LaHMa: a landscape heterogeneity mapping method using hyper-temporal datasets

References

• Archer , E.R.M. 2004 . Beyond the ‘climate versus grazing’ impasse: using remote sensing to investigate the effects of grazing system choice on vegetation cover in the eastern Karoo . Journal of Arid Environments , 57 ( 3 ) : 381 – 408 .
   Web of Science ®Google Scholar
• Ball , G.H. and Hall , D.J. 1965 . ISODATA, a novel method of data analysis and classification , Stanford Univerisity .
   Google Scholar
• Benson , B.J. and MacKenzie , M.D. 1995 . Effects of sensor spatial resolution on landscape structure parameters . Landscape Ecology , 10 ( 2 ) : 113 – 120 .
   Web of Science ®Google Scholar
• Bezdek , J.C. and Pal , N.R. 1998 . Some new indexes of cluster validity . IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics , 28 ( 3 ) : 301 – 315 .
   PubMed Web of Science ®Google Scholar
• Boudraa , A.O. 1999 . Dynamic estimation of number of clusters in data sets . Electronics Letters , 35 ( 19 ) : 1606 – 1608 .
   Web of Science ®Google Scholar
• Bouguessa , M. , Wang , S. and Sun , H. 2006 . An objective approach to cluster validation . Pattern Recognition Letters , 27 ( 13 ) : 1419 – 1430 .
   Web of Science ®Google Scholar
• Box , E. 1978 . Geographical dimensions of terrestrial net and gross primary productivity . Radiation and Environmental Biophysics , 15 ( 4 ) : 305 – 322 .
   PubMed Web of Science ®Google Scholar
• Brand , S. and Malthus , T.J. 2004 . Evaluation of AVHRR NDVI for monitoring intra-annual and interannual vegetation dynamics in a cloudy environment (Scotland, UK) . The XXth ISPRS Congress: Geo-imagery bridging continents . July 12–23 2004 , Istanbul , Turkey. Edited by: Altan , O. pp. 477 – 482 .
   Google Scholar
• Budde , M.E . 2004 . Assessing land cover performance in Senegal, West Africa using 1-km integrated NDVI and local variance analysis . Journal of Arid Environments , 59 ( 3 ) : 481 – 498 .
   Web of Science ®Google Scholar
• Campbell , J.B. 1996 . Introduction to remote sensing , 2nd , 622 London : Taylor & Francis .
   Google Scholar
• Canisius , F. , Turral , H. and Molden , D. 2007 . Fourier analysis of historical NOAA time series data to estimate bimodal agriculture . International Journal of Remote Sensing , 28 ( 24 ) : 5503 – 5522 .
   Web of Science ®Google Scholar
• Cayrol , P. 2000 . Grassland modeling and monitoring with SPOT-4 VEGETATION instrument during the 1997–1999 SALSA experiment . Agricultural and Forest Meteorology , 105 ( 1–3 ) : 91 – 115 .
   Web of Science ®Google Scholar
• Chesson , P.L. and Case , T.J. 1986 . “ Overview: nonequilibrium community theories: chance, variability, history and coexistence ” . In Community ecology , Edited by: Diamond , J. and Case , T . 229 – 239 . New York : Harper and Row .
   Google Scholar
• Coppin , P. 2004 . Digital change detection methods in ecosystem monitoring: a review . International Journal of Remote Sensing , 25 ( 9 ) : 1565 – 1596 .
   Web of Science ®Google Scholar
• Davies , D.L. and Bouldin , D.W. 1979 . A cluster separation measure. Pattern analysis and machine intelligence . IEEE Transactions on Pattern Analysis and Machine Intelligence, PAMI , 1 ( 2 ) : 224 – 227 .
   PubMed Web of Science ®Google Scholar
• de Bie , C.A.J.M. Spatial-temporal mapping of agro-ecosystems and the need to build thematic legends . The XXth ISPRS Congress: geo-imagery bridging continents . July 12–23 2004 . Edited by: Altan , O. pp. 1148 – 1154 . Istanbul , , Turkey : ISPRS .
