Mapping moderate-scale land-cover over very large geographic areas within a collaborative framework: A case study of the Southwest Regional Gap Analysis Project (SWReGAP)

Lowry, John H.; Ramsey, R. Douglas; Thomas, Kathryn A.; Schrupp, Donald L.; Sajwaj, Todd; Kirby, Jessica L.; Waller, Eric K.; Schrader, Stefanie; Falzarano, S.; Langs, Lisa A.; Manis, Gerald S.; Wallace, Colin S.; Schulz, Keith A.; Comer, Patrick J.; Pohs, K.; Rieth, Wendy R.; Velasquez, Colon; Wolk, Brett H.; Kepner, William G.; Boykin, Kenneth G.; O'Brien, Lara; Bradford, David F.; Thompson, Bruce C.; Prior-Magee, J.

doi:10.1016/j.rse.2006.11.008

Cited by 113 publications

(115 citation statements)

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“…For this project, the addition of core-image derivatives (BGW) and ancillary datasets (slope, aspect, and elevation) to supplement core-image multispectral data (Landsat TM) was found to increase classification accuracy. In general, classification techniques using both spectral and ancillary data lead to greater overall accuracy, precision, and class distinctions (Trotter 1991;Jensen 1996;Lowry and others 2007).…”

Section: Discussionmentioning

confidence: 99%

“…Based on previous image classification efforts using Landsat TM imagery (Reese and others 2002;Lowry and others 2007), we utilized a Classification and Regression Tree (CART) analysis to produce a spatially explicit discrete classification of aspen stand types for the Cedar Mountain area (Appendix C). Decision tree classifiers (Breiman and others, 1984) are particularly relevant for remote sensing applications as they are non-parametric classifiers, requiring no prior assumptions of normality, and they readily accept categorical and continuous datasets.…”

Section: Methodsmentioning

confidence: 99%

“…With an increased availability of space-borne sensors that collect imagery at multiple spatial and spectral resolutions (e.g., MODIS, Landsat, SPOT, and IKONOS), coupled with improved computing and processing power; scientist, analysts, and land managers alike have developed better techniques to map aspen systems at local and regional scales (Heide 2002;Strand and others 2009;Lowry and others 2007). However, these efforts have often had very low accuracy measures and are unreliable for management purposes.…”

Section: Introductionmentioning

confidence: 99%

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Moderate-scale mapping methods of aspen stand types: a case study for Cedar Mountain in southern Utah

Oukrop¹,

Evans²,

Bartos³

et al. 2011

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Quaking aspen (Populus tremuloides Michx.) are the most widely distributed tree species across North America, but its dominance is declining in many areas of the western United States, with certain areas experiencing rapid mortality events over the past decade. The loss of aspen from western landscapes will continue to profoundly impact biological, commercial, and aesthetic resources associated with aspen. However, many options are available for its restoration. Advances in remote sensing technologies offer cost-effective means to produce spatial and quantitative information on the distribution and severity of declining aspen at many scales. This report describes the development and application of transferable remote sensing and geographic information system methodologies to accurately classify aspen condition within areas of delineated aspen woodland cover. These methodologies were applied on Cedar Mountain in southern Utah within the Colorado Plateau to map three aspen stand conditions (healthy, damaged, and seral) successfully. Using moderate-scale imagery (2008 Landsat TM data), digital elevation model derivatives, high-resolution National Agriculture Imagery Program imagery, and a decision tree modeling approach, a spatially explicit 2008 landscape assessment of Cedar Mountain aspen was produced with an overall accuracy of 81.3% (Kappa [к] or KHAT accuracy measure = 0.69, n = 445). Of the total area mapped as aspen within the 12,139-ha study area, healthy aspen was the most abundant with 49% (5960 ha), followed by damaged with 35% (4210 ha), and seral with an estimated 16% (1968 ha) coverage. Aspen classification maps, derived from remotely sensed digital imagery and ancillary datasets, can offer objective management information to land managers to utilize when planning, implementing, and evaluating aspen restoration activities.Keywords: quaking aspen, sudden aspen decline, Landsat TM, NAIP imagery, succession, GIS You may order additional copies of this publication by sending your mailing information in label form through one of the following media. Please specify the publication title and series number.

