Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data
出版年份 2020 全文链接
标题
Modeling Forest Aboveground Carbon Density in the Brazilian Amazon with Integration of MODIS and Airborne LiDAR Data
作者
关键词
-
出版物
Remote Sensing
Volume 12, Issue 20, Pages 3330
出版商
MDPI AG
发表日期
2020-10-15
DOI
10.3390/rs12203330
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Stratification-Based Forest Aboveground Biomass Estimation in a Subtropical Region Using Airborne Lidar Data
- (2020) Xiandie Jiang et al. Remote Sensing
- Reconstructing Three Decades of Land Use and Land Cover Changes in Brazilian Biomes with Landsat Archive and Earth Engine
- (2020) Carlos M. Souza et al. Remote Sensing
- Woody Aboveground Biomass Mapping of the Brazilian Savanna with a Multi-Sensor and Machine Learning Approach
- (2020) Polyanna da Conceição Bispo et al. Remote Sensing
- Comment on “Tropical forests are a net carbon source based on aboveground measurements of gain and loss”
- (2019) Matthew C. Hansen et al. SCIENCE
- Forest biomass retrieval approaches from earth observation in different biomes
- (2019) Pedro Rodríguez-Veiga et al. International Journal of Applied Earth Observation and Geoinformation
- Estimating aboveground biomass and forest canopy cover with simulated ICESat-2 data
- (2019) Lana L. Narine et al. REMOTE SENSING OF ENVIRONMENT
- Ground Data are Essential for Biomass Remote Sensing Missions
- (2019) Jérôme Chave et al. SURVEYS IN GEOPHYSICS
- Synergy of ICESat-2 and Landsat for Mapping Forest Aboveground Biomass with Deep Learning
- (2019) Lana L. Narine et al. Remote Sensing
- Forest biomass estimation over three distinct forest types using TanDEM-X InSAR data and simulated GEDI lidar data
- (2019) Wenlu Qi et al. REMOTE SENSING OF ENVIRONMENT
- Monitoring aboveground forest biomass dynamics over three decades using Landsat time-series and single-date inventory data
- (2019) Trung H. Nguyen et al. International Journal of Applied Earth Observation and Geoinformation
- Modeling of Aboveground Biomass with Landsat 8 OLI and Machine Learning in Temperate Forests
- (2019) Pablito M. López-Serrano et al. Forests
- Landsat Time-Series for Estimating Forest Aboveground Biomass and Its Dynamics across Space and Time: A Review
- (2019) Trung H. Nguyen et al. Remote Sensing
- The importance of forest structure for carbon fluxes of the Amazon rainforest
- (2018) Edna Rödig et al. Environmental Research Letters
- Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region
- (2018) Yukun Gao et al. Remote Sensing
- The tropical forest carbon cycle and climate change
- (2018) Edward T. A. Mitchard NATURE
- Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data
- (2018) Yuyun Chen et al. Remote Sensing
- Generalized Hierarchical Model-Based Estimation for Aboveground Biomass Assessment Using GEDI and Landsat Data
- (2018) Svetlana Saarela et al. Remote Sensing
- Improved forest height estimation by fusion of simulated GEDI Lidar data and TanDEM-X InSAR data
- (2018) Wenlu Qi et al. REMOTE SENSING OF ENVIRONMENT
- Biomass estimation in dense tropical forest using multiple information from single-baseline P-band PolInSAR data
- (2018) Zhanmang Liao et al. REMOTE SENSING OF ENVIRONMENT
- Tropical forests are a net carbon source based on aboveground measurements of gain and loss
- (2017) A. Baccini et al. SCIENCE
- Types and rates of forest disturbance in Brazilian Legal Amazon, 2000–2013
- (2017) Alexandra Tyukavina et al. Science Advances
- A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
- (2016) Pablito M. López-Serrano et al. CANADIAN JOURNAL OF REMOTE SENSING
- Aboveground biomass variability across intact and degraded forests in the Brazilian Amazon
- (2016) Marcos Longo et al. GLOBAL BIOGEOCHEMICAL CYCLES
- Forest aboveground biomass estimation in Zhejiang Province using the integration of Landsat TM and ALOS PALSAR data
- (2016) Panpan Zhao et al. International Journal of Applied Earth Observation and Geoinformation
- Random forest in remote sensing: A review of applications and future directions
- (2016) Mariana Belgiu et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Multi-Resolution Mapping and Accuracy Assessment of Forest Carbon Density by Combining Image and Plot Data from a Nested and Clustering Sampling Design
- (2016) Enping Yan et al. Remote Sensing
- Mapping Global Forest Aboveground Biomass with Spaceborne LiDAR, Optical Imagery, and Forest Inventory Data
- (2016) Tianyu Hu et al. Remote Sensing
- Evaluation of Radiometric and Atmospheric Correction Algorithms for Aboveground Forest Biomass Estimation Using Landsat 5 TM Data
- (2016) Pablito López-Serrano et al. Remote Sensing
- Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation
- (2016) Panpan Zhao et al. Remote Sensing
- A Comparison of Machine Learning Techniques Applied to Landsat-5 TM Spectral Data for Biomass Estimation
- (2016) Pablito M. López-Serrano et al. CANADIAN JOURNAL OF REMOTE SENSING
