Landscape-Scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data
出版年份 2018 全文链接
标题
Landscape-Scale Aboveground Biomass Estimation in Buffer Zone Community Forests of Central Nepal: Coupling In Situ Measurements with Landsat 8 Satellite Data
作者
关键词
-
出版物
Remote Sensing
Volume 10, Issue 11, Pages 1848
出版商
MDPI AG
发表日期
2018-11-22
DOI
10.3390/rs10111848
参考文献
相关参考文献
注意:仅列出部分参考文献,下载原文获取全部文献信息。- Mapping boreal forest biomass from a SRTM and TanDEM-X based on canopy height model and Landsat spectral indices
- (2018) Yaser Sadeghi et al. International Journal of Applied Earth Observation and Geoinformation
- Remote Sensing of Above-Ground Biomass
- (2017) Lalit Kumar et al. Remote Sensing
- Comparison and Evaluation of Three Methods for Estimating Forest above Ground Biomass Using TM and GLAS Data
- (2017) Kaili Liu et al. Remote Sensing
- Estimating Forest Aboveground Biomass by Combining Optical and SAR Data: A Case Study in Genhe, Inner Mongolia, China
- (2016) Zhenfeng Shao et al. SENSORS
- A random forest guided tour
- (2016) Gérard Biau et al. TEST
- Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation
- (2016) Panpan Zhao et al. Remote Sensing
- A random forest guided tour
- (2016) Gérard Biau et al. TEST
- Consistency of random forests
- (2015) Erwan Scornet et al. ANNALS OF STATISTICS
- Integration of WorldView-2 and airborne LiDAR data for tree species level carbon stock mapping in Kayar Khola watershed, Nepal
- (2015) Yogendra K. Karna et al. International Journal of Applied Earth Observation and Geoinformation
- Investigating the robustness of the new Landsat-8 Operational Land Imager derived texture metrics in estimating plantation forest aboveground biomass in resource constrained areas
- (2015) Timothy Dube et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Evaluating the utility of the medium-spatial resolution Landsat 8 multispectral sensor in quantifying aboveground biomass in uMgeni catchment, South Africa
- (2015) Timothy Dube et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Application of topo-edaphic factors and remotely sensed vegetation indices to enhance biomass estimation in a heterogeneous landscape in the Eastern Arc Mountains of Tanzania
- (2015) Mercy Ojoyi et al. Geocarto International
- Mapping Tree Canopy Cover and Aboveground Biomass in Sudano-Sahelian Woodlands Using Landsat 8 and Random Forest
- (2015) Martin Karlson et al. Remote Sensing
- Building Predictive Models inRUsing thecaretPackage
- (2015) Max Kuhn Journal of Statistical Software
- Estimating standing biomass in papyrus (Cyperus papyrus L.) swamp: exploratory of in situ hyperspectral indices and random forest regression
- (2014) Elhadi Adam et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Effect of field plot location on estimating tropical forest above-ground biomass in Nepal using airborne laser scanning data
- (2014) Parvez Rana et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Importance of sample size, data type and prediction method for remote sensing-based estimations of aboveground forest biomass
- (2014) F.E. Fassnacht et al. REMOTE SENSING OF ENVIRONMENT
- Intra-and-Inter Species Biomass Prediction in a Plantation Forest: Testing the Utility of High Spatial Resolution Spaceborne Multispectral RapidEye Sensor and Advanced Machine Learning Algorithms
- (2014) Timothy Dube et al. SENSORS
- Leveraging EO-1 to Evaluate Capability of New Generation of Landsat Sensors for Coastal/Inland Water Studies
- (2013) Nima Pahlevan et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Toward structural assessment of semi-arid African savannahs and woodlands: The potential of multitemporal polarimetric RADARSAT-2 fine beam images
- (2013) Renaud Mathieu et al. REMOTE SENSING OF ENVIRONMENT
- High density biomass estimation for wetland vegetation using WorldView-2 imagery and random forest regression algorithm
- (2012) Onisimo Mutanga et al. International Journal of Applied Earth Observation and Geoinformation
- The next Landsat satellite: The Landsat Data Continuity Mission
- (2012) James R. Irons et al. REMOTE SENSING OF ENVIRONMENT
- Utilizing a Multi-Source Forest Inventory Technique, MODIS Data and Landsat TM Images in the Production of Forest Cover and Volume Maps for the Terai Physiographic Zone in Nepal
- (2012) Eero Muinonen et al. Remote Sensing
- Random forests ensemble classifier trained with data resampling strategy to improve cardiac arrhythmia diagnosis
- (2011) Akin Özçift COMPUTERS IN BIOLOGY AND MEDICINE
- Discriminating the papyrus vegetation (Cyperus papyrus L.) and its co-existent species using random forest and hyperspectral data resampled to HYMAP
- (2011) E. M. Adam et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
- Estimation of tropical rain forest aboveground biomass with small-footprint lidar and hyperspectral sensors
- (2011) Matthew L. Clark et al. REMOTE SENSING OF ENVIRONMENT
- Examining the utility of random forest and AISA Eagle hyperspectral image data to predictPinus patulaage in KwaZulu-Natal, South Africa
- (2011) Michelle Dye et al. Geocarto International
- Non-parametric prediction and mapping of standing timber volume and biomass in a temperate forest: application of multiple optical/LiDAR-derived predictors
- (2010) H. Latifi et al. FORESTRY
- Mining data with random forests: A survey and results of new tests
- (2010) A. Verikas et al. PATTERN RECOGNITION
- Variable selection using random forests
- (2010) Robin Genuer et al. PATTERN RECOGNITION LETTERS
- Variable Importance Assessment in Regression: Linear Regression versus Random Forest
- (2009) Ulrike Grömping AMERICAN STATISTICIAN
- A comparison of regression tree ensembles: Predicting Sirex noctilio induced water stress in Pinus patula forests of KwaZulu-Natal, South Africa
- (2009) R. Ismail et al. International Journal of Applied Earth Observation and Geoinformation
- Estimating aboveground biomass of grassland having a high canopy cover: an exploratory analysis of in situ hyperspectral data
- (2009) Jin Chen et al. INTERNATIONAL JOURNAL OF REMOTE SENSING
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now