   Google Scholar
• de Bie , C.A.J.M. Hypertemporal image analysis for crop mapping and change detection . The XXIst ISPRS congress: Silk road for information from imagery . July 3–11 2008 . Edited by: Chen , J. , Jiang , J. and van Genderen , J. pp. 803 – 812 . Beijing , , China : ISPRS .
   Google Scholar
• de Bie , C.A.J.M. 2011 . Analysis of multi-temporal SPOT NDVI images for small-scale land-use mapping . International Journal of Remote Sensing , 32 ( 21 ) : 6673 – 6693 .
   Web of Science ®Google Scholar
• Drenge , H.E. and Tucker , C.J. 1988 . Green biomass and rainfall in semi-arid sub-Saharan Africa . Journal of Arid Environments , 15 : 245 – 252 .
   Web of Science ®Google Scholar
• Dubes , R.C. 1987 . How many clusters are best? – An experiment . Pattern Recognition , 20 ( 6 ) : 645 – 663 .
   Web of Science ®Google Scholar
• Eerens , H. 2001 . Crop monitoring and yield forecasting with NOAA-AVHRR or SPOT-Vegetation . Remote Sensing of Environment , 75 : 15 – 20 .
   Google Scholar
• ERDAS . 2003 . ERDAS field guide , 7th , Atlanta , Georgia : Leica Geosystem GIS & Mapping, LCC .
   Google Scholar
• ERDAS . 2009 . ERDAS Field Guide^TM , 824 Norcross , GA : ERDAS Inc .
   Google Scholar
• Ewers , R.M. and Didham , R.K. 2006 . Continuous response functions for quantifying the strength of edge effects . Journal of Applied Ecology , 43 ( 3 ) : 527 – 536 .
   Web of Science ®Google Scholar
• Farina , A. 2006 . “ Emerging patterns in the landscape ” . In Principles and methods in landscape ecology , Edited by: Décamps , H , Tress , B. and Tress , G . 179 – 228 . Dordrecht : Springer .
   Google Scholar
• Fonderflick , J . 2010 . Managing agricultural change for biodiversity conservation in a Mediterranean upland . Biological Conservation , 143 ( 3 ) : 737 – 746 .
   Web of Science ®Google Scholar
• Forman , R.T.T. 1995 . Some general principles of landscape and regional ecology . Landscape Ecology , 10 ( 3 ) : 133 – 142 .
   Web of Science ®Google Scholar
• Gorham B.Mapping multi-temporal agricultural land use in Mississipi Alluvial valley of ArkansasThe spatial technologies in agricultural and natural resources: SRIEG-10 annual conference, 20–21 May Global Hydrology and Climate Centre, Huntsville, USA. 1998 http://srdc.msstate.edu/publications/archive/223.pdf (http://srdc.msstate.edu/publications/archive/223.pdf)
   Google Scholar
• Gosz , J.R. 1992 . Gradient analysis of ecological change in time and space: implications for forest management . Ecological Applications , 2 ( 3 ) : 248 – 261 .
   PubMed Web of Science ®Google Scholar
• Gustafson , E.J. 1998 . Quantifying landscape spatial pattern: what is the state of the art? . Ecosystems , 1 ( 2 ) : 143 – 156 .
   Web of Science ®Google Scholar
• Halkidi , M. , Batistakis , Y. and Vazirgiannis , M. 2001 . On clustering validation techniques . Journal of Intelligent Information Systems , 17 ( 2 ) : 107 – 145 .
   Web of Science ®Google Scholar
• Harper , K.A . 2005 . Edge influence on forest structure and composition in fragmented landscapes . Conservation Biology , 19 ( 3 ) : 768 – 782 .
   Web of Science ®Google Scholar
• Hill , M.J. and Donald , G.E. 2003 . Estimating spatio-temporal patterns of agricultural productivity in fragmented landscapes using AVHRR NDVI time series . Remote Sensing of Environment , 84 ( 3 ) : 367 – 384 .
