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1 - 9 of 9 items

Mapping forest aboveground biomass with a simulated ICESat-2 vegetation canopy product and Landsat data

Lana Landra Narine, Sorin Popescu, Tan Zhou, Shruthi Srinivasan, Kaitlin Harbeck
69-86
2019-03-06

Above-ground biomass estimation in a Mediterranean sparse coppice oak forest using Sentinel-2 data

Fardin Moradi, Seyed Mohamad Moein Sadeghi, Hadi Beygi Heidarlou, Azade Deljouei, Erfan Boshkar, Stelian Alexandru Borz
165 - 182
2022-07-01

Estimating aboveground biomass using Landsat TM imagery: A case study of Anatolian Crimean pine forests in Turkey

A. Günlü, I. Ercanli, E.Z. Başkent, G. Çakır
289-298
2014-11-27

Evaluating SAR-optical sensor fusion for aboveground biomass estimation in a Brazilian tropical forest

Aline Bernarda Debastiani, Carlos Roberto Sanquetta, Ana Paula Dalla Corte, Naiara Sardinha Pinto, Franciel Eduardo Rex
109-122
2019-07-30

Allometric models for aboveground biomass of ten tree species in northeast China

Shuo Cai, Xingang Kang, Lixin Zhang
105-122
2013-04-14

Effects of species and tree size diversity on above-ground biomass in diverse heterogeneous tropical evergreen forests, Quangbinh Province, north central Vietnam

Nguyen Hong Hai, Pham Van Dien, Bui The Doi, Trinh Hien Mai, Nguyen Van Quy, Nguyen Thanh Tuan
31 - 40
2024-07-11

Height estimation of pine (Pinus eldarica) single trees using slope corrected shadow length on unmanned aerial vehicle (UAV) imagery in a plantation forest

Ali Hosingholizade, Yousef Erfanifard, Seyed Kazem Alavipanah, Hooman Latifi, Yaser Jouybari-Moghaddam
3 - 16
2023-12-27

Patterns of biomass allocation between foliage and woody structure: the effects of tree size and specific functional traits

Sylvanus Mensah, Romain Glèlè Kakaï, Thomas Seifert
49-60
2016-03-21

Stratification of vertical canopy structure to improve estimation of forest inventory attributes using airborne LiDAR data in a large subtropical region of China

Mei Zhou, Chungan Li, Zhen Li, Zhu Yu, Xiangbei Zhou
101 - 120
2023-12-27
1 - 9 of 9 items

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  • 2.9 (Year Impact Factor)(Q1)
  • 2.3 (5-Year Impact Factor)
  • 2.9 (CiteScore)
  • 1.11 (SNIP)
  • 0.451 (SJR)

 

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