The potential of remote sensing technology for the detection and mapping of Thaumastocoris peregrinus in plantation forests

References

• Barry , KM , Stone , C and Mohammed , CL . 2008 . Crown-scale evaluation of spectral indices for defoliated and discoloured eucalypts . International Journal of Remote Sensing , 29 : 47 – 69 .
   Web of Science ®Google Scholar
• Bentz BJ , Endreson D 2003 . Evaluating satellite imagery for estimating mountain pine beetle-caused lodgepole pine mortality: current status . In: Shore TL Brooks JE Stone JE , Proceedings of the Mountain Pine Beetle Symposium: Challenges and Solutions, 30–31 October 2003, Kelowna, British Columbia. Information Report BC-X-399 . Victoria : Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre . pp 154 – 163 .
   Google Scholar
• Blackburn , GA . 2007 . Hyperspectral remote sensing of plant pigments . Journal of Experimental Botany , 58 : 855 – 867 .
   PubMed Web of Science ®Google Scholar
• Bonneau , LR , Shields , KS and Civco , DL . 1999 . A technique to identify changes in hemlock forest health over space and time using satellite image data . Biological Invasions , 1 : 269 – 279 .
   Google Scholar
• Button , G . 2007 . Thaumastocoris peregrinus. Forestry Facts 2007-04 , Pietermaritzburg : NCT Forestry Co-operative .
   Google Scholar
• Carpintero , DL and Dellape , PM . 2006 . A new species of Thaumastocoris Kirkaldy from Argentina (Heteroptera: Thaumastocoridae: Thaumastocorinae) . Zootaxa , 1228 : 61 – 68 .
   Web of Science ®Google Scholar
• Carter , GA . 1993 . Responses of leaf spectral reflectance to plant stress . American Journal of Botany , 80 : 239 – 243 .
   Web of Science ®Google Scholar
• Carter , GA and Knapp , AK . 2001 . Leaf optical properties in higher plants: linking spectral characteristics to stress and chlorophyll concentration . American Journal of Botany , 88 : 667 – 684 .
   PubMed Web of Science ®Google Scholar
• Carter , GA and Miller , RL . 1994 . Early detection of plant stress by digital imaging within narrow stress-sensitive wavebands . Remote Sensing of Environment , 50 : 295 – 302 .
   Web of Science ®Google Scholar
• Ceccato , P , Flasse , S , Tarantola , S , Jacquemoud , S and Gregoire , J . 2001 . Detecting vegetation leaf water content using reflectance in the optical domain . Remote Sensing of Environment , 77 : 22 – 33 .
   Web of Science ®Google Scholar
• Ciesla , WM . 2000 . Remote sensing in forest health protection. FHTET Report no. 00-03 , Fort Collins : US Department of Agriculture, Forest Service .
   Google Scholar
• Coops , NC , Johnson , M , Wulder , MA and White , JC . 2006 . Assessment of Quickbird high spatial resolution imagery to detect red attack damage due to mountain pine beetle infestation . Remote Sensing of Environment , 103 : 67 – 80 .
   Web of Science ®Google Scholar
• Coops , N , Stanford , M , Old , K , Dudzinski , M , Culvenor , D and Stone , C . 2003 . Assessment of Dothistroma needle blight of Pinus radiata using airborne hyperspectral imagery . Phytopathology , 93 : 1524 – 1532 .
   PubMed Web of Science ®Google Scholar
• Coops , NC , Stone , C , Culvenor , DS and Chisholm , L . 2004 . Assessment of crown condition in eucalypt vegetation by remotely sensed optical indices . Journal of Environmental Quality , 33 : 956 – 964 .
   PubMed Web of Science ®Google Scholar
• Datt , B . 1999 . Remote sensing of water content in Eucalyptus leaves . Australian Journal of Botany , 47 : 909 – 923 .
   Web of Science ®Google Scholar
• Dawson , TP and Curran , PJ . 1998 . A new technique for interpolating red edge position . International Journal of Remote Sensing , 19 : 2133 – 2139 .
   Web of Science ®Google Scholar
• Dye , M , Mutanga , O and Ismail , R . 2008 . Detecting the severity of woodwasp, Sirex noctilio, infestation in a pine plantation in KwaZulu-Natal, South Africa, using texture measures calculated from high spatial resolution imagery . African Entomology , 16 : 263 – 275 .