   Web of Science ®Google Scholar
• Hoekstra , A. 1998 . Generalisation in feed forward neural classifiers. Thesis (PhD) , Delft University of Technology .
   Google Scholar
• Imaz , A . 2002 . Diversity of soil nematodes across a Mediterranean ecotone . Applied Soil Ecology , 20 ( 3 ) : 191 – 198 .
   Web of Science ®Google Scholar
• Jain , A.K. , Murty , M.N. and Flynn , P.J. 1999 . Data clustering: a review . ACM Computing Surveys , 31 ( 3 ) : 264 – 323 .
   Web of Science ®Google Scholar
• Jensen , J.R. 1996 . Introductory digital image processing: a remote sensing perspective , 2nd , 316 London : Prentice-Hall .
   Google Scholar
• Jolliffe , I. 2002 . Principal component analysis , 2nd , New York : Springer Verlag, Ltd . Springer series in Statistics
   Google Scholar
• Justice , C.O . 1985 . Analysis of the phenology of global vegetation using meteorological satellite data . International Journal of Remote Sensing , 6 ( 8 ) : 1271 – 1318 .
   Web of Science ®Google Scholar
• Keddy , P.A. 1991 . “ Working with heterogeneity: an operator's guide to environmental gradients ” . In Ecological heterogeneity , Edited by: Kolasa , J. and Pickett , S.T.A. 181 – 200 . New York : Springer-Verlag .
   Google Scholar
• Kent , M . 1997 . Landscape and plant community boundaries in biogeography . Progress in Physical Geography , 21 ( 3 ) : 315 – 353 .
   Web of Science ®Google Scholar
• Khan , M.R . 2010 . Disaggregating and mapping crop statistics using hypertemporal remote sensing . International Journal of Applied Earth Observation and Geoinformation , 12 ( 1 ) : 36 – 46 .
   Web of Science ®Google Scholar
• Ledwith , M . 2002 . “ Land cover classification using SPOT-Vegetation 10-day composite images – Baltic Sea Catchment basin ” . In GLC2000 Meeting 18 – 22 . Ispra , , Italy April
   Google Scholar
• Lhermitte , S . 2008 . Hierarchical image segmentation based on similarity of NDVI time series . Remote Sensing of Environment , 112 ( 2 ) : 506 – 521 .
   Web of Science ®Google Scholar
• Li , H. and Reynolds , J.F. 1994 . A simulation experiment to quantify spatial heterogeneity in categorical maps . Ecology , 75 ( 8 ) : 2446 – 2455 .
   Web of Science ®Google Scholar
• Lieth , H. and Whittaker , R.H. 1975 . Primary productivity of the biosphere , 339 New York : Springer-Verlag .
   Google Scholar
• MacQueen , J.B. 1967 . “ Some methods for classification and analysis of multivariate observations ” . In The 5th Berkely symposium on mathematical statistics and probability, 21 June–18 July 1965 / 27 December 1965–7 January 1966, Statistical Laboratory of the University of California, Berkeley , Edited by: Cam , L.M. and Neyman , J. 281 – 297 . Los Angeles : University of California Press .
   Google Scholar
• Maggi , M. and Stroppiana , D. 2002 . Advantages and drawbacks of NOAA-AVHRR and SPOT-VGT for burnt area mapping in a tropical savanna ecosystem . Canadian Journal of Remote Sensing , 28 ( 2 ) : 231 – 245 .
   Web of Science ®Google Scholar
• Murakami , T . 2001 . Crop discrimination with multitemporal SPOT/HRV data in the Saga Plains, Japan . International Journal of Remote Sensing , 22 ( 7 ) : 1335 – 1348 .
   Web of Science ®Google Scholar
• Murwira , A. and Skidmore , A.K. 2005 . The response of elephants to the spatial heterogeneity of vegetation in a Southern African agricultural landscape . Landscape Ecology , 20 ( 2 ) : 217 – 234 .
