Estimation of Forest Biomass in Beijing (China) Using Multisource Remote Sensing and Forest Inventory Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Estimation of Forest Biomass in Beijing (China) Using Multisource Remote Sensing and Forest Inventory Data
Authors
Keywords
-
Journal
Forests
Volume 11, Issue 2, Pages 163
Publisher
MDPI AG
Online
2020-02-01
DOI
10.3390/f11020163
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Forest Growing Stock Volume Estimation in Subtropical Mountain Areas Using PALSAR-2 L-Band PolSAR Data
- (2019) Haibo Zhang et al. Forests
- Comparing Non-Destructive Methods to Estimate Volume of Three Tree Taxa in Beijing, China
- (2019) Jincheng Liu et al. Forests
- Estimation of Forest Biomass and Carbon Storage in China Based on Forest Resources Inventory Data
- (2019) Lu et al. Forests
- Development of a Tree Growth Difference Equation and Its Application in Forecasting the Biomass Carbon Stocks of Chinese Forests in 2050
- (2019) Hanyue Zhang et al. Forests
- Carbon sequestration potential of forest vegetation in China from 2003 to 2050: Predicting forest vegetation growth based on climate and the environment
- (2019) Zixuan Qiu et al. JOURNAL OF CLEANER PRODUCTION
- The Potential of Multisource Remote Sensing for Mapping the Biomass of a Degraded Amazonian Forest
- (2018) Clément Bourgoin et al. Forests
- Estimating aboveground biomass of broadleaf, needleleaf, and mixed forests in Northeastern China through analysis of 25-m ALOS/PALSAR mosaic data
- (2017) Jun Ma et al. FOREST ECOLOGY AND MANAGEMENT
- An Assessment of Carbon Storage in China’s Arboreal Forests
- (2017) Weiwei Shao et al. Forests
- Using quadratic mean diameter and relative spacing index to enhance height–diameter and crown ratio models fitted to longitudinal data
- (2016) Pradip Saud et al. FORESTRY
- 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
- Developing synergy regression models with space-borne ALOS PALSAR and Landsat TM sensors for retrieving tropical forest biomass
- (2016) Suman Sinha et al. Journal of Earth System Science
- Improved Multi-Sensor Satellite-Based Aboveground Biomass Estimation by Selecting Temporally Stable Forest Inventory Plots Using NDVI Time Series
- (2016) Mikhail Urbazaev et al. Forests
- Forest cover maps of China in 2010 from multiple approaches and data sources: PALSAR, Landsat, MODIS, FRA, and NFI
- (2015) Yuanwei Qin et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Recovery of understory vegetation biomass and biodiversity in burned larch boreal forests in Northeastern China
- (2015) Jun Ma et al. SCANDINAVIAN JOURNAL OF FOREST RESEARCH
- Improved allometric models to estimate the aboveground biomass of tropical trees
- (2014) Jérôme Chave et al. GLOBAL CHANGE BIOLOGY
- An Application of Remote Sensing Data in Mapping Landscape-Level Forest Biomass for Monitoring the Effectiveness of Forest Policies in Northeastern China
- (2013) Xinchuang Wang et al. ENVIRONMENTAL MANAGEMENT
- Generic allometric models including height best estimate forest biomass and carbon stocks in Indonesia
- (2013) Ervan Rutishauser et al. FOREST ECOLOGY AND MANAGEMENT
- TerraSAR-X Stereo Radargrammetry and Airborne Scanning LiDAR Height Metrics in Imputation of Forest Aboveground Biomass and Stem Volume
- (2013) Mikko Vastaranta et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Understanding the relationship between aboveground biomass and ALOS PALSAR data in the forests of Guinea-Bissau (West Africa)
- (2012) João M.B. Carreiras et al. REMOTE SENSING OF ENVIRONMENT
- A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models
- (2011) G Vieilledent et al. ECOLOGICAL APPLICATIONS
- A universal airborne LiDAR approach for tropical forest carbon mapping
- (2011) Gregory P. Asner et al. OECOLOGIA
- Capabilities and limitations of Landsat and land cover data for aboveground woody biomass estimation of Uganda
- (2011) Valerio Avitabile et al. REMOTE SENSING OF ENVIRONMENT
- Prediction of plot-level forest variables using TerraSAR-X stereo SAR data
- (2011) Mika Karjalainen et al. REMOTE SENSING OF ENVIRONMENT
- Improved Biomass Estimation Using the Texture Parameters of Two High-Resolution Optical Sensors
- (2010) Janet E. Nichol et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Detecting Ecosystem Performance Anomalies for Land Management in the Upper Colorado River Basin Using Satellite Observations, Climate Data, and Ecosystem Models
- (2010) Yingxin Gu et al. Remote Sensing
- PALSAR Radiometric and Geometric Calibration
- (2009) M. Shimada et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Estimating aboveground carbon in a catchment of the Siberian forest tundra: Combining satellite imagery and field inventory
- (2008) Hans Fuchs et al. REMOTE SENSING OF ENVIRONMENT
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreFind the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
Search