Characterizing 25 years of change in the area, distribution, and carbon stock of Mediterranean pines in Central Spain
暂无分享,去创建一个
Joanne C. White | Cristina Gómez | Fernando Montes | M. Wulder | J. White | J. A. Delgado | C. Gómez | F. Montes | MichaelA. Wulder | José A. Delgado | Cristina Gómez | J. Delgado
[1] E. Odum. The strategy of ecosystem development. , 1969, Science.
[2] R. Kauth,et al. The tasselled cap - A graphic description of the spectral-temporal development of agricultural crops as seen by Landsat , 1976 .
[3] Eric P. Crist,et al. A Physically-Based Transformation of Thematic Mapper Data---The TM Tasseled Cap , 1984, IEEE Transactions on Geoscience and Remote Sensing.
[4] E. Crist. A TM Tasseled Cap equivalent transformation for reflectance factor data , 1985 .
[5] P. Chavez. An improved dark-object subtraction technique for atmospheric scattering correction of multispectral data , 1988 .
[6] Tiit Nilson,et al. Successional reflectance trajectories in northern temperate forests , 1993 .
[7] W. Cohen,et al. Estimating the age and structure of forests in a multi-ownership landscape of western Oregon, U.S.A. , 1995 .
[8] M. Steininger. Tropical secondary forest regrowth in the Amazon: age, area and change estimation with Thematic Mapper data , 1996 .
[9] Xavier Pons,et al. On the applicability of Landsat TM images to Mediterranean forest inventories , 1998 .
[10] W. Cohen,et al. An efficient and accurate method for mapping forest clearcuts in the Pacific Northwest using Landsat imagery , 1998 .
[11] K. Price,et al. Spectral retrogression and insect damage in lodgepole pine successional forests , 1998 .
[12] Russell G. Congalton,et al. Assessing the accuracy of remotely sensed data : principles and practices , 1998 .
[13] Knut Conradsen,et al. Multivariate Alteration Detection (MAD) and MAF Postprocessing in Multispectral, Bitemporal Image Data: New Approaches to Change Detection Studies , 1998 .
[14] Fabio Maselli,et al. Integration of High and Low Resolution NDVI Data for Monitoring Vegetation in Mediterranean Environments , 1998 .
[15] Michael G. Ryan,et al. Seasonal and annual respiration of a ponderosa pine ecosystem , 1999 .
[16] Arno Schäpe,et al. Multiresolution Segmentation : an optimization approach for high quality multi-scale image segmentation , 2000 .
[17] W. Cohen,et al. Mapping montane tropical forest successional stage and land use with multi-date Landsat imagery , 2000 .
[18] Christian Wirth,et al. Managing Forests After Kyoto , 2000, Science.
[19] R. Mittermeier,et al. Biodiversity hotspots for conservation priorities , 2000, Nature.
[20] M. Heimann,et al. Climate change. Managing forests after Kyoto. , 2000, Science.
[21] C. Woodcock,et al. Classification and Change Detection Using Landsat TM Data: When and How to Correct Atmospheric Effects? , 2001 .
[22] C. Tucker,et al. A large carbon sink in the woody biomass of Northern forests , 2001, Proceedings of the National Academy of Sciences of the United States of America.
[23] R. Congalton. Accuracy assessment and validation of remotely sensed and other spatial information , 2001 .
[24] W. Cohen,et al. Modelling forest cover attributes as continuous variables in a regional context with Thematic Mapper data , 2001 .
[25] R. Sanz,et al. Actualización del mapa forestal de España , 2001 .
[26] Steven E. Franklin,et al. Forest Structure Classification in the North Columbia Mountains Using the Landsat TM Tasseled Cap Wetness Component , 2001 .
[27] S. Sader,et al. Detection of forest harvest type using multiple dates of Landsat TM imagery , 2002 .
[28] Michael A. Wulder,et al. Spatial and spectral variability due to Landsat image acquisition date: the impact on image classification , 2002, IEEE International Geoscience and Remote Sensing Symposium.
[29] Limin Yang,et al. Derivation of a tasselled cap transformation based on Landsat 7 at-satellite reflectance , 2002 .