   Web of Science ®Google Scholar
• Nguyen , T.T.H . 2012 . Mapping the irrigated rice cropping patterns of the Mekong delta, Vietnam through hyper-temporal SPOT NDVI image analysis . International Journal of Remote Sensing , 33 ( 2 ) : 415 – 434 .
   Web of Science ®Google Scholar
• NIAPP . 2008 . Ban do su dung dat vung Dong bang song Cuu Long nam 2005 , Ho Chi Minh City , , Vietnam : Vien Quy hoach va Thiet ke Nong nghiep (NIAPP) - MARD .
   Google Scholar
• Piwowar , J.M. and LeDrew , E.F. 1995 . Hypertemporal analysis of remotely sensed sea-ice data for climate change studies . Progress in Physical Geography , 19 ( 2 ) : 216 – 242 .
   Web of Science ®Google Scholar
• Pogue , D.W. and Schnell , G.D. 2001 . Effects of agriculture on habitat complexity in a prairie-forest ecotone in the Southern Great Plains of North America . Agriculture, Ecosystems & Environment , 87 ( 3 ) : 287 – 298 .
   Web of Science ®Google Scholar
• Richards , J.A. and Jia , X. 2006 . Remote sensing digital image analysis: an introduction , 4th , 439 Berlin : Springer-Verlag .
   Google Scholar
• Ringrose , S. , Vanderpost , C. and Matheson , W. 1996 . The use of integrated remotely sensed and GIS data to determine causes of vegetation cover change in southern Botswana . Applied Geography , 16 ( 3 ) : 225 – 242 .
   Web of Science ®Google Scholar
• Saab , D.A. and Haythornthwaite , T.W. 1990s . Application of spatio-temporal database models to street network files . In: Canadian Institute of Surveying and Mapping; Inter-Agency Committee on Geomatics; Surveys, Mapping and Remote Sensing Sector, Eds, Proceedings Natural Conference: The GIS for the . March 5–8 1990s , Ottawa . pp. 1072 – 1085 . Ottawa : Canadian Institute of Surveying and Mapping .
   Google Scholar
• Saab , V. 1999 . Importance of spatial scale to habitat use by breeding birds in riparian forests: a hierarchical analysis . Ecological Applications , 9 ( 1 ) : 135 – 151 .
   Web of Science ®Google Scholar
• Sakamoto , T . 2009 . Agro-ecological interpretation of rice cropping systems in flood-prone areas using MODIS imagery . Photogrammetric Engineering and Remote Sensing , 75 ( 4 ) : 413 – 424 .
   Web of Science ®Google Scholar
• Salvatori , V . 1999 . Estimating temporal independence of radio-telemetry data on animal activity . Journal of Theoretical Biology , 198 ( 4 ) : 567 – 574 .
   PubMed Web of Science ®Google Scholar
• Sarkar , S. and Kafatos , M. 2004 . Interannual variability of vegetation over the Indian sub-continent and its relation to the different meteorological parameters . Remote Sensing of Environment , 90 ( 2 ) : 268 – 280 .
   Web of Science ®Google Scholar
• Schmidt , K.S. and Skidmore , A.K. 2003 . Spectral discrimination of vegetation types in a coastal wetland . Remote Sensing of Environment , 85 ( 1 ) : 92 – 108 .
   Web of Science ®Google Scholar
• Schowengerdt , R.A. 2006 . Remote sensing: models and methods for image processing. e-book , 3rd , 515 San Diego , CA : Academic Press .
   Google Scholar
• Sellers , P.J. 1985 . Canopy reflectance, photosynthesis and transpiration . International Journal of Remote Sensing , 6 ( 8 ) : 1335 – 1372 .
   Web of Science ®Google Scholar
• Skidmore , A.K. and Turner , B.J. 1992 . Map accuracy assessment using line intersect sampling . Photogrammetric Engineering and Remote Sensing , 58 ( 10 ) : 1453 – 1457 .
