Feature Level Fusion of Multi-Temporal ALOS PALSAR and Landsat Data for Mapping and Monitoring of Tropical Deforestation and Forest Degradation
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Jan Verbesselt | Dirk H. Hoekman | Martin Herold | Johannes Reiche | Carlos M. Souza | Haimwant Persaud | M. Herold | J. Verbesselt | C. Souza | D. Hoekman | J. Reiche | H. Persaud
[2] Zhe Zhu,et al. Object-based cloud and cloud shadow detection in Landsat imagery , 2012 .
[3] D. Roberts,et al. Combining spectral and spatial information to map canopy damage from selective logging and forest fires , 2005 .
[4] Johanne M. Pelletier,et al. Diagnosing the uncertainty and detectability of emission reductions for REDD + under current capabilities: an example for Panama , 2011 .
[5] M. Keller,et al. CANOPY DAMAGE AND RECOVERY AFTER SELECTIVE LOGGING IN AMAZONIA: FIELD AND SATELLITE STUDIES , 2004 .
[6] Dirk H. Hoekman,et al. PALSAR Wide-Area Mapping of Borneo: Methodology and Map Validation , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[7] Masanobu Shimada,et al. Advanced Land Observing Satellite (ALOS) and Monitoring Global Environmental Change , 2010, Proceedings of the IEEE.
[8] Shaun Quegan,et al. Iterated multi-channel filtering of SAR images , 2000, IGARSS 2000. IEEE 2000 International Geoscience and Remote Sensing Symposium. Taking the Pulse of the Planet: The Role of Remote Sensing in Managing the Environment. Proceedings (Cat. No.00CH37120).
[9] Lorraine Remer,et al. The MODIS 2.1-μm channel-correlation with visible reflectance for use in remote sensing of aerosol , 1997, IEEE Trans. Geosci. Remote. Sens..
[10] R. B. Jackson,et al. A Large and Persistent Carbon Sink in the World’s Forests , 2011, Science.
[11] Björn Waske,et al. Classifying Multilevel Imagery From SAR and Optical Sensors by Decision Fusion , 2008, IEEE Transactions on Geoscience and Remote Sensing.
[12] D. Sheil,et al. Tropical Rain Forest Ecology, Diversity, and Conservation , 2010 .
[13] D. Skole,et al. Assessment of tropical forest degradation by selective logging and fire using Landsat imagery , 2010 .
[14] A. Meyer. Economics Of Climate Change , 1995, Nature.
[15] Tatiana Mora Kuplich,et al. Classifying regenerating forest stages in Amazônia using remotely sensed images and a neural network , 2006 .
[16] Masanobu Shimada,et al. PALSAR Radiometric and Geometric Calibration , 2007, IEEE Transactions on Geoscience and Remote Sensing.
[17] Josef Kellndorfer,et al. Large-Area Classification and Mapping of Forest and Land Cover in the Brazilian Amazon: A Comparative Analysis of ALOS/PALSAR and Landsat Data Sources , 2010, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[18] I. Woodhouse,et al. Quantifying small‐scale deforestation and forest degradation in African woodlands using radar imagery , 2012 .
[19] R. B. Jackson,et al. CO 2 emissions from forest loss , 2009 .
[20] Yrjö Rauste,et al. Forest cover mapping in French Guiana since 1992 using satellite radar imagery , 2009 .
[21] M. Keller,et al. Selective Logging in the Brazilian Amazon , 2005, Science.
[22] Ruth S. DeFries,et al. Earth observations for estimating greenhouse gas emissions from deforestation in developing countries , 2007 .
[23] Soo Chin Liew,et al. Deforestation monitoring in tropical regions using multitemporal ERS/JERS SAR and INSAR data , 1997, IGARSS'97. 1997 IEEE International Geoscience and Remote Sensing Symposium Proceedings. Remote Sensing - A Scientific Vision for Sustainable Development.
[24] Shaun Quegan,et al. Filtering of multichannel SAR images , 2001, IEEE Trans. Geosci. Remote. Sens..
[25] Christine Pohl,et al. Multisensor image fusion in remote sensing: concepts, methods and applications , 1998 .
