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Praveen Kumar, Akhouri P. Krishna, Thorkild M. Rasmussen and Mahendra K. Pal
Optical remote sensing data are freely available on a global scale. However, the satellite image processing and analysis for quick, accurate, and precise forest above ground biomass (AGB) evaluation are still challenging and difficult. This paper is aime...
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Angus D. Warfield and Javier X. Leon
Mangroves provide a variety of ecosystem services, which can be related to their structural complexity and ability to store carbon in the above ground biomass (AGB). Quantifying AGB in mangroves has traditionally been conducted using destructive, time-co...
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Adriana Lizeth Tovar Blanco, Iván Alberto Lizarazo Salcedo, Nelly Rodríguez Eraso
ResumenDescargasReferenciasCómo citar
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Robert Treuhaft, Yang Lei, Fabio Gonçalves, Michael Keller, João Roberto dos Santos, Maxim Neumann and André Almeida
Changes in tropical-forest structure and aboveground biomass (AGB) contribute directly to atmospheric changes in CO 2 , which, in turn, bear on global climate. This paper demonstrates the capability of radar-interferometric phase-height time series at...
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María De los Ángeles Soriano-Luna, Gregorio Ángeles-Pérez, Mario Guevara, Richard Birdsey, Yude Pan, Humberto Vaquera-Huerta, José René Valdez-Lazalde, Kristofer D. Johnson and Rodrigo Vargas
The proper estimation of above-ground biomass (AGB) stocks of managed forests is a prerequisite to quantifying their role in climate change mitigation. The aim of this study was to analyze the spatial variability of AGB and its uncertainty between active...
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Aihua Shen, Chaofan Wu, Bo Jiang, Jinsong Deng, Weigao Yuan, Ke Wang, Shan He, Enyan Zhu, Yue Lin and Chuping Wu
Biomass is a key biophysical parameter used to estimate carbon storage and forest productivity. Spatially-explicit estimation of biomass provides invaluable information for carbon stock calculation and scientific forest management. Nevertheless, there st...
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Vicente de Paula Sousa Júnior, Javier Sparacino, Giovana Mira de Espindola and Raimundo Jucier Sousa de Assis
Remote sensing is valuable for estimating aboveground biomass (AGB) stocks. However, its application in agricultural and pasture areas is limited compared with forest areas. This study quantifies AGB in agriculture?pasture mosaics within Brazil?s Campo M...
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Nicola Clerici, Kristian Rubiano, Amr Abd-Elrahman, Juan Manuel Posada Hoestettler and Francisco J. Escobedo
Periurban forests are key to offsetting anthropogenic carbon emissions, but they are under constant threat from urbanization. In particular, secondary Neotropical forest types in Andean periurban areas have a high potential to store carbon, but are curre...
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S. Sandeep,M. Siveram,K.K. Sreejesh,T.P. Thomas
The use of suitable tree biomass allometric equations is crucial for making precise and non- destructive estimation of carbon storage and biomass energy values. The aim of this research was to evaluate the accuracy of the most commonly used pantropical a...
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C. Bulafu,D. Barang,A.E. Eycott,P. Mucunguzi,R.J. Telford,V. Vandvik
Aboveground biomass (AGB) contained in privately-owned forests is less frequently measured than in forest reserves despite their greater likelihood of degradation. We demonstrate how density changes in contrast to species compositional changes have drive...
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Debajit Rabha
Pág. 147 - 155
The present paper deals with the above ground biomass and carbon stocks of an undisturbed Sal forest of Goalpara district, Assam, Northeast India. The average AGB and C were recorded 239.45 ± 12.8 Mg ha-1 and 119.73 ± 6.4 Mg ha-1. Density distribution cu...
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Dimitris Stratoulias, Narissara Nuthammachot, Tanita Suepa and Khamphe Phoungthong
Earth Observation (EO) spectral indices have been an important tool for quantifying and monitoring forest biomass. Nevertheless, the selection of the bands and their combination is often realized based on preceding studies or generic assumptions. The cur...
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Krishna P. Poudel, James W. Flewelling and Hailemariam Temesgen
Using lidar for large-scale forest management can improve operational and management decisions. Using multi-temporal lidar sampling and remeasured field inventory data collected from 78 plots in the Panther Creek Watershed, Oregon, USA, we evaluated the ...
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Muhammad Zulkarnain Abd Rahman, Md Afif Abu Bakar, Khamarrul Azahari Razak, Abd Wahid Rasib, Kasturi Devi Kanniah, Wan Hazli Wan Kadir, Hamdan Omar, Azahari Faidi, Abd Rahman Kassim and Zulkiflee Abd Latif
Recent methods for detailed and accurate biomass and carbon stock estimation of forests have been driven by advances in remote sensing technology. The conventional approach to biomass estimation heavily relies on the tree species and site-specific allome...
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Zhongyu Yang, Zirui Yu, Xiaoyun Wang, Wugeng Yan, Shijie Sun, Meichen Feng, Jingjing Sun, Pengyan Su, Xinkai Sun, Zhigang Wang, Chenbo Yang, Chao Wang, Yu Zhao, Lujie Xiao, Xiaoyan Song, Meijun Zhang and Wude Yang
Aboveground biomass (AGB) is a key parameter reflecting crop growth which plays a vital role in agricultural management and ecosystem assessment. Real-time and non-destructive biomass monitoring is essential for accurate field management and crop yield p...
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Hongyu Wang, Yiren Ding, Qiushuang Yao, Lulu Ma, Yiru Ma, Mi Yang, Shizhe Qin, Feng Xu, Ze Zhang and Zhe Gao
Cotton yield estimation is of great practical significance to producers, allowing them to make rational management decisions. At present, crop yield estimation methods mainly comprise traditional agricultural yield estimation methods, which have many sho...
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