale, the presence probability of epiphyllous liverworts proved quantitatively related to the fraction of evergreen forest. This suggests causal relationships with patch size and/or rainfall patterns. We believe that the derived maps may serve as a foundation for a range of further studies.

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Section: Resultsmentioning

confidence: 99%

Hyper‐temporal remote sensing helps in relating epiphyllous liverworts and evergreen forests

Jiang

Bie

Wang

et al. 2012

J Vegetation Science

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“…In China, bamboo understory in panda habitats is difficult to map with summer images alone, because both understory and canopy provide similar radiance in summertime, but winter images improved the classification accuracy up to 89% (Wang et al 2009). Similarly, the normalized difference vegetation index derived from winter imagery was the most reliable tool for discriminating evergreen and deciduous understory in ruffed grouse habitats in the Appalachian mountains (Tirpak & Giuliano 2010). Winter images also improved mapping of boreal forests in Canada (Wolter et al 2008) and temperate forests in Russia (Baumann et al 2012).…”

Section: Discussionmentioning

confidence: 99%

“…Healey et al 2005; Potapov et al 2012). However winter satellite images can be very useful when mapping forest types (Liira et al 2006; Tirpak & Giuliano 2010; Wang et al 2009) and harvests in coniferous forests (Tirpak & Giuliano 2010). Indeed, in European Russia, winter imagery improved the classification of temperate forest disturbance substantially (Baumann et al 2012).…”

Section: Introductionmentioning

confidence: 99%

Monitoring selective logging with Landsat satellite imagery reveals that protected forests in Western Siberia experience greater harvest than non-protected forests

et al. 2017

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SUMMARYWhen timber harvesting is an important source of local income and forest resources are declining, even forests that are designated as protected areas may become vulnerable. Therefore, regular monitoring of forest disturbance is necessary to enforce the protection of forest ecosystems. However, mapping forest disturbance with satellite imagery can be complicated if the majority of the harvesting is selective logging and not clearcuts. Our goal was to map both selective logging and clearcuts within and outside of protected areas in Western Siberia, a region with a highly developed timber industry. Combining summer and winter imagery allowed us to accurately estimate not only clearcuts, but also selective logging. Winter Landsat images substantially improved our classification and resulted in a highly accurate forest disturbance map (97.5% overall accuracy and 86% user accuracy for the rarest class, clearcuts). Selective logging and stripcuts were the dominant disturbance types, accounting for 96.3% of all forest disturbances, versus 3.7% for clearcuts. The total annual forest disturbance rate (i.e. disturbance rate for clearcuts, stripcuts and selective logging together) was 0.53%, but total forest disturbance within protected areas was greater than in non-protected forest (0.66% versus 0.50%, respectively), and so was the annual rate of selective logging (i.e. without clearcuts, 0.37% versus 0.25%, respectively). Our results highlight that monitoring only clearcuts without assessing selective logging might result in significant underestimation of forest disturbance. Also, when timber harvesting is important for the local economy and when protected areas have valuable timber resources that have already been depleted elsewhere, then additional protection may be necessary in order to maintain natural forests within protected areas. We suggest that this is the * Correspondence: Alexander Shchur e-mail: alexander.shchur. 1985@gmail.ru situation in our study area in Western Siberia right now and is likely the situation in many other parts of the globe as well.

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“…Azt találták, hogy az ősés idegenhonos madarak fajgazdagsága térben korrelál (Hugo & Rensburg 2009). Kanadában az ürömfajd (Centrocercus urophasianus) téli élőhely preferenciájának és eloszlásának vizsgálatakor a vegetációt jellemző egyik változó az NDVI volt (Carpenter et al2010).Észak-Amerikában az NDVI-t használták a csökkenő populációjú galléros császármadár (Bonasa umbellus) által kedvelt erdei élőhelyek struktúrájának és az aljnövényzet típusának meghatározására, vizsgálatára a faj védelme érdekében(Tirpak & Giuliano 2010).…”

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Távérzékelés használata az énekes nádiposzáta (Acrocephalus palustris) vedlő- és telelőterületeinek meghatározására

Miholcsa¹

2015

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Using multitemporal satellite imagery to characterize forest wildlife habitat: The case of ruffed grouse

Cited by 5 publications

References 59 publications

Hyper‐temporal remote sensing helps in relating epiphyllous liverworts and evergreen forests

Hyper‐temporal remote sensing helps in relating epiphyllous liverworts and evergreen forests

Monitoring selective logging with Landsat satellite imagery reveals that protected forests in Western Siberia experience greater harvest than non-protected forests

Távérzékelés használata az énekes nádiposzáta (Acrocephalus palustris) vedlő- és telelőterületeinek meghatározására

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