- High spatial resolution land use and land cover mapping of the Brazilian Legal Amazon in 2008 using Landsat-5/TM and MODIS data
- (2016) Cláudio Aparecido de ALMEIDA et al. ACTA AMAZONICA
- Lidar with multi-temporal MODIS provide a means to upscale predictions of forest biomass
- (2015) Le Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- An efficient approach to 3D single tree-crown delineation in LiDAR data
- (2015) Domen Mongus et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Review of the use of remote sensing for biomass estimation to support renewable energy generation
- (2015) Lalit Kumar et al. Journal of Applied Remote Sensing
- Uncertainty of remotely sensed aboveground biomass over an African tropical forest: Propagating errors from trees to plots to pixels
- (2015) Qi Chen et al. REMOTE SENSING OF ENVIRONMENT
- Estimating Forest Biomass Dynamics by Integrating Multi-Temporal Landsat Satellite Images with Ground and Airborne LiDAR Data in the Coal Valley Mine, Alberta, Canada
- (2015) Nasem Badreldin et al. Remote Sensing
- National Forest Aboveground Biomass Mapping from ICESat/GLAS Data and MODIS Imagery in China
- (2015) Hong Chi et al. Remote Sensing
- Mapping attributes of Canada’s forests at moderate resolution through kNN and MODIS imagery
- (2014) A. Beaudoin et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Amazon forest biomass density maps: tackling the uncertainty in carbon emission estimates
- (2014) Jean Pierre Ometto et al. CLIMATIC CHANGE
- Markedly divergent estimates of Amazon forest carbon density from ground plots and satellites
- (2014) Edward T. A. Mitchard et al. GLOBAL ECOLOGY AND BIOGEOGRAPHY
- A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems
- (2014) Dengsheng Lu et al. International Journal of Digital Earth
- Amazonian landscapes and the bias in field studies of forest structure and biomass
- (2014) David C. Marvin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Status and prospects for LiDAR remote sensing of forested ecosystems
- (2013) M.A. Wulder et al. CANADIAN JOURNAL OF REMOTE SENSING
- Improving pantropical forest carbon maps with airborne LiDAR sampling
- (2013) Alessandro Baccini et al. Carbon Management
- A comparative analysis of ALOS PALSAR L-band and RADARSAT-2 C-band data for land-cover classification in a tropical moist region
- (2012) Guiying Li et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Characterization of canopy fuels using ICESat/GLAS data
- (2012) Mariano García et al. REMOTE SENSING OF ENVIRONMENT
- Forest biomass estimation from airborne LiDAR data using machine learning approaches
- (2012) Colin J. Gleason et al. REMOTE SENSING OF ENVIRONMENT
- Integration of airborne lidar and vegetation types derived from aerial photography for mapping aboveground live biomass
- (2012) Qi Chen et al. REMOTE SENSING OF ENVIRONMENT
- Lidar sampling for large-area forest characterization: A review
- (2012) Michael A. Wulder et al. REMOTE SENSING OF ENVIRONMENT
- A meta-analysis of terrestrial aboveground biomass estimation using lidar remote sensing
- (2012) S.G. Zolkos et al. REMOTE SENSING OF ENVIRONMENT
- Estimated carbon dioxide emissions from tropical deforestation improved by carbon-density maps
- (2012) A. Baccini et al. Nature Climate Change
- A Review of Remote Sensing of Forest Biomass and Biofuel: Options for Small-Area Applications
- (2011) Colin J. Gleason et al. GIScience & Remote Sensing
- An assessment of the effectiveness of a random forest classifier for land-cover classification
- (2011) V.F. Rodriguez-Galiano et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Benchmark map of forest carbon stocks in tropical regions across three continents
- (2011) S. S. Saatchi et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors
- (2011) Matthew L. Clark et al. REMOTE SENSING OF ENVIRONMENT
- Effects of Plot Size and Census Interval on Descriptors of Forest Structure and Dynamics
- (2010) Fabien Wagner et al. BIOTROPICA
- Retrieval of forest structural parameters using LiDAR remote sensing
- (2010) Martin van Leeuwen et al. EUROPEAN JOURNAL OF FOREST RESEARCH
- Status and future of laser scanning, synthetic aperture radar and hyperspectral remote sensing data for forest biomass assessment
- (2010) Barbara Koch ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- EU-wide maps of growing stock and above-ground biomass in forests based on remote sensing and field measurements
- (2009) Heinz Gallaun et al. FOREST ECOLOGY AND MANAGEMENT
- Mineral composite assessment of Kelkit River Basin in Turkey by means of remote sensing
- (2009) Hakan Mete Dogan Journal of Earth System Science
- A first map of tropical Africa’s above-ground biomass derived from satellite imagery
- (2008) A Baccini et al. Environmental Research Letters
- Mapping U.S. forest biomass using nationwide forest inventory data and moderate resolution information
- (2007) J BLACKARD et al. REMOTE SENSING OF ENVIRONMENT
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