[30] Sandra A. Brown. Measuring carbon in forests: current status and future challenges. , 2002, Environmental pollution.
[31] C. Burnett,et al. A multi-scale segmentation/object relationship modelling methodology for landscape analysis , 2003 .
[32] B. Xu,et al. Remote Sensing of Forests Over Time , 2003 .
[33] Geoff Smith,et al. The characterisation and measurement of land cover change through remote sensing: problems in operational applications? , 2003 .
[34] Omar Masera,et al. Modeling carbon sequestration in afforestation, agroforestry and forest management projects: the CO2FIX V.2 approach , 2003 .
[35] Richard A. Houghton,et al. Why are estimates of the terrestrial carbon balance so different? , 2003 .
[36] Iolanda Filella,et al. Reflectance assessment of seasonal and annual changes in biomass and CO2 uptake of a Mediterranean shrubland submitted to experimental warming and drought , 2004 .
[37] David M. Johnson,et al. Impacts of imagery temporal frequency on land-cover change detection monitoring , 2004 .
[38] F. Maselli. Monitoring forest conditions in a protected Mediterranean coastal area by the analysis of multiyear NDVI data , 2004 .
[39] M. Canty,et al. Automatic radiometric normalization of multitemporal satellite imagery , 2004 .
[40] Limin Yang,et al. Development of a 2001 National land-cover database for the United States , 2004 .
[41] D. Lu,et al. Change detection techniques , 2004 .
[42] Pol Coppin,et al. Review ArticleDigital change detection methods in ecosystem monitoring: a review , 2004 .
[43] L. Croitoru,et al. Valuing Mediterranean Forests: Towards Total Economic Value , 2005 .
[44] R. V. Bombín. El mapa forestal de España escala 1:50.000 (MFE50) como base del tercer inventario forestal nacional , 2005 .
[45] R. Houghton,et al. Aboveground Forest Biomass and the Global Carbon Balance , 2005 .
[46] R. Calama,et al. Cone and seed production from stone pine (Pinus pinea L.) stands in Central Range (Spain) , 2006, European Journal of Forest Research.
[47] G. Hay,et al. An automated object-based approach for the multiscale image segmentation of forest scenes , 2005 .
[48] C. Blodgett,et al. USING THE TASSELED CAP TRANSFORMATION TO IDENTIFY CHANGE IN THE MISSOURI OZARK FORESTS , 2005 .
[49] Suming Jin,et al. Comparison of time series tasseled cap wetness and the normalized difference moisture index in detecting forest disturbances , 2005 .
[50] Achim Röder,et al. Extension of retrospective datasets using multiple sensors. An approach to radiometric intercalibration of Landsat TM and MSS data , 2005 .
[51] W. Cohen,et al. Comparison of Tasseled Cap-based Landsat data structures for use in forest disturbance detection , 2005 .
[52] Conghe Song,et al. Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon , 2006 .
[53] Scott J. Goetz,et al. Using satellite time-series data sets to analyze fire disturbance and forest recovery across Canada , 2006 .
[54] Sean P. Healey,et al. Application of two regression-based methods to estimate the effects of partial harvest on forest structure using Landsat data , 2006 .
[55] Nicholas C. Coops,et al. Estimating the probability of mountain pine beetle red-attack damage , 2006 .
[56] S. Merino-de-Miguel,et al. Forest biomass estimation through NDVI composites. The role of remotely sensed data to assess Spanish forests as carbon sinks , 2006 .
[57] Warren B. Cohen,et al. Spatial, spectral and temporal patterns of tropical forest cover change as observed with multiple scales of optical satellite data , 2007 .
[58] Warren B. Cohen,et al. Trajectory-based change detection for automated characterization of forest disturbance dynamics , 2007 .
[59] T. Tsujimori,et al. Balancing the Global Carbon Budget , 2007 .
[60] F. Bravo,et al. Carbon sequestration in Spanish Mediterranean forests under two management alternatives: a modeling approach , 2008, European Journal of Forest Research.
[61] F. Achard,et al. Pan-tropical monitoring of deforestation , 2007 .
[62] J. Swenson,et al. Reference scenarios for deforestation and forest degradation in support of REDD: a review of data and methods , 2008 .
