Mapping Species Composition of Forests and Tree Plantations in Northeastern Costa Rica with an Integration of Hyperspectral and Multitemporal Landsat Imagery

Fagan, Matthew E.; DeFries, Ruth; Sesnie, Steven E.; Arroyo‐Mora, J. Pablo; Soto, Carlomagno; Singh, Aditya; Townsend, Philip A.; Chazdon, Robin L.

doi:10.3390/rs70505660

Cited by 65 publications

(58 citation statements)

References 120 publications

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“…This limitation highlights a need for global spatial data on agroforestry, which currently do not exist, and for better remote sensing products generally that discriminate between new forest types. Although some techniques exist to identify changing forest types over time (Fagan et al 2015), they have been applied only at relatively small scales. Combining satellite-based indicators of ecological function with census statistics on land use and human population, or with participatory remote sensing methods, are potential avenues to yield a more rigorous classification of forest types .…”

Section: Discussionmentioning

confidence: 99%

Forest ecosystem-service transitions: the ecological dimensions of the forest transition

Wilson¹,

Schelhas²,

Grau³

et al. 2017

E&S

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ABSTRACT. New forests are expanding around the world. In many regions, regrowth rates are surpassing deforestation rates, resulting in "forest transitions," or net gains in forest cover. Typically measured only in terms of aggregate"'forest cover" change, these new forests are ecologically distinct from each other and from those originally cleared. We ask, what are the ecological attributes, goods, and services we might expect from different pathways of forest recovery? To address this question, we proposed a typology of forest transitions that reflects both their social drivers and ecological outcomes: tree plantation, spontaneous regeneration, and agroforestry transitions. Using case studies, we illustrate how the ecological outcomes of each transition type differ and change over time. We mapped the global distribution of forest-transition types to identify global epicenters of each, and found that spontaneous transitions are most common globally, especially in Latin America; agroforestry transitions predominate in Europe and Central America; and plantation transitions occur in parts of Europe and Asia. We proposed a conceptual framework to understand and compare the ecological services arising from different types of forest transitions over time: forest ecosystem-service transition curves. This framework illustrates that carbon sequestration tends to be comparatively lower in agroforestry transitions, and biodiversity recovery is lower in industrial plantations. Spontaneously regenerating forests tend to have relatively high biodiversity and biomass but provide fewer provisioning and economically valuable services. This framework captures the dynamism that we observe in forest transitions, thus illustrating that different social drivers produce different types of ecosystem-service transitions, and that as secondary forests grow, these services will change over time at rates that differ among transition types. Ultimately, this framework can guide future research, describe actual and potential changes in ecosystem services associated with different types of transitions, and promote management plans that incorporate forest cover changes with the services and benefits they provide.

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Section: Discussionmentioning

confidence: 99%

Forest ecosystem-service transitions: the ecological dimensions of the forest transition

Wilson¹,

Schelhas²,

Grau³

et al. 2017

E&S

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“…This is a particular challenge in monsoon areas of Southeast Asia, where variation can be especially high among natural forest types in their physical structure and seasonal patterns of canopy cover [5]. Several studies have established that local floristic differences in tropical forest can be effectively mapped using medium-resolution multi-spectral imagery such as Landsat, typically in combination with topographic data [17][18][19][20][21]. However, increasing the variability within forest classes or the amount of spectral overlap between classes represents a considerable challenge to accurate discrimination of forest types [22].…”

Section: Mapping Of Forest Types and Degradation Extentmentioning

confidence: 99%

Mapping Distinct Forest Types Improves Overall Forest Identification Based on Multi-Spectral Landsat Imagery for Myanmar’s Tanintharyi Region

Connette

Oswald²,

Songer

et al. 2016

Remote Sensing

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Abstract:We investigated the use of multi-spectral Landsat OLI imagery for delineating mangrove, lowland evergreen, upland evergreen and mixed deciduous forest types in Myanmar's Tanintharyi Region and estimated the extent of degraded forest for each unique forest type. We mapped a total of 16 natural and human land use classes using both a Random Forest algorithm and a multivariate Gaussian model while considering scenarios with all natural forest classes grouped into a single intact or degraded category. Overall, classification accuracy increased for the multivariate Gaussian model with the partitioning of intact and degraded forest into separate forest cover classes but slightly decreased based on the Random Forest classifier. Natural forest cover was estimated to be 80.7% of total area in Tanintharyi. The most prevalent forest types are upland evergreen forest (42.3% of area) and lowland evergreen forest (21.6%). However, while just 27.1% of upland evergreen forest was classified as degraded (on the basis of canopy cover <80%), 66.0% of mangrove forest and 47.5% of the region's biologically-rich lowland evergreen forest were classified as degraded. This information on the current status of Tanintharyi's unique forest ecosystems and patterns of human land use is critical to effective conservation strategies and land-use planning.

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“…Several studies have conducted mapping of forest distribution and extraction of the species composition by applying remote sensing mounted on satellites and unmanned aerial vehicles (UAVs) [2]. The obvious advantage of satellite remote sensing is its capability in monitoring vegetation condition and forest resources over a large-scale area in a fast and cost-effective manner [3]. For instance, satellite remote sensing data has been approved effective in mapping the outline of a forest area in order to monitor the deforestation [4].…”

Section: Introductionmentioning

confidence: 99%

Detection of Firmiana danxiaensis Canopies by a Customized Imaging System Mounted on an UAV Platform

Liu

Zhuo

et al. 2018

Journal of Sensors

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The objective of this study was to test the effectiveness of mapping the canopies of Firmiana danxiaensis (FD), a rare and endangered plant species in China, from remotely sensed images acquired by a customized imaging system mounted on an unmanned aerial vehicle (UAV). The work was conducted in an experiment site (approximately 10 km 2 ) at the foot of Danxia Mountain in Guangdong Province, China. The study was conducted as an experimental task for a to-be-launched large-scale FD surveying on Danxia Mountain (about 200 km 2 in area) by remote sensing on UAV platforms. First, field-based spectra were collected through hand-held hyperspectral spectroradiometer and then analyzed to help design a classification schema which was capable of differentiating the targeted plant species in the study site. Second, remote-sensed images for the experiment site were acquired and calibrated through a variety of preprocessing steps. Orthoimages and a digital surface model (DSM) were generated as input data from the calibrated UAV images. The spectra and geometry features were used to segment the preprocessed UAV imagery into homogeneous patches. Lastly, a hierarchical classification, combined with a support vector machine (SVM), was proposed to identify FD canopies from the segmented patches. The effectiveness of the classification was evaluated by on-site GPS recordings. The result illustrated that the proposed hierarchical classification schema with a SVM classifier on the remote sensing imagery collected by the imaging system on UAV provided a promising method for mapping of the spatial distribution of the FD canopies, which serves as a replacement for field surveys in the attempt to realize a wide-scale plant survey by the local governments.

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Mapping Species Composition of Forests and Tree Plantations in Northeastern Costa Rica with an Integration of Hyperspectral and Multitemporal Landsat Imagery

Cited by 65 publications

References 120 publications

Forest ecosystem-service transitions: the ecological dimensions of the forest transition

Forest ecosystem-service transitions: the ecological dimensions of the forest transition

Mapping Distinct Forest Types Improves Overall Forest Identification Based on Multi-Spectral Landsat Imagery for Myanmar’s Tanintharyi Region

Detection of Firmiana danxiaensis Canopies by a Customized Imaging System Mounted on an UAV Platform

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