Exploring Bamboo Forest Aboveground Biomass Estimation Using Sentinel-2 Data

Comparative Analysis of Modeling Algorithms for Forest Aboveground Biomass Estimation in a Subtropical Region

(2018) Yukun Gao et al.   Remote Sensing

Improving Accuracy Estimation of Forest Aboveground Biomass Based on Incorporation of ALOS-2 PALSAR-2 and Sentinel-2A Imagery and Machine Learning: A Case Study of the Hyrcanian Forest Area (Iran)

(2018) Sasan Vafaei et al.   Remote Sensing

Examining effective use of data sources and modeling algorithms for improving biomass estimation in a moist tropical forest of the Brazilian Amazon

(2017) Yunyun Feng et al.   International Journal of Digital Earth

Biomass estimation of Sonneratia caseolaris (l.) Engler at a coastal area of Hai Phong city (Vietnam) using ALOS-2 PALSAR imagery and GIS-based multi-layer perceptron neural networks

(2016) Tien Dat Pham et al.   GIScience & Remote Sensing

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

Multi-criteria evaluation of topographic correction methods

(2016) Ion Sola et al.   REMOTE SENSING OF ENVIRONMENT

Examining Spectral Reflectance Saturation in Landsat Imagery and Corresponding Solutions to Improve Forest Aboveground Biomass Estimation

(2016) Panpan Zhao et al.   Remote Sensing

Culm height development, biomass accumulation and carbon storage in an initial growth stage for a fast-growing moso bamboo (Phyllostachy pubescens)

(2016) Tian-Ming Yen   Botanical Studies

Managing woody bamboos for carbon farming and carbon trading

(2015) Arun Jyoti Nath et al.   Global Ecology and Conservation

A survey of remote sensing-based aboveground biomass estimation methods in forest ecosystems

(2014) Dengsheng Lu et al.   International Journal of Digital Earth

The roles of textural images in improving land-cover classification in the Brazilian Amazon

(2014) Dengsheng Lu et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Airborne multi-temporal L-band polarimetric SAR data for biomass estimation in semi-arid forests

(2014) Mihai A. Tanase et al.   REMOTE SENSING OF ENVIRONMENT

Spatiotemporal heterogeneity of Moso bamboo aboveground carbon storage with Landsat Thematic Mapper images: a case study from Anji County, China

(2013) Ning Han et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

Estimating Aboveground Carbon of Moso Bamboo Forests Using the k Nearest Neighbors Technique and Satellite Imagery

(2013) Guomo Zhou et al.   PHOTOGRAMMETRIC ENGINEERING AND REMOTE SENSING

Using Landsat-derived disturbance and recovery history and lidar to map forest biomass dynamics

(2013) Dirk Pflugmacher et al.   REMOTE SENSING OF ENVIRONMENT

Review of Carbon Fixation in Bamboo Forests in China

(2011) Guomo Zhou et al.   BOTANICAL REVIEW

Application of a Random Forest algorithm to predict spatial distribution of the potential yield of Ruditapes philippinarum in the Venice lagoon, Italy

(2011) Simone Vincenzi et al.   ECOLOGICAL MODELLING

Carbon sequestration by Chinese bamboo forests and their ecological benefits: assessment of potential, problems, and future challenges

(2011) Xinzhang Song et al.   ENVIRONMENTAL REVIEWS

Satellite-based carbon stock estimation for bamboo forest with a non-linear partial least square regression technique

(2011) Huaqiang Du et al.   INTERNATIONAL JOURNAL OF REMOTE SENSING

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

Upgrade of three municipal wastewater treatment lagoons using a high surface area media

(2011) John Wang et al.   Frontiers of Environmental Science & Engineering

Assessing the Accuracy of Remotely Sensed Data: Principles and Practices

(2010) G. Foody   PHOTOGRAMMETRIC RECORD

Nonlinear hierarchical models for predicting cover crop biomass using Normalized Difference Vegetation Index

(2010) Juan David Muñoz et al.   REMOTE SENSING OF ENVIRONMENT

A first map of tropical Africa’s above-ground biomass derived from satellite imagery

(2008) A Baccini et al.   Environmental Research Letters