   Web of Science ®Google Scholar
• Ekstrand , S . 1994 . Assessment of forest damage with Landsat TM: correction for varying forest stand characteristics . Remote Sensing of Environment , 47 : 291 – 302 .
   Web of Science ®Google Scholar
• Entcheva Campbell , PK , Rock , BN , Martin , ME , Neefus , CD , Irons , JR , Middleton , EM and Albrechtova , J . 2004 . Detection of initial damage in Norway spruce canopies using hyperspectral airborne data . International Journal of Remote Sensing , 25 : 5557 – 5583 .
   Web of Science ®Google Scholar
• FAO (Food and Agriculture Organization of the United Nations) . 2007 . Overview of Forest Pests . Rome : FAO .
   Google Scholar
• Filella , I and Penuelas , J . 1994 . The red edge position and shape as indicators of plant chlorophyll content, biomass and hydric status . International Journal of Remote Sensing , 15 : 1459 – 1470 .
   Web of Science ®Google Scholar
• Franklin , SE , Waringg , RH , McCreight , RW , Cohen , WB and Fiorella , M . 1995 . Aerial and satellite sensor detection and classification of western spruce budworm defoliation in a subalpine forest . Canadian Journal of Remote Sensing , 21 : 299 – 308 .
   Google Scholar
• Fraser , RH and Lativofic , R . 2005 . Mapping insect-induced tree defoliation and mortality using coarse spatial resolution satellite imagery . International Journal of Remote Sensing , 26 : 193 – 200 .
   Web of Science ®Google Scholar
• Hoque , E , Hutzler , PJS and Hiendl , H . 1992 . Reflectance, colour, and histological features as parameters for the early assessment of forest damages . Canadian Journal of Remote Sensing , 18 : 104 – 110 .
   Google Scholar
• Ismail R 2009 . Remote sensing of forest health: the detection and mapping of Pinus patula trees infested by Sirex noctilio . PhD thesis, University of KwaZulu-Natal, Pietermaritzburg, South Africa .
   Google Scholar
• Ismail , R , Mutanga , O and Ahmed , F . 2008 . “ Discriminating Sirex noctilio attack in pine forest plantations in South Africa using high spectral resolution data ” . In Hyperspectral Remote Sensing of Tropical and Sub-tropical Forests , Edited by: Kalácska , M and Sánchez-Azofeifa , G-A . 350 Boca Raton : CRC Press .
   Google Scholar
• Ismail , R , Mutanga , O and Bob , U . 2007 . Forest health and vitality: the detection and monitoring of Pinus patula trees infected by Sirex noctilio using digital multispectral imagery . Southern Hemisphere Forestry Journal , 69 : 39 – 47 .
   Web of Science ®Google Scholar
• Jacobs , DH and Neser , S . 2005 . Thaumastocoris australicus Kirkaldy (Heteroptera: Thaumastocoridae): a new insect arrival in South Africa, damaging to Eucalyptus trees . South African Journal of Science , 101 : 233 – 236 .
   Web of Science ®Google Scholar
• Landgrebe , D . 1999 . “ Some fundamentals and methods for hyperspectral image data analysis ” . In Systems and Technologies for Clinical Diagnostics and Drug Discovery II. Proceedings of SPIE , Edited by: Cohn , G and Owicki , JC . Vol. 3603 , 104 – 113 . Bellingham, Washington : SPIE Press .
   Google Scholar
• Lawrence , R and Labus , M . 2003 . Early detection of Douglas-fir beetle infestation with subcanopy resolution hyperspectral imagery . Western Journal of Applied Forestry , 18 : 1 – 5 .
   Google Scholar
• Macomber , SA and Woodcock , CE . 1994 . Mapping and monitoring conifer mortality using remote sensing in the Lake Tahoe Basin . Remote Sensing of Environment , 50 : 255 – 256 .
   Web of Science ®Google Scholar
• Mutanga O 2004 . Hyperspectral remote sensing of tropical grass quality and quantity . PhD thesis , Wageningen University , The Netherlands .
