Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery

Laba, Magdeline; Downs, Roger; Smith, Stephen D.; Welsh, Sabrina; Neider, Chuck; White, Susan; Richmond, Milo E.; Philpot, William; Baveye, Philippe C.

doi:10.1016/j.rse.2007.05.003

Cited by 110 publications

(66 citation statements)

References 26 publications

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“…Landsat sensor data have been the traditional choice [42], owing to the wide geographic coverage, temporal depth of the archive, and, since 2008, the availability of the data at no charge to users. Practitioners of wetland mapping also have used multispectral data of higher spatial resolution to map wetlands (e.g., [50,51]). Alternatively, data of high temporal resolution, though low spatial resolution, have enabled better opportunity for cloud-free monitoring of seasonal wetland dynamics across large geographic extents (e.g., [52]).…”

Section: Past Approaches To Remote Sensing Of Wetlandsmentioning

confidence: 99%

The Challenges of Remote Monitoring of Wetlands

2015

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Wetlands are highly productive and support a wide variety of ecosystem goods and services. Various forms of global change impose compelling needs for timely and reliable information on the status of wetlands worldwide, but several characteristics of wetlands make them challenging to monitor remotely: they lack a single, unifying land-cover feature; they tend to be highly dynamic and their energy signatures are constantly changing; and steep environmental gradients in and around wetlands produce narrow ecotones that often are below the resolving capacity of remote sensors. These challenges and needs set the context for a special issue focused on wetland remote sensing. Contributed papers responded to one of three overarching questions aimed at improving remote, large-area monitoring of wetlands: (1) What approaches and data products are being developed specifically to support regional to global long-term monitoring of wetland landscapes? (2) What are the promising new technologies and sensor/multisensor approaches for more accurate and consistent detection of wetlands? (3) Are there studies that demonstrate how remote long-term monitoring of wetland landscapes can reveal changes that correspond with changes in land cover and land use and/or changes in climate?

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Section: Past Approaches To Remote Sensing Of Wetlandsmentioning

confidence: 99%

The Challenges of Remote Monitoring of Wetlands

2015

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“…finer-than the monitored object, to provide an effective tradeoff between within-object and between-object variance (Nagendra 2001). Some of the best performing studies in alien and invasive species detection are based on fine resolution data, either aerial (Dorigo et al 2012;Shouse et al 2013;Artigas and Pechmann 2010;Hantson et al 2012;Clark and Roberts 2012;Colgan et al 2012) or satellite (Laba et al 2008;Walsh et al 2008;Immitzer et al 2012). Dorigo et al (2012) extracted a bi-temporal band ratio (BTBR) and a number of Haralick texture features from bi-seasonal digital orthophotos and successfully detected Fallopia japonica, one of the world's worst invasive alien species, with up to 90.3% PA and 98.1% UA.…”

Section: Plant Speciesmentioning

confidence: 99%

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

2015

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Recognizing the imperative need for biodiversity protection, the Convention on Biological Diversity (CBD) has recently established new targets towards 2020, the so-called Aichi targets, and updated proposed sets of indicators to quantitatively monitor the progress towards these targets. Remote sensing has been increasingly contributing to timely, accurate, and cost-effective assessment of biodiversity-related characteristics and functions during the last years. However, most relevant studies constitute individual research efforts, rarely related with the extraction of widely adopted CBD biodiversity indicators. Furthermore, systematic operational use of remote sensing data by managing authorities has still been limited. In this study, the Aichi targets and the related CBD indicators whose monitoring can be facilitated by remote sensing are identified. For each headline indicator a number of recent remote sensing approaches able for the extraction of related properties are reviewed. Methods cover a wide range of fields, including: habitat extent and condition monitoring; species distribution; pressures from unsustainable management, pollution and climate change; ecosystem service monitoring; and conservation status assessment of protected areas. The advantages and limitations of different remote sensing data and algorithms are discussed. Sorting of the methods based on their reported accuracies is attempted, when possible. The extensive literature survey aims at reviewing highly performing methods that can be used for large-area, effective, and timely biodiversity assessment, to encourage the more systematic use of remote sensing solutions in monitoring progress towards the Aichi targets, and to decrease the gaps between the remote sensing and management communities.

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“…However, in wetlands, difficult access limits the collection of classical botanical data, and airborne [20][21][22][23][24] or satellite imaging [25][26][27] is widely used for monitoring [28]. In addition to classical aerial photography, the potential of multispectral and hyperspectral methods for vegetation classification and mapping has also proved successful in many surveys [13,26,27,[29][30][31][32].…”

Section: Passive Remote Sensing Of Wetland Vegetationmentioning

confidence: 99%

Categorizing Wetland Vegetation by Airborne Laser Scanning on Lake Balaton and Kis-Balaton, Hungary

et al. 2012

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Outlining patches dominated by different plants in wetland vegetation provides information on species succession, microhabitat patterns, wetland health and ecosystem services. Aerial photogrammetry and hyperspectral imaging are the usual data acquisition methods but the application of airborne laser scanning (ALS) as a standalone tool also holds promises for this field since it can be used to quantify 3-dimensional vegetation structure. Lake Balaton is a large shallow lake in western Hungary with shore wetlands that have been in decline since the 1970s. In August 2010, an ALS survey of the shores of Lake Balaton was completed with 1 pt/m 2 discrete echo recording. The resulting ALS dataset was processed to several output rasters describing vegetation and terrain properties, creating a sufficient number of independent variables for each raster cell to allow for basic multivariate classification. An expert-generated decision tree algorithm was applied to outline wetland areas, and within these, patches dominated by Typha sp. Carex sp., and Phragmites australis. Reed health was mapped into four categories: healthy, stressed, ruderal and die-back. The output map was tested against a set of 775 geo-tagged ground photographs and had a user's accuracy of >97% for detecting non-wetland features (trees, artificial surfaces and low density Scirpus stands), >72% for dominant genus detection and >80% for most reed health categories (with 62% for one category). Overall classification OPEN ACCESSRemote Sens. 2012, 4 1618 accuracy was 82.5%, Cohen's Kappa 0.80, which is similar to some hyperspectral or multispectral-ALS fusion studies. Compared to hyperspectral imaging, the processing chain of ALS can be automated in a similar way but relies directly on differences in vegetation structure and actively sensed reflectance and is thus probably more robust. The data acquisition parameters are similar to the national surveys of several European countries, suggesting that these existing datasets could be used for vegetation mapping and monitoring.

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Mapping invasive wetland plants in the Hudson River National Estuarine Research Reserve using quickbird satellite imagery

Cited by 110 publications

References 26 publications

The Challenges of Remote Monitoring of Wetlands

The Challenges of Remote Monitoring of Wetlands

Remote sensing for biodiversity monitoring: a review of methods for biodiversity indicator extraction and assessment of progress towards international targets

Categorizing Wetland Vegetation by Airborne Laser Scanning on Lake Balaton and Kis-Balaton, Hungary

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