XXII ISPRS Congress 2012: Technical Commission VIII

Shortis, M.; Shimoda, H.; Cho, K.

Bibliographic data

Multivolume work

Persistent identifier:: 1663813779

Title:: XXII ISPRS Congress 2012

Sub title:: Melbourne, Australia, 25 August-1 September 2012

Year of publication:: 2013

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663813779

Language:: English

Additional Notes:: Kongress-Thema: Imaging a sustainable future

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Document type:: Multivolume work

Volume

Persistent identifier:: 1663822514

Title:: Technical Commission VIII

Scope:: 590 Seiten

Year of publication:: 2014

Place of publication:: Red Hook, NY

Publisher of the original:: Curran Associates, Inc.

Identifier (digital):: 1663822514

Illustration:: Illustrationen, Diagramme

Signature of the source:: ZS 312(39,B8)

Language:: English

Additional Notes:: Erscheinungsdatum des Originals ist ermittelt.; Literaturangaben

Usage licence:: Attribution 4.0 International (CC BY 4.0)

Editor:: Shortis, M.; Shimoda, H.; Cho, K.

Corporations:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Adapter:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Founder of work:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Other corporate:: International Society for Photogrammetry and Remote Sensing, Congress, 22., 2012, Melbourne; International Society for Photogrammetry and Remote Sensing

Publisher of the digital copy:: Technische Informationsbibliothek Hannover

Place of publication of the digital copy:: Hannover

Year of publication of the original:: 2019

Document type:: Volume

Collection:: Earth sciences

Chapter

Title:: [VIII/6: Agriculture, Ecosystems and Bio-Diversity]

Document type:: Multivolume work

Structure type:: Chapter

Chapter

Title:: PLANT SPECIES MONITORING IN THE CANARY ISLANDS USING WORLDVIEW-2 IMAGERY L. Nunez-Casillas, F. Micand, B. Somers, P. Brito, M. Arbelo

Document type:: Multivolume work

Structure type:: Chapter

-B8, 2012 ity, and growth ound-based and ullewa, Western oisture was well /Sis using the stage. This also ated by the PLS lent rate and ash ression analysis ige. To sum up, elopment of the ity, and growth grain filling and accuracy will be 10ds. It is also )e examined in t, "The 2009 and e Fundamental izations,' of the nter (ERSDAC). [an C Lau at the rch Organization niel Carter at the estern Australia ly and airborne ..S., Takeda, T, wheat growth data in western onal Geoscience p. 3338-3341. fano, M., 2008. for estimating a canopy scale urements in rice. pp. 156-172. nal visible, near- ies in relation to mote Sensing of International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B8, 2012 XXII ISPRS Congress, 25 August — 01 September 2012, Melbourne, Australia PLANT SPECIES MONITORING IN THE CANARY ISLANDS USING WORLDVIEW-2 IMAGERY L. Nunez-Casillas * *, F. Micand*, B. Somers?, P. Brito^, M. Arbelo* * Grupo de Observación de la Tierra y la Atmósfera (GOTA), Universidad de la Laguna, 38206 La Laguna, Tenerife, Spain - (Inunez, marbelo) @ull.es b Flemish Institute for Technological Research (VITO), Centre for Remote Sensing and Earth Observation Processes (TAP), Boeretang 200, BE-2400 Mol, Belgium - ben.somers @ vito.be ¢ Departamento de Biologia Vegetal, Universidad de la Laguna 38206 La Laguna, Tenerife, Spain - pbrito@ull.es KEY WORDS: Forestry; Monitoring; Detection; Multispectral ABSTRACT: The physical and climatic features of a relatively small volcanic island such as Tenerife (Canary Islands, Spain) cause increased difficulties to vegetation monitoring by means of moderate resolution satellite data. The use of multispectral very high resolution WorldView-2 (WV2) imagery provides promising perspectives for vegetation mapping in such a heterogeneous landscape. In order to assess its potential to estimate the cover fraction of dominant plant species in endemic Macaronesian laurel forests and heathlands, a hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) was performed within a study area where different patches from mature forest, to degraded forest and pine plantations can be found. First, a selection of pure pixels in the WV2 image for fern, Morella faya Ait., Laurus novocanariensis and the introduced species Pinus radiata were used to build a spectral library for each species. Last species Erica arborea L. was characterized in field by means of an ASD FieldSpec spectroradiometer, due to the rarity of pure pixels in this case, and to the simultaneous presence of two spectral subclasses depending on its flowering onset; WV2-adjusted spectral signatures from field reflectances were estimated by empirical calibration. Preliminary results showed a good separation of degraded from mature native forests and from plantations, although pine cover fraction is, in general, underestimated. The second MESMA cycle was useful to tell between most similar species, like in case of M. faya and L. novocanariensis. 1. INTRODUCTION In Tenerife (Canary Islands) native monteverde forests are subtropical ecosystems as part of the Macaronesian region, at present a hotspot of biodiversity. They comprise endemic laurel forests and heathlands, where Morella faya (Ait.) Wilbur usually constitutes the tree cover of Myrico fayae-Ericetum arboreae communities in association with Erica arborea L. and other plant species (del Arco Aguilar, 2010). Both species are present in laurel forest Ixantho-Laurion azoricae, a more complex ecosystem, where several different tree species, like Laurus novocanariensis (Rivas-Martínez et al., 2002) are abundant. Native and foreign species of pine have historically been introduced in some areas. The environment in the study region is a challenge for detailed monitoring of plant species distribution, due to its very high orographic heterogeneity and vegetation cover density. The recently launched WorldView-2 (WV-2) satellite, partially conceived for applications in precision agriculture and natural resources monitoring, provides spectral information in 8 spectral bands: the 4 most common spectral regions (red, blue, green, near-IR) and 4 new bands (red edge, coastal, yellow and near-infrared 2) (Updike and Comp, 2010). Splitting the NIR region for more information and adding the narrow Red Edge band beyond the Red band, highly increases the sensitivity of this sensor compared to other multispectral sensors in vegetation monitoring. Spectral Mixture Analysis (SMA) (Adams et al., 1993; Roberts et al., 1993; Settle and Drake, 1993) is commonly used for species detection and mapping in heterogeneous ecosystems (Schmidt and Skidmore, 2003; Somers et al, 2009; Youngentob et al., 2011). The high degree of similarity among plant species from the study area would make preferable the use of hyperspectral rather than multispectral data. However, the lack of hyperspectral data, either from air- or space-borne sensors other than 30-m Hyperion data, in a study region with very high spatial heterogeneity, impel us to seek for alternative approaches. Here, the potential of a hierarchical Multiple Endmember Spectral Mixture Analysis (MESMA) (Roberts et al, 1998; Franke et al., 2009), in combination with WV2 imagery is explored, in order to map plant species distribution in this complex ecosystem. MESMA is a modification of simple SMA — where each pixel spectrum is modeled as a sum of weighted “pure spectra” or endmembers corresponding to their different proportions within the pixel (Adams et al., 1993; Roberts et al., 1993; Settle and Drake, 1993) — that allows a per-pixel variation of the number and types of endmembers. Finally, consecutive MESMA cycles will allow us to better discriminate between species with highest degree of similarity. * Corresponding author. This is useful to know for communication with the appropriate person in cases with more than one author.

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