[26] Danilo Mollicone,et al. CASE STUDIES ON MEASURING AND ASSESSING FOREST DEGRADATION INTEGRATING FOREST TRANSECTS AND REMOTE SENSING DATA TO QUANTIFY CARBON LOSS DUE TO FOREST DEGRADATION IN THE BRAZILIAN AMAZON , 2009 .
[27] Martin Herold,et al. Measurement, reporting and verification for REDD+: objectives, capacities and institutions , 2009 .
[28] Yosio Edemir Shimabukuro,et al. Using dual‐polarized ALOS PALSAR data for detecting new fronts of deforestation in the Brazilian Amazônia , 2009 .
[29] Yosio Edemir Shimabukuro,et al. Detecting deforestation with multitemporal L‐band SAR imagery: a case study in western Brazilian Amazônia , 2007 .
[30] André Twele,et al. Regional land cover mapping in the humid tropics using combined optical and SAR satellite data—a case study from Central Sulawesi, Indonesia , 2009 .
[31] Gregory P. Asner,et al. Painting the world REDD: addressing scientific barriers to monitoring emissions from tropical forests , 2011 .
[32] J. D. Wegner,et al. FUSION OF OPTICAL AND INSAR FEATURES FOR BUILDING RECOGNITION IN URBAN AREAS , 2009 .
[33] Sassan Saatchi,et al. The use of decision tree and multiscale texture for classification of JERS-1 SAR data over tropical forest , 2000, IEEE Trans. Geosci. Remote. Sens..
[34] GAMMA SAR AND INTERFEROMETRIC PROCESSING SOFTWARE , 2000 .
[35] Martin J. Clifford. Pork knocking in the land of many waters: Artisanal and small-scale mining (ASM) in Guyana , 2011 .
[36] J. Canadell,et al. Tropical Forests and Climate Policy , 2007, Science.
[37] Russell G. Congalton,et al. A review of assessing the accuracy of classifications of remotely sensed data , 1991 .
[38] Giles M. Foody,et al. Status of land cover classification accuracy assessment , 2002 .
[39] D. Roberts,et al. Mapping forest degradation in the Eastern Amazon from SPOT 4 through spectral mixture models , 2003 .
[40] M. J. Carlotto. Reducing the effects of space-varying wavelength-dependent scattering in multispectral imagery , 1996, IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium.
[41] F. Putz,et al. Approaches to classifying and restoring degraded tropical forests for the anticipated REDD+ climate change mitigation mechanism , 2011 .
[42] John B. Adams,et al. Classification of multispectral images based on fractions of endmembers: Application to land-cover change in the Brazilian Amazon , 1995 .
[43] Lammert Kooistra,et al. Assessing capacities of non-Annex I countries for national forest monitoring in the context of REDD+ , 2012 .
[44] O. Dam. Forest filled with gaps : effects of gap size on water and nutrient cycling in tropical rain forest : a study in Guyana , 2001 .
[45] Eric A. Lehmann,et al. Forest Discrimination Analysis of Combined Landsat TM and ALOS-PALSAR Data , 2011 .
[46] Albert Rango,et al. International Journal of Applied Earth Observation and Geoinformation a Comparison of Three Feature Selection Methods for Object-based Classification of Sub-decimeter Resolution Ultracam-l Imagery , 2022 .
[47] Eric A. Lehmann,et al. Joint Processing of Landsat and ALOS-PALSAR Data for Forest Mapping and Monitoring , 2012, IEEE Transactions on Geoscience and Remote Sensing.
[48] Philippe Bolon,et al. Statistical and operational performance assessment of multitemporal SAR image filtering , 2003, IEEE Trans. Geosci. Remote. Sens..
[49] Danilo Mollicone,et al. Options for sampling and stratification for national forest inventories to implement REDD+ under the UNFCCC , 2010, Carbon balance and management.
[50] J. Susaki,et al. MULTI-TEMPORAL SAR AND OPTICAL DATA FUSION WITH TEXTURE MEASURES FOR LAND COVER CLASSIFICATION BASED ON THE BAYESIAN THEORY , 2001 .
[51] Yoshinari Oguro,et al. A comparative study of coherence patterns in C-band and L-band interferometric SAR from tropical rain forest areas , 2002 .
[52] Weidong Li,et al. Gaps‐fill of SLC‐off Landsat ETM+ satellite image using a geostatistical approach , 2007 .