   Google Scholar
• Nadel , RL . 2007 . Thaumastocoris: the solution . Wood Southern Africa and Timber Times , 32 ( 5 ) : 10 – 11 .
   Google Scholar
• Nadel , R 2008 . TPCP pamphlets . Available at http://www.fabinet.up.ac.za/tpcp/pamphlets/pdf/Thaumastocoris%20symptoms%20photos.pdf [accessed 4 January 2010] .
   Google Scholar
• Nadel RL , Slippers B , Scholes MC , Wingfield MJ 2007 . Distribution and population structure of the bronze bug, Thaumastocoris peregrinus in South African Eucalyptus plantations . Paper presented at the IUFRO Working Group 2.08.03 conference ‘Eucalypts and Diversity: Balancing Productivity and Sustainability’, 22–26 October 2007, Durban .
   Google Scholar
• Oumar , Z and Mutanga , O . 2010 . Predicting plant water content in Eucalyptus grandis forest stands in KwaZulu-Natal, South Africa using field spectra resampled to the Sumbandila Satellite Sensor . International Journal of Applied Earth Observation and Geoinformation , 12 : 158 – 164 .
   Web of Science ®Google Scholar
• Pontius J , Martin M , Plourde L , Hallet R 2005 . Using hyperspectral technologies to map hemlock decline: pre-visual decline assessment for early infestation detection . In: Onken B, Reardon R (compilers), Third Symposium on Hemlock Woolly Adelgid in the Eastern United States, Asheville, North Carolina, 1–3 February 2005. FHTET-2005-01 . Morgantown : US Department of Agriculture, Forest Service . pp 73 – 86 .
   Google Scholar
• Pu , R , Kelly , M , Anderson , GL and Gong , P . 2008 . Using CASI hyperspectral imagery to detect mortality and vegetation stress associated with a new hardwood forest disease . Photogrammetric Engineering and Remote Sensing , 74 : 65 – 75 .
   Web of Science ®Google Scholar
• Radeloff , VC , Mladenoff , DJ and Boyce , MS . 1999 . Detecting jack pine budworm defoliation using spectral mixture analysis: separating effects from determinants . Remote Sensing of Environment , 69 : 156 – 169 .
   Web of Science ®Google Scholar
• Schmidt K 2003 . Hyperspectral remote sensing of vegetation species distribution in a saltmarsh . PhD thesis, Wageningen University, The Netherlands .
   Google Scholar
• Scholes , B and Annamalai , L . 2006 . CSIR imaging expertise propels SA to a science high . ScienceScope , 1 ( 5 ) : 19 – 21 .
   Google Scholar
• Stone , C , Chisholm , L and Coops , N . 2001 . Spectral reflectance characteristics of eucalypt foliage damaged by insects . Australian Journal of Botany , 49 : 687 – 698 .
   Web of Science ®Google Scholar
• Stone , C and Coops , N . 2004 . Assessment and monitoring of damage from insects in Australian eucalypt forests and commercial plantations . Australian Journal of Entomology , 43 : 283 – 292 .
   Web of Science ®Google Scholar
• TPCP (Tree Protection Co-operative Programme) . 2007 . An update on Thaumastocoris research in South Africa . Tree Protection News 13 : 6 – 7 .
   Google Scholar
• TPCP . 2008a . Thaumastocoris peregrinus (TPCP) monitoring trial . Tree Protection News 15 : 13 – 14 .
   Google Scholar
• TPCP . 2008b . Towards understanding and controlling Thaumastocoris peregrinus , Tree Protection News 16 : 16 – 17 .
   Google Scholar
• White , JC , Wulder , MA , Brooks , D , Reich , R and Wheate , RD . 2005 . Detection of red attack stage mountain pine beetle infestation with high spatial resolution satellite imagery . Remote Sensing of Environment , 96 : 340 – 351 .
   Web of Science ®Google Scholar
• Zarco-Tejada , PJ , Miller , JR , Mohammed , GH , Noland , TL and Sampson , PH . 2002 . Vegetation stress detection through chlorophyll a+b estimation and fluorescence effects on hyperspectral imagery . Journal of Environmental Quality , 31 : 1433 – 1441 .
   PubMed Web of Science ®Google Scholar