XXII ISPRS Congress 2012: Technical Commission VIII

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

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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

(IX-B8, 2012 owered (average) reen (average) 831 908 lowered (average) reen (average) ctra from Erica action in WV2 ent phenological ents: Given its , it was difficult only with ASD empirically by :cies where both 1g a conversion oefficients were ation method to vas used to mask Only pixels with unmixing cycles ree endmember nsis -because of ey were fused the pixels with a of M. faya + L. cycle allowed us ce species in the a. 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 3. RESULTS Preliminary results show remarkable distinction between well- conserved and degraded monteverde forest (figure 3a). However, subsequent MESMA cycles were needed to separate very similar species, like M. faya and L. novocanariensis (figure 3b). Figure 3. Results obtained from MESMA. Colored images represent combinations of three endmembers corresponding to species or group of species used in the analysis; each color intensity correlates to the cover fraction of the species. a) mesmal: M. faya + L. novocanariensis (RED), E. arborea (GREEN) and fern-herbaceous (BLUE). b) mesma2: M. faya (RED), L. novocanariensis (GREEN) and P.radiata (BLUE). c) Shade fractions estimates, darker cells corresponding to lower proportion of shade. Total Sc Endmember distribution Q2 Q3 area (ha) p ; 1 t 88.9 536 | 070 | 0.86 3 2 (Erica) 54.5 132 018 | 033 3 (fern/herb.) 31.5 3.8 0.08 | 0.15 « | 1 (Morella) 28.3 18.5 0.67 | 0.86 E 2 (Laurus) 22.8 8.2 031 | 051 s 3 (Pinus) 122 33 0.19 | 0.37 Table 2. Overall species distribution areas obtained after mesmal and mesma2. The total distribution area is derived from the total number of cells where the species were detected, whereas the actual cover area takes into account the species cover fraction in each cell as well. Q2 and Q3 correspond to the 50" and 75" percentile respectively. Endmember Mature Degraded Pine forest forest plantation à ur qe 0.62 0.09 0.57 : 2 (Erica) 0.23 0.01 0.11 3 (fern/herb.) 0.09 0 0.07 a | | (Morella) 0.12 - 0.04 0.14 E 2 (Laurus) 0.03 0.14 0.11 E 3 (Pinus) 0.04 0.02 0.04 Table 3. Cover fractions derived from MESMA grouped by the three main vegetation covers in the study area: mature forest, degraded forest and pine plantations. The table 2 shows the total species distribution area obtained for each species in the entire study area after mesmal and mesma2. Although E. arborea seems more spread than M. faya (it is found in a greater number of cells), if we take into account the sub-pixel cover fraction, the second one has a greater total cover area. Less abundant species were found to be L. novocanariensis, fern/herbaceous and P. radiata, by decreasing order. Percentiles 50" (Q2) and 75" (Q3) give an idea of overall pixel purity distribution. The degree of pixel purity appears to be particularly high in M. faya with respect to the rest. MESMA was less sensitive to pines than expected, although the remarkably higher proportion of shade in their presence made it easier to map them (figure 3c) Mesmal showed, in mature and degraded natural forests a mean shade fraction estimate of 0.13 and 0.11 respectively, whereas in pine plantations the mean shade fraction increased to 0.24, being above 0.6 in a 10% of the plantation area. Even though the dominant tree species in plantation areas of the study region is P. radiata, the presence of P. canariensis (for which no spectral signatures were available) could have contributed to the underestimation of pine cover fraction. E. arborea,

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