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Section: Discussionmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Moderate-scale mapping methods of aspen stand types: a case study for Cedar Mountain in southern Utah

Oukrop¹,

Evans²,

Bartos³

et al. 2011

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“…For Utah, Arizona and Nevada we used data from the Southwest ReGap program [46] to represent developed land use. For California, we extracted the ''urban'' category from the Multisource Land Cover data [47] to represent the footprint of areas to exclude.…”

Section: Solar Energy Development Potentialmentioning

confidence: 99%

An Approach to Enhance the Conservation-Compatibility of Solar Energy Development

Cameron¹,

Cohen²,

Morrison³

2014

Solar Energy

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The rapid pace of climate change poses a major threat to biodiversity. Utility-scale renewable energy development (.1 MW capacity) is a key strategy to reduce greenhouse gas emissions, but development of those facilities also can have adverse effects on biodiversity. Here, we examine the synergy between renewable energy generation goals and those for biodiversity conservation in the 13 M ha Mojave Desert of the southwestern USA. We integrated spatial data on biodiversity conservation value, solar energy potential, and land surface slope angle (a key determinant of development feasibility) and found there to be sufficient area to meet renewable energy goals without developing on lands of relatively high conservation value. Indeed, we found nearly 200,000 ha of lower conservation value land below the most restrictive slope angle (,1%); that area could meet the state of California's current 33% renewable energy goal 1.8 times over. We found over 740,000 ha below the highest slope angle (,5%) -an area that can meet California's renewable energy goal seven times over. Our analysis also suggests that the supply of high quality habitat on private land may be insufficient to mitigate impacts from future solar projects, so enhancing public land management may need to be considered among the options to offset such impacts. Using the approach presented here, planners could reduce development impacts on areas of higher conservation value, and so reduce trade-offs between converting to a green energy economy and conserving biodiversity.

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“…Given the rate of deforestation and loss of biodiversity especially in developing countries through carelessness, poor planning and high level of poverty which has put undue pressure on natural resources, it is practically challenging to attain sustainable development without adequate information on the affected ecosystems (Gladstone and Thomas 1990) and its various components. Geographical Information System and Remote Sensing (GIS/RS) and its capability for modeling has proven to be a very useful tool for large scale mapping of ecosystem and preparation of land cover map (Trisurat, et al 2000, Lu andWeng 2007), using GIS/RS techniques is faster and enable wider geographic coverage within short time frame (USGS/GAP, 2002, Lowry, et al 2005). Good ecosystem mapping has been the basis for identifying species habitat suitability, and framework for resources planning, conservation and managing species at risk (Province of BC 2006).…”

Section: Introductionmentioning

confidence: 99%

Deductive and Multi-criteria Approach to Ecosystem Modeling and Habitat Mapping of Shea Butter Trees (Vitellaria Paradoxa) in the Tropical Savanna

Salako¹,

Sawyerr²,

Bashir³

et al. 2017

IJEAB

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Mapping moderate-scale land-cover over very large geographic areas within a collaborative framework: A case study of the Southwest Regional Gap Analysis Project (SWReGAP)

Cited by 113 publications

References 16 publications

Moderate-scale mapping methods of aspen stand types: a case study for Cedar Mountain in southern Utah

Moderate-scale mapping methods of aspen stand types: a case study for Cedar Mountain in southern Utah

An Approach to Enhance the Conservation-Compatibility of Solar Energy Development

Deductive and Multi-criteria Approach to Ecosystem Modeling and Habitat Mapping of Shea Butter Trees (Vitellaria Paradoxa) in the Tropical Savanna

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