[63] N. Coops,et al. Impact of sun-surface-sensor geometry upon multitemporal high spatial resolution satellite imagery , 2008 .
[64] N. Coops,et al. Multitemporal remote sensing of landscape dynamics and pattern change: describing natural and anthropogenic trends , 2008 .
[65] Nicholas C. Coops,et al. Application of Landsat satellite imagery to monitor land‐cover changes at the Athabasca Oil Sands, Alberta, Canada , 2008 .
[66] Achim Röder,et al. Using long time series of Landsat data to monitor fire events and post-fire dynamics and identify driving factors. A case study in the Ayora region (eastern Spain) , 2008 .
[67] Scott L. Powell,et al. Forest Disturbance and North American Carbon Flux , 2008 .
[68] Fernando Pérez-Cabello,et al. Assessment of radiometric correction techniques in analyzing vegetation variability and change using time series of Landsat images , 2008 .
[69] Martha C. Anderson,et al. Free Access to Landsat Imagery , 2008, Science.
[70] Michael A. Wulder,et al. Landsat continuity: Issues and opportunities for land cover monitoring , 2008 .
[71] N. Coops,et al. Estimation of insect infestation dynamics using a temporal sequence of Landsat data , 2008 .
[72] J. Vogelmann,et al. Monitoring forest changes in the southwestern United States using multitemporal Landsat data , 2009 .
[73] B. Markham,et al. Summary of Current Radiometric Calibration Coefficients for Landsat MSS, TM, ETM+, and EO-1 ALI Sensors , 2009 .
[74] Corinne Le Quéré,et al. Trends in the sources and sinks of carbon dioxide , 2009 .
[75] Clayton C. Kingdon,et al. Spatial pattern analysis for monitoring protected areas , 2009 .
[76] Håkan Olsson,et al. A method for using Landsat time series for monitoring young plantations in boreal forests , 2009 .
[77] Giles M. Foody,et al. The impact of imperfect ground reference data on the accuracy of land cover change estimation , 2009 .
[78] S. Goward,et al. Dynamics of national forests assessed using the Landsat record: Case studies in eastern United States , 2009 .
[79] F. Del Frate,et al. Use of multitemporal SAR data for monitoring vegetation recovery of Mediterranean burned areas , 2009 .
[80] Zhiqiang Yang,et al. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 1. LandTrendr — Temporal segmentation algorithms , 2010 .
[81] Kenneth B. Pierce,et al. Quantification of live aboveground forest biomass dynamics with Landsat time-series and field inventory data: A comparison of empirical modeling approaches , 2010 .
[82] Warren B. Cohen,et al. Implications of Alternative Field-Sampling Designs on Landsat-Based Mapping of Stand Age and Carbon Stocks in Oregon Forests , 2010, Forest Science.
[83] Rob J Hyndman,et al. Detecting trend and seasonal changes in satellite image time series , 2010 .
[84] Warren B. Cohen,et al. Detecting trends in forest disturbance and recovery using yearly Landsat time series: 2. TimeSync — Tools for calibration and validation , 2010 .
[85] F. Bravo,et al. Long-term implications of traditional forest regulation methods applied to Maritime pine (Pinus pinaster Ait.) forests in central Spain: a century of management plans , 2010 .
[86] C. Witte,et al. Comparison of geo-object based and pixel-based change detection of riparian environments using high spatial resolution multi-spectral imagery. , 2010 .
[87] Michael A. Wulder,et al. Characterizing the state and processes of change in a dynamic forest environment using hierarchical spatio-temporal segmentation , 2011 .
[88] Scott L. Powell,et al. Validation of North American Forest Disturbance dynamics derived from Landsat time series stacks , 2011 .
[89] Patrick Hostert,et al. Differences in Landsat-based trend analyses in drylands due to the choice of vegetation estimate , 2011 .
[90] David P. Roy,et al. Continuity of Landsat observations: Short term considerations , 2011 .
[91] Gordon B. Stenhouse,et al. A history of habitat dynamics: Characterizing 35 years of stand replacing disturbance , 2011 .
[92] M. Hansen,et al. Regional-scale boreal forest cover and change mapping using Landsat data composites for European Russia , 2011 .