   Web of Science ®Google Scholar
• Skidmore , A.K . 2010 . Forage quality of savannas – simultaneously mapping foliar protein and polyphenols for trees and grass using hyperspectral imagery . Remote sensing of Environment , 114 ( 1 ) : 64 – 72 .
   Web of Science ®Google Scholar
• Souza , C . 2003 . Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models . Remote Sensing of Environment , 87 ( 4 ) : 494 – 506 .
   Web of Science ®Google Scholar
• Stutheit , J. 1991 . Temporal GIS investigates global change . GIS World , 4 ( 9 ) : 68 – 72 .
   Google Scholar
• Swain , P.H. 1973 . Pattern recognition: a basis for remote sensing data analysis , 40 West Lafayette , Indiana : Laboratory for Applications of Remote Sensing (LARS), Purdue University .
   Google Scholar
• Swain , P.H. 1978 . “ Fundamentals of pattern recognition in remote sensing ” . In Remote sensing: the quantitative approach , Edited by: Swain , P.H. and Davis , S.M. 136 – 185 . New York : McGraw Hill Book Company .
   Google Scholar
• Thomas , I.L . 1987 . Review article a review of multi-channel indices of class separability . International Journal of Remote Sensing , 8 ( 3 ) : 331 – 350 .
   Web of Science ®Google Scholar
• Tso , B. and Mather , P.M. 2001 . Classification methods for remotely sensed data , 332 London : Taylor & Francis .
   Google Scholar
• Tucker , C.J. 1979 . Red and photographic infrared linear combinations for monitoring vegetation . Remote Sensing of Environment , 8 ( 2 ) : 127 – 150 .
   Web of Science ®Google Scholar
• Turner , M.G. , Gardner , R.H. and O'Neill , R.V. 2001 . Landscape ecology in theory and practice: pattern and process , 403 New York : Springer-Verlag .
   Google Scholar
• Uchida , S. 2001 . “ Discrimination of agricultural land use using multi-temporal NDVI data ” . In The 22nd Asian Conference on Remote Sensing, 2001, 5–9 November, Singapore , 813 – 818 . Singapore : Centre of Remote sensing and Processing CRISP .
   Google Scholar
• Unganai , L.S. and Kogan , F.N. 1998 . Drought monitoring and corn yield estimation in Southern Africa from AVHRR data . Remote Sensing of Environment , 63 ( 3 ) : 219 – 232 .
   Web of Science ®Google Scholar
• van der Maarel , E. and Westhoff , V. 1964 . The vegetation of dunes near Oostvoorne, Netherlands . Wentia , 12 : 1 – 61 .
   Google Scholar
• van Leeuwen , C. 1966 . A relation theoretical approach to pattern and process in vegetation . Wentia , 15 : 15 – 32 .
   Google Scholar
• Weiss , J.L . 2004 . Long-term vegetation monitoring with NDVI in a diverse semi-arid setting, central New Mexico, USA . Journal of Arid Environments , 58 ( 2 ) : 249 – 272 .
   Web of Science ®Google Scholar
• White , D.A. and Hood , C.S. 2004 . Vegetation patterns and environmental gradients in tropical dry forests of the northern Yucatan Peninsula . Journal of Vegetation Science , 15 ( 2 ) : 151 – 160 .
   Web of Science ®Google Scholar
• Whittaker , R.H. 1960 . Vegetation of the Siskiyou Mountains, Oregon and California . Ecological Monographs , 30 : 279 – 338 .
   Web of Science ®Google Scholar
• Wiens , J.A. 1989 . Spatial scaling in ecology . Functional Ecology , 3 ( 4 ) : 385 – 397 .
   Web of Science ®Google Scholar
• Wiens , J.A. , Crawford , C.S. and Gosz , J.R. 1985 . Boundary dynamics: a conceptual framework for studying landscape ecosystems . OIKOS , 45 ( 3 ) : 421 – 427 .
   Web of Science ®Google Scholar
• Young , R.K. 1963 . Wavelet theory and its applications , Boston : Kluwer Academic .
   Google Scholar